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: GSE131984_JQ1Pal

Dataset summary for GSE131984_JQ1Pal

Datast informationDatasetGSE131984_JQ1Pal
PMID32393766
Raw data ID/linkPRJNA545508
OrganismHomo sapiens
SourceSUM159 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Triple-negative breast cancer (TNBC)
RegimenJQ1 + palbociclib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number2085
Extract protocol10x genomics
Data processingCellRanger 2.1.0
Public datePublic on Apr 08, 2024
DescriptionThis dataset has 1 cell line with 2 sensitive pre-treatment samples and 1 resistant post-treatment samples.

Top

Drug summary for GSE131984_JQ1Pal

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"JQ1" is not included in the drug list.
"Palbociclib"

DB09073

small moleculeCDK4; CDK6P11802; Q00534

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

CENPU

ENSG00000151725-0.2931127.24e-171.14e-120.3150.474Malignant cellsNA

MSMO1

ENSG00000052802-0.2931261.00e-181.58e-140.20.368Malignant cellsNA

USMG5

NA-0.293139.94e-351.57e-300.9980.998Malignant cellsNA

UBE2D1

ENSG00000072401-0.2932019.51e-211.50e-160.3140.506Malignant cellsNA

RP11-879F14.2

NA-0.2937291.19e-201.88e-160.1880.363Malignant cellsNA

BRD7

ENSG00000166164-0.2939763.09e-164.88e-120.5330.668Malignant cellsNA

TSR1

ENSG00000167721-0.2939914.43e-197.01e-150.3080.493Malignant cellsNA

MTMR2

ENSG00000087053-0.2943161.15e-181.81e-140.3090.486Malignant cellsNA

C1GALT1C1

ENSG00000288368-0.2945661.24e-171.96e-130.1760.334Malignant cellsNA

AKIP1

ENSG00000166452-0.2946695.60e-188.85e-140.4140.583Malignant cellsNA

BRMS1

ENSG00000174744-0.2947181.94e-183.06e-140.5910.734Malignant cellsNA

MED30

ENSG00000164758-0.2949256.54e-181.03e-130.2810.45Malignant cellsNA

PHLDA3

ENSG00000174307-0.2951162.12e-183.35e-140.2170.384Malignant cellsNA

TGFB1I1

ENSG00000140682-0.2955282.01e-183.17e-140.2220.391Malignant cellsNA

DNAJA1

ENSG00000086061-0.29618.50e-131.34e-080.8030.859Malignant cellsNA

PRELID2

ENSG00000186314-0.2962592.56e-304.05e-260.0990.296Malignant cellsNA

ALKBH3

ENSG00000166199-0.296491.01e-211.59e-170.2810.475Malignant cellsNA

NSDHL

ENSG00000147383-0.2967985.53e-218.75e-170.1810.356Malignant cellsNA

EPRS

NA-0.2969486.03e-159.53e-110.480.616Malignant cellsNA

NUBP2

ENSG00000095906-0.2977292.49e-163.93e-120.690.78Malignant cellsNA

TMEM255B

ENSG00000282107-0.297784.65e-107.35e-060.5160.614Malignant cellsNA

FAM204A

ENSG00000165669-0.2986966.16e-179.74e-130.6830.794Malignant cellsNA

WDR46

ENSG00000226916-0.2987493.76e-195.94e-150.2890.472Malignant cellsNA

DEF8

ENSG00000140995-0.2987844.45e-257.03e-210.8990.967Malignant cellsNA

MOSPD1

ENSG00000101928-0.2992666.00e-229.48e-180.1890.373Malignant cellsNA

SKA2

ENSG00000182628-0.2997174.05e-176.39e-130.7360.828Malignant cellsNA

SCAMP3

ENSG00000263290-0.2997881.94e-163.07e-120.4380.586Malignant cellsNA

CMPK1

ENSG00000162368-0.3000871.22e-181.93e-140.7660.843Malignant cellsNA

IQSEC2

ENSG00000124313-0.3002189.77e-121.54e-070.4460.559Malignant cellsNA

ZCRB1

ENSG00000139168-0.3002395.76e-279.11e-230.960.986Malignant cellsNA

ME2

ENSG00000082212-0.300324.78e-207.55e-160.280.465Malignant cellsNA

CKS2

ENSG00000123975-0.3003652.10e-153.32e-110.9160.965Malignant cellsNA

AVPI1

ENSG00000119986-0.3006281.81e-162.86e-120.4020.561Malignant cellsNA

SFPQ

ENSG00000116560-0.3008751.78e-162.81e-120.8530.887Malignant cellsNA

CAMTA1

ENSG00000171735-0.3009025.73e-249.06e-200.9370.968Malignant cellsNA

HIST2H2AC

NA-0.3010936.42e-221.02e-170.1230.288Malignant cellsNA

PEBP1

ENSG00000089220-0.3019551.74e-272.75e-230.9970.998Malignant cellsNA

VPS72

ENSG00000163159-0.3021832.68e-244.23e-200.2020.405Malignant cellsNA

VKORC1

ENSG00000167397-0.3023115.73e-269.06e-220.9390.972Malignant cellsNA

PDCL3

ENSG00000115539-0.3023874.97e-167.85e-120.3640.516Malignant cellsNA

TTC1

ENSG00000113312-0.3029731.24e-181.96e-140.4510.628Malignant cellsNA

NRBF2

ENSG00000148572-0.3029947.80e-201.23e-150.3230.504Malignant cellsNA

SLC35A2

ENSG00000102100-0.3032221.70e-242.69e-200.1980.398Malignant cellsNA

DLGAP5

ENSG00000126787-0.303331.11e-231.75e-190.1960.401Malignant cellsNA

MANBAL

ENSG00000101363-0.3033941.18e-171.86e-130.6120.742Malignant cellsNA

RPP38

ENSG00000152464-0.3034811.08e-191.71e-150.3490.533Malignant cellsNA

EIF2D

ENSG00000143486-0.3035781.70e-202.69e-160.2780.461Malignant cellsNA

OGFRL1

ENSG00000119900-0.3036341.30e-152.06e-110.4380.583Malignant cellsNA

CTNNAL1

ENSG00000119326-0.3036418.29e-181.31e-130.8220.877Malignant cellsNA

MSRB1

ENSG00000198736-0.3037861.20e-171.90e-130.3930.56Malignant 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

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 Pathway3.30e-231.70e-22242778117423467Malignant cellsADAM10,ATG5,AURKA,BAX,BBC3,BCAT1,BIRC5,CTSL,CDCP1,CDK4,CFLAR,CIAPIN1,DCTD,DUSP6,EGFR,EPAS1,FADD,FBXW7,FUBP1,GLS,HMGA1,HMGB1,HMOX1,IFI27,ISG15,JUN,MAGEA6,MAGEA12,MCL1,MET,MYC,PARP1,PPARG,RHOA,S100A4,SHC1,SOX4,SOX9,SPRY2,STMN1,TGFB1,TGFBR2,PBK,TYMS,AAMDC,SLC25A5,AIFM1,AR,ANXA1,TFAP2A,ATG3,ATM,BID,HSPA5,BRD7,CASP1,CAV2,CCNA2,CCNB1,CDK1,CCND1,CD44,HSPD1,COL1A1,CRIM1,CUL4A,DDIT3,HSP90B1,EPHA2,EREG,EZH2,EZR,FAT1,FN1,FIS1,FOXO3,FTL,FUS,FYN,G6PD,GAS6,GRB2,HAX1,HDAC3,HIPK2,HMGB2,HMGN5,HNRNPU,HSPA8,HSPB1,EIF4A1,EIF4A3,EIF4E,NFKBIA,ITGB1,LASP1,LDHA,LRRFIP1,MTDH,MXD4,MAGEA3,MAPK3,MYBL2,NCOA3,NQO1,NUCKS1,PIK3R1,PDCD10,PDCD4,PGK1,AGPAT2,PLK1,POMP,PSMB5,PSMG2,PTPN1,PTPN12,RAP1A,RAP1B,RAB27A,RRM2,HNRNPA1,ROCK2,S100A11,SDC2,SDHB,SFPQ,SMAD7,SMC4,SMUG1,SOCS3,SOD2,SPIN1,SRSF2,STK4,TFAM,TNFAIP3,TUSC3,UBE2C,USP22,AXL,ULK1,WEE1,WLS,XRCC4,YBX1,ZKSCAN1,ZNF217,ENO1,FASN,PFKL,GNAS,CD33,GNA11,GNAQ,ARAF,NPM1,IL7R,CEBPD,EIF4EBP1,EPHB4,IDI1,INSIG1,PRKCA,RCN1,PMVK,EBP,ACAP2,NUPR1,TRIB3,CERS6,APP,WTAP,ACAT2
Drug Inactivation by Structure Modification1.40e-013.50e-01242727523467Malignant cellsCES1,SOD2,CDA,NME1,CMPK1
Irregularity in Drug Uptake and Drug Efflux5.40e-017.40e-01242737423467Malignant cellsSLC3A2,ABCA1,ABCE1,TAP1
Aberration of the Drug's Therapeutic Target5.90e-017.40e-01242790923467Malignant cellsCDK4,EGFR,MET,AR,EZH2,GNA11,NPM1,COMT,AKR1B1
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0024274552123467Malignant cellsATG5,EGFR,FBXW7,H2AFY,LMNA,MET,PPARG,SPRY2,TRIP6,TYMS,PMAIP1,EZH2,FOXO3,MAPK3,PDCD4,SMC4,MALAT1,GDI2,PPP1R15A,MT-CO2,NABP1


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
motifjaspar__MA0079.53.430.0646SP1 (directAnnotation). Malignant cells
motifkznf__KLF1_Barrera2016.2_PBM3.40.0644KLF1 (directAnnotation). Malignant cells
motiftaipale_cyt_meth__ZNF460_NAACGCCCCCCGN_eDBD_repr3.350.064ZNF460 (directAnnotation). Malignant cells
motiftransfac_pro__M057913.340.0639ZNF517 (directAnnotation). Malignant cells
motiftransfac_pro__M012533.320.0638CNOT3 (directAnnotation). Malignant cells
motifhdpi__NFIX3.30.0636NFIX (directAnnotation). Malignant cells
motifmetacluster_134.73.270.0634FOXD2; FOXG1; FOXI1; FOXJ2; FOXJ2; FOXJ3; FOXJ3; FOXK1; FOXK1; FOXK2; FOXO4; FOXO6; FOXP2 (directAnnotation). FOXC1; FOXO1; FOXO6 (inferredBy_Orthology). Malignant cells
motifmetacluster_153.43.120.0622SOX12; SOX14; SRY (directAnnotation). SOX5 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M048173.110.0621ZBTB33 (directAnnotation). Malignant cells
motiftransfac_pro__M028963.070.0618SPI1 (inferredBy_Orthology). Malignant cells
Page: 1 2

Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT6.630.0607ETS2 (directAnnotation). Malignant cells
motifmetacluster_191.36.450.0596EHF; 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
motifmetacluster_166.46.150.0579BCLAF1; 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
motiftransfac_pro__M048265.710.0554EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP5.560.0545ETV5; HOXA2 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__FOXO1_ELK3_RCCGGAWGTKKW_CAP5.450.0539ELK3; FOXO1 (directAnnotation). Malignant cells
motifmetacluster_191.25.450.0539ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifjaspar__MA1483.25.320.0531ELF2 (directAnnotation). Malignant cells
motifmetacluster_166.25.320.0531ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr5.120.052ELF1; MEIS1 (directAnnotation). Malignant cells
Page: 1 2 3 4 5 6

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

ETV1

metacluster_191.3upMalignant cellsNA

ETV1

metacluster_166.4upMalignant cellsNA

ETV1

metacluster_166.2upMalignant cellsNA

ETV1

metacluster_138.2upMalignant cellsNA

ETV1

taipale_tf_pairs__TEAD4_ETV1_RSCGGAAATRCM_CAPupMalignant cellsNA

STAT1

transfac_pro__M00492upMalignant cellsNA

NFIX

hdpi__NFIXupMalignant cellsNA

ETS2

taipale_tf_pairs__ETS2_RCCGGAAGTG_HTdownMalignant cellsNA

ETS2

metacluster_191.3downMalignant cellsNA

ETV4

metacluster_191.3downMalignant 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."