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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: GSE163836

Dataset summary for GSE163836

Datast informationDatasetGSE163836
PMID36409824
Raw data ID/linkPRJNA685991
OrganismHomo sapiens
SourceFCIBC02 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Inflammatory breast cancer
Regimenpaclitaxel
Drug typeChemotherapy
Sample sizeresistant 1, sensitive 1
Cell number7358
Extract protocol10x genomics
Data processingCellRanger
Public datePublic on Nov 02, 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 GSE163836

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Paclitaxel"

DB01229

small moleculeTUBB1; BCL2; MAP4; MAP2; MAPT; NR1I2Q9H4B7; P10415; P27816; P11137; P10636; O75469

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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

DHFR

ENSG00000228716-0.2591220.00e+001.82e-440.2880.469Malignant cellsNA

RFT1

ENSG00000163933-0.2591390.00e+000.00e+000.0960.282Malignant cellsNA

PEA15

ENSG00000162734-0.2592592.38e-404.07e-360.4260.598Malignant cellsNA

SLC30A9

ENSG00000014824-0.259350.00e+000.00e+000.1330.335Malignant cellsNA

POLR2D

ENSG00000144231-0.2594330.00e+000.00e+000.1410.336Malignant cellsNA

ACO2

ENSG00000100412-0.2596130.00e+000.00e+000.2320.435Malignant cellsNA

MRPS22

ENSG00000175110-0.2601250.00e+000.00e+000.2490.433Malignant cellsNA

GALE

ENSG00000117308-0.2601670.00e+000.00e+000.2270.424Malignant cellsNA

PWP1

ENSG00000136045-0.26020.00e+001.40e-450.3760.568Malignant cellsNA

PPIB

ENSG00000166794-0.2603265.71e-399.76e-350.9280.965Malignant cellsNA

SDHAF2

ENSG00000167985-0.2605020.00e+000.00e+000.320.528Malignant cellsNA

RNF26

ENSG00000173456-0.2606410.00e+000.00e+000.0940.278Malignant cellsNA

WDR13

ENSG00000101940-0.2608770.00e+000.00e+000.2760.48Malignant cellsNA

CHAMP1

ENSG00000198824-0.2611970.00e+000.00e+000.1220.306Malignant cellsNA

TROAP

ENSG00000135451-0.2614490.00e+000.00e+000.1450.322Malignant cellsNA

ITPA

ENSG00000125877-0.2619792.24e-443.81e-400.4810.657Malignant cellsNA

NCBP2

ENSG00000114503-0.2621250.00e+000.00e+000.4770.687Malignant cellsNA

WDR83OS

ENSG00000105583-0.2622180.00e+000.00e+000.9950.999Malignant cellsNA

SLMAP

ENSG00000163681-0.2623040.00e+000.00e+000.1890.388Malignant cellsNA

KATNB1

ENSG00000140854-0.2628760.00e+000.00e+000.0750.264Malignant cellsNA

ALKBH2

ENSG00000189046-0.2630050.00e+000.00e+000.2790.476Malignant cellsNA

MAPKAPK3

ENSG00000114738-0.2630530.00e+000.00e+000.1460.338Malignant cellsNA

LINC00116

NA-0.2630990.00e+005.32e-440.4410.627Malignant cellsNA

ASCC2

ENSG00000100325-0.2633220.00e+000.00e+000.1180.315Malignant cellsNA

ATPAF1

ENSG00000123472-0.2635070.00e+000.00e+000.2040.415Malignant cellsNA

FARP1

ENSG00000152767-0.2636780.00e+000.00e+000.2040.407Malignant cellsNA

DHX29

ENSG00000067248-0.264280.00e+000.00e+000.1520.351Malignant cellsNA

ZNF259

NA-0.2644790.00e+000.00e+000.1610.353Malignant cellsNA

PHTF1

ENSG00000116793-0.2645240.00e+000.00e+000.0780.267Malignant cellsNA

ALKBH3

ENSG00000166199-0.2645690.00e+000.00e+000.2030.404Malignant cellsNA

PLEKHA1

ENSG00000107679-0.2645940.00e+000.00e+000.2080.412Malignant cellsNA

UBN1

ENSG00000118900-0.2647110.00e+000.00e+000.2660.462Malignant cellsNA

LPHN1

NA-0.2647290.00e+000.00e+000.1370.344Malignant cellsNA

NOL10

ENSG00000115761-0.2647940.00e+000.00e+000.1950.399Malignant cellsNA

HPS1

ENSG00000107521-0.2649020.00e+000.00e+000.2690.472Malignant cellsNA

FAM86A

NA-0.2649180.00e+000.00e+000.1970.394Malignant cellsNA

IRF3

ENSG00000126456-0.2651420.00e+004.20e-450.4380.636Malignant cellsNA

PYCARD

ENSG00000103490-0.265430.00e+000.00e+000.1510.325Malignant cellsNA

HSPA9

ENSG00000113013-0.2654674.05e-356.92e-310.5930.743Malignant cellsNA

FKBP10

ENSG00000141756-0.2654940.00e+000.00e+000.2870.488Malignant cellsNA

TCEAL4

ENSG00000133142-0.2655250.00e+000.00e+000.4230.623Malignant cellsNA

PRPSAP2

ENSG00000141127-0.265620.00e+000.00e+000.1560.351Malignant cellsNA

CLEC11A

ENSG00000105472-0.2660160.00e+000.00e+000.2270.422Malignant cellsNA

URI1

ENSG00000105176-0.266050.00e+001.40e-450.5190.71Malignant cellsNA

PPP1R8

ENSG00000117751-0.2664360.00e+000.00e+000.180.38Malignant cellsNA

TMEM139

ENSG00000178826-0.2666150.00e+000.00e+000.1260.317Malignant cellsNA

DDX46

ENSG00000145833-0.266722.80e-454.07e-410.7770.894Malignant cellsNA

EGLN1

ENSG00000135766-0.2667460.00e+000.00e+000.1360.344Malignant cellsNA

MAGEF1

ENSG00000177383-0.2667950.00e+000.00e+000.350.554Malignant cellsNA

C1orf85

NA-0.2670040.00e+000.00e+000.2050.402Malignant 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 Pathway9.20e-124.60e-11176178111323467Malignant cellsANXA2,AURKA,BAX,CDK4,CDK6,CERS2,CRYAB,DCTD,DNMT1,EGFR,FADD,GSTP1,HMGA1,HSPA1A,ID1,IDH2,IFI27,JUN,PKM,MTA1,NFE2L2,PARP1,PEA15,RPS6,S100A4,ST3GAL4,SOX4,SOX9,STMN1,TPD52,YWHAZ,SLC25A5,ALDH1A3,ANXA1,ATG3,BAD,BID,BRD4,BTG1,CCND1,CCNE1,CCNG1,CD44,CDKN2A,CLTC,CAPNS1,DUSP1,DUSP2,DHFR,E2F1,EHF,EIF3A,HSP90B1,EZH2,GAPDH,G6PD,HAX1,HDAC3,HMGB2,HSPB1,EIF4A1,EIF4A3,ITGB1,JAG1,KEAP1,LDHA,MGMT,MOB1A,MAP2K1,MSH6,MYBL2,NOTCH2,NOTCH3,NTRK2,NUCKS1,OAZ2,PABPC1,PGK1,AGPAT2,POMP,PRKDC,PSMB5,RAC1,RAF1,RAB22A,RRM2,RND3,HNRNPA1,RSU1,SDC2,SDHB,SFPQ,SIAH2,SMC4,SMUG1,TPT1,UCP2,YBX1,YEATS4,ZNF217,ENO1,FASN,GNAS,CALR,GNAQ,CEBPD,EIF4EBP1,TM7SF2,PMVK,EBP,NUPR1,SIRT6,ACAT2
Aberration of the Drug's Therapeutic Target1.70e-024.20e-021761901323467Malignant cellsCDK4,CDK6,EGFR,IDH2,CDKN2A,DHFR,EZH2,MAP2K1,MSH6,SF3B1,COMT,AKR1B1,TOP2A
Drug Inactivation by Structure Modification1.40e-012.30e-01176127423467Malignant cellsGSTP1,CYP1B1,NME1,CMPK1
Irregularity in Drug Uptake and Drug Efflux7.80e-019.70e-01176137223467Malignant cellsABCB1,SLC34A2
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0017614551323467Malignant cellsDNMT1,EGFR,H2AFY,IDH2,MTA1,CDKN2A,EZH2,GAPDH,SMC4,TIMP1,MALAT1,SMYD2,MT-CO2


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
motiftransfac_pro__M074363.70.0656WT1 (directAnnotation). Malignant cells
motiftransfac_pro__M074613.690.0655KLF1; KLF10; KLF11; KLF12; KLF13; KLF15; KLF16; KLF17; KLF2; KLF3; KLF4; KLF5; KLF6; KLF7; KLF8; KLF9 (directAnnotation). Malignant cells
motiftransfac_pro__M049163.660.0652TAF1 (directAnnotation). Malignant cells
motifmetacluster_3.143.620.0648WT1; WT1 (directAnnotation). Malignant cells
motiftransfac_pro__M012193.60.0647SP1 (directAnnotation). SP3 (inferredBy_Orthology). Malignant cells
motifhdpi__TFAM3.560.0643TFAM (directAnnotation). Malignant cells
motiftransfac_pro__M020893.530.064E2F3 (directAnnotation). Malignant cells
motiftransfac_pro__M073293.530.064SP7 (directAnnotation). Malignant cells
motiftransfac_pro__M011223.50.0638ZNF219 (directAnnotation). Malignant cells
motifkznf__ZNF311_Imbeault2017_RP_ChIP-seq3.490.0636ZNF311 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT8.130.0658ETS2 (directAnnotation). Malignant cells
motifmetacluster_34.47.460.0621ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
motifmetacluster_191.36.80.0584EHF; 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
motifjaspar__MA1483.26.710.0579ELF2 (directAnnotation). Malignant cells
motifmetacluster_191.26.660.0577ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_166.46.490.0567BCLAF1; 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__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr6.150.0549ELF1; MEIS1 (directAnnotation). Malignant cells
motiftransfac_pro__M048266.130.0547EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP6.110.0546ETV5; HOXA2 (directAnnotation). Malignant cells
motifhdpi__FLI15.850.0532FLI1 (directAnnotation). 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

ELF3

metacluster_166.4upMalignant cellsNA

ELF5

metacluster_166.4upMalignant cellsNA

FOS

metacluster_174.2upMalignant cellsNA

PBX1

metacluster_174.2upMalignant cellsNA

ZNF580

metacluster_138.2upMalignant cellsNA

KLF2

transfac_pro__M07461upMalignant cellsNA

MAZ

homer__GGGGGGGG_MazupMalignant cellsNA

KLF2

transfac_pro__M08819upMalignant cellsNA

MAZ

metacluster_133.2upMalignant cellsNA

EHF

metacluster_191.3downMalignant cellsNA
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1"Sun X, Zhang Y, Li H, Zhou Y, Shi S, Chen Z, He X, Zhang H, Li F, Yin J, Mou M, Wang Y, Qiu Y, Zhu F. DRESIS: the first comprehensive landscape of drug resistance information. Nucleic Acids Res. 2023 Jan 6;51(D1):D1263-D1275. doi: 10.1093/nar/gkac812. PMID: 36243960; PMCID: PMC9825618."
2"Wishart DS, Feunang YD, Guo AC, Lo EJ, Marcu A, Grant JR, Sajed T, Johnson D, Li C, Sayeeda Z, Assempour N, Iynkkaran I, Liu Y, Maciejewski A, Gale N, Wilson A, Chin L, Cummings R, Le D, Pon A, Knox C, Wilson M. DrugBank 5.0: a major update to the DrugBank database for 2018. Nucleic Acids Res. 2018 Jan 4;46(D1):D1074-D1082. doi: 10.1093/nar/gkx1037. PMID: 29126136; PMCID: PMC5753335."