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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

KIF22

ENSG000000796160.3617430.00e+004.22e-430.6680.551Malignant cellsNA

BRI3

ENSG000001647130.3583870.00e+000.00e+000.9540.901Malignant cellsNA

EPRS

NA0.3574390.00e+000.00e+000.8310.776Malignant cellsNA

ARHGAP21

ENSG000001078630.3574030.00e+000.00e+000.370.168Malignant cellsNA

UBA52

ENSG000002219830.3560260.00e+000.00e+0011Malignant cellsNA

SNRPD3

ENSG000001000280.3551370.00e+000.00e+000.8950.829Malignant cellsNA

CALU

ENSG000001285950.3544890.00e+000.00e+000.7490.652Malignant cellsNA

C4orf48

ENSG000002434490.3532180.00e+000.00e+000.9690.912Malignant cellsNA

ZFP36L1

ENSG000001856500.3500220.00e+000.00e+000.8960.805Malignant cellsNA

ATP5E

NA0.3499790.00e+000.00e+0010.999Malignant cellsNA

ENAH

ENSG000001543800.3499560.00e+001.84e-420.690.595Malignant cellsNA

SERF2

ENSG000001402640.3493710.00e+000.00e+0011Malignant cellsNA

TOP2A

ENSG000001317470.3477422.17e-083.70e-040.4060.369Malignant cellsNA

TPM1

ENSG000001404160.3474682.31e-423.96e-380.9810.936Malignant cellsNA

KLF2

ENSG000001275280.3447788.33e-201.43e-150.4720.389Malignant cellsNA

HSPA2

ENSG000001268030.3443648.32e-431.42e-380.7380.646Malignant cellsNA

SUMO2

ENSG000001886120.342350.00e+000.00e+000.9930.987Malignant cellsNA

JAG1

ENSG000001013840.3412540.00e+000.00e+000.3930.22Malignant cellsNA

GNAQ

ENSG000001560520.3411942.20e-393.76e-350.5430.418Malignant cellsNA

ACTR6

ENSG000000750890.34010.00e+001.40e-440.4380.271Malignant cellsNA

ESRP1

ENSG000001044130.3376748.51e-431.46e-380.5370.4Malignant cellsNA

COX6C

ENSG000001649190.3373640.00e+000.00e+0011Malignant cellsNA

RSL24D1

ENSG000001378760.3348860.00e+000.00e+000.8670.799Malignant cellsNA

LAMTOR4

ENSG000001881860.3348590.00e+000.00e+000.9360.894Malignant cellsNA

HSPB1

ENSG000001062110.334630.00e+000.00e+0010.982Malignant cellsNA

TUBB4B

ENSG000001882290.3343859.81e-451.67e-400.8510.781Malignant cellsNA

TKT

ENSG000001639310.3340740.00e+000.00e+000.9830.961Malignant cellsNA

CNFN

ENSG000001054270.3336382.66e-444.66e-400.5350.388Malignant cellsNA

TPM3

ENSG000001435490.3325110.00e+000.00e+000.9860.973Malignant cellsNA

TOB1

ENSG000001412320.3312180.00e+000.00e+000.3690.192Malignant cellsNA

PUM1

ENSG000001346440.3299621.40e-451.22e-410.4590.302Malignant cellsNA

HSP90AA1

ENSG000000808240.3282490.00e+000.00e+000.9991Malignant cellsNA

PLEC

ENSG000001782090.3266591.72e-422.95e-380.4590.309Malignant cellsNA

H2AFJ

NA0.3256190.00e+000.00e+000.9810.945Malignant cellsNA

SFPQ

ENSG000001165600.3246376.70e-421.15e-370.7830.727Malignant cellsNA

RPL39

ENSG000001989180.3211260.00e+000.00e+0011Malignant cellsNA

DDX21

ENSG000001657320.3188445.44e-439.30e-390.7870.722Malignant cellsNA

METAP2

ENSG000001111420.316369.76e-391.67e-340.6390.539Malignant cellsNA

PTPRF

ENSG000001429490.3163190.00e+000.00e+000.8460.784Malignant cellsNA

HNRNPAB

ENSG000001974510.316040.00e+002.47e-430.9550.914Malignant cellsNA

NDUFS6

ENSG000001454940.3147810.00e+000.00e+000.9960.981Malignant cellsNA

EGFR

ENSG000001466480.3135950.00e+000.00e+000.3380.16Malignant cellsNA

SMIM22

ENSG000002677950.3126870.00e+004.76e-440.4960.319Malignant cellsNA

ACTN4

ENSG000002828440.3121424.92e-418.41e-370.7730.715Malignant cellsNA

RGS10

ENSG000001489080.3098650.00e+000.00e+000.9410.904Malignant cellsNA

SLCO3A1

ENSG000001764630.3097120.00e+001.40e-450.3280.162Malignant cellsNA

CCL28

ENSG000001518820.3091522.92e-404.99e-360.4220.261Malignant cellsNA

PRRC2C

ENSG000001175230.3071660.00e+000.00e+000.9720.961Malignant cellsNA

GUCY1A3

NA0.3059631.40e-451.32e-410.8990.828Malignant cellsNA

SLC26A2

ENSG000001558500.3056188.65e-321.48e-270.3790.244Malignant 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."