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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

ENAH

ENSG00000154380-0.3505057.62e-251.70e-200.8380.926Malignant cellsNA

RIC8A

ENSG00000177963-0.3505411.81e-184.04e-140.4380.546Malignant cellsNA

EIF6

ENSG00000242372-0.3506282.31e-275.15e-230.8270.903Malignant cellsNA

TAZ

NA-0.3511580.00e+000.00e+000.0120.262Malignant cellsNA

KIAA0020

NA-0.3511856.74e-161.50e-110.4210.524Malignant cellsNA

ACTN1

ENSG00000072110-0.3513051.41e-213.15e-170.7910.875Malignant cellsNA

POLR2H

ENSG00000163882-0.3518334.70e-281.05e-230.7740.887Malignant cellsNA

PSMG2

ENSG00000128789-0.3519571.28e-192.86e-150.4760.593Malignant cellsNA

GPRC5A

ENSG00000013588-0.3520999.91e-132.21e-080.250.354Malignant cellsNA

CTSB

ENSG00000285132-0.3521721.11e-212.47e-170.5720.686Malignant cellsNA

NDUFV2P1

ENSG00000267809-0.3523150.00e+000.00e+000.0160.256Malignant cellsNA

KIAA1430

NA-0.3526025.67e-181.26e-130.5110.612Malignant cellsNA

NDUFA8

ENSG00000119421-0.3528231.20e-252.67e-210.5990.734Malignant cellsNA

NOC3L

ENSG00000173145-0.3530631.67e-163.72e-120.4390.55Malignant cellsNA

NDUFA10

ENSG00000130414-0.3535632.62e-245.84e-200.6610.766Malignant cellsNA

TOX4

ENSG00000092203-0.3542451.47e-213.28e-170.3820.521Malignant cellsNA

RP11-314A20.1

NA-0.3542580.00e+000.00e+000.0080.252Malignant cellsNA

UBE2D3

ENSG00000109332-0.354755.15e-251.15e-200.6860.777Malignant cellsNA

GRPEL1

ENSG00000109519-0.3550092.78e-226.19e-180.740.828Malignant cellsNA

C12orf45

NA-0.3553212.22e-204.94e-160.3960.532Malignant cellsNA

TMSB4XP4

ENSG00000223551-0.3553370.00e+000.00e+000.0950.308Malignant cellsNA

RAB7A

ENSG00000075785-0.3556832.57e-235.72e-190.8580.927Malignant cellsNA

CLTA

ENSG00000122705-0.3559490.00e+009.81e-450.9950.999Malignant cellsNA

EWSR1

ENSG00000182944-0.3568.52e-291.90e-240.7980.895Malignant cellsNA

ISG20L2

ENSG00000143319-0.3564736.00e-261.34e-210.2480.41Malignant cellsNA

VDAC1

ENSG00000213585-0.3566521.10e-342.44e-300.9590.994Malignant cellsNA

HOXB2

ENSG00000173917-0.3566984.05e-189.03e-140.3780.501Malignant cellsNA

RP11-40C6.2

NA-0.3568710.00e+000.00e+000.0050.255Malignant cellsNA

C4orf27

NA-0.3579673.16e-187.04e-140.5380.632Malignant cellsNA

ATP5E

NA-0.3580270.00e+000.00e+0011Malignant cellsNA

ING2

ENSG00000168556-0.3584777.27e-211.62e-160.3660.503Malignant cellsNA

EPHB2

ENSG00000133216-0.3585651.34e-422.99e-380.0960.265Malignant cellsNA

TOPBP1

ENSG00000163781-0.3586388.84e-181.97e-130.4620.562Malignant cellsNA

RBM22

ENSG00000086589-0.3587716.19e-231.38e-180.3480.49Malignant cellsNA

PPP4R1

ENSG00000154845-0.3589182.90e-256.47e-210.2610.418Malignant cellsNA

C21orf33

NA-0.3589862.55e-185.68e-140.4370.546Malignant cellsNA

MRPL32

ENSG00000106591-0.3592762.83e-286.30e-240.7450.872Malignant cellsNA

CDK2AP1

ENSG00000111328-0.3606130.00e+000.00e+000.0790.294Malignant cellsNA

GUSB

ENSG00000169919-0.3608623.91e-188.72e-140.4130.527Malignant cellsNA

PDAP1

ENSG00000106244-0.3617651.48e-303.29e-260.8710.948Malignant cellsNA

SWAP70

ENSG00000133789-0.3621621.15e-162.56e-120.50.592Malignant cellsNA

NAPG

ENSG00000134265-0.362962.53e-285.64e-240.2770.45Malignant cellsNA

RP11-632C17--A.1

NA-0.3635610.00e+000.00e+000.0250.269Malignant cellsNA

CYB5A

ENSG00000166347-0.3646757.91e-211.76e-160.5570.666Malignant cellsNA

STYXL1

ENSG00000127952-0.3650940.00e+000.00e+0000.254Malignant cellsNA

CDK2

ENSG00000123374-0.3654842.19e-374.88e-330.1710.36Malignant cellsNA

MCFD2

ENSG00000180398-0.3655712.52e-195.62e-150.5030.602Malignant cellsNA

DSTN

ENSG00000125868-0.3659020.00e+000.00e+000.9981Malignant cellsNA

SERBP1P1

ENSG00000213740-0.3659260.00e+000.00e+000.0030.254Malignant cellsNA

VMA21

ENSG00000160131-0.3677117.69e-251.71e-200.6290.742Malignant 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."