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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

UTS2

ENSG000000492475.610820.00e+000.00e+000.9720.017Malignant cellsNA

FTL

ENSG000000870863.035330.00e+000.00e+0010.999Malignant cellsNA

MMP1

ENSG000001966112.939820.00e+000.00e+000.7020.014Malignant cellsNA

NTS

ENSG000001336362.284020.00e+000.00e+000.590.003Malignant cellsNA

MYL6

ENSG000000928412.249450.00e+000.00e+0010.906Malignant cellsNA

CXCL8

ENSG000001694292.155190.00e+000.00e+000.8470.207Malignant cellsNA

TMSB4X

ENSG000002055422.11430.00e+000.00e+000.9970.809Malignant cellsNA

SCG5

ENSG000002776141.791020.00e+000.00e+000.7960.221Malignant cellsNA

NOP10

ENSG000001821171.748210.00e+000.00e+000.9980.795Malignant cellsNA

B2M

ENSG000002736861.686590.00e+000.00e+0010.988Malignant cellsNA

DYNLL1

ENSG000000889861.626250.00e+000.00e+000.9990.895Malignant cellsNA

H2AZ1

ENSG000001640321.608860.00e+000.00e+000.9970.869Malignant cellsNA

SRP14

ENSG000001403191.586310.00e+000.00e+0010.995Malignant cellsNA

HSPE1

ENSG000001155411.541920.00e+000.00e+000.9890.769Malignant cellsNA

UQCR10

ENSG000001840761.515270.00e+000.00e+000.990.736Malignant cellsNA

RBX1

ENSG000001003871.512740.00e+000.00e+000.9280.454Malignant cellsNA

MLLT11

ENSG000002131901.453330.00e+000.00e+000.8560.327Malignant cellsNA

TUBA1B

ENSG000001234161.436670.00e+000.00e+000.9990.848Malignant cellsNA

UBB

ENSG000001703151.432120.00e+000.00e+000.9980.907Malignant cellsNA

MGST1

ENSG000000083941.428120.00e+000.00e+000.910.536Malignant cellsNA

MGST3

ENSG000001431981.420740.00e+000.00e+000.8790.383Malignant cellsNA

CKS2

ENSG000001239751.410160.00e+000.00e+000.7330.27Malignant cellsNA

C4orf3

ENSG000001640961.408220.00e+000.00e+000.8350.323Malignant cellsNA

RPL41

ENSG000002291171.407230.00e+000.00e+0011Malignant cellsNA

NEDD8

ENSG000002852461.398110.00e+000.00e+000.9930.804Malignant cellsNA

CAV1

ENSG000001059741.383050.00e+000.00e+000.8110.316Malignant cellsNA

LINC01419

ENSG000002538981.378680.00e+000.00e+000.8990.59Malignant cellsNA

HSP90AA1

ENSG000000808241.35760.00e+000.00e+000.9640.82Malignant cellsNA

ATP5MC1

ENSG000001591991.354820.00e+000.00e+000.9790.729Malignant cellsNA

C19orf53

ENSG000001049791.35420.00e+000.00e+0010.985Malignant cellsNA

TPI1

ENSG000001116691.35390.00e+000.00e+0010.985Malignant cellsNA

MMP3

ENSG000001499681.350580.00e+000.00e+000.2730Malignant cellsNA

CALM2

ENSG000001439331.347310.00e+000.00e+000.9950.812Malignant cellsNA

ATP5MC3

ENSG000001545181.336920.00e+000.00e+000.9850.775Malignant cellsNA

PRDX1

ENSG000001174501.323290.00e+000.00e+000.9850.861Malignant cellsNA

CKS1B

ENSG000001732071.317710.00e+000.00e+000.9330.595Malignant cellsNA

NEAT1

ENSG000002455321.317130.00e+000.00e+000.9710.698Malignant cellsNA

DYNLT1

ENSG000001464251.31280.00e+000.00e+000.8860.462Malignant cellsNA

SPDL1

ENSG000000402751.303690.00e+000.00e+000.6580.156Malignant cellsNA

C15orf48

ENSG000001669201.302040.00e+000.00e+000.4160.065Malignant cellsNA

NDUFA4

ENSG000001890431.298410.00e+000.00e+0010.971Malignant cellsNA

SEC61G

ENSG000001324321.298040.00e+000.00e+000.9970.913Malignant cellsNA

MT1X

ENSG000001871931.293030.00e+000.00e+000.8190.391Malignant cellsNA

POMP

ENSG000001329631.275380.00e+000.00e+000.9930.848Malignant cellsNA

SUCNR1

ENSG000001988291.270160.00e+000.00e+000.4170Malignant cellsNA

ATP6V0E1

ENSG000001137321.263950.00e+000.00e+000.880.458Malignant cellsNA

AKR1B1

ENSG000000856621.257230.00e+000.00e+000.770.491Malignant cellsNA

MRPL51

ENSG000001116391.25680.00e+000.00e+000.9980.908Malignant cellsNA

OST4

ENSG000002284741.253720.00e+000.00e+0010.989Malignant cellsNA

TMEM158

ENSG000002499921.252340.00e+000.00e+000.5920.045Malignant 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."