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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: GSE163836

Dataset summary for GSE163836

Datast informationDatasetGSE163836
PMID36409824
Raw data ID/linkPRJNA685991
OrganismHomo sapiens
SourceFCIBC02 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Inflammatory breast cancer
Regimenpaclitaxel
Drug typeChemotherapy
Sample sizeresistant 1, sensitive 1
Cell number7358
Extract protocol10x genomics
Data processingCellRanger
Public datePublic on Nov 02, 2022
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 GSE163836

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"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

AURKB

ENSG00000178999-0.4754780.00e+000.00e+000.1810.394Malignant cellsNA

PSMB1

ENSG00000281184-0.4758650.00e+000.00e+000.9440.981Malignant cellsNA

CCT7

ENSG00000135624-0.4769430.00e+000.00e+000.7620.902Malignant cellsNA

PSMB3

ENSG00000275903-0.4770470.00e+000.00e+000.9470.987Malignant cellsNA

AURKAIP1

ENSG00000175756-0.4777830.00e+000.00e+000.9830.996Malignant cellsNA

UCHL3

ENSG00000118939-0.4782250.00e+000.00e+000.3470.672Malignant cellsNA

MARCKSL1

ENSG00000175130-0.4786610.00e+000.00e+000.9140.978Malignant cellsNA

RHBDD2

ENSG00000005486-0.4786710.00e+000.00e+000.2450.57Malignant cellsNA

E2F1

ENSG00000101412-0.4792150.00e+000.00e+000.2830.51Malignant cellsNA

RSU1

ENSG00000148484-0.4797090.00e+000.00e+000.2440.569Malignant cellsNA

ITGAE

ENSG00000083457-0.4801180.00e+000.00e+000.3220.632Malignant cellsNA

CDCA4

ENSG00000170779-0.480490.00e+000.00e+000.2630.547Malignant cellsNA

HNRNPDL

ENSG00000152795-0.4807910.00e+000.00e+000.8930.968Malignant cellsNA

MAF1

ENSG00000179632-0.4809350.00e+000.00e+000.8630.961Malignant cellsNA

RAB5C

ENSG00000108774-0.4820250.00e+000.00e+000.630.878Malignant cellsNA

EIF4A1

ENSG00000161960-0.4822830.00e+000.00e+000.9580.972Malignant cellsNA

DGCR6L

ENSG00000128185-0.4831980.00e+000.00e+000.320.638Malignant cellsNA

DPY30

ENSG00000162961-0.4835020.00e+000.00e+000.7590.926Malignant cellsNA

CCDC109B

NA-0.4841930.00e+000.00e+000.1690.496Malignant cellsNA

PPT1

ENSG00000131238-0.484890.00e+000.00e+000.4380.708Malignant cellsNA

WHSC1L1

NA-0.4851310.00e+000.00e+000.5850.832Malignant cellsNA

GID8

ENSG00000101193-0.4853510.00e+000.00e+000.3020.637Malignant cellsNA

PACSIN3

ENSG00000165912-0.4859760.00e+000.00e+000.3620.681Malignant cellsNA

UBE2T

ENSG00000077152-0.4863420.00e+000.00e+000.5620.762Malignant cellsNA

CHCHD6

ENSG00000159685-0.4869110.00e+000.00e+000.1640.495Malignant cellsNA

RAB10

ENSG00000084733-0.4876230.00e+000.00e+000.6040.863Malignant cellsNA

COX4I1

ENSG00000131143-0.4879780.00e+000.00e+000.9980.999Malignant cellsNA

NDUFAF3

ENSG00000178057-0.4880020.00e+000.00e+000.7360.92Malignant cellsNA

TFDP1

ENSG00000198176-0.488270.00e+000.00e+000.3110.617Malignant cellsNA

CNPY2

ENSG00000257727-0.4892040.00e+000.00e+000.560.825Malignant cellsNA

CREM

ENSG00000095794-0.4903380.00e+000.00e+000.3140.628Malignant cellsNA

EIF4H

ENSG00000106682-0.4904760.00e+000.00e+000.4270.725Malignant cellsNA

TSSC1

NA-0.4905260.00e+000.00e+000.2120.557Malignant cellsNA

C6orf15

ENSG00000206461-0.4909320.00e+000.00e+000.0880.403Malignant cellsNA

APRT

ENSG00000198931-0.4909540.00e+000.00e+000.9990.999Malignant cellsNA

TMEM179B

ENSG00000185475-0.4915430.00e+000.00e+000.7590.935Malignant cellsNA

FUOM

ENSG00000148803-0.4917890.00e+000.00e+000.3750.687Malignant cellsNA

DUSP23

ENSG00000158716-0.4924140.00e+000.00e+000.6050.847Malignant cellsNA

POP1

ENSG00000104356-0.4924730.00e+000.00e+000.210.544Malignant cellsNA

MRPL14

ENSG00000180992-0.4933240.00e+000.00e+000.8450.96Malignant cellsNA

CERS2

ENSG00000143418-0.4934490.00e+000.00e+000.2640.598Malignant cellsNA

CALM2

ENSG00000143933-0.4935870.00e+000.00e+000.9960.998Malignant cellsNA

NCBP2-AS2

NA-0.4942990.00e+000.00e+000.4140.708Malignant cellsNA

ACP1

ENSG00000143727-0.4944480.00e+000.00e+000.8240.956Malignant cellsNA

SNAPIN

ENSG00000143553-0.4945960.00e+000.00e+000.2980.629Malignant cellsNA

KRT8

ENSG00000170421-0.4950350.00e+000.00e+000.9930.997Malignant cellsNA

NOSIP

ENSG00000142546-0.4961280.00e+000.00e+000.6230.866Malignant cellsNA

SFT2D1

ENSG00000198818-0.4964820.00e+000.00e+000.3070.644Malignant cellsNA

YIF1A

ENSG00000174851-0.4965440.00e+000.00e+000.8920.964Malignant cellsNA

NENF

ENSG00000117691-0.4965960.00e+000.00e+000.9010.969Malignant 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 Pathway9.20e-124.60e-11176178111323467Malignant cellsANXA2,AURKA,BAX,CDK4,CDK6,CERS2,CRYAB,DCTD,DNMT1,EGFR,FADD,GSTP1,HMGA1,HSPA1A,ID1,IDH2,IFI27,JUN,PKM,MTA1,NFE2L2,PARP1,PEA15,RPS6,S100A4,ST3GAL4,SOX4,SOX9,STMN1,TPD52,YWHAZ,SLC25A5,ALDH1A3,ANXA1,ATG3,BAD,BID,BRD4,BTG1,CCND1,CCNE1,CCNG1,CD44,CDKN2A,CLTC,CAPNS1,DUSP1,DUSP2,DHFR,E2F1,EHF,EIF3A,HSP90B1,EZH2,GAPDH,G6PD,HAX1,HDAC3,HMGB2,HSPB1,EIF4A1,EIF4A3,ITGB1,JAG1,KEAP1,LDHA,MGMT,MOB1A,MAP2K1,MSH6,MYBL2,NOTCH2,NOTCH3,NTRK2,NUCKS1,OAZ2,PABPC1,PGK1,AGPAT2,POMP,PRKDC,PSMB5,RAC1,RAF1,RAB22A,RRM2,RND3,HNRNPA1,RSU1,SDC2,SDHB,SFPQ,SIAH2,SMC4,SMUG1,TPT1,UCP2,YBX1,YEATS4,ZNF217,ENO1,FASN,GNAS,CALR,GNAQ,CEBPD,EIF4EBP1,TM7SF2,PMVK,EBP,NUPR1,SIRT6,ACAT2
Aberration of the Drug's Therapeutic Target1.70e-024.20e-021761901323467Malignant cellsCDK4,CDK6,EGFR,IDH2,CDKN2A,DHFR,EZH2,MAP2K1,MSH6,SF3B1,COMT,AKR1B1,TOP2A
Drug Inactivation by Structure Modification1.40e-012.30e-01176127423467Malignant cellsGSTP1,CYP1B1,NME1,CMPK1
Irregularity in Drug Uptake and Drug Efflux7.80e-019.70e-01176137223467Malignant cellsABCB1,SLC34A2
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0017614551323467Malignant cellsDNMT1,EGFR,H2AFY,IDH2,MTA1,CDKN2A,EZH2,GAPDH,SMC4,TIMP1,MALAT1,SMYD2,MT-CO2


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
motiftransfac_pro__M074363.70.0656WT1 (directAnnotation). Malignant cells
motiftransfac_pro__M074613.690.0655KLF1; KLF10; KLF11; KLF12; KLF13; KLF15; KLF16; KLF17; KLF2; KLF3; KLF4; KLF5; KLF6; KLF7; KLF8; KLF9 (directAnnotation). Malignant cells
motiftransfac_pro__M049163.660.0652TAF1 (directAnnotation). Malignant cells
motifmetacluster_3.143.620.0648WT1; WT1 (directAnnotation). Malignant cells
motiftransfac_pro__M012193.60.0647SP1 (directAnnotation). SP3 (inferredBy_Orthology). Malignant cells
motifhdpi__TFAM3.560.0643TFAM (directAnnotation). Malignant cells
motiftransfac_pro__M020893.530.064E2F3 (directAnnotation). Malignant cells
motiftransfac_pro__M073293.530.064SP7 (directAnnotation). Malignant cells
motiftransfac_pro__M011223.50.0638ZNF219 (directAnnotation). Malignant cells
motifkznf__ZNF311_Imbeault2017_RP_ChIP-seq3.490.0636ZNF311 (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_HT8.130.0658ETS2 (directAnnotation). Malignant cells
motifmetacluster_34.47.460.0621ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
motifmetacluster_191.36.80.0584EHF; ELF1; ELF1; ELF1; ELF4; ELK1; ELK3; ELK3; ELK4; ELK4; ERF; ETS1; ETS2; ETV3; ETV4; ETV5; FEV; FEV; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; SPDEF; ZNF200 (directAnnotation). ELK1; ELK1; ELK3; ELK3; ELK4; ELK4; ETV1; ETV1; ETV4; ETV4; ETV4; ETV5; GABPA; GABPA (inferredBy_Orthology). Malignant cells
motifjaspar__MA1483.26.710.0579ELF2 (directAnnotation). Malignant cells
motifmetacluster_191.26.660.0577ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_166.46.490.0567BCLAF1; 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
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr6.150.0549ELF1; MEIS1 (directAnnotation). Malignant cells
motiftransfac_pro__M048266.130.0547EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP6.110.0546ETV5; HOXA2 (directAnnotation). Malignant cells
motifhdpi__FLI15.850.0532FLI1 (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

ELF3

metacluster_166.4upMalignant cellsNA

ELF5

metacluster_166.4upMalignant cellsNA

FOS

metacluster_174.2upMalignant cellsNA

PBX1

metacluster_174.2upMalignant cellsNA

ZNF580

metacluster_138.2upMalignant cellsNA

KLF2

transfac_pro__M07461upMalignant cellsNA

MAZ

homer__GGGGGGGG_MazupMalignant cellsNA

KLF2

transfac_pro__M08819upMalignant cellsNA

MAZ

metacluster_133.2upMalignant cellsNA

EHF

metacluster_191.3downMalignant 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."