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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: GSE186960

Dataset summary for GSE186960

Datast informationDatasetGSE186960
PMID35476525
Raw data ID/linkPRJNA776896
OrganismHomo sapiens
SourcePanc1 cell line
TissueCell line
Cancer type level1Pancreatic cancer
Cancer type level2Pancreatic ductal adenocarcinoma (PDAC)
Regimengemcitabine
Drug typeChemotherapy
Sample sizeresistant 1, sensitive 1
Cell number6136
Extract protocolDropSeq and 10x genomics
Data processingCasava1.7 and CellRanger 6.0.0
Public datePublic on Mar 21, 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 GSE186960

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Gemcitabine"

DB00441

small moleculeRRM1; TYMS; CMPK1P23921; P04818; P30085

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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

MBOAT7

ENSG00000275118-0.7476740.00e+000.00e+0000.457Malignant cellsNA

DHX36

ENSG00000281763-0.7516630.00e+000.00e+000.3430.638Malignant cellsNA

MRPS35

ENSG00000061794-0.7519360.00e+000.00e+000.7850.967Malignant cellsNA

RPF1

ENSG00000117133-0.7560430.00e+000.00e+000.7270.933Malignant cellsNA

RHOA

ENSG00000067560-0.7565060.00e+000.00e+000.9150.996Malignant cellsNA

ATP5C1P1

NA-0.758180.00e+000.00e+0000.456Malignant cellsNA

SH3KBP1

ENSG00000147010-0.760480.00e+000.00e+000.5390.785Malignant cellsNA

LRRFIP1

ENSG00000124831-0.7639450.00e+000.00e+000.8650.981Malignant cellsNA

TAF15

ENSG00000276833-0.764430.00e+000.00e+000.0010.454Malignant cellsNA

GNL2

ENSG00000134697-0.7662420.00e+000.00e+000.4380.692Malignant cellsNA

C21orf59

NA-0.7735280.00e+000.00e+000.4240.699Malignant cellsNA

EXOSC4

ENSG00000178896-0.7757120.00e+000.00e+0000.474Malignant cellsNA

DNAJA1

ENSG00000086061-0.7794390.00e+000.00e+000.9330.996Malignant cellsNA

RPS7P1

ENSG00000263266-0.7800410.00e+000.00e+000.0040.487Malignant cellsNA

ACAT1

ENSG00000075239-0.7817530.00e+000.00e+000.5760.835Malignant cellsNA

TBCB

ENSG00000105254-0.7844290.00e+000.00e+000.9520.999Malignant cellsNA

RPL27A

ENSG00000166441-0.7851540.00e+000.00e+0011Malignant cellsNA

SMDT1

ENSG00000274112-0.7853380.00e+000.00e+0000.46Malignant cellsNA

RPL27

ENSG00000131469-0.7869290.00e+000.00e+000.9991Malignant cellsNA

TSPAN5

ENSG00000168785-0.7892740.00e+000.00e+000.2310.559Malignant cellsNA

IRAK1

ENSG00000184216-0.7901270.00e+000.00e+0000.436Malignant cellsNA

SYTL2

ENSG00000137501-0.7950960.00e+000.00e+000.2770.582Malignant cellsNA

RP11-750B16.1

NA-0.7963490.00e+000.00e+000.0010.48Malignant cellsNA

SURF4

ENSG00000280951-0.796750.00e+000.00e+0000.483Malignant cellsNA

HSPA1A

ENSG00000237724-0.7972810.00e+000.00e+0000.437Malignant cellsNA

CNP

ENSG00000173786-0.7976260.00e+000.00e+000.0080.45Malignant cellsNA

UTP14A

ENSG00000156697-0.7983640.00e+000.00e+000.3550.649Malignant cellsNA

PSMA4

ENSG00000041357-0.7992790.00e+000.00e+000.9751Malignant cellsNA

NDUFV2

ENSG00000178127-0.8003650.00e+000.00e+000.2920.625Malignant cellsNA

SUCLG1

ENSG00000163541-0.8011620.00e+000.00e+000.7430.933Malignant cellsNA

NPM1P28

ENSG00000240804-0.802030.00e+000.00e+0000.463Malignant cellsNA

ANXA2P2

ENSG00000231991-0.8067130.00e+000.00e+000.0120.474Malignant cellsNA

USMG5

NA-0.8071110.00e+000.00e+000.9610.999Malignant cellsNA

POLDIP2

ENSG00000004142-0.8108350.00e+000.00e+000.0770.523Malignant cellsNA

SC22CB-1E7.1

NA-0.8125250.00e+000.00e+000.0370.489Malignant cellsNA

ASPH

ENSG00000198363-0.8136150.00e+000.00e+000.4950.692Malignant cellsNA

DNAJC2

ENSG00000105821-0.8136750.00e+000.00e+000.5420.795Malignant cellsNA

COX6A1

ENSG00000111775-0.8147070.00e+000.00e+000.9010.991Malignant cellsNA

CCDC34

ENSG00000109881-0.8153130.00e+000.00e+000.5930.809Malignant cellsNA

ZFP36

ENSG00000128016-0.8162570.00e+000.00e+000.3120.577Malignant cellsNA

RPL13AP5

ENSG00000236552-0.8166970.00e+000.00e+000.010.458Malignant cellsNA

TIMM8A

ENSG00000126953-0.8173590.00e+000.00e+0000.48Malignant cellsNA

UBE2G2

ENSG00000184787-0.8173590.00e+000.00e+0000.509Malignant cellsNA

CDC5L

ENSG00000096401-0.818660.00e+000.00e+000.6370.878Malignant cellsNA

TMEM126A

ENSG00000171202-0.8189070.00e+000.00e+000.490.782Malignant cellsNA

DNMT1

ENSG00000130816-0.8203710.00e+000.00e+000.8560.983Malignant cellsNA

CISD1

ENSG00000122873-0.8215560.00e+000.00e+000.6630.895Malignant cellsNA

PNN

ENSG00000100941-0.8232370.00e+000.00e+000.8430.97Malignant cellsNA

B2M

ENSG00000273686-0.8264880.00e+000.00e+000.981Malignant cellsNA

ITM2C

ENSG00000135916-0.8276210.00e+000.00e+000.3780.668Malignant 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-175.70e-17253978116523467Malignant cellsPPP2R5A,ANXA2,BAX,CDCP1,CDK4,CDK6,CDKN1A,CERS2,CFLAR,TP53,CUL5,DNMT1,FUBP1,HIF1A,HMGB1,HMOX1,HSPA1A,HOXB3,ISG15,PKM,MAPK1,MAP1LC3B,MTOR,NFE2L2,PARP1,PTPN11,RALBP1,RHOA,RPS6,S100A4,SFRP1,SHC1,SOX4,STMN1,TYMS,VEGFA,YWHAZ,NT5C2,ADAM17,SLC25A5,AGR2,AIFM1,AKAP12,AKT1,ANXA1,TFAP2A,ARID1A,BAD,HSPA5,BIRC6,BRD4,BRD7,BTG1,CAV2,CCNB1,CDK1,CCND1,CD44,CDK2,HSPD1,CLTC,COL1A1,CTNND1,DDIT3,DHFR,EIF3A,HSP90B1,EP300,ERRFI1,EZH2,EZR,FAT1,FGFR1,FIS1,FOXM1,FOXO3,FTL,FUS,GAPDH,GRB2,HDAC1,HMGB2,HNRNPU,HSPA8,HSPB1,HOXC9,IDH1,EIF4A1,EIF4A3,NFKBIA,ITGB1,AK4,KIF11,LAMP2,LDHA,LRRFIP1,MXD4,MDM2,MDM4,MGMT,MAPK3,MAP2K2,MSH6,MYBL2,MYO10,NOTCH2,NQO1,NUCKS1,PABPC1,PDCD10,PGK1,PIAS3,AGPAT2,PLK1,PRKDC,PSMG2,PURA,RANGAP1,HRAS,REV3L,RND3,HNRNPA1,ROCK2,RPP21,RSF1,S100A11,SDHB,SMC4,SMARCC1,SOD2,SRSF2,TPT1,TMEM54,TOP1,TRIM27,UBE2C,USP22,ULK1,WEE1,WLS,YES1,ZNF217,ENO1,FASN,PFKL,RASSF8,GNAS,BRCA2,PMS2,NPM1,EIF4EBP1,MDK,RCN1,BRD2,SQLE,TM7SF2,SAFB2,EBP,ACAP2,UBR5,TRIB3,APP,WTAP,ACAT2,CDK7
Aberration of the Drug's Therapeutic Target1.60e-023.90e-022539901723467Malignant cellsCDK4,CDK6,TP53,MTOR,AKT1,DHFR,EZH2,FGFR1,IDH1,MAP2K2,MSH6,JAK1,SF3B1,NPM1,COMT,AKR1B1,TOP2A
Drug Inactivation by Structure Modification3.30e-014.60e-01253927423467Malignant cellsNT5C2,SOD2,BCHE,NME1
Irregularity in Drug Uptake and Drug Efflux3.70e-014.60e-01253937523467Malignant cellsSLC3A2,ABCC1,SLC7A5,SLC7A11,SLC29A1
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0025394552023467Malignant cellsTP53,DNMT1,H2AFY,EIF4G2,LMNA,TYMS,PMAIP1,EZH2,FOXO3,GAPDH,IDH1,MAPK3,SMC4,TIMP1,SNHG14,MALAT1,GDI2,PPP1R15A,MT-CO2,GABPB1-AS1


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
motifmetacluster_174.35.720.0646MBD2; NFYA; NFYB; NFYC; PBX3 (directAnnotation). Malignant cells
motifmetacluster_174.25.580.0638CEBPZ; CEBPZ; DRAP1; FOS; FOXI1; FOXI1; HMGXB3; IRF3; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYB; NFYB; NFYB; NFYB; NFYB; NFYC; NFYC; NFYC; NFYC; NFYC; NFYC; NFYC; PBX3; PBX3; SP2 (directAnnotation). NFYA; NFYA; NFYC; PBX1; PBX3 (inferredBy_Orthology). Malignant cells
motifmetacluster_174.64.530.0572NFYA; NFYB; NFYB; NFYC (directAnnotation). Malignant cells
motifjaspar__MA0502.24.050.0543NFYB (directAnnotation). Malignant cells
motifmetacluster_144.83.740.0524ZNF30; ZNF30 (directAnnotation). Malignant cells
motifjaspar__MA1933.13.710.0522SREBF2 (directAnnotation). Malignant cells
motifdbtfbs__GMEB1_K562_ENCSR928KOR_merged_N13.530.0511GMEB1 (directAnnotation). Malignant cells
motifmetacluster_156.23.470.0507ATF3; ATF4; ATF4; ATF4; ATF4; ATF4; ATF4; CEBPG; CEBPG; DDIT3; MYC (directAnnotation). ATF4; ATF4; ATF4; CEBPG; DDIT3 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M049183.340.0499EGR1 (directAnnotation). Malignant cells
motifmetacluster_7.53.330.0498PLAGL1; PLAGL1 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_191.25.80.0654ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_191.35.510.0634EHF; 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
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT5.510.0634ETS2 (directAnnotation). Malignant cells
motifmetacluster_166.45.080.0604BCLAF1; 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__ETV5_HOXA2_RSCGGWAATKR_CAP4.830.0585ETV5; HOXA2 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__FOXO1_ELK3_RCCGGAWGTKKW_CAP4.720.0578ELK3; FOXO1 (directAnnotation). Malignant cells
motifhdpi__TP734.660.0573TP73 (directAnnotation). Malignant cells
motifjaspar__MA1483.24.630.0571ELF2 (directAnnotation). Malignant cells
motifswissregulon__hs__ETV64.520.0563ETV6 (directAnnotation). Malignant cells
motifmetacluster_166.24.480.0561ELK4; 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

ERF

metacluster_191.3upMalignant cellsNA

ETV5

metacluster_191.3upMalignant cellsNA

ETV5

metacluster_166.4upMalignant cellsNA

GATAD1

metacluster_166.4upMalignant cellsNA

ETV5

taipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAPupMalignant cellsNA

ETV5

metacluster_166.2upMalignant cellsNA

ERF

metacluster_138.2upMalignant cellsNA

ETV5

metacluster_138.2upMalignant cellsNA

ZNF580

metacluster_138.2upMalignant cellsNA

EP300

transfac_pro__M04826upMalignant 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."