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

TRA2B

ENSG00000136527-0.3143157.97e-211.26e-160.8460.903Malignant cellsNA

GLT8D1

ENSG00000016864-0.3143332.28e-213.61e-170.2960.483Malignant cellsNA

POLE2

ENSG00000100479-0.3147375.63e-358.90e-310.0610.257Malignant cellsNA

NONO

ENSG00000147140-0.3150561.04e-181.64e-140.910.934Malignant cellsNA

DDX18

ENSG00000088205-0.3156148.75e-211.38e-160.7820.874Malignant cellsNA

DYNLT1

ENSG00000146425-0.3158063.21e-265.08e-220.9650.992Malignant cellsNA

FARSB

ENSG00000116120-0.3158365.72e-189.05e-140.4310.596Malignant cellsNA

DDX56

ENSG00000136271-0.3159251.10e-171.73e-130.3490.515Malignant cellsNA

ABCE1

ENSG00000164163-0.3160273.76e-185.94e-140.5220.667Malignant cellsNA

LYRM1

ENSG00000102897-0.3160967.73e-221.22e-170.2670.455Malignant cellsNA

MIF4GD

ENSG00000125457-0.3161625.01e-187.92e-140.4290.574Malignant cellsNA

EXOSC4

ENSG00000178896-0.3161893.48e-175.49e-130.6040.719Malignant cellsNA

RAD51C

ENSG00000108384-0.3161992.28e-153.61e-110.5820.696Malignant cellsNA

AGAP2-AS1

ENSG00000255737-0.3165231.33e-252.11e-210.2030.409Malignant cellsNA

MAPK3

ENSG00000102882-0.3166129.18e-271.45e-220.1710.374Malignant cellsNA

BAG2

ENSG00000112208-0.3169132.87e-174.54e-130.470.624Malignant cellsNA

SOCS3

ENSG00000184557-0.3169772.04e-293.22e-250.0760.259Malignant cellsNA

CMTM7

ENSG00000153551-0.3169847.36e-291.16e-240.1880.409Malignant cellsNA

NDUFB3

ENSG00000119013-0.3170113.05e-294.81e-250.9220.98Malignant cellsNA

OPTN

ENSG00000123240-0.3170883.23e-155.10e-110.5010.631Malignant cellsNA

MRPL48

ENSG00000175581-0.3173136.60e-191.04e-140.5360.701Malignant cellsNA

HSPA14

ENSG00000187522-0.3174062.67e-194.23e-150.3120.488Malignant cellsNA

THOC6

ENSG00000131652-0.3177486.73e-151.06e-100.4680.593Malignant cellsNA

HNRNPU

ENSG00000153187-0.3178678.90e-241.41e-190.9040.943Malignant cellsNA

IMPDH2

ENSG00000178035-0.3179093.91e-246.17e-200.9080.967Malignant cellsNA

SAR1B

ENSG00000152700-0.3183145.76e-169.10e-120.4880.62Malignant cellsNA

TRABD

ENSG00000170638-0.3183353.56e-195.62e-150.4330.599Malignant cellsNA

FAM103A1

NA-0.3184933.66e-205.79e-160.3850.572Malignant cellsNA

NOSIP

ENSG00000142546-0.3186735.22e-208.24e-160.7490.829Malignant cellsNA

GOSR2

ENSG00000108433-0.3188495.00e-167.91e-120.4020.544Malignant cellsNA

ACTR10

ENSG00000131966-0.3190673.04e-164.81e-120.3330.484Malignant cellsNA

LACTB2

ENSG00000147592-0.3191153.11e-254.92e-210.1830.378Malignant cellsNA

TCOF1

ENSG00000070814-0.3192084.03e-176.37e-130.4490.602Malignant cellsNA

MESDC2

NA-0.3192613.34e-165.27e-120.6060.726Malignant cellsNA

LSM4

ENSG00000130520-0.3193688.47e-391.34e-340.9931Malignant cellsNA

RPGR

ENSG00000156313-0.3195351.42e-222.25e-180.1770.358Malignant cellsNA

ACD

ENSG00000102977-0.3202087.61e-211.20e-160.3220.501Malignant cellsNA

CAV2

ENSG00000105971-0.320272.03e-183.21e-140.8420.902Malignant cellsNA

GOT1

ENSG00000120053-0.3204531.06e-221.68e-180.1960.385Malignant cellsNA

SSU72

ENSG00000160075-0.3204741.40e-262.21e-220.9480.968Malignant cellsNA

SSR3

ENSG00000114850-0.3209441.51e-192.38e-150.9310.955Malignant cellsNA

POLR2G

ENSG00000168002-0.3209442.17e-183.42e-140.5540.712Malignant cellsNA

TM2D1

ENSG00000162604-0.3209823.93e-196.21e-150.3420.515Malignant cellsNA

TMX1

ENSG00000139921-0.3211918.43e-191.33e-140.450.616Malignant cellsNA

MORF4L1

ENSG00000185787-0.3216518.72e-281.38e-230.9730.99Malignant cellsNA

CFDP1

ENSG00000153774-0.3216611.91e-203.02e-160.5240.695Malignant cellsNA

CCDC107

ENSG00000159884-0.3218941.88e-162.97e-120.630.736Malignant cellsNA

CCDC167

ENSG00000198937-0.3224755.70e-179.00e-130.5510.679Malignant cellsNA

CTPS1

ENSG00000171793-0.3225945.94e-239.38e-190.2290.423Malignant cellsNA

UBE2E3

ENSG00000170035-0.3227567.04e-211.11e-160.9270.968Malignant 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."