DRMref Logo

Home

Download

Statistics

Landscape

Help

Contact

Center for Computational Systems Medicine
leaf

Dataset summary

leaf

Drug summary

leaf

Umap of single cell types and conditions (resistant and sensitive)

leaf

Comparison of cell composition between the resistant and sensitive groups (This dataset does not contain this module)

leaf

Comparison of intra-tumor heterogeneity (ITH) and epithelial-mesenchymal transition (EMT) scores of malignant cells between the resistant and sensitive groups

leaf

Difference of cell-cell interactions between the resistant and sensitive groups (This dataset does not contain this module)

Soverview

Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

Soverview

Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples (This dataset does not contain this module)

Soverview

Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples (This dataset does not contain this module)

Soverview

Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

Soverview

MicroRNAs (miRNAs) regulating drug resistance-related DEGs for Malignant cells

Soverview

Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

     •

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.

Top

Drug summary for GSE186960

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Gemcitabine"

DB00441

small moleculeRRM1; TYMS; CMPK1P23921; P04818; P30085

Top

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

Top

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.)

Top

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

Top

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.)

Top

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

ASCC1

ENSG000001383030.3770651.17e-352.61e-310.3920.149Malignant cellsNA

COMT

ENSG000000930100.3767511.69e-323.77e-280.8030.682Malignant cellsNA

GOLGB1

ENSG000001732300.3762226.45e-291.44e-240.8820.789Malignant cellsNA

RPA1

ENSG000001323830.3761542.15e-284.78e-240.7180.557Malignant cellsNA

OLA1

ENSG000001384300.3759521.30e-342.90e-300.910.848Malignant cellsNA

MAPK1

ENSG000001000300.3752111.25e-322.78e-280.5080.262Malignant cellsNA

SMG6

ENSG000000703660.374653.00e-386.68e-340.3520.107Malignant cellsNA

BCL2L13

ENSG000000999680.374494.73e-351.05e-300.4220.178Malignant cellsNA

ZMYM2

ENSG000001217410.3735467.03e-361.56e-310.3660.13Malignant cellsNA

FAM103A1

NA0.3731571.05e-362.35e-320.3420.107Malignant cellsNA

TBPL1

ENSG000000288390.3728743.64e-378.11e-330.4150.156Malignant cellsNA

CTC-444N24.11

NA0.3726240.00e+007.83e-420.2640.019Malignant cellsNA

SLC25A33

ENSG000001716120.372532.14e-284.77e-240.6170.428Malignant cellsNA

EAPP

ENSG000001295180.3724741.18e-292.63e-250.6730.476Malignant cellsNA

CIRBP

ENSG000000996220.3723449.07e-322.02e-270.7290.547Malignant cellsNA

ERF

ENSG000001057220.3723161.63e-433.62e-390.3030.053Malignant cellsNA

ADH5

ENSG000001978940.3717121.09e-292.44e-250.7710.636Malignant cellsNA

GSTZ1

ENSG000001005770.3717067.68e-391.71e-340.3310.09Malignant cellsNA

MAN2B2

ENSG000000132880.3713353.43e-387.64e-340.3320.095Malignant cellsNA

LINC00657

NA0.3711721.41e-293.14e-250.4850.258Malignant cellsNA

RPL3

ENSG000001003160.3702910.00e+000.00e+0011Malignant cellsNA

RERE

ENSG000001425990.3698012.59e-265.78e-220.5320.318Malignant cellsNA

PVT1

ENSG000002498590.3696921.32e-352.94e-310.4130.163Malignant cellsNA

PEX10

ENSG000001579110.3696844.20e-457.92e-410.2790.032Malignant cellsNA

EEF1D

ENSG000002735940.3696380.00e+000.00e+000.9970.99Malignant cellsNA

TNPO1

ENSG000000833120.3692666.04e-331.35e-280.5310.284Malignant cellsNA

DEF8

ENSG000001409950.3690662.54e-335.66e-290.4090.173Malignant cellsNA

LRPPRC

ENSG000001380950.3688581.94e-294.32e-250.750.602Malignant cellsNA

SMAP1

ENSG000001123050.3686311.52e-313.39e-270.7790.628Malignant cellsNA

SOX4

ENSG000001247660.3683456.27e-241.40e-190.6330.448Malignant cellsNA

TCEAL8

ENSG000001809640.3682836.72e-411.50e-360.290.052Malignant cellsNA

USP34

ENSG000001154640.3679838.66e-311.93e-260.6380.427Malignant cellsNA

FGFR1

ENSG000000777820.3677034.35e-269.68e-220.7370.582Malignant cellsNA

ARL1

ENSG000001208050.3675065.40e-291.20e-240.560.344Malignant cellsNA

EIF2S3

ENSG000001307410.3660922.37e-295.29e-250.6960.526Malignant cellsNA

AIG1

ENSG000001464160.3647826.34e-311.41e-260.4760.241Malignant cellsNA

ARL6IP1

ENSG000001705400.3647095.02e-281.12e-230.9560.914Malignant cellsNA

TCP1

ENSG000001204380.3644292.79e-396.20e-350.9730.951Malignant cellsNA

DYNLL1

ENSG000000889860.3643960.00e+000.00e+000.9990.996Malignant cellsNA

RPS15A

ENSG000001344190.3640610.00e+000.00e+0011Malignant cellsNA

C12orf44

NA0.3637492.28e-365.07e-320.360.12Malignant cellsNA

ARF3

ENSG000001342870.3636342.33e-295.19e-250.7450.583Malignant cellsNA

CYB5D2

ENSG000001677400.363472.14e-324.76e-280.3630.136Malignant cellsNA

TUBGCP5

ENSG000002808070.3633765.36e-271.19e-220.610.413Malignant cellsNA

MKL1

NA0.3631691.51e-373.36e-330.3150.082Malignant cellsNA

MLLT4

NA0.3629778.57e-311.91e-260.5730.345Malignant cellsNA

AKR7A2

ENSG000000533710.3627183.53e-297.87e-250.5730.352Malignant cellsNA

DHX33

ENSG000000051000.3625842.92e-326.52e-280.480.234Malignant cellsNA

HSBP1L1

ENSG000002267420.361466.79e-391.51e-340.3250.085Malignant cellsNA

NNT-AS1

ENSG000002480920.3611644.90e-441.10e-390.250.016Malignant cellsNA
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51

Top

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.)

Top

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.)

Top

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
boxplot
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

boxplot

boxplot

boxplot

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

boxplot

boxplot

boxplot

Top

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

Top

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
Page: 1 2 3

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
Page: 1 2 3 4 5

Top

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
Page: 1




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."