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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: GSE140440

Dataset summary for GSE140440

Datast informationDatasetGSE140440
PMID32513898
Raw data ID/linkPRJNA589746
OrganismHomo sapiens
SourceDU145 and PC cell lines
TissueCell line
Cancer type level1Prostate cancer
Cancer type level2Prostate cancer
Regimendocetaxel
Drug typeChemotherapy
Sample sizeresistant 2, sensitive 2
Cell number284
Extract protocolSMART-seq v4
Data processingNA
Public datePublic on Sep 01, 2020
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 GSE140440

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Docetaxel"

DB01248

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

NCAPG2

ENSG00000146918-0.910463.22e-089.02e-040.740.933Malignant cellsNA

ITGB1

ENSG00000150093-0.9107593.31e-109.25e-0611Malignant cellsNA

CEP78

ENSG00000148019-0.9110093.78e-071.06e-020.840.955Malignant cellsNA

SAC3D1

ENSG00000168061-0.9137675.36e-091.50e-040.9530.985Malignant cellsNA

GPN3

ENSG00000111231-0.915082.71e-167.58e-120.9871Malignant cellsNA

HDGF

ENSG00000143321-0.9156081.24e-203.48e-1611Malignant cellsNA

VSTM4

ENSG00000165633-0.9157331.40e-073.91e-030.90.955Malignant cellsNA

SCARNA13

ENSG00000252481-0.9158725.69e-111.59e-060.280.701Malignant cellsNA

HYPK

ENSG00000242028-0.9171516.29e-091.76e-0411Malignant cellsNA

ALDH2

ENSG00000111275-0.9181953.35e-079.37e-030.940.985Malignant cellsNA

POP5

ENSG00000167272-0.9182072.57e-117.18e-070.9870.985Malignant cellsNA

TIMM21

ENSG00000075336-0.9201411.47e-134.10e-0911Malignant cellsNA

PPAN

ENSG00000130810-0.9226082.37e-086.62e-040.80.888Malignant cellsNA

HSPA14

ENSG00000187522-0.9234677.55e-082.11e-030.90.94Malignant cellsNA

MIS18A

ENSG00000159055-0.9266116.77e-091.89e-040.8530.955Malignant cellsNA

MAD2L1

ENSG00000164109-0.9274051.16e-103.25e-060.8870.993Malignant cellsNA

SCARNA16

ENSG00000275143-0.9298062.33e-086.52e-040.3670.724Malignant cellsNA

PLXND1

ENSG00000004399-0.9314043.02e-088.44e-040.3930.716Malignant cellsNA

SLC12A8

ENSG00000221955-0.9330811.30e-063.63e-020.5730.739Malignant cellsNA

UHRF1

ENSG00000276043-0.9335851.95e-075.46e-030.960.985Malignant cellsNA

RNH1

ENSG00000276230-0.9356346.00e-101.68e-050.9870.993Malignant cellsNA

SETD8

NA-0.9362186.44e-071.80e-020.760.94Malignant cellsNA

RP11-226M10.3

NA-0.9368481.86e-075.21e-030.4670.754Malignant cellsNA

MRPL12

ENSG00000262814-0.9373311.02e-192.84e-150.9930.985Malignant cellsNA

PNN

ENSG00000100941-0.9382146.14e-121.72e-070.9931Malignant cellsNA

SKA3

ENSG00000165480-0.9382644.65e-081.30e-030.560.858Malignant cellsNA

PON3

ENSG00000105852-0.942072.80e-097.82e-050.3870.739Malignant cellsNA

RP11-661A12.8

NA-0.943313.65e-071.02e-020.2730.582Malignant cellsNA

RP11-333E13.2

NA-0.9436124.98e-071.39e-020.3330.627Malignant cellsNA

YRDC

ENSG00000196449-0.9468265.34e-111.49e-060.9130.933Malignant cellsNA

HR

ENSG00000168453-0.948334.41e-071.23e-020.3670.649Malignant cellsNA

PPP1CC

ENSG00000186298-0.9508521.11e-103.10e-060.9871Malignant cellsNA

GPER1

ENSG00000164850-0.9516473.99e-081.11e-030.260.604Malignant cellsNA

ZNF813

ENSG00000198346-0.9520549.25e-072.59e-020.5470.776Malignant cellsNA

RP11-169K17.3

NA-0.9556331.21e-063.38e-020.320.619Malignant cellsNA

HMX1

ENSG00000215612-0.9559342.76e-087.71e-040.0730.328Malignant cellsNA

SOGA1

ENSG00000149639-0.9565674.56e-071.28e-020.8070.955Malignant cellsNA

DHX36

ENSG00000281763-0.9603361.64e-084.59e-0410.993Malignant cellsNA

ABCF2

ENSG00000033050-0.9613581.16e-093.24e-050.880.993Malignant cellsNA

STRA13

NA-0.9621291.32e-223.68e-1810.993Malignant cellsNA

SDHAF3

ENSG00000196636-0.9636351.22e-083.41e-040.480.91Malignant cellsNA

MT-TK

ENSG00000210156-0.963743.37e-079.43e-030.80.843Malignant cellsNA

TIMM8A

ENSG00000126953-0.9639454.30e-071.20e-020.740.91Malignant cellsNA

PABPN1

ENSG00000100836-0.9654481.40e-083.91e-040.980.993Malignant cellsNA

MT-TF

ENSG00000210049-0.9661982.25e-126.30e-080.920.94Malignant cellsNA

TOPBP1

ENSG00000163781-0.9701395.16e-091.44e-040.8330.955Malignant cellsNA

UBE2M

ENSG00000130725-0.9720085.91e-171.65e-1211Malignant cellsNA

PCDHB5

ENSG00000113209-0.9740343.52e-089.84e-040.380.716Malignant cellsNA

WAC

ENSG00000095787-0.9741663.48e-079.73e-030.9931Malignant cellsNA

CCDC138

ENSG00000163006-0.9748836.85e-081.92e-030.5130.828Malignant 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 Pathway9.80e-064.90e-05235278111623467Malignant cellsADAM9,ANXA2,AREG,BCAT1,BIRC5,BRCA1,CCND2,CDCP1,CDK6,CDKN1A,DNMT1,FAM168A,GSK3B,HOXA13,IGF2BP1,JUN,MAP1LC3B,PARP1,SOCS2,SPRY2,TGFB1,TGFBR2,PBK,TYMS,VEGFA,AAMDC,ADAM22,SLC25A5,AGR2,ANXA1,BCL10,BTG1,BUB1,CBL,CCNA2,CCNB1,CDK1,CCND1,CCNG2,CD44,HSPD1,CLTC,CLU,CUL4B,CYLD,DUSP2,DHFR,E2F2,ENG,ERCC1,ETS1,EZH2,FANCD2,FGFR1,FUS,FZD1,GPER1,GRB2,GCLM,SLC16A3,HMGB2,HMGN5,HSPA8,EIF4A3,IL1B,CXCL8,ING4,ITGA5,ITGB1,KIF11,KLF4,LDHA,MXD4,NF2,MYBL2,MYO10,NOTCH3,PARP8,PDCD4,PLK1,PSMB5,PTPN12,RAD51,RAB22A,RAB27A,RICTOR,RRM1,RRM2,ROCK2,SDC2,SMC4,SNAI2,SRI,STARD10,TERT,TFAM,TMEM54,TOP2B,USP14,USP22,PLAU,ERCC4,YEATS4,PFKFB3,GNAS,HMGCS1,INSIG1,ITGB3,PRKCA,RCN1,SQLE,SPHK1,GGPS1,SAFB2,PDSS1,ACAT2
Irregularity in Drug Uptake and Drug Efflux1.60e-013.60e-01235237623467Malignant cellsABCB1,ABCC2,ABCA10,ABCF2,ABCE1,ABCG1
Drug Inactivation by Structure Modification2.80e-013.60e-01235227423467Malignant cellsGSS,NME1,CMPK1,CYP51A1
Aberration of the Drug's Therapeutic Target2.90e-013.60e-012352901123467Malignant cellsBRCA1,CDK6,DHFR,EZH2,FGFR1,IL1B,JAK1,COMT,DPP4,MAOA,TOP2A
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0023524552023467Malignant cellsDNMT1,GSK3B,H2AFY,HOXA13,EIF4G2,SPRY2,TYMS,EZH2,CXCL8,PDCD4,SMC4,TIMP1,SNHG1,LINC00261,GDI2,CDK14,CDR1,MX1,LINC00707,RP11-166P13.3


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
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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
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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

KLF13

metacluster_195.2upMalignant cellsNA

KLF9

metacluster_195.2upMalignant cellsNA

KLF4

metacluster_195.2upMalignant cellsNA

KLF7

metacluster_195.2upMalignant cellsNA

KLF13

hocomoco__KLF13_HUMAN.H11MO.0.DupMalignant cellsNA

KLF13

transfac_pro__M07461upMalignant cellsNA

KLF4

transfac_pro__M07461upMalignant cellsNA

KLF7

transfac_pro__M07461upMalignant cellsNA

KLF9

transfac_pro__M07461upMalignant cellsNA

KLF7

metacluster_170.2upMalignant 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."