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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

EPHA2

ENSG000001426270.5435310.00e+000.00e+000.5490.207Malignant cellsNA

AXL

ENSG000001676010.5405320.00e+000.00e+000.7080.466Malignant cellsNA

GPRC5A

ENSG000000135880.5382130.00e+000.00e+000.6990.458Malignant cellsNA

FHL2

ENSG000001156410.5371950.00e+000.00e+000.5990.35Malignant cellsNA

BAX

ENSG000000870880.5286570.00e+000.00e+000.7920.575Malignant cellsNA

MIR4435-2HG

ENSG000001729650.5274620.00e+000.00e+000.6250.31Malignant cellsNA

CCND1

ENSG000001100920.526640.00e+000.00e+000.8960.775Malignant cellsNA

PDLIM1

ENSG000001074380.51660.00e+000.00e+000.5780.276Malignant cellsNA

CAPN2

ENSG000001629090.5136440.00e+000.00e+000.6720.366Malignant cellsNA

ACTB

ENSG000000756240.5014330.00e+000.00e+000.9990.999Malignant cellsNA

CCN1

ENSG000001428710.4982150.00e+000.00e+000.4270.172Malignant cellsNA

GAGE1

ENSG000002057770.4974020.00e+000.00e+000.4230.106Malignant cellsNA

SNRPG

ENSG000001439770.4910980.00e+000.00e+000.9870.985Malignant cellsNA

GADD45A

ENSG000001167170.4787411.82e-442.80e-400.5470.415Malignant cellsNA

THBS1

ENSG000001378010.4776640.00e+000.00e+000.4640.188Malignant cellsNA

NPC2

ENSG000001196550.4748280.00e+000.00e+000.930.779Malignant cellsNA

SNAPC1

ENSG000000236080.4738030.00e+000.00e+000.4370.244Malignant cellsNA

APOBEC3G

ENSG000002397130.4693060.00e+000.00e+000.360.109Malignant cellsNA

PTTG1

ENSG000001646110.464560.00e+000.00e+000.7340.581Malignant cellsNA

C12orf75

ENSG000002351620.459650.00e+000.00e+000.6790.41Malignant cellsNA

UBE2C

ENSG000001750630.4514010.00e+000.00e+000.460.316Malignant cellsNA

DDB2

ENSG000001345740.4475930.00e+000.00e+000.430.207Malignant cellsNA

TXN

ENSG000001368100.4434650.00e+000.00e+0010.999Malignant cellsNA

ANXA2

ENSG000001827180.4426350.00e+000.00e+000.9180.978Malignant cellsNA

FTH1

ENSG000001679960.4425430.00e+000.00e+0011Malignant cellsNA

ANPEP

ENSG000001668250.4414130.00e+000.00e+000.50.218Malignant cellsNA

UBE2T

ENSG000000771520.441380.00e+000.00e+000.4780.278Malignant cellsNA

SUB1

ENSG000001133870.4389680.00e+000.00e+000.9630.886Malignant cellsNA

ANXA1

ENSG000001350460.4372670.00e+000.00e+000.8680.721Malignant cellsNA

PLAUR

ENSG000000114220.4367330.00e+000.00e+000.5430.287Malignant cellsNA

CD9

ENSG000000102780.4261670.00e+000.00e+000.610.35Malignant cellsNA

RPA3

ENSG000001063990.4242960.00e+000.00e+000.7390.591Malignant cellsNA

C4orf48

ENSG000002434490.4240710.00e+000.00e+000.7170.475Malignant cellsNA

CDC20

ENSG000001173990.4230040.00e+000.00e+000.4790.29Malignant cellsNA

LY6K

ENSG000001608860.4188930.00e+000.00e+000.690.508Malignant cellsNA

UBE2S

ENSG000001081060.4188580.00e+000.00e+000.90.862Malignant cellsNA

ALDOA

ENSG000001499250.4160740.00e+000.00e+0010.999Malignant cellsNA

RHEB

ENSG000001066150.4141710.00e+000.00e+000.7960.639Malignant cellsNA

H1-2

ENSG000001878370.4138972.35e-393.72e-350.4050.295Malignant cellsNA

CSTB

ENSG000001602130.4100730.00e+000.00e+000.8990.776Malignant cellsNA

PLK2

ENSG000001456320.4091110.00e+000.00e+000.4320.204Malignant cellsNA

DRAP1

ENSG000001755500.4086050.00e+000.00e+000.9630.899Malignant cellsNA

SCG5

ENSG000002776140.4080120.00e+000.00e+000.5120.279Malignant cellsNA

SLC9A3R2

ENSG000000650540.4063710.00e+000.00e+000.470.216Malignant cellsNA

PGK1

ENSG000001021440.4056230.00e+000.00e+000.890.832Malignant cellsNA

PLAT

ENSG000001043680.4049070.00e+000.00e+000.360.137Malignant cellsNA

TMSB10

ENSG000000345100.4032320.00e+000.00e+0011Malignant cellsNA

CKS1B

ENSG000001732070.3981070.00e+000.00e+000.7840.706Malignant cellsNA

BIK

ENSG000001002900.39660.00e+000.00e+000.3220.074Malignant cellsNA

COX17

ENSG000001384950.394940.00e+000.00e+000.9810.937Malignant 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

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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

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."