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Center for Computational Systems Medicine
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Dataset summary

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Drug summary

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Umap of single cell types and conditions (resistant and sensitive)

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Comparison of cell composition between the resistant and sensitive groups (This dataset does not contain this module)

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Comparison of intra-tumor heterogeneity (ITH) and epithelial-mesenchymal transition (EMT) scores of malignant cells between the resistant and sensitive groups

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Difference of cell-cell interactions between the resistant and sensitive groups (This dataset does not contain this module)

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples (This dataset does not contain this module)

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples (This dataset does not contain this module)

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for Malignant cells

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Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

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Differentially expressed genes act as transcription factors

Dataset: GSE164897_VemCob

Dataset summary for GSE164897_VemCob

Datast informationDatasetGSE164897_VemCob
PMID34591417
Raw data ID/linkPRJNA692421
OrganismHomo sapiens
SourceA375 cell line
TissueCell line
Cancer type level1Melanoma
Cancer type level2BRAFV600E-mutant melanoma
Regimenvemurafenib + combimetinib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 1
Cell number14851
Extract protocol10x genomics
Data processingCellRanger
Public datePublic on Jan 16, 2021
DescriptionThis dataset has 1 cell line with a sensitive pre-treatment sample and a resistant post-treatment sample.

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Drug summary for GSE164897_VemCob

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Vemurafenib"

DB08881

small moleculeBRAFP15056
"combimetinib" is not included in the drug list.

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Umap of single cell types and conditions (resistant and sensitive)

check buttonUmap of cell types and conditions (resistant and sensitive). If this dataset has both pre-treatment and post-treatment samples, the cell types were annotated together. If this dataset is a cell line dataset, the UMAP of cell clusters and the cell ratio of drug-resistant and sensitive groups within each cluster will also be shown. (If the image exists, the user can click on it to enlarge it in a new window.)
Umap of cell typesboxplotUmap of conditionsboxplot
Umap of cell clustersboxplotCell ratio of drug-resistant and sensitive groups within each clusterboxplot

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Comparison of cell composition between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

check buttonIn the post-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

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Comparison of ITH and EMT scores of malignant cells between the resistant and sensitive groups

check buttonComparison of ITH (intra-tumoral heterogeneity) and EMT (epithelial-mesenchymal transition) scores of malignant cells between the resistant and sensitive groups. ITH represents intratumoral heterogeneity, EMT represents epithelial mesenchymal transition, pre represents pre-treatment, post represents post-treatment, post2 represents longer post-treatment. (If the image exists, the user can click on it to enlarge it in a new window.)
Comparison of ITH scoresboxplotComparison of EMT scoresboxplot

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Difference of cell-cell interactions between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonIn the post-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

check buttonIn the pre-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonIn the post-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The following are differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

RPL27

ENSG000001314690.9383660.00e+000.00e+0011Malignant cellsNA

PAGE5

ENSG000001586390.9349340.00e+000.00e+000.9950.943Malignant cellsNA

SOD1

ENSG000001421680.9297870.00e+000.00e+000.9460.775Malignant cellsNA

HINT1

ENSG000001695670.9219440.00e+000.00e+0010.998Malignant cellsNA

HSP90AB1

ENSG000000963840.9132510.00e+000.00e+000.9990.99Malignant cellsNA

NBDY

ENSG000002042720.912390.00e+000.00e+000.8030.525Malignant cellsNA

ATP5MG

ENSG000001672830.910380.00e+000.00e+0010.992Malignant cellsNA

VAMP8

ENSG000001186400.9096070.00e+000.00e+000.6020.211Malignant cellsNA

GTF2A2

ENSG000001403070.9046750.00e+000.00e+000.8560.621Malignant cellsNA

MT-CO3

ENSG000001989380.9009530.00e+000.00e+0011Malignant cellsNA

MAP1B

ENSG000001317110.8996830.00e+000.00e+000.6750.419Malignant cellsNA

TMEM14B

ENSG000001372100.8980340.00e+000.00e+000.7250.428Malignant cellsNA

COX20

ENSG000002036670.889630.00e+000.00e+000.9380.741Malignant cellsNA

COX14

ENSG000001784490.8858850.00e+000.00e+000.8880.649Malignant cellsNA

TMEM208

ENSG000001687010.8813940.00e+000.00e+000.8090.526Malignant cellsNA

XRCC5

ENSG000000792460.8809460.00e+000.00e+000.7450.494Malignant cellsNA

ERH

ENSG000001006320.876290.00e+000.00e+000.8910.684Malignant cellsNA

SUMO1

ENSG000001160300.8746710.00e+000.00e+000.890.661Malignant cellsNA

SNU13

ENSG000001001380.867690.00e+000.00e+000.9870.898Malignant cellsNA

PSMB2

ENSG000001260670.8670690.00e+000.00e+000.8480.662Malignant cellsNA

LSM5

ENSG000001063550.866810.00e+000.00e+000.9470.795Malignant cellsNA

FABP5

ENSG000001646870.8642170.00e+000.00e+000.6660.427Malignant cellsNA

ATP5PF

ENSG000001547230.8602580.00e+000.00e+000.9930.955Malignant cellsNA

NCL

ENSG000001150530.8600170.00e+000.00e+000.9580.831Malignant cellsNA

RPS11

ENSG000001425340.8508840.00e+000.00e+0011Malignant cellsNA

LRRC17

ENSG000001286060.8450010.00e+000.00e+000.3950.003Malignant cellsNA

TMBIM6

ENSG000001396440.844790.00e+000.00e+000.8670.698Malignant cellsNA

TXN

ENSG000001368100.843610.00e+000.00e+0010.994Malignant cellsNA

TIMP1

ENSG000001022650.8314210.00e+000.00e+000.9940.883Malignant cellsNA

MRPL27

ENSG000001088260.8313670.00e+000.00e+000.8230.592Malignant cellsNA

CENPW

ENSG000002037600.8266550.00e+000.00e+000.5350.172Malignant cellsNA

CLIC1

ENSG000002266510.8260370.00e+000.00e+000.9580.793Malignant cellsNA

MT-ATP6

ENSG000001988990.8229360.00e+000.00e+0010.999Malignant cellsNA

CENPF

ENSG000001177240.8181960.00e+000.00e+000.5640.262Malignant cellsNA

HNRNPA2B1

ENSG000001225660.8045610.00e+000.00e+000.9350.769Malignant cellsNA

RPL30

ENSG000001564820.7818890.00e+000.00e+0011Malignant cellsNA

PSMA4

ENSG000000413570.7787140.00e+000.00e+000.8220.654Malignant cellsNA

MYL6B

ENSG000001964650.7784520.00e+000.00e+000.8930.716Malignant cellsNA

RHOBTB3

ENSG000001642920.7767040.00e+000.00e+000.470.174Malignant cellsNA

RPS26

ENSG000001977280.7750240.00e+000.00e+0011Malignant cellsNA

HSBP1

ENSG000002309890.7740610.00e+000.00e+000.9810.886Malignant cellsNA

NME1

ENSG000002396720.7725140.00e+000.00e+000.9740.9Malignant cellsNA

PSMC5

ENSG000000871910.7591820.00e+000.00e+000.8990.729Malignant cellsNA

PSMA2

ENSG000001065880.7540150.00e+000.00e+000.6890.487Malignant cellsNA

TAGLN2

ENSG000001587100.7534650.00e+000.00e+000.9790.858Malignant cellsNA

NEFL

ENSG000002775860.7516640.00e+000.00e+000.3820.08Malignant cellsNA

MRPL33

ENSG000002431470.7490460.00e+000.00e+000.9090.736Malignant cellsNA

ARL3

ENSG000001381750.7487560.00e+000.00e+000.5980.313Malignant cellsNA

SAP18

ENSG000001504590.7450620.00e+000.00e+000.8330.642Malignant cellsNA

NDUFA12

ENSG000001847520.7448220.00e+000.00e+000.8290.649Malignant cellsNA
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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples

check buttonEnrichment results for 5 known drug-resistant mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of pre-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window.Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples

check buttonEnrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group of post-treatment samples. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Enrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells are shown here.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)
Enrichment results for 5 known drug resistance mechanisms in malignant cells
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MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway2.90e-071.50e-0617337819723467Malignant cellsAURKA,BAX,BRCA1,CDCP1,CDK4,COL3A1,CTNNB1,DCTD,DNMT1,GSTP1,HMGA1,HMGB1,ID1,IRS1,PKM,MCL1,MAP1LC3B,NFE2L2,NFKB1,PARP1,RPS6,S100A4,SHC1,ST3GAL4,SOX4,PBK,YWHAZ,AAMDC,SLC25A5,ATG3,BAD,BAG1,BID,HSPA5,BRD4,BTG1,CCNB1,CDK1,CCND1,CD44,DDIT3,DKK1,EGR1,ERCC1,ERRFI1,FIS1,FOXM1,FTL,FUS,GAPDH,HDAC3,HMGB2,HSPA8,HSPB1,IL24,CXCL8,NKIRAS2,LDHA,MTDH,MGMT,SPP1,PABPC1,PGK1,AGPAT2,POMP,PRKDC,PSMB5,PSMG2,PTPN12,RAC1,RAP1B,ERBB3,HNRNPA1,RSF1,S100A11,SDHB,SMC4,SMUG1,SOX10,TPT1,TFAM,TGFA,TMED3,TMEM54,TOP1,WNT5A,YEATS4,MAGEA4,CALR,NPM1,EIF4EBP1,MDK,RCN1,PMVK,EBP,TRIB3,BIRC2
Drug Inactivation by Structure Modification3.20e-018.00e-01173327323467Malignant cellsGSTP1,GSS,NME1
Aberration of the Drug's Therapeutic Target6.60e-019.60e-01173390623467Malignant cellsBRCA1,CDK4,NPM1,COMT,AKR1B1,TOP2A
Irregularity in Drug Uptake and Drug Efflux7.70e-019.60e-01173337223467Malignant cellsSLC3A2,SLC7A5
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0017334551423467Malignant cellsDNMT1,IRS1,LMNA,TRIP6,PMAIP1,GAPDH,CXCL8,SMC4,TIMP1,CYTOR,MALAT1,GIHCG,GDI2,PPP1R15A


check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Up-regulated HallmarkUp-regulated KEGGUp-regulated GO BP

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check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for malignant cells

check buttonIn the pre-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonIn the post-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. Here only the names of miRNAs with a score greater than 80 are shown, but some names will not be shown because of too many overlaps. If the gene does not have any miRNAs with a score greater than 90, it will not be shown. (Complete files containing all datasets and cell types can be downloaded from the download section.)
Regulating up-regulated DEGs in resistant groupRegulating down-regulated DEGs in resistant group
boxplotboxplot

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Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

check buttonIn the pre-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

check buttonIn the post-treatment samples, the motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Motifs and TFs that regulate drug resistance-related DEGs for each cell type are shown here. (Complete files can be downloaded from the download section.)
Motifs and TFs regulating up-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP6.810.0742ETV5; HOXA2 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT6.770.0739ETS2 (directAnnotation). Malignant cells
motifswissregulon__hs__ETV66.690.0732ETV6 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ELK1_HOXA1_RCCGGAAGTAATTA_HT6.60.0725ELK1; HOXA1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr6.030.0681ELF1; MEIS1 (directAnnotation). Malignant cells
motifjaspar__MA1483.25.980.0677ELF2 (directAnnotation). Malignant cells
motifhdpi__TP735.980.0677TP73 (directAnnotation). Malignant cells
motifmetacluster_191.25.710.0656ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifswissregulon__hs__ELF25.570.0645ELF2 (directAnnotation). Malignant cells
motifmetacluster_191.35.520.0641EHF; ELF1; ELF1; ELF1; ELF4; ELK1; ELK3; ELK3; ELK4; ELK4; ERF; ETS1; ETS2; ETV3; ETV4; ETV5; FEV; FEV; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; SPDEF; ZNF200 (directAnnotation). ELK1; ELK1; ELK3; ELK3; ELK4; ELK4; ETV1; ETV1; ETV4; ETV4; ETV4; ETV5; GABPA; GABPA (inferredBy_Orthology). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT8.960.0694ETS2 (directAnnotation). Malignant cells
motiftransfac_pro__M048267.720.0628EP300 (directAnnotation). Malignant cells
motifmetacluster_166.26.630.057ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETV5_FOXI1_RSCGGATGTTGN_CAP6.550.0566ETV5; FOXI1 (directAnnotation). Malignant cells
motifmetacluster_191.36.50.0563EHF; ELF1; ELF1; ELF1; ELF4; ELK1; ELK3; ELK3; ELK4; ELK4; ERF; ETS1; ETS2; ETV3; ETV4; ETV5; FEV; FEV; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; SPDEF; ZNF200 (directAnnotation). ELK1; ELK1; ELK3; ELK3; ELK4; ELK4; ETV1; ETV1; ETV4; ETV4; ETV4; ETV5; GABPA; GABPA (inferredBy_Orthology). Malignant cells
motifjaspar__MA1483.26.360.0556ELF2 (directAnnotation). Malignant cells
motifmetacluster_191.26.340.0555ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_34.46.20.0547ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
motifhdpi__FLI16.150.0545FLI1 (directAnnotation). Malignant cells
motifmetacluster_166.46.110.0543BCLAF1; EHF; ELF1; ELF1; ELF1; ELF1; ELF1; ELF1; ELF2; ELF2; ELF4; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK3; ELK3; ELK3; ELK3; ELK4; ERG; ERG; ERG; ERG; ETS1; ETS1; ETS1; ETS1; ETS1; ETV1; ETV1; ETV1; ETV1; ETV2; ETV3; ETV4; ETV4; ETV4; ETV4; ETV4; ETV5; ETV7; FEV; FEV; FLI1; FLI1; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; GABPB1; GATAD1; PHF20; ZBTB25; ZBTB40 (directAnnotation). EHF; ELF1; ELF1; ELF3; ELF5; ELK3; ELK4; ERG; ETS1; ETV1; ETV2; ETV4; FLI1; GABPA; GABPA (inferredBy_Orthology). Malignant cells
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Differentially expressed genes act as transcription factors

check buttonThis table shows the differentially expressed genes that act as transcription factors. (Complete files can be downloaded from the download section.)
TFmotifExpressionCell typeTimepoint

EGR1

metacluster_34.3upMalignant cellsNA

ETV4

metacluster_166.2downMalignant cellsNA

ETV4

metacluster_191.3downMalignant cellsNA

ETV4

metacluster_166.4downMalignant cellsNA

GABPB1

metacluster_166.4downMalignant cellsNA

ETV4

taipale_tf_pairs__HOXB2_ETV4_ACCGGAAATGAN_CAPdownMalignant cellsNA

ETV4

taipale_tf_pairs__FOXO1_ETV4_RCCGGAWGTKKN_CAPdownMalignant cellsNA

ETV4

hdpi__ETV4downMalignant cellsNA

ETV4

taipale_tf_pairs__GCM1_ETV4_RTGCGGGCGGAAGTR_CAPdownMalignant cellsNA

ETV4

metacluster_138.2downMalignant cellsNA
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1"Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res. 2023 Jan 6;51(D1):D1263-D1275. doi: 10.1093/nar/gkac812. PMID: 36243960; PMCID: PMC9825618."
2"Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082. doi: 10.1093/nar/gkx1037. PMID: 29126136; PMCID: PMC5753335."