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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_Pal

Dataset summary for GSE131984_Pal

Datast informationDatasetGSE131984_Pal
PMID32393766
Raw data ID/linkPRJNA545508
OrganismHomo sapiens
SourceSUM159 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Triple-negative breast cancer (TNBC)
Regimenpalbociclib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number1754
Extract protocol10x genomics
Data processingCellRanger 2.1.0
Public datePublic on Apr 08, 2022
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_Pal

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Palbociclib"

DB09073

small moleculeCDK4; CDK6P11802; Q00534

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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

CAP1

ENSG00000131236-0.2691064.25e-136.72e-090.8790.907Malignant cellsNA

FANCB

ENSG00000181544-0.2691781.46e-132.30e-090.1850.343Malignant cellsNA

EIF2B3

ENSG00000070785-0.2692021.93e-133.06e-090.2670.439Malignant cellsNA

MPV17L2

ENSG00000254858-0.269329.26e-141.46e-090.2030.362Malignant cellsNA

LINC00116

NA-0.2694896.08e-139.61e-090.9050.927Malignant cellsNA

TMEM9B

ENSG00000175348-0.2695268.85e-111.40e-060.4890.629Malignant cellsNA

AIMP1

ENSG00000164022-0.2696495.59e-108.83e-060.7240.783Malignant cellsNA

DYNLT3

ENSG00000165169-0.2697971.42e-112.25e-070.5180.664Malignant cellsNA

LAS1L

ENSG00000001497-0.2698481.51e-112.39e-070.3330.484Malignant cellsNA

BOD1

ENSG00000145919-0.2699141.92e-103.04e-060.6830.777Malignant cellsNA

WBSCR27

NA-0.27064.12e-116.52e-070.3680.517Malignant cellsNA

GPX1

ENSG00000233276-0.2706464.34e-206.86e-160.9991Malignant cellsNA

GIPC1

ENSG00000123159-0.2708365.25e-118.29e-070.5710.686Malignant cellsNA

MCAT

ENSG00000100294-0.2708723.40e-155.37e-110.2810.459Malignant cellsNA

ASNA1

NA-0.2709571.15e-111.82e-070.6980.804Malignant cellsNA

BCKDK

ENSG00000103507-0.2711822.91e-134.59e-090.7520.846Malignant cellsNA

C12orf29

ENSG00000133641-0.2711849.49e-121.50e-070.3750.524Malignant cellsNA

STX10

ENSG00000104915-0.2712131.65e-112.61e-070.730.819Malignant cellsNA

SRSF11

ENSG00000116754-0.2712227.88e-131.25e-080.8170.895Malignant cellsNA

FADD

ENSG00000168040-0.2715663.48e-135.51e-090.3640.519Malignant cellsNA

SKA2

ENSG00000182628-0.2716128.26e-111.31e-060.7390.827Malignant cellsNA

DNAJA2

ENSG00000069345-0.2717541.80e-102.85e-060.5280.648Malignant cellsNA

CENPN

ENSG00000166451-0.2720414.93e-137.79e-090.6880.81Malignant cellsNA

TALDO1

ENSG00000177156-0.2721788.64e-141.37e-090.9550.97Malignant cellsNA

BCL2L12

ENSG00000126453-0.2727571.48e-112.34e-070.6840.774Malignant cellsNA

TMEM242

ENSG00000215712-0.2729892.72e-134.31e-090.3330.5Malignant cellsNA

ARHGAP18

ENSG00000146376-0.2732965.19e-108.21e-060.6840.762Malignant cellsNA

MAD2L2

ENSG00000116670-0.2733862.10e-133.32e-090.8770.926Malignant cellsNA

FKBP3

ENSG00000100442-0.2735021.10e-111.75e-070.7860.841Malignant cellsNA

HAUS2

ENSG00000137814-0.2737651.27e-132.01e-090.2550.418Malignant cellsNA

ATP5G3

NA-0.2738711.18e-251.86e-2111Malignant cellsNA

PFN1

ENSG00000108518-0.2742481.20e-231.89e-1911Malignant cellsNA

ABT1

ENSG00000146109-0.274281.65e-132.61e-090.3820.555Malignant cellsNA

LMNB1

ENSG00000113368-0.2744385.97e-159.44e-110.1830.354Malignant cellsNA

HIST1H1E

NA-0.2747562.72e-124.30e-080.1410.277Malignant cellsNA

PSMA7

ENSG00000101182-0.2747761.13e-241.79e-2011Malignant cellsNA

RSRC1

ENSG00000174891-0.274999.17e-121.45e-070.6060.729Malignant cellsNA

SNHG10

ENSG00000247092-0.2752271.10e-101.74e-060.3250.467Malignant cellsNA

ERO1L

NA-0.2753371.26e-122.00e-080.5270.669Malignant cellsNA

TEX264

ENSG00000164081-0.2754877.77e-111.23e-060.6540.752Malignant cellsNA

PPP1CC

ENSG00000186298-0.2755845.07e-178.01e-130.9450.972Malignant cellsNA

CTDNEP1

ENSG00000288307-0.2755977.16e-141.13e-090.8560.894Malignant cellsNA

HMGN5

ENSG00000198157-0.2759064.08e-116.45e-070.5190.666Malignant cellsNA

JAGN1

ENSG00000171135-0.2759534.01e-116.35e-070.7680.828Malignant cellsNA

CINP

ENSG00000100865-0.2759822.48e-113.91e-070.530.654Malignant cellsNA

S100A4

ENSG00000196154-0.2759861.82e-122.87e-080.9990.997Malignant cellsNA

COMMD8

ENSG00000169019-0.2764791.03e-111.63e-070.5180.647Malignant cellsNA

ZNF259

NA-0.2766311.19e-121.89e-080.5440.68Malignant cellsNA

RPP40

ENSG00000124787-0.2768661.01e-111.60e-070.2480.394Malignant cellsNA

UGP2

ENSG00000169764-0.2769281.02e-111.62e-070.5450.674Malignant 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 Pathway1.10e-165.60e-16157078111723467Malignant cellsABL1,ANXA2,ATG5,AURKA,BAX,BIRC5,CDK4,CIAPIN1,DNMT1,DUSP6,EPAS1,FADD,HIF1A,HMGA1,HMGB1,IL6,PKM,MCL1,MEF2D,MUC1,MYC,PARP1,PDGFRA,RHOA,S100A4,SHC1,STMN1,TGFBR2,PBK,TYMS,VEGFA,SLC25A5,AIFM1,AKAP12,ANXA1,ATG3,BAG1,HSPA5,BRD7,CAV2,CCNA2,CCNB1,CDK1,CCND1,CCNG2,CD44,HSPD1,COL1A1,CSF1,DKK1,DUSP1,DUSP2,EGR1,HSP90B1,ERRFI1,EZH2,EZR,FN1,FOXO3,FUS,GRB2,GCLM,HAX1,HIPK2,HMGB2,HMGN5,HSPA8,EIF4A3,EIF4E,NFKBIA,ITGA5,ITGB1,LDHA,LRRFIP1,MTDH,MXD4,MAGEA3,MYBL2,PIK3R1,PDCD10,PDCD4,PGK1,AGPAT2,PLK1,POMP,PSMB5,RAC1,RAP1B,HRAS,RRM1,RRM2,S100A11,SDHB,SMC4,SOD2,SRSF2,STAT3,TFAM,TNFAIP3,UBE2C,USP22,ZKSCAN1,ENO1,FASN,IDH3A,GNAS,NPM1,CEBPD,EIF4EBP1,IDI1,INSIG1,SQLE,PMVK,EBP,TRIB3,APP,ACAT2
Drug Inactivation by Structure Modification2.70e-016.70e-01157027323467Malignant cellsSOD2,CDA,NME1
Irregularity in Drug Uptake and Drug Efflux4.50e-017.00e-01157037323467Malignant cellsSLC3A2,ABCA1,ABCE1
Aberration of the Drug's Therapeutic Target5.60e-017.00e-01157090623467Malignant cellsABL1,CDK4,PDGFRA,EZH2,NPM1,MAOA
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0015704551723467Malignant cellsABL1,ATG5,DNMT1,H2AFY,IL6,LMNA,TYMS,PMAIP1,EZH2,FOXO3,PDCD4,SMC4,MALAT1,GDI2,PPP1R15A,MT-CO2,NABP1


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
motifcisbp__M001613.980.0839FOXJ1 (inferredBy_Orthology). Malignant cells
motifmetacluster_26.73.690.0808MYNN; MYNN (directAnnotation). Malignant cells
motiftransfac_pro__M072603.630.0801IKZF1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__HOXB13_ONECUT2_NNNRTAAAWATYGAYY_CAP3.590.0796HOXB13; ONECUT2 (directAnnotation). Malignant cells
motiftransfac_pro__M054623.520.0789ZNF581 (directAnnotation). Malignant cells
motiftransfac_pro__M018353.450.0781KLF4 (directAnnotation). Malignant cells
motifjaspar__MA1125.13.420.0778ZNF384 (directAnnotation). Malignant cells
motifmetacluster_134.73.40.0775FOXD2; FOXG1; FOXI1; FOXJ2; FOXJ2; FOXJ3; FOXJ3; FOXK1; FOXK1; FOXK2; FOXO4; FOXO6; FOXP2 (directAnnotation). FOXC1; FOXO1; FOXO6 (inferredBy_Orthology). Malignant cells
motifmetacluster_127.23.350.077FOXA1; FOXA2; FOXA3; FOXC1; FOXC1; FOXC2; FOXD1; FOXD1; FOXF2; FOXF2; FOXJ1; FOXK2; FOXK2; FOXO6; FOXP1; FOXP1; FOXP1; FOXP1 (directAnnotation). FOXD2; FOXF1; FOXL3; FOXO1; FOXO3 (inferredBy_Orthology). Malignant cells
motifkznf__ZNF613_Imbeault2017_RP_RCADE3.340.0769ZNF613 (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_HT7.550.0658ETS2 (directAnnotation). Malignant cells
motifmetacluster_191.36.550.06EHF; 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
motiftransfac_pro__M048266.350.0589EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP6.10.0574ETV5; HOXA2 (directAnnotation). Malignant cells
motifmetacluster_166.46.010.0569BCLAF1; 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_191.25.960.0566ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ELK1_HOXA1_RCCGGAAGTAATTA_HT5.550.0542ELK1; HOXA1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr5.510.054ELF1; MEIS1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__FOXO1_ELK3_RCCGGAWGTKKW_CAP5.50.0539ELK3; FOXO1 (directAnnotation). Malignant cells
motifmetacluster_166.25.360.0531ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). 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

ETV1

metacluster_191.3upMalignant cellsNA

ETV1

metacluster_166.4upMalignant cellsNA

ETV1

metacluster_166.2upMalignant cellsNA

FOS

metacluster_174.2upMalignant cellsNA

ETV1

metacluster_138.2upMalignant cellsNA

ETV1

taipale_tf_pairs__HOXB2_ETV1_ACCGGAAATGA_CAPupMalignant cellsNA

ETV1

taipale_tf_pairs__TEAD4_ETV1_RSCGGAAATRCM_CAPupMalignant cellsNA

EGR1

metacluster_55.3upMalignant cellsNA

EGR1

metacluster_34.3upMalignant cellsNA

ZNF581

transfac_pro__M05462upMalignant 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."