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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: GSE131984_JQ1Pac

Dataset summary for GSE131984_JQ1Pac

Datast informationDatasetGSE131984_JQ1Pac
PMID32393766
Raw data ID/linkPRJNA545508
OrganismHomo sapiens
SourceSUM159 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Triple-negative breast cancer (TNBC)
RegimenJQ1 + paclitaxel
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number1704
Extract protocol10x genomics
Data processingCellRanger 2.1.0
Public datePublic on Apr 08, 2023
DescriptionThis dataset has 1 cell line with 2 sensitive pre-treatment samples and 1 resistant post-treatment sample.

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Drug summary for GSE131984_JQ1Pac

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"JQ1" is not included in the drug list.
"Paclitaxel"

DB01229

small moleculeTUBB1; BCL2; MAP4; MAP2; MAPT; NR1I2Q9H4B7; P10415; P27816; P11137; P10636; O75469

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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

JMJD6

ENSG00000070495-0.2765225.67e-148.73e-100.1710.331Malignant cellsNA

FXN

ENSG00000165060-0.2766835.45e-148.40e-100.3250.505Malignant cellsNA

RPS27L

ENSG00000185088-0.2770977.22e-181.11e-130.9830.997Malignant cellsNA

TNFRSF12A

ENSG00000006327-0.2771987.80e-171.20e-120.9660.993Malignant cellsNA

CHCHD2

ENSG00000106153-0.2772864.60e-347.10e-3011Malignant cellsNA

RRP15

ENSG00000067533-0.2774665.90e-139.10e-090.3230.494Malignant cellsNA

PYCR2

ENSG00000143811-0.2774661.74e-122.68e-080.2940.455Malignant cellsNA

SEC22C

ENSG00000093183-0.2774662.67e-134.12e-090.5510.696Malignant cellsNA

DUSP12

ENSG00000081721-0.2774661.74e-112.69e-070.3920.535Malignant cellsNA

RAP1B

ENSG00000127314-0.2779054.79e-127.38e-080.7250.822Malignant cellsNA

MAPKAP1

ENSG00000119487-0.2780611.88e-122.89e-080.5610.696Malignant cellsNA

AURKB

ENSG00000178999-0.2781346.63e-101.02e-050.3170.477Malignant cellsNA

TBCA

ENSG00000171530-0.2781518.93e-261.38e-2111Malignant cellsNA

ZNF330

ENSG00000109445-0.2782129.71e-141.50e-090.3930.558Malignant cellsNA

FAM195A

NA-0.2785582.89e-134.46e-090.8380.897Malignant cellsNA

SP100

ENSG00000067066-0.2786792.09e-113.23e-070.5320.674Malignant cellsNA

RRM1

ENSG00000167325-0.2787233.28e-095.06e-050.5180.624Malignant cellsNA

GMPPA

ENSG00000144591-0.2792393.90e-146.01e-100.2240.396Malignant cellsNA

NDUFB1

ENSG00000183648-0.2792497.34e-161.13e-110.9780.989Malignant cellsNA

IDI1

ENSG00000067064-0.2793879.33e-131.44e-080.4230.597Malignant cellsNA

CAP1

ENSG00000131236-0.279571.44e-132.22e-090.8520.904Malignant cellsNA

HTATIP2

ENSG00000109854-0.2796492.01e-123.10e-080.6070.73Malignant cellsNA

KLF4

ENSG00000136826-0.279851.33e-112.04e-070.3020.454Malignant cellsNA

RABEPK

ENSG00000136933-0.2799341.05e-141.62e-100.2940.472Malignant cellsNA

BYSL

ENSG00000112578-0.2799838.11e-151.25e-100.2630.444Malignant cellsNA

DAB2

ENSG00000153071-0.2801658.08e-141.24e-090.1960.365Malignant cellsNA

LYPLA1

ENSG00000120992-0.2804811.19e-151.83e-110.7710.86Malignant cellsNA

PUSL1

ENSG00000169972-0.2805293.97e-136.11e-090.3370.512Malignant cellsNA

CLN3.1

NA-0.2805596.80e-201.05e-150.0810.258Malignant cellsNA

METTL9

ENSG00000284548-0.2806763.18e-144.90e-100.8550.906Malignant cellsNA

ARF6

ENSG00000165527-0.280752.33e-123.59e-080.6950.801Malignant cellsNA

CETN2

ENSG00000147400-0.2807693.22e-104.96e-060.6140.705Malignant cellsNA

ASPHD1

ENSG00000174939-0.2808618.88e-161.37e-110.2440.441Malignant cellsNA

DUSP3

ENSG00000108861-0.281136.82e-131.05e-080.3860.554Malignant cellsNA

PUF60

ENSG00000274081-0.2812241.97e-123.03e-080.5940.725Malignant cellsNA

VOPP1

ENSG00000154978-0.2817284.67e-147.20e-100.3870.579Malignant cellsNA

MRPL27

ENSG00000108826-0.281893.44e-125.31e-080.9040.937Malignant cellsNA

RPS4X

ENSG00000198034-0.2820560.00e+004.20e-4511Malignant cellsNA

DNAJC7

ENSG00000168259-0.2825736.36e-129.80e-080.720.812Malignant cellsNA

FAM122B

NA-0.2829273.54e-145.46e-100.2070.371Malignant cellsNA

RAD23A

ENSG00000179262-0.2829949.44e-201.45e-150.9190.977Malignant cellsNA

CCDC51

ENSG00000164051-0.2830332.69e-164.14e-120.1760.358Malignant cellsNA

SLC39A7

ENSG00000229802-0.2833191.28e-111.97e-070.3890.54Malignant cellsNA

ACN9

NA-0.2836559.20e-121.42e-070.7050.796Malignant cellsNA

MRPL1

ENSG00000169288-0.2838672.74e-114.22e-070.40.551Malignant cellsNA

TEX264

ENSG00000164081-0.284328.56e-111.32e-060.6360.748Malignant cellsNA

YKT6

ENSG00000106636-0.2843492.87e-124.43e-080.5040.657Malignant cellsNA

RAC2

ENSG00000128340-0.2843744.80e-147.40e-100.7530.861Malignant cellsNA

CHAF1A

ENSG00000167670-0.2844751.60e-122.46e-080.3050.475Malignant cellsNA

MORF4L1

ENSG00000185787-0.2844942.86e-184.40e-140.970.99Malignant 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 Pathway3.30e-161.70e-15194978113423467Malignant cellsATG5,AURKA,BAX,BCAT1,BIRC5,CTSL,CDCP1,CDK4,CDKN1A,CERS2,CFLAR,CIAPIN1,DCTD,FADD,HMGA1,HMGB1,ID1,IFI27,IL6,ISG15,MAGEA6,MAGEA12,MCL1,MYC,PDGFRA,PPARG,SHC1,ST3GAL4,SOX4,SOX9,SPRY2,STMN1,TGFB1,PBK,TYMS,VOPP1,XIAP,SLC25A5,AIFM1,AKAP12,AR,ANXA1,ATG3,BAD,BAG1,BID,HSPA5,BRD7,CASP1,CAV2,CCNA2,CCNB1,CDK1,HSPD1,COL1A1,CRIM1,DKK1,EGR1,EIF3A,HSP90B1,EZH2,EZR,FN1,FTL,GAPDH,G6PD,GAS6,GRB2,GCLM,HAX1,HMGN5,HNRNPU,EIF4A3,EIF4E,NFKBIA,IL18,KLF4,RPS6KA3,LAMP2,LDHA,LRRFIP1,MTDH,MXD4,MAGEA3,MAPK3,MAP2K2,MYBL2,IKBKG,NQO1,PIK3R1,PDCD10,PGK1,AGPAT2,PLK1,POMP,PSMB5,RAP1B,HRAS,NRAS,RAB27A,RRM1,RND3,S100A11,SDHB,SIAH2,SMC4,SOD2,SRSF2,TPT1,TFAM,TMED3,TNFAIP3,YY1,UBE2C,AXL,WLS,ENO1,IDH3A,GNAS,CD33,ARAF,NPM1,IL7R,EIF4EBP1,IDI1,RCN1,RELB,SQLE,PMVK,EBP,NUPR1,TRIB3,WTAP,ACAT2
Irregularity in Drug Uptake and Drug Efflux8.20e-022.10e-01194937623467Malignant cellsSLC3A2,ABCF2,ABCE1,SLC7A5,TAP1,SLC7A11
Drug Inactivation by Structure Modification1.80e-013.00e-01194927423467Malignant cellsCES1,SOD2,CDA,NME1
Aberration of the Drug's Therapeutic Target4.70e-015.90e-01194990823467Malignant cellsCDK4,PDGFRA,AR,EZH2,MAP2K2,NPM1,COMT,AKR1B1
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0019494551723467Malignant cellsATG5,H2AFY,IL6,PPARG,SPRY2,TRIP6,TYMS,XIAP,PMAIP1,EZH2,GAPDH,MAPK3,SMC4,TIMP1,MALAT1,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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boxplot

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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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boxplot

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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
motiftransfac_pro__M059934.650.0734ZNF711 (directAnnotation). Malignant cells
motifhocomoco__FOXP1_HUMAN.H11MO.0.A4.350.0706FOXP1 (directAnnotation). Malignant cells
motifmetacluster_22.164.220.0692BACH2 (directAnnotation). Malignant cells
motifmetacluster_22.124.150.0686NFE2; NFE2L1 (directAnnotation). Malignant cells
motifmetacluster_22.254.070.0678NFE2L2 (directAnnotation). Malignant cells
motifmetacluster_22.133.970.0668MAFK (inferredBy_Orthology). Malignant cells
motifmetacluster_22.173.840.0655NFE2 (directAnnotation). Malignant cells
motifmetacluster_22.113.830.0655NFE2 (directAnnotation). Malignant cells
motifmetacluster_22.193.830.0654NFE2 (directAnnotation). Malignant cells
motifmetacluster_22.203.80.0651MAFG (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_HT7.250.0649ETS2 (directAnnotation). Malignant cells
motifmetacluster_191.36.860.0627EHF; 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_166.46.40.0601BCLAF1; 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
motifmetacluster_191.26.150.0587ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__FOXO1_ELK3_RCCGGAWGTKKW_CAP5.990.0577ELK3; FOXO1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP5.730.0563ETV5; HOXA2 (directAnnotation). Malignant cells
motifjaspar__MA1483.25.620.0557ELF2 (directAnnotation). Malignant cells
motifmetacluster_166.25.520.0551ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M048265.320.054EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr5.30.0538ELF1; MEIS1 (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

ETS2

taipale_tf_pairs__ETS2_RCCGGAAGTG_HTdownMalignant cellsNA

ETS2

metacluster_191.3downMalignant cellsNA

ETV4

metacluster_191.3downMalignant cellsNA

ETV4

metacluster_166.4downMalignant cellsNA

ETV4

metacluster_166.2downMalignant cellsNA

ETS2

metacluster_138.2downMalignant cellsNA

ETV4

metacluster_138.2downMalignant cellsNA

ETV4

hdpi__ETV4downMalignant cellsNA

ZNF385D

taipale_cyt_meth__ZNF385D_NCGTCGCGACGN_eDBD_methdownMalignant cellsNA

ETV4

taipale_tf_pairs__HOXB2_ETV4_ACCGGAAATGAN_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."