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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 (This dataset does not contain this module)

Dataset: GSE104987

Dataset summary for GSE104987

Datast informationDatasetGSE104987
PMID30472020
Raw data ID/linkPRJNA414337
OrganismHomo sapiens
SourceMCF7 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2ER+ breast cancer
RegimenKDM5-C70
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 1
Cell number2669
Extract protocolinDrop v3
Data processingindrops pipeline
Public datePublic on Oct 03, 2018
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 GSE104987

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"KDM5-C70" is not included in the drug list.

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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

PTP4A1

ENSG000001122450.2655161.88e-121.45e-080.780.704Malignant cellsNA

NDUFS2

ENSG000001588640.2648652.54e-161.96e-120.6010.451Malignant cellsNA

SEMA3C

ENSG000000752230.264659.65e-147.44e-100.6740.545Malignant cellsNA

C12orf45

NA0.2621491.60e-141.24e-100.3630.231Malignant cellsNA

TMEM179B

ENSG000001854750.2611131.30e-171.00e-130.40.248Malignant cellsNA

RPS4X

ENSG000001980340.2608945.82e-304.49e-260.9980.998Malignant cellsNA

RPS16

ENSG000001051930.2586153.68e-252.84e-210.9990.998Malignant cellsNA

SLC39A4

ENSG000002852430.2578632.46e-161.90e-120.4780.332Malignant cellsNA

KIF22

ENSG000000796160.2556669.72e-147.50e-100.510.382Malignant cellsNA

FAM107B

ENSG000000658090.2507472.10e-181.62e-140.3590.205Malignant cellsNA

SCCPDH

ENSG00000143653-0.2501461.77e-121.36e-080.2720.387Malignant cellsNA

CCT6A

ENSG00000146731-0.2507784.17e-123.22e-080.6840.757Malignant cellsNA

SH3BGRL

ENSG00000131171-0.2509113.40e-152.63e-110.3160.455Malignant cellsNA

CAST

ENSG00000153113-0.2511791.67e-191.29e-150.2140.369Malignant cellsNA

SH3BGRL3

ENSG00000142669-0.251483.12e-152.40e-110.2840.421Malignant cellsNA

PLSCR1

ENSG00000188313-0.2519734.13e-233.19e-190.1480.304Malignant cellsNA

NOC2L

ENSG00000188976-0.2521621.48e-111.14e-070.3140.424Malignant cellsNA

RNF7

ENSG00000114125-0.2525321.12e-168.63e-130.3780.523Malignant cellsNA

KCTD3

ENSG00000136636-0.2531312.41e-121.86e-080.5120.612Malignant cellsNA

ARF1

ENSG00000143761-0.2534371.35e-131.04e-090.8110.865Malignant cellsNA

CHKA

ENSG00000110721-0.2536911.31e-191.01e-150.1770.322Malignant cellsNA

NOP10

ENSG00000182117-0.254042.05e-161.58e-120.4830.627Malignant cellsNA

INPP4B

ENSG00000109452-0.2540955.93e-244.57e-200.140.299Malignant cellsNA

SUMO3

ENSG00000184900-0.254214.03e-153.11e-110.6590.782Malignant cellsNA

IDI1

ENSG00000067064-0.2561721.31e-121.01e-080.4130.526Malignant cellsNA

EIF2S2

ENSG00000125977-0.256651.16e-128.96e-090.6740.746Malignant cellsNA

DMKN

ENSG00000161249-0.2574621.50e-151.16e-110.3930.535Malignant cellsNA

HMCES

ENSG00000183624-0.2576122.02e-211.56e-170.1810.336Malignant cellsNA

OLFM1

ENSG00000130558-0.2578013.21e-152.48e-110.2410.374Malignant cellsNA

PLEKHB2

ENSG00000115762-0.2586887.20e-175.56e-130.2740.417Malignant cellsNA

WRB

NA-0.2592981.01e-167.81e-130.2530.396Malignant cellsNA

CAMTA1

ENSG00000171735-0.2602816.39e-174.93e-130.2940.446Malignant cellsNA

SYTL5

ENSG00000147041-0.2612368.93e-316.89e-270.090.256Malignant cellsNA

CECR5

NA-0.2613729.25e-147.14e-100.3440.465Malignant cellsNA

MT-CO1

ENSG00000198804-0.2618243.61e-222.79e-180.9970.999Malignant cellsNA

SEPT2

NA-0.2620832.04e-121.57e-080.6710.753Malignant cellsNA

VDAC1

ENSG00000213585-0.2627673.46e-142.67e-100.7310.813Malignant cellsNA

OAS3

ENSG00000111331-0.2635767.48e-165.78e-120.3190.465Malignant cellsNA

SELT

NA-0.264631.19e-139.16e-100.5640.676Malignant cellsNA

LSM5

ENSG00000106355-0.2653474.13e-163.18e-120.5250.658Malignant cellsNA

RP11-697E2.6

NA-0.2671461.77e-171.36e-130.3410.491Malignant cellsNA

EI24

ENSG00000149547-0.2672891.37e-161.06e-120.4110.558Malignant cellsNA

PABPC1

ENSG00000070756-0.2679026.87e-335.30e-2911Malignant cellsNA

TMEM106C

ENSG00000134291-0.2689561.17e-189.03e-150.2770.431Malignant cellsNA

PIAS3

ENSG00000131788-0.2692241.54e-181.19e-140.3060.461Malignant cellsNA

CMTM6

ENSG00000091317-0.2693925.09e-223.93e-180.210.372Malignant cellsNA

DSCAM-AS1

ENSG00000235123-0.2702844.68e-103.61e-060.9920.985Malignant cellsNA

SEC23A

ENSG00000100934-0.2706562.63e-242.03e-200.1560.315Malignant cellsNA

TPM3

ENSG00000143549-0.2718947.88e-156.08e-110.4690.596Malignant cellsNA

PARD6B

ENSG00000124171-0.2726763.81e-112.94e-070.7330.802Malignant cellsNA
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Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples

check buttonEnrichment results for 5 known drug-resistant mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

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

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

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Mechanism analysis of drug resistance-related DEGs for each cell type in the post-treatment samples

check buttonEnrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)

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

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

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. Enrichment results for 5 known drug resistance mechanisms in malignant cells and 1 known mechanism in TME cells are shown here.The "Signature" column represents the differentially expressed genes (DEGs) used for enrichment. The "Geneset" column represents the genes included in this mechanism. The "Overlap" column represents the number of genes in the "Geneset" that are enriched in the "Signature". The "Enriched Genes" column represents the genes in the "Geneset" that are enriched in the "Signature". (If the image exists, the user can click on it to enlarge it in a new window.)
Enrichment results for 5 known drug resistance mechanisms in malignant cells
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MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway1.20e-075.90e-073037813023467Malignant cellsAREG,AURKA,CERS2,IGF1R,ISG15,MUC1,SOX9,NET1,HSPA5,HSP90B1,FN1,FIS1,FTL,G6PD,HSPB1,PABPC1,PIAS3,PSMB5,NRAS,SEC23A,SRI,SRSF2,TPT1,TOP1,UCP2,GNAS,NPM1,IDI1,SQLE,CREBZF
Irregularity in Drug Uptake and Drug Efflux3.80e-018.80e-0130337123467Malignant cellsSLC7A5
Aberration of the Drug's Therapeutic Target6.90e-018.80e-0130390123467Malignant cellsNPM1
Epigenetic Alteration of DNA, RNA or Protein7.00e-018.80e-01303455523467Malignant cellsIGF1R,TRIP6,TIMP1,MALAT1,H19
Drug Inactivation by Structure Modification1.00e+001.00e+0030327023467Malignant 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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check buttonHallmark, KEGG and GOBP enrichment results for down-regulated genes in resistant group. Only show the top 50 pathways with fdr<0.05. If certain cell types are not displayed, it means that there are no significant pathways based on DEGs in those cell types. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP

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MicroRNAs (miRNAs) regulating drug resistance-related DEGs for malignant cells

check buttonIn the pre-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonIn the post-treatment samples, the miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. If the gene does not have any miRNAs with a score greater than 80, it will not be shown. Here only the names of miRNAs with a score greater than 90 are shown, but some names will not be shown because of too many overlaps. (Complete files containing all datasets and cell types can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The miRNAs with a score greater than 80 that regulate the top10 abs(avg_log2FC) drug resistance-related DEGs for Malignant cells are shown here. Here only the names of miRNAs with a score greater than 80 are shown, but some names will not be shown because of too many overlaps. If the gene does not have any miRNAs with a score greater than 90, it will not be shown. (Complete files containing all datasets and cell types can be downloaded from the download section.)
Regulating up-regulated DEGs in resistant groupRegulating down-regulated DEGs in resistant group
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
motiftaipale_tf_pairs__CEBPG_ATF4_NNATGAYGCAAT_CAP4.10.085ATF4; CEBPG (directAnnotation). Malignant cells
motifmetacluster_122.173.990.0835IRF6 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV2_TEF_RSCGGAWNTTRCGYAAN_CAP3.920.0826ETV2; TEF (directAnnotation). Malignant cells
motiftaipale_tf_pairs__TFAP4_DLX3_NNCAGCTGNNNNNNNTAATTN_HT3.920.0825DLX3; TFAP4 (directAnnotation). Malignant cells
motifmetacluster_130.153.790.0808ARID5B; ARID5B; BPTF (directAnnotation). Malignant cells
motiftransfac_pro__M081873.780.0806ABL1 (directAnnotation). Malignant cells
motifswissregulon__hs__FUBP13.770.0804FUBP1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ELK1_TEF_NSCGGAWNTTACGTAAN_CAP3.740.0801ELK1; TEF (directAnnotation). Malignant cells
motiftransfac_pro__M020023.70.0794MECOM; RUNX1 (directAnnotation). Malignant cells
motiftransfac_pro__M065123.530.0771ZNF461 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifhomer__TWVGGTCCGC_HINFP4.60.0814HINFP (directAnnotation). Malignant cells
motiftransfac_pro__M065344.550.0809ZNF563 (directAnnotation). Malignant cells
motiftransfac_pro__M074484.310.0783ZBED1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__GCM1_SPDEF_RTRSKGGCGGANNNNNNATCCNNN_CAP_repr4.260.0778GCM1; SPDEF (directAnnotation). Malignant cells
motifmetacluster_172.234.250.0777ZBTB32; ZBTB32 (directAnnotation). Malignant cells
motiftransfac_pro__M061404.060.0756ZNF250 (directAnnotation). Malignant cells
motifmetacluster_111.64.050.0756GMEB1; GMEB2 (directAnnotation). Malignant cells
motiftransfac_pro__M065263.620.0709ZNF555 (directAnnotation). Malignant cells
motiftransfac_pro__M059233.510.0698SCRT1 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M011163.480.0695ARNTL; ARNTL2 (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.)



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."