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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

SEC22B.1

NA0.3980920.00e+000.00e+000.2590Malignant cellsNA

ZNF680

ENSG000001730410.3979316.31e-441.39e-390.3110.057Malignant cellsNA

GAS2L3

ENSG000001393540.3977431.99e-334.43e-290.4730.226Malignant cellsNA

VEGFB

ENSG000001735110.3971033.05e-406.79e-360.3980.138Malignant cellsNA

SEC61B

ENSG000001068030.396390.00e+001.54e-440.9830.944Malignant cellsNA

PSMB1

ENSG000002811840.3961730.00e+000.00e+0010.996Malignant cellsNA

NUP98

ENSG000001107130.395953.74e-348.33e-300.5420.294Malignant cellsNA

PIP4K2A

ENSG000001508670.39598.18e-401.82e-350.4120.148Malignant cellsNA

FGFRL1

ENSG000001274180.3949292.99e-366.65e-320.3920.149Malignant cellsNA

XPOT

ENSG000001845750.3947331.32e-312.95e-270.5420.312Malignant cellsNA

TMEM238

ENSG000002334930.3946780.00e+000.00e+000.2680.009Malignant cellsNA

RBBP4

ENSG000001625210.3938388.55e-331.91e-280.6330.426Malignant cellsNA

KRR1

ENSG000001116150.3934959.36e-352.08e-300.850.749Malignant cellsNA

CDK16

ENSG000001022250.3932485.11e-381.14e-330.4650.205Malignant cellsNA

HINT1

ENSG000001695670.3931590.00e+000.00e+0011Malignant cellsNA

CLCN7

ENSG000001032490.3931270.00e+000.00e+000.2650.009Malignant cellsNA

AP2A1

ENSG000001969610.3921230.00e+005.75e-440.2750.021Malignant cellsNA

PRDX1

ENSG000001174500.3919930.00e+000.00e+0011Malignant cellsNA

XRCC6

ENSG000001964190.3918750.00e+000.00e+000.990.979Malignant cellsNA

SREBF2

ENSG000001989110.3914350.00e+007.75e-430.3120.049Malignant cellsNA

SEC61G

ENSG000001324320.391030.00e+000.00e+000.9970.991Malignant cellsNA

SMIM13

ENSG000002245310.3907524.76e-441.07e-390.3380.077Malignant cellsNA

COPA

ENSG000001222180.3907062.45e-355.46e-310.4690.216Malignant cellsNA

ANKRD28

ENSG000002065600.3902325.45e-331.21e-280.4530.212Malignant cellsNA

HCFC1R1

ENSG000001031450.3899366.67e-311.49e-260.6950.516Malignant cellsNA

CSRP2

ENSG000001751830.3894086.71e-391.50e-340.3410.097Malignant cellsNA

RP11-423H2.1

NA0.3887877.01e-371.56e-320.4190.17Malignant cellsNA

ZNF826P

ENSG000002312050.3879960.00e+004.20e-450.2580.007Malignant cellsNA

EPRS

NA0.3876530.00e+007.01e-450.9890.95Malignant cellsNA

NUS1

ENSG000001539890.3872231.68e-383.74e-340.3820.13Malignant cellsNA

ECI1

ENSG000001679690.3871184.24e-359.44e-310.8560.738Malignant cellsNA

TERF1

ENSG000001476010.3860617.60e-361.69e-310.4660.216Malignant cellsNA

DBI

ENSG000001553680.3859280.00e+000.00e+000.9950.984Malignant cellsNA

AK4

ENSG000001624330.3856241.06e-432.39e-390.3020.053Malignant cellsNA

CCNC

ENSG000001122370.3855096.77e-331.51e-280.6680.454Malignant cellsNA

FLNB

ENSG000001360680.3847039.98e-372.22e-320.4830.221Malignant cellsNA

ARFIP2

ENSG000001322540.3845452.83e-376.31e-330.390.146Malignant cellsNA

WDR62

ENSG000000757020.3845336.11e-371.36e-320.4020.153Malignant cellsNA

POLR2K

ENSG000001476690.3838825.85e-331.30e-280.7990.66Malignant cellsNA

NIPA2

ENSG000001401570.3833763.94e-338.77e-290.8190.699Malignant cellsNA

RPS27A

ENSG000001439470.3831940.00e+000.00e+0011Malignant cellsNA

KIF11

ENSG000001381600.3828419.93e-282.21e-230.6820.504Malignant cellsNA

ANKRD54

ENSG000001001240.3822664.06e-439.05e-390.2990.053Malignant cellsNA

CD3EAP

NA0.3821629.81e-452.14e-400.2910.04Malignant cellsNA

DPP3

ENSG000002549860.3808711.09e-402.42e-360.370.113Malignant cellsNA

SYNGR1

ENSG000001003210.3806396.65e-351.48e-300.3990.16Malignant cellsNA

PRR11

ENSG000000684890.3799837.59e-301.69e-250.5030.271Malignant cellsNA

NDUFS6

ENSG000001454940.3791830.00e+000.00e+000.9950.99Malignant cellsNA

CTD-2314B22.3

NA0.3775219.81e-452.26e-400.3030.049Malignant cellsNA

IARS

NA0.3770894.92e-301.10e-250.740.582Malignant 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."
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