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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: GSE164897_Vem

Dataset summary for GSE164897_Vem

Datast informationDatasetGSE164897_Vem
PMID34591417
Raw data ID/linkPRJNA692421
OrganismHomo sapiens
SourceA375 cell line
TissueCell line
Cancer type level1Melanoma
Cancer type level2BRAFV600E-mutant melanoma
Regimenvemurafenib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 1
Cell number11008
Extract protocol10x genomics
Data processingCellRanger
Public datePublic on Jan 16, 2021
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 GSE164897_Vem

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Vemurafenib"

DB08881

small moleculeBRAFP15056

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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

SPANXB1

ENSG000002272342.296510.00e+000.00e+000.9650.458Malignant cellsNA

C19orf33

ENSG000001676442.167180.00e+000.00e+000.9770.449Malignant cellsNA

KRT7

ENSG000001354801.429910.00e+000.00e+000.9140.452Malignant cellsNA

AP3S1

ENSG000001778791.284430.00e+000.00e+000.9310.802Malignant cellsNA

S100A2

ENSG000001967541.268050.00e+000.00e+000.8740.547Malignant cellsNA

SPANXC

ENSG000001985731.154560.00e+000.00e+000.7270.183Malignant cellsNA

CAV1

ENSG000001059741.117710.00e+000.00e+000.820.375Malignant cellsNA

MT2A

ENSG000001251481.111380.00e+000.00e+000.9990.995Malignant cellsNA

TM4SF1

ENSG000001699081.062560.00e+000.00e+000.7950.367Malignant cellsNA

S100A4

ENSG000001961541.060310.00e+000.00e+000.8390.632Malignant cellsNA

SERINC2

ENSG000001685281.020820.00e+000.00e+000.650.231Malignant cellsNA

KRT18

ENSG000001110570.9817170.00e+000.00e+000.9990.991Malignant cellsNA

GAGE2A

ENSG000001890640.9584490.00e+000.00e+000.4740.037Malignant cellsNA

GDF15

ENSG000001305130.9222580.00e+000.00e+000.3650.125Malignant cellsNA

SLC14A1

ENSG000001414690.9160890.00e+000.00e+000.6230.19Malignant cellsNA

CALM2

ENSG000001439330.8739240.00e+000.00e+000.9690.922Malignant cellsNA

CDKN1A

ENSG000001247620.871850.00e+000.00e+000.560.306Malignant cellsNA

RPS27L

ENSG000001850880.8685240.00e+000.00e+000.9870.925Malignant cellsNA

ARHGAP29

ENSG000001379620.8588880.00e+000.00e+000.6720.211Malignant cellsNA

PRSS23

ENSG000001506870.844330.00e+000.00e+000.6460.224Malignant cellsNA

TINAGL1

ENSG000001429100.8277190.00e+000.00e+000.8170.468Malignant cellsNA

TGM2

ENSG000001989590.8260960.00e+000.00e+000.6430.23Malignant cellsNA

FOSL1

ENSG000001755920.8207740.00e+000.00e+000.8290.611Malignant cellsNA

IL24

ENSG000001628920.7554230.00e+000.00e+000.640.396Malignant cellsNA

S100A10

ENSG000001977470.7314320.00e+000.00e+0010.999Malignant cellsNA

AREG

ENSG000001093210.7300630.00e+000.00e+000.4350.112Malignant cellsNA

IGFBP4

ENSG000001417530.7082250.00e+000.00e+000.5140.139Malignant cellsNA

LMNA

ENSG000001607890.7026460.00e+000.00e+000.9780.908Malignant cellsNA

DMKN

ENSG000001612490.6698070.00e+000.00e+000.5890.203Malignant cellsNA

HMGA1

ENSG000001373090.6426340.00e+000.00e+0010.999Malignant cellsNA

AKAP12

ENSG000001310160.6371440.00e+000.00e+000.6380.353Malignant cellsNA

ATG12

ENSG000001457820.6281630.00e+000.00e+000.7340.498Malignant cellsNA

PKM

ENSG000000672250.6277340.00e+000.00e+000.9990.999Malignant cellsNA

DKK1

ENSG000001079840.6268660.00e+000.00e+000.4950.164Malignant cellsNA

S100A6

ENSG000001979560.6212390.00e+000.00e+0011Malignant cellsNA

RHOF

ENSG000001397250.6054840.00e+000.00e+000.5840.216Malignant cellsNA

PLAAT3

ENSG000001764850.5984580.00e+000.00e+000.8120.515Malignant cellsNA

RUNX1

ENSG000001592160.5946930.00e+000.00e+000.3860.096Malignant cellsNA

IGFBP6

ENSG000001677790.5860720.00e+000.00e+000.8370.541Malignant cellsNA

SORBS2

ENSG000001545560.5802780.00e+000.00e+000.6230.37Malignant cellsNA

MGST1

ENSG000000083940.5778950.00e+000.00e+000.8660.664Malignant cellsNA

LINC00973

ENSG000002404760.5758130.00e+000.00e+000.5250.194Malignant cellsNA

DUSP4

ENSG000001208750.5697080.00e+000.00e+000.7920.56Malignant cellsNA

ANKRD1

ENSG000001486770.5656770.00e+000.00e+000.3890.176Malignant cellsNA

TNFRSF12A

ENSG000000063270.5639130.00e+000.00e+000.9830.939Malignant cellsNA

CTNNAL1

ENSG000001193260.5622560.00e+000.00e+000.5970.286Malignant cellsNA

MOK

ENSG000000808230.5515430.00e+000.00e+000.4760.154Malignant cellsNA

S100A11

ENSG000001631910.5454390.00e+000.00e+000.9990.996Malignant cellsNA

BNIP3

ENSG000001761710.5447630.00e+000.00e+000.7450.536Malignant cellsNA

ANXA5

ENSG000001641110.5438890.00e+000.00e+000.7380.465Malignant 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
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway1.40e-147.10e-143557814523467Malignant cellsANXA2,AREG,ATG12,BAX,BIK,CDKN1A,HMGA1,HMGA2,ID1,PKM,NFE2L2,NFKB1,PPARG,S100A4,STMN1,AKAP12,ANXA1,BAD,CAV2,CCN1,CCND1,HSPD1,DKK1,EPHA2,HMGB2,HSPB1,IL1B,IL24,LDHA,MAGEA3,NF2,NQO1,PGK1,ERBB3,S100A11,SOX10,UBE2C,AXL,YBX1,ENO1,GNAS,NPM1,EIF4EBP1,MDK,TRIB3
Aberration of the Drug's Therapeutic Target1.60e-013.90e-0135590323467Malignant cellsIL1B,NPM1,AKR1B1
Epigenetic Alteration of DNA, RNA or Protein5.40e-018.90e-01355455723467Malignant cellsBIK,LMNA,PPARG,PMAIP1,TIMP1,CYTOR,MALAT1
Drug Inactivation by Structure Modification1.00e+001.00e+0035527023467Malignant cells
Irregularity in Drug Uptake and Drug Efflux1.00e+001.00e+0035537023467Malignant cells


check buttonHallmark, KEGG and GOBP enrichment results for up-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Up-regulated HallmarkUp-regulated KEGGUp-regulated GO BP

boxplot

boxplot

boxplot

check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP

boxplot

boxplot

boxplot

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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
motifmetacluster_137.25.580.0778ATF3; BACH2; BATF; BATF; BATF; BATF; BATF3; FOS; FOS; FOS; FOS; FOS; FOS; FOS; FOS; FOS; FOS; FOSB; FOSB; FOSB; FOSB; FOSB; FOSL1; FOSL1; FOSL1; FOSL1; FOSL1; FOSL2; FOSL2; FOSL2; FOSL2; FOSL2; FOSL2; FOSL2; INSM2; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUNB; JUNB; JUNB; JUNB; JUNB; JUND; JUND; JUND; JUND; JUND; SMARCC1 (directAnnotation). ATF3; ATF3; BATF; FOS; FOSB; FOSL1; FOSL1; FOSL2; FOSL2; FOSL2; JUN; JUN; JUN; JUN; JUN; JUN; JUN; JUNB; JUND; JUND; JUND; JUND (inferredBy_Orthology). Malignant cells
motifmetacluster_157.25.060.073ATF3; ATF3; ATF3; BACH1; BACH1; BACH1; BACH2; BACH2; BACH2; BACH2; BATF; BATF; BCL11A; FOS; FOS; FOS; FOS; FOS; FOS; FOSB; FOSL1; FOSL1; FOSL1; FOSL1; FOSL1; FOSL1; FOSL2; FOSL2; FOSL2; JDP2; JDP2; JDP2; JDP2; JDP2; JDP2; JDP2; JUN; JUN; JUN; JUN; JUN; JUNB; JUNB; JUNB; JUNB; JUNB; JUNB; JUND; JUND; JUND; JUND; JUND; JUND; JUND; JUND; JUND; MAF; MAFB; MAFF; MAFG; MAFK; NFE2; NFE2; NFE2; NFE2; NFE2; NFE2; NFE2L1; NFE2L1; NFE2L2; NFE2L3; ZNF3; ZSCAN5C (directAnnotation). FOSL1; JUN; JUN; JUN; JUNB; JUNB; JUND (inferredBy_Orthology). Malignant cells
motifmetacluster_22.344.210.0652BACH2 (directAnnotation). Malignant cells
motifmetacluster_74.233.960.063HNF1B (inferredBy_Orthology). Malignant cells
motiftfdimers__MD004563.850.0619E2F6; OVOL2 (directAnnotation). Malignant cells
motifmetacluster_22.213.780.0613NFE2L2 (inferredBy_Orthology). Malignant cells
motifmetacluster_22.373.710.0607BACH1 (directAnnotation). Malignant cells
motiftfdimers__MD002693.620.0598CRX; PBX1 (directAnnotation). Malignant cells
motifmetacluster_22.133.60.0596MAFK (inferredBy_Orthology). Malignant cells
motifmetacluster_74.53.540.0591HNF1B (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__HOXB2_ETV1_ACCGGAAATGA_CAP4.520.0984ETV1; HOXB2 (directAnnotation). Malignant cells
motiftransfac_pro__M061564.170.0931ZNF75D (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MGA_DLX2_SYAATTANWGGTGYGA_CAP4.130.0925DLX2; MGA (directAnnotation). Malignant cells
motiftaipale_tf_pairs__HOXB2_ETV4_ACCGGAAATGAN_CAP4.050.0913ETV4; HOXB2 (directAnnotation). Malignant cells
motifmetacluster_141.43.990.0904GLIS2 (directAnnotation). Malignant cells
motiftfdimers__MD004893.950.0897IRF1; NR3C1 (directAnnotation). Malignant cells
motiftransfac_pro__M053993.940.0896SCRT2 (inferredBy_Orthology). Malignant cells
motifcisbp__M018163.880.0886JUN (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETV5_DLX2_RSCGGAANNNNNYAATTA_CAP3.670.0853DLX2; ETV5 (directAnnotation). Malignant cells
motiftransfac_public__M000243.650.085E2F1 (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

FOSL1

metacluster_137.2upMalignant cellsNA

FOSL1

metacluster_157.2upMalignant cellsNA

FOSL1

metacluster_50.1upMalignant cellsNA

SOX10

metacluster_153.3downMalignant cellsNA

NFE2L2

metacluster_157.2downMalignant cellsNA

NFE2L2

metacluster_22.21downMalignant cellsNA

NFE2L2

metacluster_22.32downMalignant 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."