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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

RPL36AL

ENSG000001655021.252290.00e+000.00e+000.9950.859Malignant cellsNA

DAD1

ENSG000001295621.239790.00e+000.00e+000.8350.396Malignant cellsNA

COX17

ENSG000001384951.235560.00e+000.00e+000.9930.853Malignant cellsNA

HMGB1

ENSG000001894031.208310.00e+000.00e+000.9910.847Malignant cellsNA

SNRPG

ENSG000001439771.207980.00e+000.00e+000.9990.936Malignant cellsNA

COX6C

ENSG000001649191.193520.00e+000.00e+000.9960.907Malignant cellsNA

ARL4C

ENSG000001880421.189910.00e+000.00e+000.5310.054Malignant cellsNA

TGFBI

ENSG000001207081.178280.00e+000.00e+000.9220.605Malignant cellsNA

DBI

ENSG000001553681.170150.00e+000.00e+000.8960.555Malignant cellsNA

MICOS10

ENSG000001734361.161390.00e+000.00e+000.9390.676Malignant cellsNA

PCBP1

ENSG000001695641.158360.00e+000.00e+000.8440.459Malignant cellsNA

SEM1

ENSG000001279221.15410.00e+000.00e+000.9950.886Malignant cellsNA

RPL26L1

ENSG000000372411.143520.00e+000.00e+000.8570.494Malignant cellsNA

MAGEA4

ENSG000001473811.139440.00e+000.00e+000.9730.763Malignant cellsNA

PSMB1

ENSG000002811841.136840.00e+000.00e+000.9770.833Malignant cellsNA

IFITM2

ENSG000001852011.105910.00e+000.00e+000.6090.271Malignant cellsNA

SF3B6

ENSG000001151281.10340.00e+000.00e+000.9770.799Malignant cellsNA

SUMO2

ENSG000001886121.103230.00e+000.00e+000.9930.892Malignant cellsNA

PSMB3

ENSG000002759031.102790.00e+000.00e+000.9660.788Malignant cellsNA

LAMTOR5

ENSG000001342481.102560.00e+000.00e+000.9520.706Malignant cellsNA

PSMB5

ENSG000001008041.099050.00e+000.00e+000.970.789Malignant cellsNA

SERF2

ENSG000001402641.097930.00e+000.00e+0010.998Malignant cellsNA

COX7A2

ENSG000001126951.097190.00e+000.00e+0010.993Malignant cellsNA

RPL22L1

ENSG000001635841.094120.00e+000.00e+000.9730.801Malignant cellsNA

RPA3

ENSG000001063991.088510.00e+000.00e+000.8480.496Malignant cellsNA

CKLF

ENSG000002175551.080850.00e+000.00e+000.8480.517Malignant cellsNA

COX6B1

ENSG000001262671.075180.00e+000.00e+0010.973Malignant cellsNA

TMSB10

ENSG000000345101.07390.00e+000.00e+0011Malignant cellsNA

BRK1

ENSG000002549991.057780.00e+000.00e+000.9810.82Malignant cellsNA

TXNDC17

ENSG000001292351.04640.00e+000.00e+000.9720.817Malignant cellsNA

UQCC2

ENSG000001372881.027760.00e+000.00e+000.7690.442Malignant cellsNA

ATP5MF

ENSG000002414681.024060.00e+000.00e+000.9960.928Malignant cellsNA

RPS20

ENSG000000089881.01860.00e+000.00e+0011Malignant cellsNA

TRAPPC4

ENSG000002804951.018090.00e+000.00e+000.730.377Malignant cellsNA

TUBA1A

ENSG000001675521.013930.00e+000.00e+000.5690.222Malignant cellsNA

HLA-B

ENSG000002064501.011220.00e+000.00e+000.8120.471Malignant cellsNA

SOX4

ENSG000001247661.010630.00e+000.00e+000.5520.205Malignant cellsNA

CNIH4

ENSG000001437710.9949210.00e+000.00e+000.8790.646Malignant cellsNA

TRMT112

ENSG000001731130.9945780.00e+000.00e+000.9980.966Malignant cellsNA

SKP1

ENSG000001135580.9899340.00e+000.00e+000.9690.857Malignant cellsNA

SUB1

ENSG000001133870.9842360.00e+000.00e+000.9590.784Malignant cellsNA

UBL5

ENSG000001982580.9758720.00e+000.00e+0010.992Malignant cellsNA

H4C3

ENSG000001970610.9695860.00e+000.00e+000.9990.971Malignant cellsNA

PTTG1

ENSG000001646110.9658160.00e+000.00e+000.7970.484Malignant cellsNA

MALAT1

ENSG000002515620.96440.00e+000.00e+0011Malignant cellsNA

TOMM7

ENSG000001966830.9617590.00e+000.00e+0010.999Malignant cellsNA

NDUFB4

ENSG000000655180.9601290.00e+000.00e+000.9460.768Malignant cellsNA

MEIS2

ENSG000001341380.9585690.00e+000.00e+000.4870.069Malignant cellsNA

PSMB6

ENSG000001425070.9581240.00e+000.00e+000.9530.774Malignant cellsNA

PGK1

ENSG000001021440.9436130.00e+000.00e+000.9320.71Malignant 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."