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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_VemTra

Dataset summary for GSE164897_VemTra

Datast informationDatasetGSE164897_VemTra
PMID34591417
Raw data ID/linkPRJNA692421
OrganismHomo sapiens
SourceA375 cell line
TissueCell line
Cancer type level1Melanoma
Cancer type level2B+E2:E57RAFV600E-mutant melanoma
Regimenvemurafenib + trametinib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 1
Cell number15718
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_VemTra

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Vemurafenib"

DB08881

small moleculeBRAFP15056
"Trametinib"

DB08911

small moleculeMAP2K1; MAP2K2Q02750; P36507

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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

NDUFB2

ENSG00000090266-1.036350.00e+000.00e+000.2960.887Malignant cellsNA

NAA10

ENSG00000102030-1.036810.00e+000.00e+000.1540.806Malignant cellsNA

SNHG25

ENSG00000266402-1.05090.00e+000.00e+000.0870.726Malignant cellsNA

NDUFB10

ENSG00000140990-1.05570.00e+000.00e+000.3960.92Malignant cellsNA

TIMM13

ENSG00000099800-1.060490.00e+000.00e+000.060.748Malignant cellsNA

PDCD5

ENSG00000105185-1.064710.00e+000.00e+000.1560.802Malignant cellsNA

SLC25A3

ENSG00000075415-1.069790.00e+000.00e+000.5520.973Malignant cellsNA

MTHFD2

ENSG00000065911-1.071730.00e+000.00e+000.090.695Malignant cellsNA

TSPO

ENSG00000100300-1.073810.00e+000.00e+000.1760.832Malignant cellsNA

APRT

ENSG00000198931-1.076680.00e+000.00e+000.1810.84Malignant cellsNA

ANP32B

ENSG00000136938-1.077190.00e+000.00e+000.1580.794Malignant cellsNA

NDUFA11

ENSG00000174886-1.078520.00e+000.00e+000.1330.822Malignant cellsNA

C12orf57

ENSG00000111678-1.079840.00e+000.00e+000.1650.812Malignant cellsNA

TUFM

ENSG00000178952-1.081740.00e+000.00e+000.2510.872Malignant cellsNA

MRPS34

ENSG00000074071-1.082810.00e+000.00e+000.0640.754Malignant cellsNA

COPE

ENSG00000105669-1.085650.00e+000.00e+000.0860.777Malignant cellsNA

CMTM7

ENSG00000153551-1.087390.00e+000.00e+000.0490.71Malignant cellsNA

LY6E

ENSG00000278032-1.0910.00e+000.00e+000.1130.787Malignant cellsNA

EMP3

ENSG00000142227-1.092930.00e+000.00e+000.0760.727Malignant cellsNA

RANBP1

ENSG00000099901-1.092980.00e+000.00e+000.0930.726Malignant cellsNA

EDF1

ENSG00000107223-1.095010.00e+000.00e+000.2560.892Malignant cellsNA

NDUFAB1

ENSG00000004779-1.095740.00e+000.00e+000.1220.804Malignant cellsNA

RPL27A

ENSG00000166441-1.095930.00e+000.00e+000.9951Malignant cellsNA

FIBP

ENSG00000172500-1.100760.00e+000.00e+000.1720.843Malignant cellsNA

GUK1

ENSG00000143774-1.103330.00e+000.00e+000.2620.891Malignant cellsNA

ETFB

ENSG00000105379-1.114970.00e+000.00e+000.1410.796Malignant cellsNA

FXYD5

ENSG00000089327-1.115420.00e+000.00e+000.1280.805Malignant cellsNA

ADRM1

ENSG00000130706-1.116140.00e+000.00e+000.0810.774Malignant cellsNA

NDUFA3

ENSG00000276061-1.125560.00e+000.00e+000.120.818Malignant cellsNA

PRELID1

ENSG00000169230-1.130560.00e+000.00e+000.3910.936Malignant cellsNA

CYC1

ENSG00000179091-1.133010.00e+000.00e+000.2090.869Malignant cellsNA

DSTN

ENSG00000125868-1.13410.00e+000.00e+000.5180.97Malignant cellsNA

C19orf48

ENSG00000167747-1.142180.00e+000.00e+000.0220.673Malignant cellsNA

GPX4

ENSG00000167468-1.148730.00e+000.00e+000.1450.829Malignant cellsNA

MT-ND3

ENSG00000198840-1.154470.00e+000.00e+000.9630.998Malignant cellsNA

TIMP1

ENSG00000102265-1.154490.00e+000.00e+000.6010.854Malignant cellsNA

NOP53

ENSG00000105373-1.160110.00e+000.00e+000.1040.827Malignant cellsNA

DRAP1

ENSG00000175550-1.162670.00e+000.00e+000.0530.773Malignant cellsNA

ATP5ME

ENSG00000169020-1.170120.00e+000.00e+000.9571Malignant cellsNA

INHBA

ENSG00000122641-1.171090.00e+000.00e+000.1080.656Malignant cellsNA

NDUFB11

ENSG00000147123-1.174190.00e+000.00e+000.1820.877Malignant cellsNA

RBMX

ENSG00000147274-1.191240.00e+000.00e+000.2480.88Malignant cellsNA

NAA38

ENSG00000183011-1.191630.00e+000.00e+000.2370.879Malignant cellsNA

SERBP1

ENSG00000142864-1.192820.00e+000.00e+000.4030.941Malignant cellsNA

CYBA

ENSG00000051523-1.204130.00e+000.00e+000.0740.77Malignant cellsNA

MRPL41

ENSG00000182154-1.236910.00e+000.00e+000.1480.874Malignant cellsNA

MICOS13

ENSG00000174917-1.260770.00e+000.00e+000.0930.846Malignant cellsNA

HES1

ENSG00000114315-1.261740.00e+000.00e+000.1940.712Malignant cellsNA

RPS27

ENSG00000177954-1.278830.00e+000.00e+0011Malignant cellsNA

ARPC1B

ENSG00000130429-1.282350.00e+000.00e+000.1790.851Malignant 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
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway3.90e-062.00e-0514807818223467Malignant cellsBAX,CDK4,CTNNB1,DNMT1,DUSP6,GSTP1,HMGA1,HMGA2,HMGB1,PKM,MAP1LC3B,NFKB1,PARP1,RHOA,S100A4,SHC1,ST3GAL4,SOX4,STMN1,SLC25A5,AKAP12,ALDH1A3,ATG3,BAD,BID,BRD4,CCND1,CD44,HSPD1,CLTC,CAPNS1,DDIT3,EIF3A,HSP90B1,ERCC1,FTL,FUS,GAPDH,NR3C1,HSPA8,HSPB1,EIF4A1,IL24,KDM5B,LDHA,MTDH,MAGEA3,NQO1,PGK1,AGPAT2,POMP,PRKDC,PSMB5,PSMG2,RAC1,RAP1B,ERBB3,RRM2,HNRNPA1,SDHB,SMC4,SRI,SOX10,SRSF2,STAT3,TGFA,TGFB2,TMED3,TMEM54,TOP1,UBE2C,YBX1,ENO1,MAGEA4,GNAS,CALR,NPM1,EIF4EBP1,PPP3CA,PMVK,TRIB3,BIRC2
Drug Inactivation by Structure Modification2.40e-016.00e-01148027323467Malignant cellsGSTP1,GSS,NME1
Irregularity in Drug Uptake and Drug Efflux6.90e-011.00e+00148037223467Malignant cellsSLC3A2,SLC7A5
Aberration of the Drug's Therapeutic Target8.30e-011.00e+00148090423467Malignant cellsCDK4,NPM1,COMT,TOP2A
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0014804551323467Malignant cellsDNMT1,EIF4G2,LMNA,TRIP6,PMAIP1,GAPDH,SMC4,TIMP1,MALAT1,GDI2,PPP1R15A,MT-CO2,NORAD


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
motifhdpi__TP735.090.0783TP73 (directAnnotation). Malignant cells
motifmetacluster_141.44.770.0751GLIS2 (directAnnotation). Malignant cells
motifswissregulon__hs__ETV64.220.0695ETV6 (directAnnotation). Malignant cells
motifhocomoco__TYY2_HUMAN.H11MO.0.D4.110.0683YY2 (directAnnotation). Malignant cells
motiftransfac_pro__M061354.070.068ZNF28 (directAnnotation). Malignant cells
motifmetacluster_141.64.010.0673MZF1; TAF1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY2; YY2; ZFP42; ZFP42; ZFP42; ZFP42; ZFP42; ZFP42; ZNF597 (directAnnotation). TAF1; TAF1L (inferredBy_Orthology). Malignant cells
motifflyfactorsurvey__pho_SOLEXA_F1-33.810.0653YY1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP3.540.0626ETV5; HOXA2 (directAnnotation). Malignant cells
motifmetacluster_155.33.470.0619PLAG1 (directAnnotation). PLAG1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ELK1_TEF_NSCGGAWNTTACGTAAN_CAP3.270.0598ELK1; TEF (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT8.660.0737ETS2 (directAnnotation). Malignant cells
motiftransfac_pro__M048267.510.0667EP300 (directAnnotation). Malignant cells
motifjaspar__MA1483.26.570.061ELF2 (directAnnotation). Malignant cells
motifhdpi__FLI16.320.0595FLI1 (directAnnotation). Malignant cells
motifmetacluster_191.36.250.0591EHF; 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
motifmetacluster_191.26.150.0584ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_166.25.860.0567ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ELF2_NATGCGGAAGTR_HT5.760.0561ELF2 (directAnnotation). Malignant cells
motifmetacluster_166.45.730.0559BCLAF1; 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
motifjaspar__MA1933.15.610.0551SREBF2 (directAnnotation). 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

ETV4

metacluster_191.3downMalignant cellsNA

ETV4

metacluster_166.2downMalignant cellsNA

ETV4

metacluster_166.4downMalignant cellsNA

ETV4

taipale_tf_pairs__HOXB2_ETV4_ACCGGAAATGAN_CAPdownMalignant cellsNA

ETV4

hdpi__ETV4downMalignant cellsNA

ETV4

taipale_tf_pairs__FOXO1_ETV4_RCCGGAWGTKKN_CAPdownMalignant cellsNA

ETV4

metacluster_138.2downMalignant cellsNA

ETV4

taipale_tf_pairs__HOXB2_ETV4_ACCGGAAATGAN_CAPdownMalignant cellsNA

ETV4

taipale_tf_pairs__GCM1_ETV4_RTGCGGGCGGAAGTR_CAPdownMalignant 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."