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: 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.

Top

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

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

MT-TL1

ENSG00000209082-1.026692.36e-156.61e-110.9931Malignant cellsNA

AC015849.19

NA-1.02785.41e-101.51e-050.3530.694Malignant cellsNA

FANCD2

ENSG00000144554-1.028385.30e-111.48e-060.920.985Malignant cellsNA

NAA50

ENSG00000121579-1.028997.14e-172.00e-1210.993Malignant cellsNA

GCN1

ENSG00000089154-1.029871.40e-083.92e-040.940.993Malignant cellsNA

DLGAP5

ENSG00000126787-1.030362.83e-117.92e-070.820.985Malignant cellsNA

NDNF

ENSG00000173376-1.030532.76e-077.73e-030.380.687Malignant cellsNA

SKA1

ENSG00000262634-1.030941.19e-083.34e-040.6730.896Malignant cellsNA

FAM111B

ENSG00000189057-1.031546.92e-071.94e-020.5470.784Malignant cellsNA

DHFR

ENSG00000228716-1.032727.40e-122.07e-070.7730.97Malignant cellsNA

ZNF28

ENSG00000198538-1.034031.40e-073.92e-030.6070.866Malignant cellsNA

RFC5

ENSG00000111445-1.035439.00e-112.52e-060.8730.978Malignant cellsNA

RP11-273G15.2

NA-1.036451.28e-073.59e-030.340.627Malignant cellsNA

HSPA1L

ENSG00000236251-1.03721.41e-073.95e-030.3670.694Malignant cellsNA

DNA2

ENSG00000138346-1.037436.34e-071.77e-020.4930.799Malignant cellsNA

AQR

ENSG00000021776-1.037918.43e-092.36e-040.9070.978Malignant cellsNA

KIF23

ENSG00000137807-1.039499.63e-102.69e-050.660.918Malignant cellsNA

ENPP2

ENSG00000136960-1.039631.87e-095.22e-050.2130.56Malignant cellsNA

GP6

ENSG00000278670-1.041089.40e-092.63e-040.6730.828Malignant cellsNA

RP11-613D13.5

NA-1.041881.27e-073.56e-030.2070.515Malignant cellsNA

DLEU2

ENSG00000231607-1.044866.15e-071.72e-020.8470.888Malignant cellsNA

PRR11

ENSG00000068489-1.047041.04e-102.90e-060.8470.97Malignant cellsNA

CEP55

ENSG00000138180-1.048491.10e-073.07e-030.6330.851Malignant cellsNA

RP11-20I20.1

NA-1.050021.76e-094.91e-050.380.731Malignant cellsNA

RAB27A

ENSG00000069974-1.050538.89e-072.49e-020.6670.896Malignant cellsNA

NEK2

ENSG00000117650-1.051081.47e-084.11e-040.6530.896Malignant cellsNA

SLC39A4

ENSG00000285243-1.051937.94e-082.22e-030.90.97Malignant cellsNA

ATAD2

ENSG00000156802-1.053264.81e-131.35e-080.8330.978Malignant cellsNA

HIST2H2AC

NA-1.054691.19e-093.32e-050.360.709Malignant cellsNA

IL20RB

ENSG00000174564-1.055995.22e-071.46e-020.360.664Malignant cellsNA

LBX2-AS1

ENSG00000257702-1.056392.37e-096.63e-050.3130.687Malignant cellsNA

KIF2C

ENSG00000142945-1.05913.60e-101.01e-050.4870.843Malignant cellsNA

IFITM10

ENSG00000281618-1.061692.02e-075.65e-030.3730.701Malignant cellsNA

PHF19

ENSG00000119403-1.064132.51e-107.01e-060.940.978Malignant cellsNA

RAD18

ENSG00000070950-1.069132.42e-086.76e-040.8530.948Malignant cellsNA

CDCA3

ENSG00000111665-1.070591.79e-075.01e-030.6470.843Malignant cellsNA

MCM7

ENSG00000166508-1.070746.81e-121.90e-070.9130.993Malignant cellsNA

CBX1

ENSG00000108468-1.071616.86e-121.92e-0710.993Malignant cellsNA

REEP4

ENSG00000168476-1.072331.18e-063.30e-020.7330.881Malignant cellsNA

TOMM40

ENSG00000130204-1.074328.69e-102.43e-050.980.993Malignant cellsNA

DSCC1

ENSG00000136982-1.075471.22e-083.42e-040.4870.836Malignant cellsNA

CTC-479C5.12

NA-1.075784.85e-081.36e-030.3130.627Malignant cellsNA

PLIN2

ENSG00000147872-1.079911.45e-084.06e-040.8870.963Malignant cellsNA

CHAF1A

ENSG00000167670-1.08191.03e-062.89e-020.7730.881Malignant cellsNA

DDX55

ENSG00000111364-1.082065.75e-101.61e-050.980.993Malignant cellsNA

SPC24

ENSG00000161888-1.084394.97e-111.39e-060.8130.978Malignant cellsNA

NUF2

ENSG00000143228-1.087425.30e-111.48e-060.5470.888Malignant cellsNA

AC092881.1

NA-1.091513.05e-078.53e-030.320.634Malignant cellsNA

CTB-119C2.1

NA-1.094683.19e-088.93e-040.3870.724Malignant cellsNA

PRC1

ENSG00000198901-1.094862.30e-126.44e-080.880.985Malignant 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

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
boxplot
boxplot
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

boxplot

boxplot

boxplot

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

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
boxplot
boxplotboxplot
boxplot

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
Page: 1 2 3

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

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
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."