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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

MT-ATP6

ENSG000001988990.3566984.61e-383.56e-3411Malignant cellsNA

DSCAM

ENSG000001715870.3532992.76e-292.13e-250.4260.225Malignant cellsNA

FTH1

ENSG000001679960.3477640.00e+003.49e-420.9991Malignant cellsNA

NDUFS3

ENSG000002853870.3454332.03e-241.57e-200.6390.457Malignant cellsNA

PPDPF

ENSG000001255340.3415419.29e-337.17e-290.9550.881Malignant cellsNA

SLC39A6

ENSG000001414240.3399712.81e-362.17e-320.9780.858Malignant cellsNA

EPB41L4A-AS1

ENSG000002240320.3393447.05e-215.44e-170.5820.431Malignant cellsNA

ALDOA

ENSG000001499250.3375973.36e-222.60e-180.740.59Malignant cellsNA

FAU

ENSG000001498060.333412.35e-401.82e-3611Malignant cellsNA

EEF1D

ENSG000002735940.3300835.94e-364.58e-320.9940.983Malignant cellsNA

HIGD2A

ENSG000001460660.3282723.04e-222.34e-180.6940.549Malignant cellsNA

JUND

ENSG000001305220.3264681.48e-211.14e-170.8810.778Malignant cellsNA

FIS1

ENSG000002142530.3251033.41e-252.63e-210.6070.418Malignant cellsNA

CYB561

ENSG000000082830.3227524.89e-223.78e-180.580.418Malignant cellsNA

ZFP36

ENSG000001280160.3224247.76e-205.99e-160.5460.382Malignant cellsNA

TBC1D16

ENSG000001672910.3223513.93e-173.03e-130.7260.616Malignant cellsNA

LINC00963

ENSG000002040540.3215824.31e-273.32e-230.3710.186Malignant cellsNA

RPLP2

ENSG000001776000.3212987.00e-345.40e-300.9960.985Malignant cellsNA

RPS28

ENSG000002339270.3149980.00e+000.00e+0011Malignant cellsNA

LYPD3

ENSG000001244660.3148491.83e-241.41e-200.4860.297Malignant cellsNA

AMOTL1

ENSG000001660250.3129591.54e-331.19e-290.2890.098Malignant cellsNA

TFAP2C

ENSG000000875100.3120012.26e-181.74e-140.5850.426Malignant cellsNA

MALAT1

ENSG000002515620.3080974.02e-223.10e-180.5690.385Malignant cellsNA

SRM

ENSG000001166490.3071698.25e-156.36e-110.6660.564Malignant cellsNA

PTPA

ENSG000001193830.3045413.54e-202.74e-160.6130.465Malignant cellsNA

KRT7

ENSG000001354800.3028363.42e-152.64e-110.2920.166Malignant cellsNA

BNIP3

ENSG000001761710.3023657.61e-185.87e-140.6310.484Malignant cellsNA

IFITM3

ENSG000001420890.3014535.88e-254.53e-210.9860.965Malignant cellsNA

JUNB

ENSG000001712230.3011344.65e-173.59e-130.6260.479Malignant cellsNA

MRPS15

ENSG000001168980.2966073.32e-172.56e-130.5890.457Malignant cellsNA

PSMC5

ENSG000000871910.2902913.89e-183.00e-140.6110.463Malignant cellsNA

RPS23

ENSG000001864680.288675.08e-373.92e-3310.999Malignant cellsNA

MT-ND3

ENSG000001988400.2878579.36e-207.22e-160.9991Malignant cellsNA

ELOVL2

ENSG000001979770.2876025.64e-224.35e-180.320.156Malignant cellsNA

ASS1

ENSG000001307070.2874769.43e-177.27e-130.6020.461Malignant cellsNA

ECH1

ENSG000002828530.2862894.46e-173.44e-130.5590.427Malignant cellsNA

UQCRB

ENSG000001564670.2847845.03e-233.88e-190.9350.853Malignant cellsNA

FAM162A

ENSG000001140230.2839661.09e-148.39e-110.6640.544Malignant cellsNA

MOCS2

ENSG000001641720.2829651.21e-149.37e-110.6780.535Malignant cellsNA

CBX4

ENSG000001415820.279094.94e-163.81e-120.7170.59Malignant cellsNA

CHCHD2

ENSG000001061530.2788552.20e-261.70e-220.9990.999Malignant cellsNA

KLF9

ENSG000001191380.2783921.49e-201.15e-160.3310.173Malignant cellsNA

RARS

NA0.2776588.77e-156.77e-110.4910.348Malignant cellsNA

SLC38A1

ENSG000001113710.2773042.77e-192.14e-150.550.387Malignant cellsNA

NPM1

ENSG000001811630.2772213.44e-332.65e-2910.999Malignant cellsNA

PTGES3

ENSG000001109580.2754521.67e-181.29e-140.9220.848Malignant cellsNA

VGF

ENSG000001285640.2725783.95e-213.05e-170.3550.19Malignant cellsNA

RPL18A

ENSG000001056400.2724225.10e-313.93e-270.9990.999Malignant cellsNA

FAM120A

ENSG000000488280.2667454.53e-153.49e-110.7760.685Malignant cellsNA

RPL13A

ENSG000001425410.2661132.55e-321.97e-2811Malignant 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."