This pipeline performs Gene Set Enrichment Analysis (GSEA) using The Broad Institute GSEA tool with MSigDB - Class2: Canonical Pathways gene sets. For a given phenotype subtype, it shows what pathways are significantly enriched in each subtype by comparing gene expression profiles between subtypes. Here, the phenotype is mRNAseq_cNMF subtypes in DLBC-TP. This pipeline has the following features:
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For each subtype, calculates enrichment scores (ES) using signal to noise (S2N) that checks similarity between subtypes in expression level then calculates p values through permutation test.
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Lists pathways significantly enriched in each phenotype subtype and their enrichment scores (ES).
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Lists top 20 core genes enriched in each significant gene set and their enrichment scores (ES).
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Checks if the top core genes are up-regulated or down-regulated.
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Checks if the top core genes are high expressed or low expressed.
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Checks if the top core genes are significantly differently expressed genes.
Table 1. Get Full Table basic data info
basic data info |
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Number of Gene Sets: 188 |
Number of samples: 28 |
Original number of Gene Sets: 404 |
Maximum gene set size: 388 |
Table 2. Get Full Table pheno data info
phenotype info |
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pheno.type: 1 - 2 :[ clus1 ] 15 |
pheno.type: 2 - 2 :[ clus2 ] 13 |
For the expression subtypes of 17576 genes in 29 samples, GSEA found enriched gene sets in each cluster using 28 gene sets in MSigDB canonical pathways. Top enriched gene sets are listed as below.
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clus1
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Top enriched gene sets are BIOCARTA INFLAM PATHWAY, BIOCARTA RACCYCD PATHWAY, BIOCARTA IL1R PATHWAY, KEGG CITRATE CYCLE TCA CYCLE, KEGG PENTOSE PHOSPHATE PATHWAY, KEGG FRUCTOSE AND MANNOSE METABOLISM, KEGG PYRIMIDINE METABOLISM, KEGG LYSINE DEGRADATION, KEGG AMINO SUGAR AND NUCLEOTIDE SUGAR METABOLISM, KEGG PYRUVATE METABOLISM
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And common core enriched genes are GMPPB, HK2, HK3, DLST, AMDHD2, CHIA, CHIT1, GALE, GALK1, GFPT2
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clus2
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Top enriched gene sets are BIOCARTA ALK PATHWAY, BIOCARTA CARM ER PATHWAY, BIOCARTA GH PATHWAY, BIOCARTA TCR PATHWAY, KEGG FATTY ACID METABOLISM, KEGG ABC TRANSPORTERS, KEGG CARDIAC MUSCLE CONTRACTION, KEGG WNT SIGNALING PATHWAY, KEGG CELL ADHESION MOLECULES CAMS, KEGG INTESTINAL IMMUNE NETWORK FOR IGA PRODUCTION
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And common core enriched genes are CDH1, LEF1, TCF7, TCF7L1, GH1, HNF1A, IRS1, PLCG1, PRKCA, PRKCB
Table 3. Get Full Table This table shows top 10 pathways which are significantly enriched in cluster clus1. It displays only significant gene sets satisfying nom.p.val.threshold (-1), fwer.p.val.threshold (-1) , fdr.q.val.threshold (0.25) and the default table is sorted by Normalized Enrichment Score (NES). Further details on NES statistics, please visit The Broad GSEA website.
GeneSet(GS) | Size(#genes) | genes.ES.table | ES | NES | NOM.p.val | FDR.q.val | FWER.p.val | Tag.. | Gene.. | Signal | FDR..median. | glob.p.val |
---|---|---|---|---|---|---|---|---|---|---|---|---|
BIOCARTA INFLAM PATHWAY | 25 | genes.ES.table | 0.58 | 1.3 | 0.1 | 0.56 | 0.97 | 0.4 | 0.19 | 0.32 | 0.51 | 0.12 |
BIOCARTA RACCYCD PATHWAY | 25 | genes.ES.table | 0.42 | 1.5 | 0.071 | 0.41 | 0.84 | 0.52 | 0.36 | 0.34 | 0.31 | 0.083 |
BIOCARTA IL1R PATHWAY | 31 | genes.ES.table | 0.55 | 1.5 | 0.067 | 0.39 | 0.89 | 0.36 | 0.19 | 0.29 | 0.31 | 0.053 |
KEGG CITRATE CYCLE TCA CYCLE | 29 | genes.ES.table | 0.49 | 1.7 | 0.034 | 0.41 | 0.42 | 0.59 | 0.34 | 0.39 | 0 | 0.14 |
KEGG PENTOSE PHOSPHATE PATHWAY | 26 | genes.ES.table | 0.52 | 1.4 | 0.15 | 0.54 | 0.96 | 0.58 | 0.25 | 0.43 | 0.48 | 0.11 |
KEGG FRUCTOSE AND MANNOSE METABOLISM | 32 | genes.ES.table | 0.52 | 1.7 | 0.012 | 0.31 | 0.46 | 0.34 | 0.2 | 0.28 | 0 | 0.082 |
KEGG PYRIMIDINE METABOLISM | 97 | genes.ES.table | 0.35 | 1.5 | 0.054 | 0.43 | 0.83 | 0.3 | 0.22 | 0.23 | 0.32 | 0.098 |
KEGG LYSINE DEGRADATION | 43 | genes.ES.table | 0.43 | 1.7 | 0.026 | 0.32 | 0.56 | 0.37 | 0.24 | 0.28 | 0.17 | 0.078 |
KEGG AMINO SUGAR AND NUCLEOTIDE SUGAR METABOLISM | 43 | genes.ES.table | 0.51 | 1.9 | 0.0098 | 0.12 | 0.086 | 0.51 | 0.26 | 0.38 | 0 | 0.046 |
KEGG PYRUVATE METABOLISM | 37 | genes.ES.table | 0.41 | 1.3 | 0.16 | 0.59 | 0.97 | 0.43 | 0.24 | 0.33 | 0.53 | 0.14 |
Table S1. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | HK3 | HK3 | HK3 | 184 | 0.49 | 0.1 | YES |
2 | GFPT2 | GFPT2 | GFPT2 | 206 | 0.48 | 0.21 | YES |
3 | CHIT1 | CHIT1 | CHIT1 | 491 | 0.36 | 0.28 | YES |
4 | NPL | NPL | NPL | 1329 | 0.21 | 0.28 | YES |
5 | HEXB | HEXB | HEXB | 1685 | 0.18 | 0.3 | YES |
6 | HK2 | HK2 | HK2 | 1761 | 0.17 | 0.33 | YES |
7 | PGM3 | PGM3 | PGM3 | 1806 | 0.17 | 0.37 | YES |
8 | GMPPB | GMPPB | GMPPB | 2421 | 0.13 | 0.37 | YES |
9 | PGM2 | PGM2 | PGM2 | 2525 | 0.12 | 0.39 | YES |
10 | PGM1 | PGM1 | PGM1 | 2853 | 0.11 | 0.39 | YES |
11 | GALE | GALE | GALE | 3056 | 0.1 | 0.41 | YES |
12 | CHIA | CHIA | CHIA | 3152 | 0.096 | 0.42 | YES |
13 | GALK1 | GALK1 | GALK1 | 3266 | 0.091 | 0.44 | YES |
14 | HEXA | HEXA | HEXA | 3274 | 0.091 | 0.46 | YES |
15 | RENBP | RENBP | RENBP | 3292 | 0.09 | 0.48 | YES |
16 | GNE | GNE | GNE | 3547 | 0.08 | 0.48 | YES |
17 | UGP2 | UGP2 | UGP2 | 3705 | 0.076 | 0.49 | YES |
18 | UAP1 | UAP1 | UAP1 | 3822 | 0.072 | 0.5 | YES |
19 | HK1 | HK1 | HK1 | 4210 | 0.061 | 0.49 | YES |
20 | AMDHD2 | AMDHD2 | AMDHD2 | 4284 | 0.058 | 0.5 | YES |
21 | GNPNAT1 | GNPNAT1 | GNPNAT1 | 4525 | 0.052 | 0.5 | YES |
22 | PMM2 | PMM2 | PMM2 | 4571 | 0.051 | 0.51 | YES |
23 | GPI | GPI | GPI | 5231 | 0.037 | 0.48 | NO |
24 | GMPPA | GMPPA | GMPPA | 5563 | 0.031 | 0.47 | NO |
25 | UGDH | UGDH | UGDH | 5679 | 0.029 | 0.47 | NO |
26 | CMAS | CMAS | CMAS | 5939 | 0.024 | 0.46 | NO |
27 | PMM1 | PMM1 | PMM1 | 6015 | 0.023 | 0.46 | NO |
28 | CYB5R1 | CYB5R1 | CYB5R1 | 6193 | 0.02 | 0.45 | NO |
29 | MPI | MPI | MPI | 6279 | 0.019 | 0.45 | NO |
30 | GMDS | GMDS | GMDS | 6590 | 0.014 | 0.44 | NO |
31 | GALK2 | GALK2 | GALK2 | 6744 | 0.012 | 0.43 | NO |
32 | NANS | NANS | NANS | 6903 | 0.0097 | 0.42 | NO |
33 | NANP | NANP | NANP | 6958 | 0.0089 | 0.42 | NO |
34 | FPGT | FPGT | FPGT | 8567 | -0.013 | 0.34 | NO |
35 | GFPT1 | GFPT1 | GFPT1 | 9707 | -0.029 | 0.28 | NO |
36 | TSTA3 | TSTA3 | TSTA3 | 10251 | -0.038 | 0.25 | NO |
37 | NAGK | NAGK | NAGK | 10351 | -0.039 | 0.26 | NO |
38 | UXS1 | UXS1 | UXS1 | 10551 | -0.043 | 0.26 | NO |
39 | GNPDA2 | GNPDA2 | GNPDA2 | 11170 | -0.054 | 0.23 | NO |
40 | GALT | GALT | GALT | 11503 | -0.061 | 0.23 | NO |
41 | GNPDA1 | GNPDA1 | GNPDA1 | 12057 | -0.074 | 0.21 | NO |
42 | FUK | FUK | FUK | 12350 | -0.08 | 0.22 | NO |
43 | GCK | GCK | GCK | 16631 | -0.36 | 0.053 | NO |
Figure S1. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA INFLAM PATHWAY.

Figure S2. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA INFLAM PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S2. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | PC | PC | PC | 781 | 0.29 | 0.12 | YES |
2 | ACO1 | ACO1 | ACO1 | 908 | 0.27 | 0.26 | YES |
3 | IDH1 | IDH1 | IDH1 | 1681 | 0.18 | 0.32 | YES |
4 | PCK2 | PCK2 | PCK2 | 2970 | 0.1 | 0.3 | YES |
5 | DLAT | DLAT | DLAT | 3464 | 0.083 | 0.32 | YES |
6 | IDH3A | IDH3A | IDH3A | 3625 | 0.078 | 0.36 | YES |
7 | DLST | DLST | DLST | 3955 | 0.068 | 0.38 | YES |
8 | PCK1 | PCK1 | PCK1 | 4162 | 0.062 | 0.4 | YES |
9 | ACLY | ACLY | ACLY | 4448 | 0.054 | 0.41 | YES |
10 | SDHB | SDHB | SDHB | 4818 | 0.045 | 0.42 | YES |
11 | SDHA | SDHA | SDHA | 4826 | 0.045 | 0.44 | YES |
12 | IDH2 | IDH2 | IDH2 | 4958 | 0.042 | 0.46 | YES |
13 | CS | CS | CS | 5280 | 0.036 | 0.46 | YES |
14 | SUCLA2 | SUCLA2 | SUCLA2 | 5408 | 0.034 | 0.47 | YES |
15 | DLD | DLD | DLD | 5438 | 0.033 | 0.49 | YES |
16 | MDH2 | MDH2 | MDH2 | 5858 | 0.025 | 0.48 | YES |
17 | SDHD | SDHD | SDHD | 5899 | 0.025 | 0.49 | YES |
18 | SDHC | SDHC | SDHC | 6418 | 0.017 | 0.47 | NO |
19 | MDH1 | MDH1 | MDH1 | 6746 | 0.012 | 0.46 | NO |
20 | OGDH | OGDH | OGDH | 7606 | 0.000046 | 0.41 | NO |
21 | SUCLG1 | SUCLG1 | SUCLG1 | 7785 | -0.0025 | 0.4 | NO |
22 | SUCLG2 | SUCLG2 | SUCLG2 | 7997 | -0.0057 | 0.39 | NO |
23 | IDH3B | IDH3B | IDH3B | 8122 | -0.0073 | 0.39 | NO |
24 | PDHA1 | PDHA1 | PDHA1 | 8231 | -0.0087 | 0.39 | NO |
25 | ACO2 | ACO2 | ACO2 | 8675 | -0.015 | 0.37 | NO |
26 | PDHB | PDHB | PDHB | 8908 | -0.018 | 0.36 | NO |
27 | IDH3G | IDH3G | IDH3G | 9764 | -0.03 | 0.33 | NO |
28 | FH | FH | FH | 11210 | -0.055 | 0.28 | NO |
29 | OGDHL | OGDHL | OGDHL | 14234 | -0.14 | 0.19 | NO |
Figure S3. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA RACCYCD PATHWAY.

Figure S4. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA RACCYCD PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S3. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | HK3 | HK3 | HK3 | 184 | 0.49 | 0.14 | YES |
2 | PFKFB3 | PFKFB3 | PFKFB3 | 341 | 0.41 | 0.26 | YES |
3 | PFKFB4 | PFKFB4 | PFKFB4 | 363 | 0.4 | 0.38 | YES |
4 | FBP1 | FBP1 | FBP1 | 1135 | 0.24 | 0.4 | YES |
5 | HK2 | HK2 | HK2 | 1761 | 0.17 | 0.42 | YES |
6 | PFKP | PFKP | PFKP | 2333 | 0.14 | 0.43 | YES |
7 | GMPPB | GMPPB | GMPPB | 2421 | 0.13 | 0.46 | YES |
8 | SORD | SORD | SORD | 2675 | 0.12 | 0.48 | YES |
9 | AKR1B1 | AKR1B1 | AKR1B1 | 3035 | 0.1 | 0.5 | YES |
10 | ALDOB | ALDOB | ALDOB | 3165 | 0.095 | 0.52 | YES |
11 | TPI1 | TPI1 | TPI1 | 3484 | 0.082 | 0.52 | YES |
12 | HK1 | HK1 | HK1 | 4210 | 0.061 | 0.5 | NO |
13 | PMM2 | PMM2 | PMM2 | 4571 | 0.051 | 0.5 | NO |
14 | MTMR2 | MTMR2 | MTMR2 | 5153 | 0.038 | 0.47 | NO |
15 | MTMR6 | MTMR6 | MTMR6 | 5508 | 0.032 | 0.46 | NO |
16 | GMPPA | GMPPA | GMPPA | 5563 | 0.031 | 0.47 | NO |
17 | PMM1 | PMM1 | PMM1 | 6015 | 0.023 | 0.45 | NO |
18 | MPI | MPI | MPI | 6279 | 0.019 | 0.44 | NO |
19 | GMDS | GMDS | GMDS | 6590 | 0.014 | 0.43 | NO |
20 | PFKL | PFKL | PFKL | 7251 | 0.0048 | 0.39 | NO |
21 | PHPT1 | PHPT1 | PHPT1 | 7672 | -0.00097 | 0.37 | NO |
22 | ALDOC | ALDOC | ALDOC | 7829 | -0.0029 | 0.36 | NO |
23 | PFKM | PFKM | PFKM | 7872 | -0.0035 | 0.36 | NO |
24 | FPGT | FPGT | FPGT | 8567 | -0.013 | 0.32 | NO |
25 | KHK | KHK | KHK | 9270 | -0.023 | 0.29 | NO |
26 | TSTA3 | TSTA3 | TSTA3 | 10251 | -0.038 | 0.24 | NO |
27 | PFKFB2 | PFKFB2 | PFKFB2 | 10279 | -0.038 | 0.26 | NO |
28 | MTMR1 | MTMR1 | MTMR1 | 11123 | -0.053 | 0.22 | NO |
29 | MTMR7 | MTMR7 | MTMR7 | 11216 | -0.055 | 0.24 | NO |
30 | FUK | FUK | FUK | 12350 | -0.08 | 0.2 | NO |
31 | PFKFB1 | PFKFB1 | PFKFB1 | 14620 | -0.17 | 0.12 | NO |
32 | FBP2 | FBP2 | FBP2 | 14687 | -0.17 | 0.16 | NO |
Figure S5. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA IL1R PATHWAY.

Figure S6. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA IL1R PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S4. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | PLOD2 | PLOD2 | PLOD2 | 62 | 0.64 | 0.2 | YES |
2 | BBOX1 | BBOX1 | BBOX1 | 1809 | 0.17 | 0.15 | YES |
3 | PLOD1 | PLOD1 | PLOD1 | 1875 | 0.17 | 0.2 | YES |
4 | ACAT2 | ACAT2 | ACAT2 | 2358 | 0.13 | 0.21 | YES |
5 | PIPOX | PIPOX | PIPOX | 2453 | 0.13 | 0.25 | YES |
6 | TMLHE | TMLHE | TMLHE | 2495 | 0.12 | 0.29 | YES |
7 | ACAT1 | ACAT1 | ACAT1 | 3195 | 0.094 | 0.28 | YES |
8 | SUV39H2 | SUV39H2 | SUV39H2 | 3254 | 0.092 | 0.3 | YES |
9 | PLOD3 | PLOD3 | PLOD3 | 3332 | 0.089 | 0.32 | YES |
10 | ALDH2 | ALDH2 | ALDH2 | 3701 | 0.076 | 0.33 | YES |
11 | SETD7 | SETD7 | SETD7 | 3770 | 0.074 | 0.35 | YES |
12 | DLST | DLST | DLST | 3955 | 0.068 | 0.36 | YES |
13 | WHSC1L1 | WHSC1L1 | WHSC1L1 | 4025 | 0.066 | 0.38 | YES |
14 | SUV39H1 | SUV39H1 | SUV39H1 | 4029 | 0.066 | 0.4 | YES |
15 | SETD8 | SETD8 | SETD8 | 4128 | 0.063 | 0.41 | YES |
16 | ALDH1B1 | ALDH1B1 | ALDH1B1 | 4193 | 0.061 | 0.42 | YES |
17 | WHSC1 | WHSC1 | WHSC1 | 6056 | 0.022 | 0.33 | NO |
18 | HADHA | HADHA | HADHA | 6221 | 0.02 | 0.32 | NO |
19 | AASDH | AASDH | AASDH | 6911 | 0.0096 | 0.29 | NO |
20 | HADH | HADH | HADH | 7113 | 0.0065 | 0.28 | NO |
21 | SETMAR | SETMAR | SETMAR | 7197 | 0.0056 | 0.27 | NO |
22 | SETDB2 | SETDB2 | SETDB2 | 7432 | 0.0023 | 0.26 | NO |
23 | SUV420H1 | SUV420H1 | SUV420H1 | 7438 | 0.0022 | 0.26 | NO |
24 | OGDH | OGDH | OGDH | 7606 | 0.000046 | 0.25 | NO |
25 | GCDH | GCDH | GCDH | 8309 | -0.0097 | 0.22 | NO |
26 | AASDHPPT | AASDHPPT | AASDHPPT | 8533 | -0.013 | 0.21 | NO |
27 | NSD1 | NSD1 | NSD1 | 8629 | -0.014 | 0.21 | NO |
28 | SETD2 | SETD2 | SETD2 | 8730 | -0.016 | 0.2 | NO |
29 | DOT1L | DOT1L | DOT1L | 8795 | -0.016 | 0.21 | NO |
30 | AADAT | AADAT | AADAT | 9739 | -0.03 | 0.16 | NO |
31 | SETD1A | SETD1A | SETD1A | 10030 | -0.034 | 0.16 | NO |
32 | ECHS1 | ECHS1 | ECHS1 | 10113 | -0.036 | 0.16 | NO |
33 | ALDH9A1 | ALDH9A1 | ALDH9A1 | 10370 | -0.04 | 0.16 | NO |
34 | ALDH3A2 | ALDH3A2 | ALDH3A2 | 10635 | -0.044 | 0.16 | NO |
35 | SETDB1 | SETDB1 | SETDB1 | 10956 | -0.05 | 0.16 | NO |
36 | ALDH7A1 | ALDH7A1 | ALDH7A1 | 11372 | -0.058 | 0.15 | NO |
37 | AASS | AASS | AASS | 12202 | -0.077 | 0.13 | NO |
38 | SUV420H2 | SUV420H2 | SUV420H2 | 12235 | -0.078 | 0.15 | NO |
39 | EHMT1 | EHMT1 | EHMT1 | 12265 | -0.079 | 0.17 | NO |
40 | SETD1B | SETD1B | SETD1B | 12284 | -0.079 | 0.2 | NO |
41 | EHMT2 | EHMT2 | EHMT2 | 12352 | -0.08 | 0.22 | NO |
42 | ASH1L | ASH1L | ASH1L | 13147 | -0.1 | 0.21 | NO |
43 | OGDHL | OGDHL | OGDHL | 14234 | -0.14 | 0.19 | NO |
Figure S7. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG CITRATE CYCLE TCA CYCLE.

Figure S8. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG CITRATE CYCLE TCA CYCLE, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S5. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | DNA2 | DNA2 | DNA2 | 1691 | 0.18 | -0.0058 | YES |
2 | POLE2 | POLE2 | POLE2 | 2093 | 0.15 | 0.047 | YES |
3 | PRIM1 | PRIM1 | PRIM1 | 2329 | 0.14 | 0.1 | YES |
4 | POLD3 | POLD3 | POLD3 | 2594 | 0.12 | 0.15 | YES |
5 | MCM4 | MCM4 | MCM4 | 2739 | 0.11 | 0.2 | YES |
6 | POLA2 | POLA2 | POLA2 | 2949 | 0.1 | 0.24 | YES |
7 | RPA3 | RPA3 | RPA3 | 3143 | 0.096 | 0.28 | YES |
8 | POLD1 | POLD1 | POLD1 | 3530 | 0.081 | 0.3 | YES |
9 | MCM6 | MCM6 | MCM6 | 3739 | 0.074 | 0.32 | YES |
10 | FEN1 | FEN1 | FEN1 | 3859 | 0.071 | 0.35 | YES |
11 | PRIM2 | PRIM2 | PRIM2 | 3912 | 0.069 | 0.38 | YES |
12 | MCM3 | MCM3 | MCM3 | 3921 | 0.069 | 0.42 | YES |
13 | RNASEH1 | RNASEH1 | RNASEH1 | 3925 | 0.069 | 0.45 | YES |
14 | RFC4 | RFC4 | RFC4 | 3927 | 0.069 | 0.49 | YES |
15 | PCNA | PCNA | PCNA | 4004 | 0.067 | 0.52 | YES |
16 | RFC3 | RFC3 | RFC3 | 4251 | 0.059 | 0.53 | YES |
17 | RFC5 | RFC5 | RFC5 | 4434 | 0.054 | 0.55 | YES |
18 | MCM7 | MCM7 | MCM7 | 4568 | 0.051 | 0.57 | YES |
19 | RNASEH2A | RNASEH2A | RNASEH2A | 4685 | 0.048 | 0.58 | YES |
20 | MCM2 | MCM2 | MCM2 | 4806 | 0.046 | 0.6 | YES |
21 | POLE | POLE | POLE | 5570 | 0.031 | 0.57 | NO |
22 | POLD4 | POLD4 | POLD4 | 5594 | 0.03 | 0.59 | NO |
23 | LIG1 | LIG1 | LIG1 | 5868 | 0.025 | 0.58 | NO |
24 | RFC2 | RFC2 | RFC2 | 6034 | 0.023 | 0.58 | NO |
25 | RFC1 | RFC1 | RFC1 | 7152 | 0.006 | 0.52 | NO |
26 | POLD2 | POLD2 | POLD2 | 7301 | 0.004 | 0.52 | NO |
27 | RNASEH2C | RNASEH2C | RNASEH2C | 7421 | 0.0024 | 0.51 | NO |
28 | MCM5 | MCM5 | MCM5 | 7501 | 0.0014 | 0.51 | NO |
29 | POLE3 | POLE3 | POLE3 | 7511 | 0.0012 | 0.51 | NO |
30 | RPA4 | RPA4 | RPA4 | 7892 | -0.0038 | 0.49 | NO |
31 | SSBP1 | SSBP1 | SSBP1 | 7980 | -0.0054 | 0.49 | NO |
32 | RPA2 | RPA2 | RPA2 | 8696 | -0.015 | 0.45 | NO |
33 | POLE4 | POLE4 | POLE4 | 9381 | -0.025 | 0.43 | NO |
34 | RPA1 | RPA1 | RPA1 | 9885 | -0.032 | 0.42 | NO |
35 | RNASEH2B | RNASEH2B | RNASEH2B | 10736 | -0.046 | 0.39 | NO |
Figure S9. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG PENTOSE PHOSPHATE PATHWAY.

Figure S10. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG PENTOSE PHOSPHATE PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S6. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | SLC11A1 | SLC11A1 | SLC11A1 | 8 | 0.88 | 0.077 | YES |
2 | CTSK | CTSK | CTSK | 430 | 0.38 | 0.087 | YES |
3 | ATP6V0D2 | ATP6V0D2 | ATP6V0D2 | 666 | 0.32 | 0.1 | YES |
4 | CTSL1 | CTSL1 | CTSL1 | 921 | 0.27 | 0.11 | YES |
5 | GLA | GLA | GLA | 1087 | 0.24 | 0.12 | YES |
6 | CTSB | CTSB | CTSB | 1337 | 0.21 | 0.13 | YES |
7 | HEXB | HEXB | HEXB | 1685 | 0.18 | 0.12 | YES |
8 | GALC | GALC | GALC | 1801 | 0.17 | 0.13 | YES |
9 | ARSB | ARSB | ARSB | 1837 | 0.17 | 0.14 | YES |
10 | CTSW | CTSW | CTSW | 1913 | 0.16 | 0.16 | YES |
11 | SCARB2 | SCARB2 | SCARB2 | 1938 | 0.16 | 0.17 | YES |
12 | SORT1 | SORT1 | SORT1 | 1951 | 0.16 | 0.18 | YES |
13 | ACP5 | ACP5 | ACP5 | 2050 | 0.15 | 0.19 | YES |
14 | ACP2 | ACP2 | ACP2 | 2105 | 0.15 | 0.2 | YES |
15 | CTSD | CTSD | CTSD | 2110 | 0.15 | 0.21 | YES |
16 | CD68 | CD68 | CD68 | 2196 | 0.14 | 0.22 | YES |
17 | GLB1 | GLB1 | GLB1 | 2245 | 0.14 | 0.23 | YES |
18 | PSAP | PSAP | PSAP | 2385 | 0.13 | 0.23 | YES |
19 | SLC17A5 | SLC17A5 | SLC17A5 | 2398 | 0.13 | 0.24 | YES |
20 | NPC1 | NPC1 | NPC1 | 2475 | 0.13 | 0.25 | YES |
21 | GNS | GNS | GNS | 2481 | 0.13 | 0.26 | YES |
22 | LAMP2 | LAMP2 | LAMP2 | 2581 | 0.12 | 0.27 | YES |
23 | ASAH1 | ASAH1 | ASAH1 | 2600 | 0.12 | 0.28 | YES |
24 | DNASE2B | DNASE2B | DNASE2B | 2711 | 0.12 | 0.28 | YES |
25 | ATP6V1H | ATP6V1H | ATP6V1H | 2759 | 0.11 | 0.29 | YES |
26 | GALNS | GALNS | GALNS | 2851 | 0.11 | 0.29 | YES |
27 | CD63 | CD63 | CD63 | 2863 | 0.11 | 0.3 | YES |
28 | GM2A | GM2A | GM2A | 2912 | 0.11 | 0.31 | YES |
29 | LGMN | LGMN | LGMN | 3003 | 0.1 | 0.31 | YES |
30 | IGF2R | IGF2R | IGF2R | 3023 | 0.1 | 0.32 | YES |
31 | LAPTM4B | LAPTM4B | LAPTM4B | 3108 | 0.098 | 0.32 | YES |
32 | NAGA | NAGA | NAGA | 3126 | 0.097 | 0.33 | YES |
33 | ENTPD4 | ENTPD4 | ENTPD4 | 3130 | 0.097 | 0.34 | YES |
34 | ATP6V0D1 | ATP6V0D1 | ATP6V0D1 | 3175 | 0.095 | 0.34 | YES |
35 | GBA | GBA | GBA | 3179 | 0.095 | 0.35 | YES |
36 | CTSS | CTSS | CTSS | 3183 | 0.094 | 0.36 | YES |
37 | CTSL2 | CTSL2 | CTSL2 | 3198 | 0.094 | 0.37 | YES |
38 | HEXA | HEXA | HEXA | 3274 | 0.091 | 0.37 | YES |
39 | GAA | GAA | GAA | 3275 | 0.091 | 0.38 | YES |
40 | CTSZ | CTSZ | CTSZ | 3352 | 0.088 | 0.38 | YES |
41 | DNASE2 | DNASE2 | DNASE2 | 3425 | 0.085 | 0.39 | YES |
42 | TCIRG1 | TCIRG1 | TCIRG1 | 3685 | 0.076 | 0.38 | YES |
43 | ATP6AP1 | ATP6AP1 | ATP6AP1 | 3707 | 0.076 | 0.38 | YES |
44 | ATP6V0B | ATP6V0B | ATP6V0B | 3801 | 0.072 | 0.39 | YES |
45 | NEU1 | NEU1 | NEU1 | 3886 | 0.07 | 0.39 | YES |
46 | ARSA | ARSA | ARSA | 3975 | 0.067 | 0.39 | YES |
47 | CTSA | CTSA | CTSA | 4019 | 0.066 | 0.39 | YES |
48 | SLC11A2 | SLC11A2 | SLC11A2 | 4044 | 0.065 | 0.4 | YES |
49 | NAPSA | NAPSA | NAPSA | 4095 | 0.064 | 0.4 | YES |
50 | ATP6V0C | ATP6V0C | ATP6V0C | 4134 | 0.063 | 0.4 | YES |
51 | MANBA | MANBA | MANBA | 4140 | 0.063 | 0.41 | YES |
52 | AGA | AGA | AGA | 4472 | 0.053 | 0.39 | NO |
53 | CTSH | CTSH | CTSH | 4649 | 0.049 | 0.39 | NO |
54 | AP4E1 | AP4E1 | AP4E1 | 4693 | 0.048 | 0.39 | NO |
55 | PPT1 | PPT1 | PPT1 | 4764 | 0.047 | 0.39 | NO |
56 | AP4M1 | AP4M1 | AP4M1 | 4909 | 0.044 | 0.38 | NO |
57 | LAPTM4A | LAPTM4A | LAPTM4A | 4995 | 0.042 | 0.38 | NO |
58 | LIPA | LIPA | LIPA | 5002 | 0.042 | 0.39 | NO |
59 | LAMP1 | LAMP1 | LAMP1 | 5018 | 0.041 | 0.39 | NO |
60 | NAGLU | NAGLU | NAGLU | 5102 | 0.039 | 0.39 | NO |
61 | MAN2B1 | MAN2B1 | MAN2B1 | 5197 | 0.037 | 0.39 | NO |
62 | AP3M2 | AP3M2 | AP3M2 | 5242 | 0.037 | 0.39 | NO |
63 | IDS | IDS | IDS | 5620 | 0.03 | 0.37 | NO |
64 | M6PR | M6PR | M6PR | 5940 | 0.024 | 0.35 | NO |
65 | AP3S1 | AP3S1 | AP3S1 | 5960 | 0.024 | 0.35 | NO |
66 | NPC2 | NPC2 | NPC2 | 5967 | 0.024 | 0.36 | NO |
67 | CLTA | CLTA | CLTA | 5973 | 0.024 | 0.36 | NO |
68 | GNPTAB | GNPTAB | GNPTAB | 5998 | 0.023 | 0.36 | NO |
69 | SUMF1 | SUMF1 | SUMF1 | 6092 | 0.022 | 0.35 | NO |
70 | PLA2G15 | PLA2G15 | PLA2G15 | 6421 | 0.017 | 0.34 | NO |
71 | CLTC | CLTC | CLTC | 6463 | 0.016 | 0.34 | NO |
72 | TPP1 | TPP1 | TPP1 | 6551 | 0.015 | 0.33 | NO |
73 | AP1S2 | AP1S2 | AP1S2 | 6598 | 0.014 | 0.33 | NO |
74 | AP3B1 | AP3B1 | AP3B1 | 7085 | 0.007 | 0.3 | NO |
75 | GGA2 | GGA2 | GGA2 | 7318 | 0.0038 | 0.29 | NO |
76 | CTNS | CTNS | CTNS | 7400 | 0.0027 | 0.29 | NO |
77 | AP3M1 | AP3M1 | AP3M1 | 7424 | 0.0024 | 0.28 | NO |
78 | AP3S2 | AP3S2 | AP3S2 | 7490 | 0.0015 | 0.28 | NO |
79 | CTSC | CTSC | CTSC | 7613 | -0.000051 | 0.27 | NO |
80 | CLN3 | CLN3 | CLN3 | 7739 | -0.002 | 0.27 | NO |
81 | SMPD1 | SMPD1 | SMPD1 | 8272 | -0.0092 | 0.24 | NO |
82 | NAGPA | NAGPA | NAGPA | 8380 | -0.011 | 0.23 | NO |
83 | AP3D1 | AP3D1 | AP3D1 | 8594 | -0.014 | 0.22 | NO |
84 | AP4B1 | AP4B1 | AP4B1 | 8639 | -0.014 | 0.22 | NO |
85 | PPT2 | PPT2 | PPT2 | 8797 | -0.016 | 0.21 | NO |
86 | AP1B1 | AP1B1 | AP1B1 | 8825 | -0.017 | 0.21 | NO |
87 | GGA3 | GGA3 | GGA3 | 8830 | -0.017 | 0.21 | NO |
88 | CTSO | CTSO | CTSO | 8923 | -0.018 | 0.21 | NO |
89 | GNPTG | GNPTG | GNPTG | 9251 | -0.023 | 0.19 | NO |
90 | MCOLN1 | MCOLN1 | MCOLN1 | 9710 | -0.03 | 0.17 | NO |
91 | GUSB | GUSB | GUSB | 9728 | -0.03 | 0.17 | NO |
92 | ATP6V0A1 | ATP6V0A1 | ATP6V0A1 | 10011 | -0.034 | 0.16 | NO |
93 | CLTB | CLTB | CLTB | 10082 | -0.035 | 0.16 | NO |
94 | SGSH | SGSH | SGSH | 10169 | -0.037 | 0.16 | NO |
95 | AP1S1 | AP1S1 | AP1S1 | 10193 | -0.037 | 0.16 | NO |
96 | AP1G1 | AP1G1 | AP1G1 | 10194 | -0.037 | 0.16 | NO |
97 | ATP6V0A2 | ATP6V0A2 | ATP6V0A2 | 10384 | -0.04 | 0.15 | NO |
98 | MFSD8 | MFSD8 | MFSD8 | 10613 | -0.044 | 0.14 | NO |
99 | AP1M1 | AP1M1 | AP1M1 | 10619 | -0.044 | 0.15 | NO |
100 | LAPTM5 | LAPTM5 | LAPTM5 | 11085 | -0.052 | 0.13 | NO |
101 | CD164 | CD164 | CD164 | 11342 | -0.058 | 0.12 | NO |
102 | ARSG | ARSG | ARSG | 11575 | -0.062 | 0.11 | NO |
103 | HYAL1 | HYAL1 | HYAL1 | 12194 | -0.076 | 0.08 | NO |
104 | CTSF | CTSF | CTSF | 12622 | -0.087 | 0.063 | NO |
105 | CLN5 | CLN5 | CLN5 | 12815 | -0.092 | 0.06 | NO |
106 | GGA1 | GGA1 | GGA1 | 12975 | -0.096 | 0.06 | NO |
107 | AP1S3 | AP1S3 | AP1S3 | 13304 | -0.11 | 0.05 | NO |
108 | FUCA1 | FUCA1 | FUCA1 | 13644 | -0.12 | 0.041 | NO |
109 | AP4S1 | AP4S1 | AP4S1 | 14269 | -0.15 | 0.019 | NO |
110 | IDUA | IDUA | IDUA | 14286 | -0.15 | 0.031 | NO |
111 | AP1M2 | AP1M2 | AP1M2 | 14569 | -0.16 | 0.029 | NO |
112 | ABCA2 | ABCA2 | ABCA2 | 14729 | -0.17 | 0.035 | NO |
113 | AP3B2 | AP3B2 | AP3B2 | 14794 | -0.18 | 0.048 | NO |
114 | CTSE | CTSE | CTSE | 14883 | -0.18 | 0.059 | NO |
115 | LAMP3 | LAMP3 | LAMP3 | 15501 | -0.23 | 0.043 | NO |
116 | CLTCL1 | CLTCL1 | CLTCL1 | 15564 | -0.23 | 0.06 | NO |
117 | CTSG | CTSG | CTSG | 16167 | -0.29 | 0.052 | NO |
118 | ABCB9 | ABCB9 | ABCB9 | 16390 | -0.32 | 0.067 | NO |
Figure S11. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG FRUCTOSE AND MANNOSE METABOLISM.

Figure S12. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG FRUCTOSE AND MANNOSE METABOLISM, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S7. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | SPP1 | SPP1 | SPP1 | 14 | 0.81 | 0.094 | YES |
2 | IL8 | IL8 | IL8 | 221 | 0.47 | 0.14 | YES |
3 | IL6 | IL6 | IL6 | 334 | 0.42 | 0.18 | YES |
4 | CTSK | CTSK | CTSK | 430 | 0.38 | 0.22 | YES |
5 | TLR8 | TLR8 | TLR8 | 588 | 0.33 | 0.25 | YES |
6 | MAPK8 | MAPK8 | MAPK8 | 725 | 0.3 | 0.28 | YES |
7 | TLR2 | TLR2 | TLR2 | 777 | 0.29 | 0.31 | YES |
8 | FOS | FOS | FOS | 794 | 0.29 | 0.34 | YES |
9 | CD14 | CD14 | CD14 | 1114 | 0.24 | 0.35 | YES |
10 | MAPK10 | MAPK10 | MAPK10 | 1226 | 0.22 | 0.37 | YES |
11 | IL1B | IL1B | IL1B | 1390 | 0.21 | 0.38 | YES |
12 | TLR1 | TLR1 | TLR1 | 1602 | 0.19 | 0.4 | YES |
13 | CCL3 | CCL3 | CCL3 | 1800 | 0.17 | 0.4 | YES |
14 | CCL4 | CCL4 | CCL4 | 1812 | 0.17 | 0.42 | YES |
15 | MAP3K8 | MAP3K8 | MAP3K8 | 1954 | 0.16 | 0.43 | YES |
16 | CD80 | CD80 | CD80 | 2144 | 0.15 | 0.44 | YES |
17 | JUN | JUN | JUN | 2150 | 0.15 | 0.46 | YES |
18 | TLR3 | TLR3 | TLR3 | 2599 | 0.12 | 0.44 | YES |
19 | TLR4 | TLR4 | TLR4 | 2749 | 0.11 | 0.45 | YES |
20 | IFNB1 | IFNB1 | IFNB1 | 2858 | 0.11 | 0.46 | YES |
21 | TICAM2 | TICAM2 | TICAM2 | 2922 | 0.11 | 0.46 | YES |
22 | CHUK | CHUK | CHUK | 3001 | 0.1 | 0.47 | YES |
23 | CXCL10 | CXCL10 | CXCL10 | 3188 | 0.094 | 0.47 | YES |
24 | IFNAR2 | IFNAR2 | IFNAR2 | 3616 | 0.078 | 0.46 | NO |
25 | PIK3CG | PIK3CG | PIK3CG | 3754 | 0.074 | 0.46 | NO |
26 | CD40 | CD40 | CD40 | 3933 | 0.068 | 0.46 | NO |
27 | CCL5 | CCL5 | CCL5 | 4045 | 0.065 | 0.46 | NO |
28 | AKT3 | AKT3 | AKT3 | 4274 | 0.059 | 0.45 | NO |
29 | IFNA21 | IFNA21 | IFNA21 | 4442 | 0.054 | 0.45 | NO |
30 | IFNAR1 | IFNAR1 | IFNAR1 | 4524 | 0.052 | 0.45 | NO |
31 | STAT1 | STAT1 | STAT1 | 4616 | 0.05 | 0.45 | NO |
32 | IRAK1 | IRAK1 | IRAK1 | 4702 | 0.048 | 0.45 | NO |
33 | MAPK11 | MAPK11 | MAPK11 | 5154 | 0.038 | 0.43 | NO |
34 | MAPK13 | MAPK13 | MAPK13 | 5275 | 0.036 | 0.43 | NO |
35 | NFKB1 | NFKB1 | NFKB1 | 5452 | 0.033 | 0.42 | NO |
36 | FADD | FADD | FADD | 5541 | 0.031 | 0.42 | NO |
37 | AKT1 | AKT1 | AKT1 | 5625 | 0.03 | 0.42 | NO |
38 | MAPK14 | MAPK14 | MAPK14 | 5815 | 0.026 | 0.41 | NO |
39 | MYD88 | MYD88 | MYD88 | 5922 | 0.024 | 0.41 | NO |
40 | PIK3CA | PIK3CA | PIK3CA | 5953 | 0.024 | 0.41 | NO |
41 | RIPK1 | RIPK1 | RIPK1 | 6051 | 0.022 | 0.4 | NO |
42 | CXCL11 | CXCL11 | CXCL11 | 6172 | 0.02 | 0.4 | NO |
43 | MAP3K7 | MAP3K7 | MAP3K7 | 6456 | 0.016 | 0.39 | NO |
44 | TICAM1 | TICAM1 | TICAM1 | 6468 | 0.016 | 0.39 | NO |
45 | LY96 | LY96 | LY96 | 6513 | 0.015 | 0.39 | NO |
46 | TIRAP | TIRAP | TIRAP | 6525 | 0.015 | 0.39 | NO |
47 | PIK3CB | PIK3CB | PIK3CB | 6558 | 0.015 | 0.39 | NO |
48 | CD86 | CD86 | CD86 | 6616 | 0.014 | 0.39 | NO |
49 | RELA | RELA | RELA | 6691 | 0.012 | 0.38 | NO |
50 | MAPK9 | MAPK9 | MAPK9 | 6730 | 0.012 | 0.38 | NO |
51 | IKBKG | IKBKG | IKBKG | 7106 | 0.0066 | 0.36 | NO |
52 | RAC1 | RAC1 | RAC1 | 7174 | 0.0058 | 0.36 | NO |
53 | PIK3R1 | PIK3R1 | PIK3R1 | 7176 | 0.0058 | 0.36 | NO |
54 | MAPK3 | MAPK3 | MAPK3 | 7202 | 0.0055 | 0.36 | NO |
55 | TNF | TNF | TNF | 7433 | 0.0023 | 0.35 | NO |
56 | MAPK1 | MAPK1 | MAPK1 | 7463 | 0.002 | 0.34 | NO |
57 | MAP2K1 | MAP2K1 | MAP2K1 | 7506 | 0.0013 | 0.34 | NO |
58 | MAP2K3 | MAP2K3 | MAP2K3 | 7616 | -0.00012 | 0.34 | NO |
59 | AKT2 | AKT2 | AKT2 | 7663 | -0.0008 | 0.33 | NO |
60 | MAPK12 | MAPK12 | MAPK12 | 7946 | -0.0047 | 0.32 | NO |
61 | MAP2K6 | MAP2K6 | MAP2K6 | 7993 | -0.0056 | 0.32 | NO |
62 | NFKBIA | NFKBIA | NFKBIA | 8172 | -0.0078 | 0.31 | NO |
63 | TAB2 | TAB2 | TAB2 | 8282 | -0.0093 | 0.3 | NO |
64 | MAP2K4 | MAP2K4 | MAP2K4 | 8889 | -0.018 | 0.27 | NO |
65 | TOLLIP | TOLLIP | TOLLIP | 9017 | -0.019 | 0.26 | NO |
66 | IL12A | IL12A | IL12A | 9080 | -0.02 | 0.26 | NO |
67 | IRAK4 | IRAK4 | IRAK4 | 9199 | -0.022 | 0.26 | NO |
68 | CXCL9 | CXCL9 | CXCL9 | 9450 | -0.026 | 0.25 | NO |
69 | PIK3R2 | PIK3R2 | PIK3R2 | 9652 | -0.028 | 0.24 | NO |
70 | IRF5 | IRF5 | IRF5 | 10235 | -0.038 | 0.21 | NO |
71 | MAP2K2 | MAP2K2 | MAP2K2 | 10917 | -0.05 | 0.18 | NO |
72 | TRAF3 | TRAF3 | TRAF3 | 10947 | -0.05 | 0.18 | NO |
73 | PIK3CD | PIK3CD | PIK3CD | 10951 | -0.05 | 0.19 | NO |
74 | IRF3 | IRF3 | IRF3 | 10953 | -0.05 | 0.19 | NO |
75 | TAB1 | TAB1 | TAB1 | 11256 | -0.056 | 0.18 | NO |
76 | TRAF6 | TRAF6 | TRAF6 | 11431 | -0.059 | 0.18 | NO |
77 | IKBKE | IKBKE | IKBKE | 11572 | -0.062 | 0.18 | NO |
78 | PIK3R5 | PIK3R5 | PIK3R5 | 11719 | -0.065 | 0.18 | NO |
79 | MAP2K7 | MAP2K7 | MAP2K7 | 11806 | -0.067 | 0.18 | NO |
80 | CASP8 | CASP8 | CASP8 | 11809 | -0.067 | 0.19 | NO |
81 | TLR5 | TLR5 | TLR5 | 12282 | -0.079 | 0.17 | NO |
82 | IKBKB | IKBKB | IKBKB | 12515 | -0.085 | 0.17 | NO |
83 | IRF7 | IRF7 | IRF7 | 12535 | -0.085 | 0.18 | NO |
84 | PIK3R3 | PIK3R3 | PIK3R3 | 12626 | -0.087 | 0.18 | NO |
85 | TLR6 | TLR6 | TLR6 | 13200 | -0.1 | 0.16 | NO |
86 | LBP | LBP | LBP | 14526 | -0.16 | 0.1 | NO |
87 | IL12B | IL12B | IL12B | 14572 | -0.16 | 0.12 | NO |
88 | TLR7 | TLR7 | TLR7 | 15249 | -0.21 | 0.11 | NO |
89 | TLR9 | TLR9 | TLR9 | 15499 | -0.23 | 0.12 | NO |
Figure S13. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG PYRIMIDINE METABOLISM.

Figure S14. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG PYRIMIDINE METABOLISM, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S8. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | SMC1B | SMC1B | SMC1B | 1232 | 0.22 | -0.046 | YES |
2 | GADD45G | GADD45G | GADD45G | 1249 | 0.22 | -0.022 | YES |
3 | SFN | SFN | SFN | 1281 | 0.22 | 0.00018 | YES |
4 | TGFB3 | TGFB3 | TGFB3 | 1477 | 0.2 | 0.011 | YES |
5 | E2F2 | E2F2 | E2F2 | 1492 | 0.2 | 0.032 | YES |
6 | MAD2L1 | MAD2L1 | MAD2L1 | 1660 | 0.18 | 0.042 | YES |
7 | ESPL1 | ESPL1 | ESPL1 | 1678 | 0.18 | 0.062 | YES |
8 | CCNA2 | CCNA2 | CCNA2 | 1736 | 0.18 | 0.078 | YES |
9 | CDKN1A | CDKN1A | CDKN1A | 1748 | 0.18 | 0.096 | YES |
10 | CCNE2 | CCNE2 | CCNE2 | 1787 | 0.17 | 0.11 | YES |
11 | BUB1B | BUB1B | BUB1B | 1907 | 0.16 | 0.12 | YES |
12 | CDK2 | CDK2 | CDK2 | 1960 | 0.16 | 0.14 | YES |
13 | PLK1 | PLK1 | PLK1 | 2022 | 0.16 | 0.15 | YES |
14 | PKMYT1 | PKMYT1 | PKMYT1 | 2124 | 0.15 | 0.16 | YES |
15 | CDC45 | CDC45 | CDC45 | 2198 | 0.14 | 0.18 | YES |
16 | CHEK1 | CHEK1 | CHEK1 | 2200 | 0.14 | 0.19 | YES |
17 | CDK1 | CDK1 | CDK1 | 2207 | 0.14 | 0.21 | YES |
18 | ORC1L | ORC1L | ORC1L | 2208 | 0.14 | 0.22 | YES |
19 | E2F1 | E2F1 | E2F1 | 2213 | 0.14 | 0.24 | YES |
20 | RBL1 | RBL1 | RBL1 | 2218 | 0.14 | 0.25 | YES |
21 | CDC25C | CDC25C | CDC25C | 2244 | 0.14 | 0.27 | YES |
22 | CCNB2 | CCNB2 | CCNB2 | 2443 | 0.13 | 0.27 | YES |
23 | CDC14B | CDC14B | CDC14B | 2728 | 0.12 | 0.26 | YES |
24 | MCM4 | MCM4 | MCM4 | 2739 | 0.11 | 0.28 | YES |
25 | CCNE1 | CCNE1 | CCNE1 | 2764 | 0.11 | 0.29 | YES |
26 | PTTG2 | PTTG2 | PTTG2 | 2886 | 0.11 | 0.29 | YES |
27 | SKP2 | SKP2 | SKP2 | 2977 | 0.1 | 0.3 | YES |
28 | CCNB1 | CCNB1 | CCNB1 | 2983 | 0.1 | 0.31 | YES |
29 | CDC6 | CDC6 | CDC6 | 3018 | 0.1 | 0.32 | YES |
30 | BUB1 | BUB1 | BUB1 | 3021 | 0.1 | 0.33 | YES |
31 | CDKN2D | CDKN2D | CDKN2D | 3093 | 0.098 | 0.34 | YES |
32 | CDK6 | CDK6 | CDK6 | 3150 | 0.096 | 0.34 | YES |
33 | STAG1 | STAG1 | STAG1 | 3212 | 0.093 | 0.35 | YES |
34 | CDC25A | CDC25A | CDC25A | 3277 | 0.091 | 0.36 | YES |
35 | TGFB2 | TGFB2 | TGFB2 | 3294 | 0.09 | 0.37 | YES |
36 | YWHAH | YWHAH | YWHAH | 3691 | 0.076 | 0.35 | YES |
37 | MCM6 | MCM6 | MCM6 | 3739 | 0.074 | 0.36 | YES |
38 | TTK | TTK | TTK | 3794 | 0.073 | 0.36 | YES |
39 | MCM3 | MCM3 | MCM3 | 3921 | 0.069 | 0.36 | YES |
40 | PTTG1 | PTTG1 | PTTG1 | 3973 | 0.068 | 0.37 | YES |
41 | CDC20 | CDC20 | CDC20 | 3999 | 0.067 | 0.38 | YES |
42 | PCNA | PCNA | PCNA | 4004 | 0.067 | 0.38 | YES |
43 | ANAPC10 | ANAPC10 | ANAPC10 | 4038 | 0.066 | 0.39 | YES |
44 | CCNA1 | CCNA1 | CCNA1 | 4046 | 0.065 | 0.39 | YES |
45 | GADD45A | GADD45A | GADD45A | 4054 | 0.065 | 0.4 | YES |
46 | CCND1 | CCND1 | CCND1 | 4113 | 0.064 | 0.4 | YES |
47 | CDC14A | CDC14A | CDC14A | 4184 | 0.062 | 0.41 | YES |
48 | CDK4 | CDK4 | CDK4 | 4324 | 0.057 | 0.41 | YES |
49 | YWHAQ | YWHAQ | YWHAQ | 4423 | 0.054 | 0.41 | YES |
50 | TFDP2 | TFDP2 | TFDP2 | 4455 | 0.054 | 0.41 | YES |
51 | MCM7 | MCM7 | MCM7 | 4568 | 0.051 | 0.41 | YES |
52 | SMC3 | SMC3 | SMC3 | 4738 | 0.047 | 0.4 | YES |
53 | YWHAG | YWHAG | YWHAG | 4796 | 0.046 | 0.41 | YES |
54 | MCM2 | MCM2 | MCM2 | 4806 | 0.046 | 0.41 | YES |
55 | GSK3B | GSK3B | GSK3B | 4858 | 0.045 | 0.41 | YES |
56 | RAD21 | RAD21 | RAD21 | 5033 | 0.041 | 0.41 | YES |
57 | ORC6L | ORC6L | ORC6L | 5065 | 0.04 | 0.41 | YES |
58 | HDAC1 | HDAC1 | HDAC1 | 5151 | 0.038 | 0.41 | YES |
59 | PRKDC | PRKDC | PRKDC | 5203 | 0.037 | 0.41 | YES |
60 | MAD2L2 | MAD2L2 | MAD2L2 | 5204 | 0.037 | 0.42 | YES |
61 | SMC1A | SMC1A | SMC1A | 5262 | 0.036 | 0.42 | YES |
62 | CDKN2C | CDKN2C | CDKN2C | 5306 | 0.035 | 0.42 | YES |
63 | CDC26 | CDC26 | CDC26 | 5449 | 0.033 | 0.41 | NO |
64 | ABL1 | ABL1 | ABL1 | 5506 | 0.032 | 0.41 | NO |
65 | CDC25B | CDC25B | CDC25B | 5584 | 0.03 | 0.41 | NO |
66 | CDC27 | CDC27 | CDC27 | 5769 | 0.027 | 0.4 | NO |
67 | CDK7 | CDK7 | CDK7 | 6038 | 0.022 | 0.39 | NO |
68 | SKP1 | SKP1 | SKP1 | 6045 | 0.022 | 0.39 | NO |
69 | ANAPC1 | ANAPC1 | ANAPC1 | 6098 | 0.022 | 0.39 | NO |
70 | ORC4L | ORC4L | ORC4L | 6121 | 0.021 | 0.39 | NO |
71 | ORC2L | ORC2L | ORC2L | 6203 | 0.02 | 0.39 | NO |
72 | CUL1 | CUL1 | CUL1 | 6267 | 0.019 | 0.39 | NO |
73 | ANAPC5 | ANAPC5 | ANAPC5 | 6311 | 0.018 | 0.39 | NO |
74 | CDC23 | CDC23 | CDC23 | 6523 | 0.015 | 0.38 | NO |
75 | HDAC2 | HDAC2 | HDAC2 | 6686 | 0.013 | 0.37 | NO |
76 | YWHAB | YWHAB | YWHAB | 6915 | 0.0095 | 0.36 | NO |
77 | ATR | ATR | ATR | 7209 | 0.0054 | 0.34 | NO |
78 | YWHAE | YWHAE | YWHAE | 7212 | 0.0053 | 0.34 | NO |
79 | BUB3 | BUB3 | BUB3 | 7451 | 0.0021 | 0.33 | NO |
80 | TGFB1 | TGFB1 | TGFB1 | 7493 | 0.0015 | 0.33 | NO |
81 | MCM5 | MCM5 | MCM5 | 7501 | 0.0014 | 0.33 | NO |
82 | E2F4 | E2F4 | E2F4 | 7530 | 0.00093 | 0.33 | NO |
83 | SMAD2 | SMAD2 | SMAD2 | 7556 | 0.00065 | 0.32 | NO |
84 | E2F3 | E2F3 | E2F3 | 7849 | -0.0032 | 0.31 | NO |
85 | WEE2 | WEE2 | WEE2 | 7874 | -0.0036 | 0.31 | NO |
86 | WEE1 | WEE1 | WEE1 | 7999 | -0.0057 | 0.3 | NO |
87 | RBX1 | RBX1 | RBX1 | 8066 | -0.0064 | 0.3 | NO |
88 | ANAPC7 | ANAPC7 | ANAPC7 | 8071 | -0.0065 | 0.3 | NO |
89 | ORC5L | ORC5L | ORC5L | 8174 | -0.0079 | 0.29 | NO |
90 | YWHAZ | YWHAZ | YWHAZ | 8292 | -0.0094 | 0.29 | NO |
91 | ANAPC2 | ANAPC2 | ANAPC2 | 8635 | -0.014 | 0.27 | NO |
92 | FZR1 | FZR1 | FZR1 | 8710 | -0.015 | 0.27 | NO |
93 | GADD45B | GADD45B | GADD45B | 8712 | -0.015 | 0.27 | NO |
94 | RB1 | RB1 | RB1 | 8866 | -0.017 | 0.26 | NO |
95 | CDKN2A | CDKN2A | CDKN2A | 8899 | -0.018 | 0.26 | NO |
96 | ANAPC13 | ANAPC13 | ANAPC13 | 9022 | -0.02 | 0.26 | NO |
97 | EP300 | EP300 | EP300 | 9095 | -0.021 | 0.26 | NO |
98 | STAG2 | STAG2 | STAG2 | 9253 | -0.023 | 0.25 | NO |
99 | CCNH | CCNH | CCNH | 9380 | -0.025 | 0.24 | NO |
100 | ANAPC4 | ANAPC4 | ANAPC4 | 9566 | -0.027 | 0.24 | NO |
101 | CCND3 | CCND3 | CCND3 | 9658 | -0.028 | 0.24 | NO |
102 | TFDP1 | TFDP1 | TFDP1 | 9772 | -0.03 | 0.23 | NO |
103 | MYC | MYC | MYC | 9799 | -0.031 | 0.23 | NO |
104 | ANAPC11 | ANAPC11 | ANAPC11 | 10115 | -0.036 | 0.22 | NO |
105 | TP53 | TP53 | TP53 | 10271 | -0.038 | 0.22 | NO |
106 | CDKN2B | CDKN2B | CDKN2B | 10315 | -0.039 | 0.22 | NO |
107 | MDM2 | MDM2 | MDM2 | 10472 | -0.041 | 0.21 | NO |
108 | CHEK2 | CHEK2 | CHEK2 | 10695 | -0.045 | 0.2 | NO |
109 | ZBTB17 | ZBTB17 | ZBTB17 | 10709 | -0.046 | 0.21 | NO |
110 | SMAD4 | SMAD4 | SMAD4 | 10784 | -0.047 | 0.21 | NO |
111 | MAD1L1 | MAD1L1 | MAD1L1 | 10889 | -0.049 | 0.21 | NO |
112 | CDC7 | CDC7 | CDC7 | 11060 | -0.052 | 0.2 | NO |
113 | CDKN1B | CDKN1B | CDKN1B | 12090 | -0.074 | 0.16 | NO |
114 | CCNB3 | CCNB3 | CCNB3 | 12384 | -0.081 | 0.15 | NO |
115 | RBL2 | RBL2 | RBL2 | 12520 | -0.085 | 0.15 | NO |
116 | E2F5 | E2F5 | E2F5 | 12526 | -0.085 | 0.16 | NO |
117 | ATM | ATM | ATM | 12612 | -0.087 | 0.16 | NO |
118 | CREBBP | CREBBP | CREBBP | 12832 | -0.092 | 0.16 | NO |
119 | ORC3L | ORC3L | ORC3L | 13028 | -0.098 | 0.16 | NO |
120 | CDC16 | CDC16 | CDC16 | 13341 | -0.11 | 0.15 | NO |
121 | SMAD3 | SMAD3 | SMAD3 | 14908 | -0.18 | 0.084 | NO |
122 | CDKN1C | CDKN1C | CDKN1C | 16234 | -0.3 | 0.041 | NO |
123 | CCND2 | CCND2 | CCND2 | 16362 | -0.32 | 0.069 | NO |
Figure S15. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG LYSINE DEGRADATION.

Figure S16. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG LYSINE DEGRADATION, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S9. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | ENTPD3 | ENTPD3 | ENTPD3 | 90 | 0.58 | 0.067 | YES |
2 | CDA | CDA | CDA | 210 | 0.48 | 0.12 | YES |
3 | CMPK2 | CMPK2 | CMPK2 | 911 | 0.27 | 0.11 | YES |
4 | NT5E | NT5E | NT5E | 1086 | 0.24 | 0.13 | YES |
5 | DPYD | DPYD | DPYD | 1242 | 0.22 | 0.15 | YES |
6 | TYMP | TYMP | TYMP | 1530 | 0.19 | 0.16 | YES |
7 | NT5C1A | NT5C1A | NT5C1A | 1535 | 0.19 | 0.18 | YES |
8 | UCK2 | UCK2 | UCK2 | 1778 | 0.17 | 0.19 | YES |
9 | NME5 | NME5 | NME5 | 1859 | 0.17 | 0.2 | YES |
10 | UPP1 | UPP1 | UPP1 | 2066 | 0.15 | 0.21 | YES |
11 | POLE2 | POLE2 | POLE2 | 2093 | 0.15 | 0.23 | YES |
12 | TYMS | TYMS | TYMS | 2311 | 0.14 | 0.23 | YES |
13 | PRIM1 | PRIM1 | PRIM1 | 2329 | 0.14 | 0.25 | YES |
14 | NME6 | NME6 | NME6 | 2534 | 0.12 | 0.25 | YES |
15 | POLA1 | POLA1 | POLA1 | 2568 | 0.12 | 0.26 | YES |
16 | POLD3 | POLD3 | POLD3 | 2594 | 0.12 | 0.28 | YES |
17 | TXNRD1 | TXNRD1 | TXNRD1 | 2666 | 0.12 | 0.29 | YES |
18 | PNP | PNP | PNP | 2705 | 0.12 | 0.3 | YES |
19 | POLR3D | POLR3D | POLR3D | 2861 | 0.11 | 0.3 | YES |
20 | RRM2 | RRM2 | RRM2 | 2893 | 0.11 | 0.32 | YES |
21 | POLA2 | POLA2 | POLA2 | 2949 | 0.1 | 0.32 | YES |
22 | ENTPD4 | ENTPD4 | ENTPD4 | 3130 | 0.097 | 0.33 | YES |
23 | DPYS | DPYS | DPYS | 3235 | 0.092 | 0.33 | YES |
24 | NT5C1B | NT5C1B | NT5C1B | 3433 | 0.084 | 0.33 | YES |
25 | RRM1 | RRM1 | RRM1 | 3478 | 0.083 | 0.34 | YES |
26 | POLD1 | POLD1 | POLD1 | 3530 | 0.081 | 0.34 | YES |
27 | NME7 | NME7 | NME7 | 3750 | 0.074 | 0.34 | YES |
28 | TK1 | TK1 | TK1 | 3776 | 0.073 | 0.35 | YES |
29 | PRIM2 | PRIM2 | PRIM2 | 3912 | 0.069 | 0.35 | YES |
30 | NME1-NME2 | NME1-NME2 | NME1-NME2 | 4221 | 0.06 | 0.34 | NO |
31 | POLR3A | POLR3A | POLR3A | 4272 | 0.059 | 0.34 | NO |
32 | PNPT1 | PNPT1 | PNPT1 | 4385 | 0.055 | 0.34 | NO |
33 | DTYMK | DTYMK | DTYMK | 4660 | 0.049 | 0.33 | NO |
34 | DCK | DCK | DCK | 4692 | 0.048 | 0.34 | NO |
35 | POLR2B | POLR2B | POLR2B | 4741 | 0.047 | 0.34 | NO |
36 | POLR3K | POLR3K | POLR3K | 4903 | 0.044 | 0.34 | NO |
37 | TK2 | TK2 | TK2 | 4984 | 0.042 | 0.34 | NO |
38 | CTPS2 | CTPS2 | CTPS2 | 5075 | 0.04 | 0.34 | NO |
39 | RRM2B | RRM2B | RRM2B | 5410 | 0.034 | 0.32 | NO |
40 | DUT | DUT | DUT | 5486 | 0.032 | 0.32 | NO |
41 | POLE | POLE | POLE | 5570 | 0.031 | 0.32 | NO |
42 | POLR1A | POLR1A | POLR1A | 5592 | 0.03 | 0.32 | NO |
43 | POLD4 | POLD4 | POLD4 | 5594 | 0.03 | 0.33 | NO |
44 | CANT1 | CANT1 | CANT1 | 5644 | 0.029 | 0.33 | NO |
45 | POLR2G | POLR2G | POLR2G | 5832 | 0.026 | 0.32 | NO |
46 | POLR3F | POLR3F | POLR3F | 5861 | 0.025 | 0.32 | NO |
47 | UPRT | UPRT | UPRT | 5880 | 0.025 | 0.32 | NO |
48 | ENTPD5 | ENTPD5 | ENTPD5 | 6039 | 0.022 | 0.32 | NO |
49 | NME1 | NME1 | NME1 | 6048 | 0.022 | 0.32 | NO |
50 | POLR2D | POLR2D | POLR2D | 6271 | 0.019 | 0.31 | NO |
51 | POLR2L | POLR2L | POLR2L | 6695 | 0.012 | 0.29 | NO |
52 | ENTPD1 | ENTPD1 | ENTPD1 | 6696 | 0.012 | 0.29 | NO |
53 | POLR3H | POLR3H | POLR3H | 7184 | 0.0058 | 0.26 | NO |
54 | POLR2K | POLR2K | POLR2K | 7213 | 0.0053 | 0.26 | NO |
55 | POLR3B | POLR3B | POLR3B | 7220 | 0.0052 | 0.26 | NO |
56 | POLD2 | POLD2 | POLD2 | 7301 | 0.004 | 0.26 | NO |
57 | POLR2H | POLR2H | POLR2H | 7373 | 0.0031 | 0.25 | NO |
58 | POLE3 | POLE3 | POLE3 | 7511 | 0.0012 | 0.25 | NO |
59 | UCKL1 | UCKL1 | UCKL1 | 7546 | 0.00078 | 0.24 | NO |
60 | ITPA | ITPA | ITPA | 7581 | 0.00034 | 0.24 | NO |
61 | UMPS | UMPS | UMPS | 7686 | -0.0012 | 0.24 | NO |
62 | CAD | CAD | CAD | 8300 | -0.0096 | 0.2 | NO |
63 | POLR1E | POLR1E | POLR1E | 8317 | -0.0098 | 0.2 | NO |
64 | DHODH | DHODH | DHODH | 8429 | -0.011 | 0.2 | NO |
65 | ENTPD6 | ENTPD6 | ENTPD6 | 8518 | -0.012 | 0.19 | NO |
66 | POLR3C | POLR3C | POLR3C | 8539 | -0.013 | 0.19 | NO |
67 | POLR1C | POLR1C | POLR1C | 8560 | -0.013 | 0.2 | NO |
68 | CMPK1 | CMPK1 | CMPK1 | 8652 | -0.014 | 0.19 | NO |
69 | NUDT2 | NUDT2 | NUDT2 | 8805 | -0.016 | 0.18 | NO |
70 | AK3 | AK3 | AK3 | 8868 | -0.017 | 0.18 | NO |
71 | POLR2F | POLR2F | POLR2F | 9144 | -0.022 | 0.17 | NO |
72 | NME2 | NME2 | NME2 | 9254 | -0.023 | 0.17 | NO |
73 | TXNRD2 | TXNRD2 | TXNRD2 | 9273 | -0.023 | 0.17 | NO |
74 | POLE4 | POLE4 | POLE4 | 9381 | -0.025 | 0.16 | NO |
75 | POLR2E | POLR2E | POLR2E | 9499 | -0.026 | 0.16 | NO |
76 | DCTD | DCTD | DCTD | 9542 | -0.027 | 0.16 | NO |
77 | POLR2C | POLR2C | POLR2C | 9565 | -0.027 | 0.16 | NO |
78 | UPB1 | UPB1 | UPB1 | 9918 | -0.033 | 0.15 | NO |
79 | NT5C2 | NT5C2 | NT5C2 | 9957 | -0.033 | 0.15 | NO |
80 | POLR3G | POLR3G | POLR3G | 10002 | -0.034 | 0.15 | NO |
81 | ZNRD1 | ZNRD1 | ZNRD1 | 10043 | -0.034 | 0.15 | NO |
82 | POLR2J | POLR2J | POLR2J | 10153 | -0.036 | 0.15 | NO |
83 | UCK1 | UCK1 | UCK1 | 10166 | -0.036 | 0.16 | NO |
84 | POLR2A | POLR2A | POLR2A | 10375 | -0.04 | 0.15 | NO |
85 | POLR2I | POLR2I | POLR2I | 10892 | -0.049 | 0.13 | NO |
86 | NT5C3 | NT5C3 | NT5C3 | 10908 | -0.049 | 0.13 | NO |
87 | NT5C | NT5C | NT5C | 11196 | -0.054 | 0.12 | NO |
88 | POLR1D | POLR1D | POLR1D | 11265 | -0.056 | 0.12 | NO |
89 | POLR1B | POLR1B | POLR1B | 12103 | -0.075 | 0.085 | NO |
90 | POLR3GL | POLR3GL | POLR3GL | 12119 | -0.075 | 0.094 | NO |
91 | NME3 | NME3 | NME3 | 14028 | -0.14 | 0.00086 | NO |
92 | ENTPD8 | ENTPD8 | ENTPD8 | 14405 | -0.15 | -0.0018 | NO |
93 | NME4 | NME4 | NME4 | 14614 | -0.17 | 0.0066 | NO |
94 | POLR2J3 | POLR2J3 | POLR2J3 | 15314 | -0.21 | -0.0074 | NO |
95 | UPP2 | UPP2 | UPP2 | 16120 | -0.29 | -0.018 | NO |
96 | POLR2J2 | POLR2J2 | POLR2J2 | 16794 | -0.39 | -0.0095 | NO |
97 | NT5M | NT5M | NT5M | 17006 | -0.44 | 0.032 | NO |
Figure S17. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG AMINO SUGAR AND NUCLEOTIDE SUGAR METABOLISM.

Figure S18. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG AMINO SUGAR AND NUCLEOTIDE SUGAR METABOLISM, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S10. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | CDKN1A | CDKN1A | CDKN1A | 1748 | 0.18 | 0.049 | YES |
2 | CDK2 | CDK2 | CDK2 | 1960 | 0.16 | 0.17 | YES |
3 | CCNE1 | CCNE1 | CCNE1 | 2764 | 0.11 | 0.22 | YES |
4 | CHUK | CHUK | CHUK | 3001 | 0.1 | 0.3 | YES |
5 | CDK6 | CDK6 | CDK6 | 3150 | 0.096 | 0.37 | YES |
6 | CCND1 | CCND1 | CCND1 | 4113 | 0.064 | 0.37 | YES |
7 | CDK4 | CDK4 | CDK4 | 4324 | 0.057 | 0.4 | YES |
8 | NFKB1 | NFKB1 | NFKB1 | 5452 | 0.033 | 0.37 | YES |
9 | AKT1 | AKT1 | AKT1 | 5625 | 0.03 | 0.38 | YES |
10 | PAK1 | PAK1 | PAK1 | 5777 | 0.027 | 0.4 | YES |
11 | PIK3CA | PIK3CA | PIK3CA | 5953 | 0.024 | 0.41 | YES |
12 | RAF1 | RAF1 | RAF1 | 6027 | 0.023 | 0.42 | YES |
13 | RHOA | RHOA | RHOA | 6276 | 0.019 | 0.42 | YES |
14 | RELA | RELA | RELA | 6691 | 0.012 | 0.41 | NO |
15 | IKBKG | IKBKG | IKBKG | 7106 | 0.0066 | 0.39 | NO |
16 | RAC1 | RAC1 | RAC1 | 7174 | 0.0058 | 0.4 | NO |
17 | PIK3R1 | PIK3R1 | PIK3R1 | 7176 | 0.0058 | 0.4 | NO |
18 | MAPK3 | MAPK3 | MAPK3 | 7202 | 0.0055 | 0.4 | NO |
19 | MAPK1 | MAPK1 | MAPK1 | 7463 | 0.002 | 0.39 | NO |
20 | HRAS | HRAS | HRAS | 7916 | -0.0042 | 0.37 | NO |
21 | NFKBIA | NFKBIA | NFKBIA | 8172 | -0.0078 | 0.36 | NO |
22 | RB1 | RB1 | RB1 | 8866 | -0.017 | 0.34 | NO |
23 | TFDP1 | TFDP1 | TFDP1 | 9772 | -0.03 | 0.31 | NO |
24 | CDKN1B | CDKN1B | CDKN1B | 12090 | -0.074 | 0.24 | NO |
25 | IKBKB | IKBKB | IKBKB | 12515 | -0.085 | 0.29 | NO |
Figure S19. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG PYRUVATE METABOLISM.

Figure S20. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG PYRUVATE METABOLISM, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

For the top enriched genes, if you want to check whether they are
-
up-regulated, please check the list of up-regulated genes
-
down-regulated, please check the list of down-regulated genes
For the top enriched genes, if you want to check whether they are
-
highly expressed genes, please check the list of high (top 30%) expressed genes
-
low expressed genes, please check the list of low (bottom 30%) expressed genes
An expression pattern of top(30%)/middle(30%)/low(30%) in this subtype against other subtypes is available in a heatmap
For the top enriched genes, if you want to check whether they are
-
significantly differently expressed genes by eBayes lm fit, please check the list of significant genes
Table 4. Get Full Table This table shows top 10 pathways which are significantly enriched in cluster clus2. It displays only significant gene sets satisfying nom.p.val.threshold (-1), fwer.p.val.threshold (-1) , fdr.q.val.threshold (0.25) and the default table is sorted by Normalized Enrichment Score (NES). Further details on NES statistics, please visit The Broad GSEA website.
GeneSet(GS) | Size(#genes) | genes.ES.table | ES | NES | NOM.p.val | FDR.q.val | FWER.p.val | Tag.. | Gene.. | Signal | FDR..median. | glob.p.val |
---|---|---|---|---|---|---|---|---|---|---|---|---|
BIOCARTA ALK PATHWAY | 34 | genes.ES.table | 0.46 | 1.3 | 0.1 | 1 | 0.98 | 0.26 | 0.13 | 0.23 | 0.97 | 0.49 |
BIOCARTA CARM ER PATHWAY | 33 | genes.ES.table | 0.35 | 1.3 | 0.18 | 1 | 0.99 | 0.27 | 0.28 | 0.2 | 0.97 | 0.48 |
BIOCARTA GH PATHWAY | 26 | genes.ES.table | 0.55 | 1.7 | 0.006 | 0.98 | 0.43 | 0.38 | 0.29 | 0.27 | 0 | 0.3 |
BIOCARTA TCR PATHWAY | 43 | genes.ES.table | 0.37 | 1.2 | 0.22 | 0.95 | 1 | 0.35 | 0.26 | 0.26 | 0.88 | 0.41 |
KEGG FATTY ACID METABOLISM | 35 | genes.ES.table | 0.37 | 1.3 | 0.21 | 0.95 | 0.99 | 0.086 | 0.086 | 0.078 | 0.88 | 0.41 |
KEGG ABC TRANSPORTERS | 41 | genes.ES.table | 0.56 | 1.5 | 0.011 | 1 | 0.78 | 0.46 | 0.24 | 0.35 | 1 | 0.55 |
KEGG CARDIAC MUSCLE CONTRACTION | 63 | genes.ES.table | 0.43 | 1.4 | 0.051 | 1 | 0.96 | 0.22 | 0.13 | 0.19 | 0.99 | 0.49 |
KEGG WNT SIGNALING PATHWAY | 140 | genes.ES.table | 0.39 | 1.3 | 0.098 | 1 | 0.98 | 0.21 | 0.15 | 0.18 | 1 | 0.51 |
KEGG CELL ADHESION MOLECULES CAMS | 126 | genes.ES.table | 0.43 | 1.3 | 0.17 | 0.99 | 0.99 | 0.33 | 0.18 | 0.28 | 0.91 | 0.42 |
KEGG INTESTINAL IMMUNE NETWORK FOR IGA PRODUCTION | 44 | genes.ES.table | 0.45 | 1.3 | 0.16 | 1 | 0.99 | 0.3 | 0.15 | 0.25 | 1 | 0.5 |
Table S11. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | HNF1A | HNF1A | HNF1A | 1660 | 0.26 | 0.036 | YES |
2 | PRKCA | PRKCA | PRKCA | 1756 | 0.25 | 0.16 | YES |
3 | PRKCB | PRKCB | PRKCB | 1791 | 0.25 | 0.28 | YES |
4 | GH1 | GH1 | GH1 | 1977 | 0.23 | 0.38 | YES |
5 | IRS1 | IRS1 | IRS1 | 2476 | 0.2 | 0.45 | YES |
6 | PLCG1 | PLCG1 | PLCG1 | 4157 | 0.11 | 0.41 | YES |
7 | SLC2A4 | SLC2A4 | SLC2A4 | 4292 | 0.1 | 0.45 | YES |
8 | PTPN6 | PTPN6 | PTPN6 | 4321 | 0.1 | 0.5 | YES |
9 | SOCS1 | SOCS1 | SOCS1 | 4399 | 0.1 | 0.55 | YES |
10 | SOS1 | SOS1 | SOS1 | 5097 | 0.083 | 0.55 | YES |
11 | SRF | SRF | SRF | 7990 | 0.028 | 0.4 | NO |
12 | STAT5B | STAT5B | STAT5B | 8460 | 0.021 | 0.38 | NO |
13 | GHR | GHR | GHR | 9021 | 0.013 | 0.36 | NO |
14 | STAT5A | STAT5A | STAT5A | 9532 | 0.0061 | 0.33 | NO |
15 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.3 | NO |
16 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.3 | NO |
17 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.29 | NO |
18 | PIK3R1 | PIK3R1 | PIK3R1 | 10385 | -0.0058 | 0.29 | NO |
19 | JAK2 | JAK2 | JAK2 | 10896 | -0.013 | 0.27 | NO |
20 | SHC1 | SHC1 | SHC1 | 11438 | -0.021 | 0.25 | NO |
21 | RPS6KA1 | RPS6KA1 | RPS6KA1 | 11466 | -0.022 | 0.26 | NO |
22 | RAF1 | RAF1 | RAF1 | 11534 | -0.023 | 0.26 | NO |
23 | PIK3CA | PIK3CA | PIK3CA | 11608 | -0.024 | 0.27 | NO |
24 | GRB2 | GRB2 | GRB2 | 11623 | -0.024 | 0.28 | NO |
25 | INSR | INSR | INSR | 12451 | -0.039 | 0.26 | NO |
26 | PIK3CG | PIK3CG | PIK3CG | 13807 | -0.074 | 0.21 | NO |
Figure S21. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA ALK PATHWAY.

Figure S22. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA ALK PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S12. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | ABCA3 | ABCA3 | ABCA3 | 185 | 0.61 | 0.1 | YES |
2 | ABCC6 | ABCC6 | ABCC6 | 666 | 0.41 | 0.15 | YES |
3 | ABCG2 | ABCG2 | ABCG2 | 997 | 0.35 | 0.2 | YES |
4 | ABCB9 | ABCB9 | ABCB9 | 1171 | 0.32 | 0.25 | YES |
5 | ABCA10 | ABCA10 | ABCA10 | 1181 | 0.32 | 0.31 | YES |
6 | ABCA9 | ABCA9 | ABCA9 | 1436 | 0.29 | 0.35 | YES |
7 | ABCB11 | ABCB11 | ABCB11 | 2185 | 0.22 | 0.35 | YES |
8 | ABCA6 | ABCA6 | ABCA6 | 2242 | 0.21 | 0.38 | YES |
9 | ABCA2 | ABCA2 | ABCA2 | 2832 | 0.17 | 0.38 | YES |
10 | ABCC11 | ABCC11 | ABCC11 | 2960 | 0.17 | 0.4 | YES |
11 | ABCA4 | ABCA4 | ABCA4 | 2987 | 0.16 | 0.44 | YES |
12 | ABCG5 | ABCG5 | ABCG5 | 3274 | 0.15 | 0.45 | YES |
13 | ABCG1 | ABCG1 | ABCG1 | 3284 | 0.15 | 0.47 | YES |
14 | ABCB4 | ABCB4 | ABCB4 | 3304 | 0.15 | 0.5 | YES |
15 | ABCB1 | ABCB1 | ABCB1 | 3341 | 0.14 | 0.52 | YES |
16 | ABCC5 | ABCC5 | ABCC5 | 3500 | 0.14 | 0.54 | YES |
17 | ABCA7 | ABCA7 | ABCA7 | 3589 | 0.13 | 0.56 | YES |
18 | ABCC8 | ABCC8 | ABCC8 | 4048 | 0.11 | 0.56 | YES |
19 | ABCA5 | ABCA5 | ABCA5 | 4270 | 0.1 | 0.56 | YES |
20 | ABCC2 | ABCC2 | ABCC2 | 5162 | 0.081 | 0.53 | NO |
21 | ABCC3 | ABCC3 | ABCC3 | 5416 | 0.075 | 0.53 | NO |
22 | ABCB5 | ABCB5 | ABCB5 | 6165 | 0.059 | 0.5 | NO |
23 | ABCD1 | ABCD1 | ABCD1 | 6377 | 0.054 | 0.49 | NO |
24 | ABCC9 | ABCC9 | ABCC9 | 6683 | 0.049 | 0.49 | NO |
25 | ABCD4 | ABCD4 | ABCD4 | 7686 | 0.032 | 0.43 | NO |
26 | ABCC1 | ABCC1 | ABCC1 | 7956 | 0.028 | 0.42 | NO |
27 | ABCB10 | ABCB10 | ABCB10 | 8809 | 0.016 | 0.38 | NO |
28 | ABCA12 | ABCA12 | ABCA12 | 9508 | 0.0063 | 0.34 | NO |
29 | ABCC10 | ABCC10 | ABCC10 | 10972 | -0.014 | 0.26 | NO |
30 | ABCA1 | ABCA1 | ABCA1 | 11525 | -0.022 | 0.23 | NO |
31 | ABCB8 | ABCB8 | ABCB8 | 11694 | -0.025 | 0.23 | NO |
32 | ABCG4 | ABCG4 | ABCG4 | 11699 | -0.025 | 0.23 | NO |
33 | ABCB7 | ABCB7 | ABCB7 | 12074 | -0.032 | 0.22 | NO |
34 | TAP2 | TAP2 | TAP2 | 12142 | -0.033 | 0.22 | NO |
35 | ABCB6 | ABCB6 | ABCB6 | 12535 | -0.041 | 0.2 | NO |
36 | TAP1 | TAP1 | TAP1 | 13007 | -0.051 | 0.19 | NO |
37 | CFTR | CFTR | CFTR | 13290 | -0.059 | 0.18 | NO |
38 | ABCD2 | ABCD2 | ABCD2 | 13348 | -0.061 | 0.19 | NO |
39 | ABCD3 | ABCD3 | ABCD3 | 13777 | -0.073 | 0.18 | NO |
40 | ABCA13 | ABCA13 | ABCA13 | 13992 | -0.08 | 0.18 | NO |
41 | ABCC4 | ABCC4 | ABCC4 | 14882 | -0.12 | 0.15 | NO |
Figure S23. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA CARM ER PATHWAY.

Figure S24. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA CARM ER PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S13. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | CD40LG | CD40LG | CD40LG | 66 | 0.78 | 0.18 | YES |
2 | AIRE | AIRE | AIRE | 107 | 0.7 | 0.34 | YES |
3 | IGLL1 | IGLL1 | IGLL1 | 1497 | 0.28 | 0.33 | YES |
4 | ICOS | ICOS | ICOS | 1509 | 0.28 | 0.39 | YES |
5 | ZAP70 | ZAP70 | ZAP70 | 2098 | 0.22 | 0.41 | YES |
6 | CD3E | CD3E | CD3E | 2749 | 0.18 | 0.42 | YES |
7 | CD3D | CD3D | CD3D | 3001 | 0.16 | 0.44 | YES |
8 | LCK | LCK | LCK | 3078 | 0.16 | 0.48 | YES |
9 | RAG1 | RAG1 | RAG1 | 3347 | 0.14 | 0.49 | YES |
10 | CD79A | CD79A | CD79A | 3494 | 0.14 | 0.52 | YES |
11 | RFXAP | RFXAP | RFXAP | 3665 | 0.13 | 0.54 | YES |
12 | TNFRSF13C | TNFRSF13C | TNFRSF13C | 5240 | 0.08 | 0.47 | NO |
13 | CD19 | CD19 | CD19 | 5268 | 0.079 | 0.48 | NO |
14 | BTK | BTK | BTK | 6244 | 0.057 | 0.44 | NO |
15 | IL2RG | IL2RG | IL2RG | 6470 | 0.052 | 0.44 | NO |
16 | DCLRE1C | DCLRE1C | DCLRE1C | 6703 | 0.048 | 0.44 | NO |
17 | RFX5 | RFX5 | RFX5 | 7285 | 0.038 | 0.42 | NO |
18 | AICDA | AICDA | AICDA | 7498 | 0.035 | 0.41 | NO |
19 | BLNK | BLNK | BLNK | 8078 | 0.026 | 0.38 | NO |
20 | JAK3 | JAK3 | JAK3 | 8211 | 0.024 | 0.38 | NO |
21 | RFXANK | RFXANK | RFXANK | 8284 | 0.023 | 0.38 | NO |
22 | PTPRC | PTPRC | PTPRC | 9229 | 0.01 | 0.33 | NO |
23 | IKBKG | IKBKG | IKBKG | 10455 | -0.0066 | 0.26 | NO |
24 | CD4 | CD4 | CD4 | 10829 | -0.012 | 0.25 | NO |
25 | UNG | UNG | UNG | 11236 | -0.018 | 0.23 | NO |
26 | TNFRSF13B | TNFRSF13B | TNFRSF13B | 11652 | -0.024 | 0.21 | NO |
27 | TAP2 | TAP2 | TAP2 | 12142 | -0.033 | 0.19 | NO |
28 | CIITA | CIITA | CIITA | 12279 | -0.036 | 0.19 | NO |
29 | TAP1 | TAP1 | TAP1 | 13007 | -0.051 | 0.16 | NO |
30 | CD40 | CD40 | CD40 | 13628 | -0.068 | 0.14 | NO |
31 | CD8B | CD8B | CD8B | 14054 | -0.082 | 0.14 | NO |
32 | ADA | ADA | ADA | 14772 | -0.11 | 0.12 | NO |
33 | IL7R | IL7R | IL7R | 15616 | -0.16 | 0.11 | NO |
Figure S25. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA GH PATHWAY.

Figure S26. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA GH PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S14. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | CDH1 | CDH1 | CDH1 | 183 | 0.61 | 0.16 | YES |
2 | TCF7 | TCF7 | TCF7 | 389 | 0.49 | 0.3 | YES |
3 | RXRG | RXRG | RXRG | 740 | 0.39 | 0.39 | YES |
4 | RET | RET | RET | 782 | 0.38 | 0.5 | YES |
5 | TCF7L1 | TCF7L1 | TCF7L1 | 1795 | 0.25 | 0.51 | YES |
6 | LEF1 | LEF1 | LEF1 | 2274 | 0.21 | 0.55 | YES |
7 | TCF7L2 | TCF7L2 | TCF7L2 | 5527 | 0.073 | 0.38 | NO |
8 | NTRK1 | NTRK1 | NTRK1 | 5630 | 0.07 | 0.4 | NO |
9 | RXRB | RXRB | RXRB | 5702 | 0.069 | 0.41 | NO |
10 | MAP2K2 | MAP2K2 | MAP2K2 | 6644 | 0.05 | 0.37 | NO |
11 | TP53 | TP53 | TP53 | 7290 | 0.038 | 0.34 | NO |
12 | CCDC6 | CCDC6 | CCDC6 | 7388 | 0.037 | 0.35 | NO |
13 | MYC | MYC | MYC | 7762 | 0.031 | 0.34 | NO |
14 | RXRA | RXRA | RXRA | 9146 | 0.011 | 0.26 | NO |
15 | TPR | TPR | TPR | 9547 | 0.0059 | 0.24 | NO |
16 | TFG | TFG | TFG | 9728 | 0.003 | 0.23 | NO |
17 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.21 | NO |
18 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.21 | NO |
19 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.2 | NO |
20 | TPM3 | TPM3 | TPM3 | 10925 | -0.014 | 0.17 | NO |
21 | KRAS | KRAS | KRAS | 11611 | -0.024 | 0.14 | NO |
22 | CTNNB1 | CTNNB1 | CTNNB1 | 12534 | -0.041 | 0.097 | NO |
23 | NCOA4 | NCOA4 | NCOA4 | 12594 | -0.042 | 0.11 | NO |
24 | CCND1 | CCND1 | CCND1 | 13448 | -0.064 | 0.076 | NO |
25 | NRAS | NRAS | NRAS | 13630 | -0.068 | 0.085 | NO |
26 | BRAF | BRAF | BRAF | 14910 | -0.12 | 0.046 | NO |
27 | PAX8 | PAX8 | PAX8 | 14987 | -0.12 | 0.077 | NO |
28 | PPARG | PPARG | PPARG | 16456 | -0.24 | 0.063 | NO |
Figure S27. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: BIOCARTA TCR PATHWAY.

Figure S28. Get High-res Image For the top 5 core enriched genes in the pathway: BIOCARTA TCR PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S15. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | CDH1 | CDH1 | CDH1 | 183 | 0.61 | 0.12 | YES |
2 | TCF7 | TCF7 | TCF7 | 389 | 0.49 | 0.22 | YES |
3 | CTNNA3 | CTNNA3 | CTNNA3 | 1569 | 0.27 | 0.21 | YES |
4 | EGFR | EGFR | EGFR | 1574 | 0.27 | 0.27 | YES |
5 | AXIN2 | AXIN2 | AXIN2 | 1775 | 0.25 | 0.32 | YES |
6 | TCF7L1 | TCF7L1 | TCF7L1 | 1795 | 0.25 | 0.37 | YES |
7 | LEF1 | LEF1 | LEF1 | 2274 | 0.21 | 0.39 | YES |
8 | ERBB2 | ERBB2 | ERBB2 | 3111 | 0.16 | 0.38 | YES |
9 | FOXO3 | FOXO3 | FOXO3 | 3358 | 0.14 | 0.4 | YES |
10 | EGF | EGF | EGF | 3676 | 0.13 | 0.41 | YES |
11 | CTNNA2 | CTNNA2 | CTNNA2 | 3815 | 0.12 | 0.43 | YES |
12 | APC2 | APC2 | APC2 | 3829 | 0.12 | 0.45 | YES |
13 | PIK3R3 | PIK3R3 | PIK3R3 | 4935 | 0.087 | 0.41 | NO |
14 | SOS1 | SOS1 | SOS1 | 5097 | 0.083 | 0.42 | NO |
15 | TCF7L2 | TCF7L2 | TCF7L2 | 5527 | 0.073 | 0.41 | NO |
16 | PIK3R5 | PIK3R5 | PIK3R5 | 5842 | 0.065 | 0.4 | NO |
17 | PIK3CD | PIK3CD | PIK3CD | 6610 | 0.05 | 0.37 | NO |
18 | MAP2K2 | MAP2K2 | MAP2K2 | 6644 | 0.05 | 0.38 | NO |
19 | TP53 | TP53 | TP53 | 7290 | 0.038 | 0.35 | NO |
20 | MYC | MYC | MYC | 7762 | 0.031 | 0.33 | NO |
21 | PIK3R2 | PIK3R2 | PIK3R2 | 7909 | 0.028 | 0.33 | NO |
22 | SOS2 | SOS2 | SOS2 | 8082 | 0.026 | 0.33 | NO |
23 | AXIN1 | AXIN1 | AXIN1 | 8529 | 0.02 | 0.31 | NO |
24 | BAD | BAD | BAD | 9492 | 0.0065 | 0.25 | NO |
25 | AKT2 | AKT2 | AKT2 | 9898 | 0.0008 | 0.23 | NO |
26 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.22 | NO |
27 | PDPK1 | PDPK1 | PDPK1 | 10075 | -0.0015 | 0.22 | NO |
28 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.22 | NO |
29 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.2 | NO |
30 | PIK3R1 | PIK3R1 | PIK3R1 | 10385 | -0.0058 | 0.2 | NO |
31 | CASP9 | CASP9 | CASP9 | 10548 | -0.008 | 0.2 | NO |
32 | PIK3CB | PIK3CB | PIK3CB | 11003 | -0.015 | 0.18 | NO |
33 | PTEN | PTEN | PTEN | 11207 | -0.018 | 0.17 | NO |
34 | RAF1 | RAF1 | RAF1 | 11534 | -0.023 | 0.15 | NO |
35 | PIK3CA | PIK3CA | PIK3CA | 11608 | -0.024 | 0.16 | NO |
36 | KRAS | KRAS | KRAS | 11611 | -0.024 | 0.16 | NO |
37 | GRB2 | GRB2 | GRB2 | 11623 | -0.024 | 0.16 | NO |
38 | APC | APC | APC | 11761 | -0.026 | 0.16 | NO |
39 | ARAF | ARAF | ARAF | 11932 | -0.03 | 0.16 | NO |
40 | AKT1 | AKT1 | AKT1 | 11936 | -0.03 | 0.17 | NO |
41 | CTNNB1 | CTNNB1 | CTNNB1 | 12534 | -0.041 | 0.14 | NO |
42 | ILK | ILK | ILK | 12558 | -0.042 | 0.15 | NO |
43 | ELK1 | ELK1 | ELK1 | 12609 | -0.043 | 0.16 | NO |
44 | GSK3B | GSK3B | GSK3B | 12703 | -0.045 | 0.16 | NO |
45 | AKT3 | AKT3 | AKT3 | 13287 | -0.059 | 0.14 | NO |
46 | MLH1 | MLH1 | MLH1 | 13350 | -0.061 | 0.15 | NO |
47 | CCND1 | CCND1 | CCND1 | 13448 | -0.064 | 0.16 | NO |
48 | NRAS | NRAS | NRAS | 13630 | -0.068 | 0.16 | NO |
49 | PIK3CG | PIK3CG | PIK3CG | 13807 | -0.074 | 0.17 | NO |
50 | CTNNA1 | CTNNA1 | CTNNA1 | 14155 | -0.086 | 0.17 | NO |
51 | BRAF | BRAF | BRAF | 14910 | -0.12 | 0.15 | NO |
Figure S29. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG FATTY ACID METABOLISM.

Figure S30. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG FATTY ACID METABOLISM, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S16. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | TGFA | TGFA | TGFA | 428 | 0.48 | 0.081 | YES |
2 | RXRG | RXRG | RXRG | 740 | 0.39 | 0.15 | YES |
3 | FHIT | FHIT | FHIT | 811 | 0.38 | 0.23 | YES |
4 | EGFR | EGFR | EGFR | 1574 | 0.27 | 0.24 | YES |
5 | PRKCA | PRKCA | PRKCA | 1756 | 0.25 | 0.29 | YES |
6 | PRKCB | PRKCB | PRKCB | 1791 | 0.25 | 0.34 | YES |
7 | PRKCG | PRKCG | PRKCG | 1881 | 0.24 | 0.39 | YES |
8 | ERBB2 | ERBB2 | ERBB2 | 3111 | 0.16 | 0.36 | YES |
9 | FOXO3 | FOXO3 | FOXO3 | 3358 | 0.14 | 0.37 | YES |
10 | EGF | EGF | EGF | 3676 | 0.13 | 0.38 | YES |
11 | RASSF5 | RASSF5 | RASSF5 | 3881 | 0.12 | 0.4 | YES |
12 | PLCG1 | PLCG1 | PLCG1 | 4157 | 0.11 | 0.4 | YES |
13 | RARB | RARB | RARB | 4859 | 0.089 | 0.38 | YES |
14 | PIK3R3 | PIK3R3 | PIK3R3 | 4935 | 0.087 | 0.4 | YES |
15 | SOS1 | SOS1 | SOS1 | 5097 | 0.083 | 0.41 | YES |
16 | RXRB | RXRB | RXRB | 5702 | 0.069 | 0.39 | NO |
17 | PIK3R5 | PIK3R5 | PIK3R5 | 5842 | 0.065 | 0.4 | NO |
18 | PIK3CD | PIK3CD | PIK3CD | 6610 | 0.05 | 0.36 | NO |
19 | MAP2K2 | MAP2K2 | MAP2K2 | 6644 | 0.05 | 0.37 | NO |
20 | TP53 | TP53 | TP53 | 7290 | 0.038 | 0.34 | NO |
21 | PIK3R2 | PIK3R2 | PIK3R2 | 7909 | 0.028 | 0.31 | NO |
22 | STK4 | STK4 | STK4 | 8029 | 0.027 | 0.31 | NO |
23 | SOS2 | SOS2 | SOS2 | 8082 | 0.026 | 0.32 | NO |
24 | PLCG2 | PLCG2 | PLCG2 | 8538 | 0.02 | 0.29 | NO |
25 | CDKN2A | CDKN2A | CDKN2A | 8662 | 0.018 | 0.29 | NO |
26 | RB1 | RB1 | RB1 | 8695 | 0.017 | 0.29 | NO |
27 | RASSF1 | RASSF1 | RASSF1 | 8705 | 0.017 | 0.3 | NO |
28 | RXRA | RXRA | RXRA | 9146 | 0.011 | 0.27 | NO |
29 | BAD | BAD | BAD | 9492 | 0.0065 | 0.26 | NO |
30 | HRAS | HRAS | HRAS | 9645 | 0.0042 | 0.25 | NO |
31 | E2F3 | E2F3 | E2F3 | 9712 | 0.0032 | 0.24 | NO |
32 | AKT2 | AKT2 | AKT2 | 9898 | 0.0008 | 0.23 | NO |
33 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.22 | NO |
34 | PDPK1 | PDPK1 | PDPK1 | 10075 | -0.0015 | 0.22 | NO |
35 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.22 | NO |
36 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.21 | NO |
37 | PIK3R1 | PIK3R1 | PIK3R1 | 10385 | -0.0058 | 0.21 | NO |
38 | CASP9 | CASP9 | CASP9 | 10548 | -0.008 | 0.2 | NO |
39 | PIK3CB | PIK3CB | PIK3CB | 11003 | -0.015 | 0.18 | NO |
40 | RAF1 | RAF1 | RAF1 | 11534 | -0.023 | 0.15 | NO |
41 | PIK3CA | PIK3CA | PIK3CA | 11608 | -0.024 | 0.16 | NO |
42 | KRAS | KRAS | KRAS | 11611 | -0.024 | 0.16 | NO |
43 | GRB2 | GRB2 | GRB2 | 11623 | -0.024 | 0.16 | NO |
44 | ARAF | ARAF | ARAF | 11932 | -0.03 | 0.15 | NO |
45 | AKT1 | AKT1 | AKT1 | 11936 | -0.03 | 0.16 | NO |
46 | CDK4 | CDK4 | CDK4 | 13237 | -0.057 | 0.098 | NO |
47 | AKT3 | AKT3 | AKT3 | 13287 | -0.059 | 0.11 | NO |
48 | CCND1 | CCND1 | CCND1 | 13448 | -0.064 | 0.11 | NO |
49 | NRAS | NRAS | NRAS | 13630 | -0.068 | 0.12 | NO |
50 | PIK3CG | PIK3CG | PIK3CG | 13807 | -0.074 | 0.12 | NO |
51 | CDK6 | CDK6 | CDK6 | 14411 | -0.096 | 0.11 | NO |
52 | BRAF | BRAF | BRAF | 14910 | -0.12 | 0.11 | NO |
53 | E2F2 | E2F2 | E2F2 | 16069 | -0.2 | 0.085 | NO |
Figure S31. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG ABC TRANSPORTERS.

Figure S32. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG ABC TRANSPORTERS, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S17. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | KCNB1 | KCNB1 | KCNB1 | 189 | 0.6 | 0.11 | YES |
2 | CACNA1A | CACNA1A | CACNA1A | 360 | 0.51 | 0.2 | YES |
3 | GRM4 | GRM4 | GRM4 | 440 | 0.48 | 0.29 | YES |
4 | TAS2R10 | TAS2R10 | TAS2R10 | 1276 | 0.3 | 0.3 | YES |
5 | TAS1R3 | TAS1R3 | TAS1R3 | 1689 | 0.26 | 0.33 | YES |
6 | TAS2R43 | TAS2R43 | TAS2R43 | 2015 | 0.23 | 0.36 | YES |
7 | SCNN1A | SCNN1A | SCNN1A | 2116 | 0.22 | 0.4 | YES |
8 | TAS2R20 | TAS2R20 | TAS2R20 | 2170 | 0.22 | 0.44 | YES |
9 | SCNN1B | SCNN1B | SCNN1B | 2426 | 0.2 | 0.46 | YES |
10 | GNB3 | GNB3 | GNB3 | 2490 | 0.2 | 0.5 | YES |
11 | TRPM5 | TRPM5 | TRPM5 | 2736 | 0.18 | 0.52 | YES |
12 | TAS2R5 | TAS2R5 | TAS2R5 | 2757 | 0.18 | 0.55 | YES |
13 | CACNA1B | CACNA1B | CACNA1B | 3089 | 0.16 | 0.56 | YES |
14 | GNG13 | GNG13 | GNG13 | 3698 | 0.13 | 0.56 | YES |
15 | TAS1R1 | TAS1R1 | TAS1R1 | 3794 | 0.12 | 0.57 | YES |
16 | TAS2R4 | TAS2R4 | TAS2R4 | 4253 | 0.11 | 0.57 | YES |
17 | GNG3 | GNG3 | GNG3 | 4332 | 0.1 | 0.58 | YES |
18 | SCNN1G | SCNN1G | SCNN1G | 5120 | 0.083 | 0.56 | NO |
19 | ADCY6 | ADCY6 | ADCY6 | 5273 | 0.079 | 0.56 | NO |
20 | ADCY4 | ADCY4 | ADCY4 | 5559 | 0.072 | 0.56 | NO |
21 | TAS2R19 | TAS2R19 | TAS2R19 | 6096 | 0.06 | 0.54 | NO |
22 | TAS2R31 | TAS2R31 | TAS2R31 | 6957 | 0.044 | 0.5 | NO |
23 | TAS2R46 | TAS2R46 | TAS2R46 | 7024 | 0.042 | 0.51 | NO |
24 | GNAS | GNAS | GNAS | 7508 | 0.035 | 0.49 | NO |
25 | PRKACA | PRKACA | PRKACA | 8450 | 0.021 | 0.44 | NO |
26 | TAS2R14 | TAS2R14 | TAS2R14 | 8751 | 0.017 | 0.42 | NO |
27 | ITPR3 | ITPR3 | ITPR3 | 8960 | 0.014 | 0.41 | NO |
28 | PLCB2 | PLCB2 | PLCB2 | 9826 | 0.0019 | 0.36 | NO |
29 | PRKACB | PRKACB | PRKACB | 10030 | -0.00093 | 0.35 | NO |
30 | PRKX | PRKX | PRKX | 12290 | -0.036 | 0.23 | NO |
31 | GNB1 | GNB1 | GNB1 | 12453 | -0.039 | 0.23 | NO |
32 | TAS2R13 | TAS2R13 | TAS2R13 | 12931 | -0.05 | 0.21 | NO |
33 | ACCN1 | ACCN1 | ACCN1 | 14871 | -0.12 | 0.12 | NO |
34 | PDE1A | PDE1A | PDE1A | 15400 | -0.14 | 0.12 | NO |
Figure S33. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG CARDIAC MUSCLE CONTRACTION.

Figure S34. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG CARDIAC MUSCLE CONTRACTION, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S18. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | CACNA2D2 | CACNA2D2 | CACNA2D2 | 435 | 0.48 | 0.037 | YES |
2 | ATP1B2 | ATP1B2 | ATP1B2 | 534 | 0.44 | 0.089 | YES |
3 | COX4I2 | COX4I2 | COX4I2 | 619 | 0.42 | 0.14 | YES |
4 | TNNT2 | TNNT2 | TNNT2 | 947 | 0.36 | 0.17 | YES |
5 | CACNA2D3 | CACNA2D3 | CACNA2D3 | 1163 | 0.32 | 0.2 | YES |
6 | CACNG2 | CACNG2 | CACNG2 | 1238 | 0.31 | 0.23 | YES |
7 | MYL3 | MYL3 | MYL3 | 1258 | 0.31 | 0.27 | YES |
8 | CACNG3 | CACNG3 | CACNG3 | 1332 | 0.3 | 0.3 | YES |
9 | TNNC1 | TNNC1 | TNNC1 | 1687 | 0.26 | 0.32 | YES |
10 | CACNA1F | CACNA1F | CACNA1F | 1744 | 0.26 | 0.35 | YES |
11 | CACNA1D | CACNA1D | CACNA1D | 2019 | 0.23 | 0.36 | YES |
12 | COX6B2 | COX6B2 | COX6B2 | 2105 | 0.22 | 0.39 | YES |
13 | CACNG5 | CACNG5 | CACNG5 | 2146 | 0.22 | 0.41 | YES |
14 | MYL2 | MYL2 | MYL2 | 2253 | 0.21 | 0.43 | YES |
15 | CACNB1 | CACNB1 | CACNB1 | 2910 | 0.17 | 0.42 | NO |
16 | ATP1A3 | ATP1A3 | ATP1A3 | 3657 | 0.13 | 0.39 | NO |
17 | CACNB2 | CACNB2 | CACNB2 | 4065 | 0.11 | 0.38 | NO |
18 | CACNA2D4 | CACNA2D4 | CACNA2D4 | 4568 | 0.096 | 0.37 | NO |
19 | UQCRB | UQCRB | UQCRB | 5266 | 0.079 | 0.34 | NO |
20 | CACNA1C | CACNA1C | CACNA1C | 5662 | 0.07 | 0.32 | NO |
21 | COX7C | COX7C | COX7C | 6439 | 0.053 | 0.29 | NO |
22 | ATP1A2 | ATP1A2 | ATP1A2 | 6527 | 0.052 | 0.29 | NO |
23 | COX6B1 | COX6B1 | COX6B1 | 7319 | 0.038 | 0.25 | NO |
24 | UQCR10 | UQCR10 | UQCR10 | 7533 | 0.034 | 0.24 | NO |
25 | COX4I1 | COX4I1 | COX4I1 | 7547 | 0.034 | 0.24 | NO |
26 | UQCR11 | UQCR11 | UQCR11 | 8065 | 0.026 | 0.22 | NO |
27 | UQCRH | UQCRH | UQCRH | 8081 | 0.026 | 0.22 | NO |
28 | SLC9A1 | SLC9A1 | SLC9A1 | 8290 | 0.023 | 0.21 | NO |
29 | UQCRHL | UQCRHL | UQCRHL | 8828 | 0.016 | 0.18 | NO |
30 | COX7A2L | COX7A2L | COX7A2L | 8841 | 0.015 | 0.18 | NO |
31 | COX6A1 | COX6A1 | COX6A1 | 9427 | 0.0074 | 0.15 | NO |
32 | UQCRQ | UQCRQ | UQCRQ | 9573 | 0.0056 | 0.14 | NO |
33 | ATP1B1 | ATP1B1 | ATP1B1 | 9649 | 0.0041 | 0.14 | NO |
34 | COX6C | COX6C | COX6C | 9676 | 0.0038 | 0.14 | NO |
35 | MYH7 | MYH7 | MYH7 | 10255 | -0.0039 | 0.11 | NO |
36 | UQCRFS1 | UQCRFS1 | UQCRFS1 | 10700 | -0.01 | 0.082 | NO |
37 | TPM3 | TPM3 | TPM3 | 10925 | -0.014 | 0.072 | NO |
38 | UQCRC1 | UQCRC1 | UQCRC1 | 11045 | -0.015 | 0.067 | NO |
39 | CYC1 | CYC1 | CYC1 | 11421 | -0.021 | 0.048 | NO |
40 | COX5B | COX5B | COX5B | 11614 | -0.024 | 0.04 | NO |
41 | COX7B | COX7B | COX7B | 11783 | -0.027 | 0.034 | NO |
42 | COX5A | COX5A | COX5A | 12072 | -0.032 | 0.022 | NO |
43 | FXYD2 | FXYD2 | FXYD2 | 12272 | -0.036 | 0.015 | NO |
44 | CACNB4 | CACNB4 | CACNB4 | 12546 | -0.041 | 0.0047 | NO |
45 | COX8A | COX8A | COX8A | 12693 | -0.044 | 0.0021 | NO |
46 | ATP2A2 | ATP2A2 | ATP2A2 | 12853 | -0.048 | -0.0008 | NO |
47 | COX7A1 | COX7A1 | COX7A1 | 12896 | -0.049 | 0.0031 | NO |
48 | RYR2 | RYR2 | RYR2 | 13060 | -0.052 | 0.00059 | NO |
49 | ATP1B3 | ATP1B3 | ATP1B3 | 13103 | -0.054 | 0.0051 | NO |
50 | SLC9A6 | SLC9A6 | SLC9A6 | 13136 | -0.054 | 0.01 | NO |
51 | CACNB3 | CACNB3 | CACNB3 | 13400 | -0.062 | 0.0033 | NO |
52 | COX7A2 | COX7A2 | COX7A2 | 13609 | -0.068 | 0.00025 | NO |
53 | TPM4 | TPM4 | TPM4 | 13617 | -0.068 | 0.0087 | NO |
54 | ATP1A1 | ATP1A1 | ATP1A1 | 13789 | -0.073 | 0.0084 | NO |
55 | COX8C | COX8C | COX8C | 15105 | -0.13 | -0.05 | NO |
56 | TPM2 | TPM2 | TPM2 | 15273 | -0.14 | -0.042 | NO |
57 | ATP1A4 | ATP1A4 | ATP1A4 | 15291 | -0.14 | -0.025 | NO |
58 | CACNA2D1 | CACNA2D1 | CACNA2D1 | 15547 | -0.16 | -0.02 | NO |
59 | TPM1 | TPM1 | TPM1 | 15589 | -0.16 | -0.0014 | NO |
60 | MYH6 | MYH6 | MYH6 | 15815 | -0.18 | 0.0085 | NO |
61 | SLC8A1 | SLC8A1 | SLC8A1 | 15867 | -0.18 | 0.029 | NO |
62 | ACTC1 | ACTC1 | ACTC1 | 16494 | -0.25 | 0.025 | NO |
63 | CACNG4 | CACNG4 | CACNG4 | 16694 | -0.28 | 0.05 | NO |
Figure S35. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG WNT SIGNALING PATHWAY.

Figure S36. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG WNT SIGNALING PATHWAY, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S19. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | FLT3 | FLT3 | FLT3 | 67 | 0.77 | 0.16 | YES |
2 | TCF7 | TCF7 | TCF7 | 389 | 0.49 | 0.24 | YES |
3 | ZBTB16 | ZBTB16 | ZBTB16 | 988 | 0.35 | 0.28 | YES |
4 | KIT | KIT | KIT | 1291 | 0.3 | 0.32 | YES |
5 | TCF7L1 | TCF7L1 | TCF7L1 | 1795 | 0.25 | 0.34 | YES |
6 | LEF1 | LEF1 | LEF1 | 2274 | 0.21 | 0.36 | YES |
7 | PIK3R3 | PIK3R3 | PIK3R3 | 4935 | 0.087 | 0.23 | NO |
8 | IKBKB | IKBKB | IKBKB | 5046 | 0.085 | 0.24 | NO |
9 | SOS1 | SOS1 | SOS1 | 5097 | 0.083 | 0.25 | NO |
10 | RARA | RARA | RARA | 5450 | 0.075 | 0.25 | NO |
11 | TCF7L2 | TCF7L2 | TCF7L2 | 5527 | 0.073 | 0.26 | NO |
12 | PIK3R5 | PIK3R5 | PIK3R5 | 5842 | 0.065 | 0.25 | NO |
13 | PIK3CD | PIK3CD | PIK3CD | 6610 | 0.05 | 0.22 | NO |
14 | MAP2K2 | MAP2K2 | MAP2K2 | 6644 | 0.05 | 0.23 | NO |
15 | RPS6KB1 | RPS6KB1 | RPS6KB1 | 7296 | 0.038 | 0.2 | NO |
16 | MYC | MYC | MYC | 7762 | 0.031 | 0.18 | NO |
17 | PIK3R2 | PIK3R2 | PIK3R2 | 7909 | 0.028 | 0.18 | NO |
18 | SOS2 | SOS2 | SOS2 | 8082 | 0.026 | 0.17 | NO |
19 | STAT5B | STAT5B | STAT5B | 8460 | 0.021 | 0.15 | NO |
20 | MTOR | MTOR | MTOR | 9106 | 0.012 | 0.12 | NO |
21 | BAD | BAD | BAD | 9492 | 0.0065 | 0.098 | NO |
22 | STAT5A | STAT5A | STAT5A | 9532 | 0.0061 | 0.098 | NO |
23 | HRAS | HRAS | HRAS | 9645 | 0.0042 | 0.092 | NO |
24 | RUNX1T1 | RUNX1T1 | RUNX1T1 | 9870 | 0.0012 | 0.079 | NO |
25 | AKT2 | AKT2 | AKT2 | 9898 | 0.0008 | 0.078 | NO |
26 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.069 | NO |
27 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.067 | NO |
28 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.054 | NO |
29 | PIK3R1 | PIK3R1 | PIK3R1 | 10385 | -0.0058 | 0.053 | NO |
30 | IKBKG | IKBKG | IKBKG | 10455 | -0.0066 | 0.051 | NO |
31 | PML | PML | PML | 10563 | -0.0081 | 0.046 | NO |
32 | RPS6KB2 | RPS6KB2 | RPS6KB2 | 10833 | -0.012 | 0.034 | NO |
33 | RELA | RELA | RELA | 10870 | -0.012 | 0.034 | NO |
34 | PIK3CB | PIK3CB | PIK3CB | 11003 | -0.015 | 0.03 | NO |
35 | RAF1 | RAF1 | RAF1 | 11534 | -0.023 | 0.0039 | NO |
36 | PIK3CA | PIK3CA | PIK3CA | 11608 | -0.024 | 0.0046 | NO |
37 | KRAS | KRAS | KRAS | 11611 | -0.024 | 0.0094 | NO |
38 | GRB2 | GRB2 | GRB2 | 11623 | -0.024 | 0.014 | NO |
39 | ARAF | ARAF | ARAF | 11932 | -0.03 | 0.0023 | NO |
40 | AKT1 | AKT1 | AKT1 | 11936 | -0.03 | 0.0082 | NO |
41 | NFKB1 | NFKB1 | NFKB1 | 12109 | -0.033 | 0.0052 | NO |
42 | JUP | JUP | JUP | 12874 | -0.048 | -0.028 | NO |
43 | SPI1 | SPI1 | SPI1 | 13214 | -0.057 | -0.036 | NO |
44 | AKT3 | AKT3 | AKT3 | 13287 | -0.059 | -0.028 | NO |
45 | CCND1 | CCND1 | CCND1 | 13448 | -0.064 | -0.024 | NO |
46 | CCNA1 | CCNA1 | CCNA1 | 13515 | -0.065 | -0.015 | NO |
47 | NRAS | NRAS | NRAS | 13630 | -0.068 | -0.0071 | NO |
48 | PIK3CG | PIK3CG | PIK3CG | 13807 | -0.074 | -0.002 | NO |
49 | RUNX1 | RUNX1 | RUNX1 | 14013 | -0.08 | 0.0028 | NO |
50 | CHUK | CHUK | CHUK | 14560 | -0.1 | -0.0074 | NO |
51 | CEBPA | CEBPA | CEBPA | 14565 | -0.1 | 0.014 | NO |
52 | STAT3 | STAT3 | STAT3 | 14838 | -0.12 | 0.022 | NO |
53 | BRAF | BRAF | BRAF | 14910 | -0.12 | 0.042 | NO |
54 | PIM1 | PIM1 | PIM1 | 15312 | -0.14 | 0.048 | NO |
55 | PIM2 | PIM2 | PIM2 | 15605 | -0.16 | 0.064 | NO |
56 | EIF4EBP1 | EIF4EBP1 | EIF4EBP1 | 16394 | -0.23 | 0.067 | NO |
Figure S37. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG CELL ADHESION MOLECULES CAMS.

Figure S38. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG CELL ADHESION MOLECULES CAMS, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

Table S20. Get Full Table This table shows a Running Enrichment Score (RES) of each gene in this pathway, that is, the enrichment score at this point in the ranked list of genes. All genes are ranked by Signal-to-Noise (S2N), a measure of similarity as default and are used to obtain ES matrix of all genes. In this way, GSEA tool uses expression pattern of not only overlapped genes but also not-overlapped genes to produce ES matrix.
Rank | GENE | SYMBOL | DESC | LIST.LOC | S2N | RES | CORE_ENRICHMENT |
---|---|---|---|---|---|---|---|
1 | ADCY5 | ADCY5 | ADCY5 | 43 | 0.83 | 0.056 | YES |
2 | GNAO1 | GNAO1 | GNAO1 | 169 | 0.62 | 0.093 | YES |
3 | TCF7 | TCF7 | TCF7 | 389 | 0.49 | 0.12 | YES |
4 | CAMK2B | CAMK2B | CAMK2B | 426 | 0.48 | 0.15 | YES |
5 | EDNRB | EDNRB | EDNRB | 484 | 0.46 | 0.18 | YES |
6 | WNT10B | WNT10B | WNT10B | 572 | 0.43 | 0.2 | YES |
7 | CREB3L3 | CREB3L3 | CREB3L3 | 733 | 0.4 | 0.22 | YES |
8 | CALML6 | CALML6 | CALML6 | 790 | 0.38 | 0.24 | YES |
9 | WNT6 | WNT6 | WNT6 | 927 | 0.36 | 0.26 | YES |
10 | WNT7A | WNT7A | WNT7A | 1136 | 0.32 | 0.27 | YES |
11 | WNT16 | WNT16 | WNT16 | 1168 | 0.32 | 0.29 | YES |
12 | KIT | KIT | KIT | 1291 | 0.3 | 0.31 | YES |
13 | FZD8 | FZD8 | FZD8 | 1324 | 0.3 | 0.33 | YES |
14 | ADCY1 | ADCY1 | ADCY1 | 1446 | 0.29 | 0.34 | YES |
15 | PLCB4 | PLCB4 | PLCB4 | 1556 | 0.27 | 0.35 | YES |
16 | FZD7 | FZD7 | FZD7 | 1614 | 0.27 | 0.37 | YES |
17 | WNT1 | WNT1 | WNT1 | 1627 | 0.27 | 0.39 | YES |
18 | PRKCA | PRKCA | PRKCA | 1756 | 0.25 | 0.4 | YES |
19 | PRKCB | PRKCB | PRKCB | 1791 | 0.25 | 0.41 | YES |
20 | TCF7L1 | TCF7L1 | TCF7L1 | 1795 | 0.25 | 0.43 | YES |
21 | PRKCG | PRKCG | PRKCG | 1881 | 0.24 | 0.44 | YES |
22 | FZD10 | FZD10 | FZD10 | 1958 | 0.24 | 0.46 | YES |
23 | LEF1 | LEF1 | LEF1 | 2274 | 0.21 | 0.45 | NO |
24 | WNT5B | WNT5B | WNT5B | 2643 | 0.18 | 0.44 | NO |
25 | CREB3L2 | CREB3L2 | CREB3L2 | 2929 | 0.17 | 0.44 | NO |
26 | EDN1 | EDN1 | EDN1 | 2976 | 0.16 | 0.45 | NO |
27 | KITLG | KITLG | KITLG | 3107 | 0.16 | 0.45 | NO |
28 | ADCY9 | ADCY9 | ADCY9 | 3994 | 0.12 | 0.41 | NO |
29 | CREB3L4 | CREB3L4 | CREB3L4 | 4209 | 0.11 | 0.4 | NO |
30 | WNT4 | WNT4 | WNT4 | 4278 | 0.1 | 0.41 | NO |
31 | MC1R | MC1R | MC1R | 4343 | 0.1 | 0.41 | NO |
32 | CALML5 | CALML5 | CALML5 | 4345 | 0.1 | 0.42 | NO |
33 | CAMK2D | CAMK2D | CAMK2D | 4515 | 0.098 | 0.42 | NO |
34 | WNT8B | WNT8B | WNT8B | 4587 | 0.096 | 0.42 | NO |
35 | CREBBP | CREBBP | CREBBP | 4729 | 0.092 | 0.42 | NO |
36 | CAMK2G | CAMK2G | CAMK2G | 4970 | 0.087 | 0.41 | NO |
37 | DVL1 | DVL1 | DVL1 | 5125 | 0.083 | 0.41 | NO |
38 | ADCY6 | ADCY6 | ADCY6 | 5273 | 0.079 | 0.4 | NO |
39 | PLCB1 | PLCB1 | PLCB1 | 5417 | 0.075 | 0.4 | NO |
40 | TCF7L2 | TCF7L2 | TCF7L2 | 5527 | 0.073 | 0.4 | NO |
41 | ADCY4 | ADCY4 | ADCY4 | 5559 | 0.072 | 0.4 | NO |
42 | GNAI1 | GNAI1 | GNAI1 | 5773 | 0.067 | 0.4 | NO |
43 | DVL2 | DVL2 | DVL2 | 6435 | 0.053 | 0.36 | NO |
44 | MAP2K2 | MAP2K2 | MAP2K2 | 6644 | 0.05 | 0.35 | NO |
45 | FZD4 | FZD4 | FZD4 | 6818 | 0.046 | 0.35 | NO |
46 | WNT9A | WNT9A | WNT9A | 6842 | 0.046 | 0.35 | NO |
47 | ADCY7 | ADCY7 | ADCY7 | 7462 | 0.036 | 0.32 | NO |
48 | GNAS | GNAS | GNAS | 7508 | 0.035 | 0.32 | NO |
49 | PRKACA | PRKACA | PRKACA | 8450 | 0.021 | 0.26 | NO |
50 | EP300 | EP300 | EP300 | 8466 | 0.021 | 0.26 | NO |
51 | CREB1 | CREB1 | CREB1 | 8961 | 0.014 | 0.24 | NO |
52 | CALML3 | CALML3 | CALML3 | 9268 | 0.0095 | 0.22 | NO |
53 | HRAS | HRAS | HRAS | 9645 | 0.0042 | 0.2 | NO |
54 | PLCB2 | PLCB2 | PLCB2 | 9826 | 0.0019 | 0.19 | NO |
55 | PRKACB | PRKACB | PRKACB | 10030 | -0.00093 | 0.18 | NO |
56 | MAP2K1 | MAP2K1 | MAP2K1 | 10055 | -0.0013 | 0.18 | NO |
57 | MAPK1 | MAPK1 | MAPK1 | 10098 | -0.002 | 0.17 | NO |
58 | WNT3 | WNT3 | WNT3 | 10155 | -0.0026 | 0.17 | NO |
59 | CALM3 | CALM3 | CALM3 | 10189 | -0.0031 | 0.17 | NO |
60 | WNT2B | WNT2B | WNT2B | 10225 | -0.0036 | 0.17 | NO |
61 | MAPK3 | MAPK3 | MAPK3 | 10359 | -0.0055 | 0.16 | NO |
62 | POMC | POMC | POMC | 10361 | -0.0055 | 0.16 | NO |
63 | DVL3 | DVL3 | DVL3 | 10539 | -0.0078 | 0.15 | NO |
64 | CALM1 | CALM1 | CALM1 | 10694 | -0.01 | 0.14 | NO |
65 | CREB3 | CREB3 | CREB3 | 10849 | -0.012 | 0.14 | NO |
66 | ADCY2 | ADCY2 | ADCY2 | 10901 | -0.013 | 0.13 | NO |
67 | FZD3 | FZD3 | FZD3 | 10968 | -0.014 | 0.13 | NO |
68 | WNT11 | WNT11 | WNT11 | 11159 | -0.017 | 0.12 | NO |
69 | GNAI2 | GNAI2 | GNAI2 | 11508 | -0.022 | 0.1 | NO |
70 | RAF1 | RAF1 | RAF1 | 11534 | -0.023 | 0.1 | NO |
71 | KRAS | KRAS | KRAS | 11611 | -0.024 | 0.1 | NO |
72 | FZD6 | FZD6 | FZD6 | 11618 | -0.024 | 0.1 | NO |
73 | PRKX | PRKX | PRKX | 12290 | -0.036 | 0.065 | NO |
74 | CTNNB1 | CTNNB1 | CTNNB1 | 12534 | -0.041 | 0.054 | NO |
75 | CALM2 | CALM2 | CALM2 | 12587 | -0.042 | 0.054 | NO |
76 | GSK3B | GSK3B | GSK3B | 12703 | -0.045 | 0.051 | NO |
77 | WNT10A | WNT10A | WNT10A | 13038 | -0.052 | 0.035 | NO |
78 | NRAS | NRAS | NRAS | 13630 | -0.068 | 0.0062 | NO |
79 | PLCB3 | PLCB3 | PLCB3 | 13754 | -0.072 | 0.0042 | NO |
80 | GNAQ | GNAQ | GNAQ | 14066 | -0.082 | -0.0078 | NO |
81 | FZD9 | FZD9 | FZD9 | 14185 | -0.087 | -0.0084 | NO |
82 | GNAI3 | GNAI3 | GNAI3 | 14273 | -0.091 | -0.007 | NO |
83 | FZD2 | FZD2 | FZD2 | 14507 | -0.1 | -0.013 | NO |
84 | TYRP1 | TYRP1 | TYRP1 | 14600 | -0.1 | -0.011 | NO |
85 | ASIP | ASIP | ASIP | 14907 | -0.12 | -0.02 | NO |
86 | WNT7B | WNT7B | WNT7B | 15509 | -0.15 | -0.044 | NO |
87 | WNT5A | WNT5A | WNT5A | 15692 | -0.17 | -0.043 | NO |
88 | MITF | MITF | MITF | 16364 | -0.23 | -0.065 | NO |
89 | FZD5 | FZD5 | FZD5 | 16411 | -0.24 | -0.051 | NO |
90 | FZD1 | FZD1 | FZD1 | 16707 | -0.28 | -0.048 | NO |
91 | CAMK2A | CAMK2A | CAMK2A | 17098 | -0.37 | -0.045 | NO |
92 | CREB3L1 | CREB3L1 | CREB3L1 | 17327 | -0.47 | -0.025 | NO |
93 | WNT2 | WNT2 | WNT2 | 17432 | -0.54 | 0.0073 | NO |
Figure S39. Get High-res Image This plot shows mRNAseq_cNMF expression data heatmap (on the left) a RunningEnrichmentScore(RES) plot (on the top right) and a Signal2Noise(S2N) plot (on the bottom right) of genes in the pathway: KEGG INTESTINAL IMMUNE NETWORK FOR IGA PRODUCTION.

Figure S40. Get High-res Image For the top 5 core enriched genes in the pathway: KEGG INTESTINAL IMMUNE NETWORK FOR IGA PRODUCTION, this volcano plot shows how much they are up/down-regulated and significant. The significance was calculated by empirical bayesian fit

For the top enriched genes, if you want to check whether they are
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up-regulated, please check the list of up-regulated genes
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down-regulated, please check the list of down-regulated genes
For the top enriched genes, if you want to check whether they are
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highly expressed genes, please check the list of high (top 30%) expressed genes
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low expressed genes, please check the list of low (bottom 30%) expressed genes
An expression pattern of top(30%)/middle(30%)/low(30%) in this subtype against other subtypes is available in a heatmap
For the top enriched genes, if you want to check whether they are
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significantly differently expressed genes by eBayes lm fit, please check the list of significant genes
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Gene set database = c2.cp.v3.0-2.symbols.gmt
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Expression data file = DLBC-TP.uncv2.mRNAseq_RSEM_normalized_log2.txt
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Phenotype data file = DLBC-TP.mergedcluster.txt
For the Gene Set Enrichment Analysis (GSEA), Broad GSEA-P-R.1.0 version is used with class2: canonical pathways geneses from MSigDB. Further details about statistics are available inThe Broad GSEA website.
In addition to the links below, the full results of the analysis summarized in this report can also be downloaded programmatically using firehose_get, or interactively from either the Broad GDAC website or TCGA Data Coordination Center Portal.