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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

DCBLD2

ENSG000000570190.2883130.00e+000.00e+000.7180.542Malignant cellsNA

AMZ2

ENSG000001967040.2873360.00e+000.00e+000.5710.385Malignant cellsNA

TPGS2

ENSG000001347790.2867610.00e+000.00e+000.580.39Malignant cellsNA

RNASEH2A

ENSG000001048890.2858110.00e+000.00e+000.5010.346Malignant cellsNA

EBNA1BP2

ENSG000001173950.2853770.00e+002.80e-450.6950.589Malignant cellsNA

PPARG

ENSG000001321700.2850650.00e+000.00e+000.3060.119Malignant cellsNA

MKKS

ENSG000001258630.284070.00e+000.00e+000.7440.603Malignant cellsNA

IL1B

ENSG000001255380.2837740.00e+000.00e+000.2520.108Malignant cellsNA

POP7

ENSG000001723360.2834660.00e+000.00e+000.640.47Malignant cellsNA

HMGA2

ENSG000001499480.2832740.00e+000.00e+000.7560.599Malignant cellsNA

HAUS1

ENSG000001522400.2829160.00e+000.00e+000.4540.278Malignant cellsNA

PFN2

ENSG000000700870.282730.00e+000.00e+000.6730.5Malignant cellsNA

RAD23A

ENSG000001792620.2825240.00e+000.00e+000.9180.858Malignant cellsNA

SLC25A39

ENSG000000133060.2816320.00e+000.00e+000.7260.568Malignant cellsNA

SMS

ENSG000001021720.2812670.00e+000.00e+000.9160.839Malignant cellsNA

MANCR

ENSG000002312980.2811110.00e+000.00e+000.3160.124Malignant cellsNA

H2AZ2

ENSG000001059680.2796670.00e+000.00e+000.8030.707Malignant cellsNA

FLNA

ENSG000001969240.278160.00e+000.00e+000.6320.446Malignant cellsNA

NDUFB4

ENSG000000655180.2777960.00e+000.00e+000.9370.873Malignant cellsNA

MMP24OS

ENSG000001260050.2777040.00e+000.00e+000.4110.248Malignant cellsNA

TSPAN4

ENSG000002140630.2771270.00e+000.00e+000.6510.473Malignant cellsNA

CLIC1

ENSG000002266510.2758330.00e+000.00e+000.9410.891Malignant cellsNA

TMEM106C

ENSG000001342910.2756250.00e+000.00e+000.6080.448Malignant cellsNA

PCBP1

ENSG000001695640.2742460.00e+000.00e+000.7270.568Malignant cellsNA

SEC61G

ENSG000001324320.2739810.00e+000.00e+000.9930.972Malignant cellsNA

METTL27

ENSG000001651710.2736120.00e+000.00e+000.3870.207Malignant cellsNA

PSMD2

ENSG000001751660.2730160.00e+000.00e+000.5090.343Malignant cellsNA

MAGOHB

ENSG000001111960.2723260.00e+000.00e+000.4890.329Malignant cellsNA

GAMT

ENSG000001300050.2722530.00e+000.00e+000.6030.425Malignant cellsNA

UBE2V2

ENSG000001691390.2717990.00e+000.00e+000.6610.522Malignant cellsNA

GTF2H5

ENSG000002720470.2713480.00e+000.00e+000.550.373Malignant cellsNA

MRPL14

ENSG000001809920.2709610.00e+000.00e+000.7350.604Malignant cellsNA

PSMB2

ENSG000001260670.2705070.00e+000.00e+000.8570.774Malignant cellsNA

MYEOV

ENSG000001729270.2698920.00e+000.00e+000.3660.169Malignant cellsNA

ALDH3B1

ENSG000000065340.2685320.00e+000.00e+000.2950.116Malignant cellsNA

CAVIN1

ENSG000001774690.2683820.00e+000.00e+000.5120.321Malignant cellsNA

C4orf3

ENSG000001640960.2682920.00e+000.00e+000.5690.424Malignant cellsNA

DBI

ENSG000001553680.2682390.00e+000.00e+000.7960.683Malignant cellsNA

HSPB11

ENSG000000818700.2678160.00e+000.00e+000.620.467Malignant cellsNA

RTL8A

ENSG000002039500.2675730.00e+000.00e+000.5890.419Malignant cellsNA

HSPB1

ENSG000001062110.265440.00e+000.00e+000.9930.981Malignant cellsNA

SLC25A4

ENSG000001517290.265120.00e+000.00e+000.6430.48Malignant cellsNA

NBPF14

ENSG000002706290.2638740.00e+000.00e+000.3180.136Malignant cellsNA

NDUFAF3

ENSG000001780570.2632290.00e+000.00e+000.9030.816Malignant cellsNA

EEF2

ENSG000001676580.2622910.00e+000.00e+000.9970.993Malignant cellsNA

MYOF

ENSG000001381190.2621670.00e+000.00e+000.3140.131Malignant cellsNA

ABL2

ENSG000001433220.2619790.00e+000.00e+000.4090.241Malignant cellsNA

VCL

ENSG000000354030.2612290.00e+000.00e+000.3540.177Malignant cellsNA

TXNL4A

ENSG000001417590.2612150.00e+000.00e+000.7980.685Malignant cellsNA

ACYP1

ENSG000001196400.2609090.00e+000.00e+000.3090.129Malignant 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

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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."