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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

CSNK1E

ENSG000002139230.2903244.80e-137.58e-090.7590.624Malignant cellsNA

MUC1

ENSG000001854990.2901055.10e-238.06e-190.2770.1Malignant cellsNA

SVIL

ENSG000001973210.2899865.77e-119.12e-070.590.468Malignant cellsNA

PHLDB1

ENSG000000191440.2895476.29e-189.94e-140.3770.196Malignant cellsNA

AMOTL2

ENSG000001140190.2880141.12e-151.77e-110.3910.223Malignant cellsNA

FLNA

ENSG000001969240.2879842.78e-114.40e-070.980.953Malignant cellsNA

ZBTB38

ENSG000001773110.2873954.98e-127.87e-080.5540.411Malignant cellsNA

VMP1

ENSG000000627160.286914.31e-086.81e-040.7010.59Malignant cellsNA

FHL1

ENSG000000222670.2860825.10e-138.05e-090.440.271Malignant cellsNA

FAM120A

ENSG000000488280.2855571.36e-122.15e-080.7110.584Malignant cellsNA

ATP6V1A

ENSG000001145730.2851653.02e-134.78e-090.4720.32Malignant cellsNA

VAT1

ENSG000001088280.284485.04e-127.97e-080.730.607Malignant cellsNA

BEST1

ENSG000001679950.2843191.69e-162.67e-120.440.259Malignant cellsNA

FBXO25

ENSG000001473640.2842511.08e-201.70e-160.3320.143Malignant cellsNA

C1RL

ENSG000002881240.283871.65e-212.60e-170.3060.125Malignant cellsNA

RAB31

ENSG000001684610.2833772.57e-134.07e-090.9020.799Malignant cellsNA

RPS11

ENSG000001425340.282270.00e+000.00e+0011Malignant cellsNA

BCL3

ENSG000000693990.2823.31e-165.23e-120.4140.237Malignant cellsNA

CRIP2

ENSG000001828090.2811131.24e-121.95e-080.4240.267Malignant cellsNA

ACSL1

ENSG000001517260.2809784.18e-096.61e-050.5870.473Malignant cellsNA

ZCCHC24

ENSG000001654240.2803252.33e-203.68e-160.3540.162Malignant cellsNA

RXRA

ENSG000001863500.2799424.01e-166.34e-120.4260.25Malignant cellsNA

PTPRE

ENSG000001323340.2792982.72e-154.31e-110.4630.287Malignant cellsNA

SLFN5

ENSG000001667500.2770053.46e-185.46e-140.3870.199Malignant cellsNA

RHOBTB3

ENSG000001642920.2768311.06e-111.68e-070.8370.735Malignant cellsNA

ARRDC3

ENSG000001133690.2752794.59e-147.25e-100.4270.261Malignant cellsNA

PDLIM2

ENSG000001209130.2740763.66e-115.78e-070.9210.841Malignant cellsNA

CLIC4

ENSG000001695040.2738124.16e-106.57e-060.7010.607Malignant cellsNA

RIPK4

ENSG000001834210.2726188.01e-171.27e-120.3170.154Malignant cellsNA

EVA1B

ENSG000001426940.2723183.17e-125.02e-080.6360.493Malignant cellsNA

YPEL3

ENSG000000902380.272196.98e-211.10e-160.2940.117Malignant cellsNA

ITGA5

ENSG000001616380.2716723.24e-095.12e-050.7070.58Malignant cellsNA

F3

ENSG000001175250.2716411.58e-092.50e-050.8370.747Malignant cellsNA

SMARCD3

ENSG000000820140.2707231.71e-182.70e-140.3150.145Malignant cellsNA

SNORA76

NA0.2705291.94e-073.07e-030.8930.84Malignant cellsNA

PDE4DIP

ENSG000001781040.2691369.84e-151.56e-100.4210.254Malignant cellsNA

DNAJC4

ENSG000001100110.2690257.36e-151.16e-100.420.254Malignant cellsNA

STC1

ENSG000001591670.2689691.79e-132.83e-090.460.285Malignant cellsNA

SPRY4

ENSG000001876780.2686772.86e-154.52e-110.3480.187Malignant cellsNA

ZFP36L1

ENSG000001856500.2684261.69e-102.67e-060.9390.879Malignant cellsNA

CCND1

ENSG000001100920.267816.79e-121.07e-070.9680.937Malignant cellsNA

PCBP3

ENSG000001835700.2672912.11e-143.33e-100.3350.184Malignant cellsNA

RPS21

ENSG000001718580.2671853.27e-345.16e-3011Malignant cellsNA

CTGF

NA0.2668271.70e-122.68e-080.7010.549Malignant cellsNA

TXNIP

ENSG000002659720.2664792.57e-094.06e-050.3410.22Malignant cellsNA

APLP2

ENSG000000842340.2658596.11e-099.66e-050.7390.646Malignant cellsNA

ETV1

ENSG000000064680.2645013.63e-105.73e-060.4850.358Malignant cellsNA

DDAH1

ENSG000001539040.2643325.38e-088.50e-040.4370.326Malignant cellsNA

MIR24-2

ENSG000002881260.26432.67e-104.21e-060.3970.262Malignant cellsNA

ITGB5

ENSG000000827810.2636027.27e-091.15e-040.5370.42Malignant 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 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."