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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

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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

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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

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

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Mechanism analysis of drug resistance-related DEGs for each cell type in one patient or cell lines (This dataset does not contain this module)

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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: GSE162117

Dataset summary for GSE162117

Datast informationDatasetGSE162117
PMID34514432
Raw data ID/linkPRJNA680611
OrganismHomo sapiens
Sourcepatients
TissuePeripheral blood mononuclear cells
Cancer type level1Acute myeloid leukemia
Cancer type level2Tefractory acute myeloid leukemia (AML)
Regimenficlatuzumab
Drug typeTargeted therapy
Sample sizepre (resistant 4, sensitive 7); post (resistant 3, sensitive 6)
Cell number43486
Extract protocol10x genomics
Data processingCellRanger 2.0.1
Public datePublic on Sep 03, 2021
DescriptionThis dataset has 11 patients, 9 of whom have both pre- and post-treatment samples.

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Drug summary for GSE162117

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"ficlatuzumab" 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

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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.)

boxplot

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.)

boxplot

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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.)

resistant vs. sensitive

boxplot
Dot plot of significant ligand-receptor pairs in the resistant groupDot plot of significant ligand-receptor pairs in the sensitive group
boxplotboxplot

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.)

resistant vs. sensitive

boxplot
Dot plot of significant ligand-receptor pairs in the resistant groupDot plot of significant ligand-receptor pairs in the sensitive group
boxplotboxplot

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.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

RPL36A

ENSG000002413430.624924.57e-208.44e-160.8840.7NK cellspre

RPS29

ENSG000002137410.6199811.22e-322.25e-2811NK cellspre

MT-ND3

ENSG000001988400.5961796.66e-241.23e-1910.987NK cellspre

IFITM3

ENSG000001420890.5739611.97e-113.64e-070.3780.173NK cellspre

RPS28

ENSG000002339270.5606977.09e-331.31e-2811NK cellspre

RPS21

ENSG000001718580.5068092.88e-225.33e-1810.992NK cellspre

DONSON

ENSG000001591470.4825241.38e-182.54e-140.4890.195NK cellspre

RPL37

ENSG000001455920.4794323.21e-295.94e-2511NK cellspre

RPL38

ENSG000001728090.4412477.74e-181.43e-130.9960.99NK cellspre

RPL39

ENSG000001989180.4298668.94e-221.65e-1711NK cellspre

RPS4Y1

ENSG000001298240.4228024.93e-129.12e-080.6890.429NK cellspre

RPL37A

ENSG000001977560.422092.83e-215.23e-1711NK cellspre

XCL2

ENSG000001431850.4193121.14e-062.11e-020.3020.164NK cellspre

RPS27

ENSG000001779540.4062847.72e-161.43e-1111NK cellspre

RPL36

ENSG000001302550.4017365.91e-181.09e-1310.99NK cellspre

IFITM2

ENSG000001852010.3906791.66e-073.07e-030.8270.723NK cellspre

IL2RB

ENSG000001003850.3552081.16e-062.15e-020.3470.2NK cellspre

RPL41

ENSG000002291170.3518751.10e-212.03e-1711NK cellspre

IFITM1

ENSG000001858850.3499422.75e-075.09e-030.4130.255NK cellspre

RPL23

ENSG000001256910.3422299.53e-111.76e-060.9910.98NK cellspre

EIF5A

ENSG000002881450.3302881.09e-082.02e-040.4270.234NK cellspre

MT-ND2

ENSG000001987630.3179082.68e-114.96e-0710.998NK cellspre

CD44

ENSG000000265080.2999921.74e-083.22e-040.4890.277NK cellspre

RPL31

ENSG000000710820.2982892.51e-104.64e-0611NK cellspre

S100A8

ENSG000001435460.2881251.63e-073.02e-030.4490.264NK cellspre

RPS24

ENSG000001383260.2795243.20e-105.92e-0610.998NK cellspre

FXYD5

ENSG000000893270.270641.35e-062.49e-020.6310.442NK cellspre

RPL35A

ENSG000001828990.2617783.29e-096.09e-050.9961NK cellspre

RPS19

ENSG000001053720.257072.36e-084.36e-0411NK cellspre

EMP3

ENSG00000142227-0.3626876.95e-071.29e-020.6620.766NK cellspre

GIMAP7

ENSG00000179144-0.3701171.05e-081.95e-040.2670.489NK cellspre

ANXA1

ENSG00000135046-0.390271.15e-072.12e-030.4220.625NK cellspre

SUB1

ENSG00000113387-0.4248872.38e-084.39e-040.6490.766NK cellspre

GZMH

ENSG00000100450-0.5030431.95e-093.60e-050.5470.738NK cellspre

GZMA

ENSG00000145649-0.5147778.00e-121.48e-070.8090.941NK cellspre

FGFBP2

ENSG00000137441-0.5506932.80e-125.18e-080.2710.54NK cellspre

LGALS1

ENSG00000100097-0.5780715.13e-079.48e-030.60.74NK cellspre

CCL5

ENSG00000274233-0.6179811.01e-151.86e-110.8270.936NK cellspre

IFI6

ENSG000001267090.8443630.00e+000.00e+000.5510.352Malignant cellspre

ANKRD28

ENSG000002065600.8152070.00e+000.00e+000.480.287Malignant cellspre

ISG15

ENSG000001876080.7716830.00e+000.00e+000.5350.373Malignant cellspre

RPS29

ENSG000002137410.7494280.00e+000.00e+0010.997Malignant cellspre

CD99

ENSG000000025860.7393370.00e+000.00e+000.5440.377Malignant cellspre

RP11-620J15.3

NA0.7361260.00e+000.00e+000.3870.043Malignant cellspre

RPS21

ENSG000001718580.7264990.00e+000.00e+000.9930.955Malignant cellspre

MGST1

ENSG000000083940.7000260.00e+000.00e+000.5060.273Malignant cellspre

HINT1

ENSG000001695670.687510.00e+000.00e+000.7290.699Malignant cellspre

RPS3

ENSG000001492730.6492720.00e+000.00e+000.9970.998Malignant cellspre

SERPINB1

ENSG000000213550.6400850.00e+000.00e+000.6270.439Malignant cellspre

RPL31

ENSG000000710820.6259540.00e+000.00e+000.9950.985Malignant cellspre
Page: 1 2 3 4 5 6 7 8 9

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.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

FAM65B

NA0.5332921.37e-252.54e-210.5530.308cDCspost

PLAC8

ENSG000001452870.5285872.21e-214.09e-170.4560.225cDCspost

PPBP

ENSG000001637360.5058032.08e-203.85e-160.3330.117cDCspost

CST3

ENSG000001014390.4800461.81e-143.35e-1011cDCspost

DDX5

ENSG000001086540.4726571.56e-242.89e-200.9090.857cDCspost

IFI16

ENSG000001635650.4380911.43e-202.64e-160.6080.404cDCspost

TMSB4X

ENSG000002055420.4299351.68e-443.07e-4011cDCspost

OFD1

ENSG000000466510.4254623.67e-206.78e-160.3640.151cDCspost

MT-ND5

ENSG000001987860.4218193.28e-206.06e-160.9620.938cDCspost

PNRC1

ENSG000001462780.4139662.08e-193.84e-150.7290.538cDCspost

IFI6

ENSG000001267090.394852.75e-135.08e-090.3460.18cDCspost

MARCKS

ENSG000002774430.3903064.53e-168.37e-120.3830.193cDCspost

DUSP1

ENSG000001201290.389051.78e-153.30e-110.8690.824cDCspost

UBC

ENSG000001509910.385153.08e-165.69e-120.9090.852cDCspost

ISG15

ENSG000001876080.3776211.25e-082.31e-040.3880.251cDCspost

NKG7

ENSG000001053740.3748032.28e-144.22e-100.3510.171cDCspost

TPM3

ENSG000001435490.3714971.24e-132.29e-090.8470.777cDCspost

PSAP

ENSG000001977460.3687681.41e-142.61e-100.8090.721cDCspost

ITGA4

ENSG000001152320.3573262.23e-164.13e-120.4210.225cDCspost

CALM2

ENSG000001439330.3514828.02e-121.48e-070.9270.904cDCspost

CKLF

ENSG000002175550.3265158.97e-081.66e-030.6460.579cDCspost

MEF2C

ENSG000000811890.3263011.20e-122.22e-080.6680.521cDCspost

MYL12A

ENSG000001016080.3181121.99e-143.67e-100.9590.934cDCspost

ZFAS1

ENSG000001774100.31784.50e-128.31e-080.7660.622cDCspost

N4BP2L2

ENSG000002447540.3140942.91e-135.38e-090.5260.348cDCspost

RNASET2

ENSG000000262970.313173.28e-126.07e-080.7480.626cDCspost

FTL

ENSG000000870860.306471.85e-063.42e-0211cDCspost

HLA-DPA1

ENSG000002281630.3058832.12e-153.92e-110.9941cDCspost

MORF4L1

ENSG000001857870.3054087.90e-111.46e-060.6360.496cDCspost

DHRS9

ENSG000000737370.2999665.37e-199.92e-150.2540.074cDCspost

FOS

ENSG000001703450.2992541.17e-082.16e-040.9680.974cDCspost

PTPRC

ENSG000002624180.2987347.35e-101.36e-050.7810.718cDCspost

PKIB

ENSG000001355490.2947452.64e-144.88e-100.3050.136cDCspost

NCF1

ENSG000001585170.2945258.95e-111.65e-060.3490.196cDCspost

RPS19

ENSG000001053720.2924995.01e-309.26e-2611cDCspost

HLA-A

ENSG000002277150.2893878.65e-091.60e-040.8770.834cDCspost

DUSP6

ENSG000001393180.2860792.61e-124.82e-080.2540.106cDCspost

CCL5

ENSG000002742330.2848562.31e-064.28e-020.2540.153cDCspost

RP11-386I14.4

NA0.2844731.90e-073.52e-030.3730.257cDCspost

B2M

ENSG000002736860.281383.06e-265.66e-2211cDCspost

SEPT7

NA0.2808771.33e-092.46e-050.6140.478cDCspost

NPM1

ENSG000001811630.2797492.53e-074.68e-030.7770.775cDCspost

C12orf57

ENSG000001116780.2768055.43e-081.00e-030.3780.251cDCspost

EMB

ENSG000001705710.2724027.56e-101.40e-050.3590.219cDCspost

RPL36AL

ENSG000001655020.2654822.41e-114.46e-070.8760.858cDCspost

LCP1

ENSG000001361670.2595864.33e-088.01e-040.7380.63cDCspost

LST1

ENSG000002359150.2558363.58e-086.62e-040.9540.935cDCspost

SH3BGRL

ENSG000001311710.2541123.31e-086.13e-040.6330.513cDCspost

CAPG

ENSG00000042493-0.2501763.65e-136.75e-090.3960.607cDCspost

PLD4

ENSG00000166428-0.2505266.92e-141.28e-090.1790.364cDCspost
Page: 1 2 3 4 5 6 7 8 9 10 11 12

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.

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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.)
Enrichment results for 5 known drug-resistant mechanisms in malignant cells
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway8.40e-094.20e-082397812823467Malignant cellsANXA2,CDK6,GSTP1,ISG15,JUN,MCL1,MAP1LC3B,RPS6,S100A4,SOX4,HSPA5,BTG1,CD44,CLU,CXCR4,DUSP1,EGR1,GAPDH,NFKBIA,IL1B,MAP3K8,RAC1,HNRNPA1,S100A8,S100A11,SOD2,TNFAIP3,NPM1
Drug Inactivation by Structure Modification3.10e-027.70e-0223927223467Malignant cellsGSTP1,SOD2
Aberration of the Drug's Therapeutic Target6.40e-021.10e-0123990323467Malignant cellsCDK6,IL1B,NPM1
Epigenetic Alteration of DNA, RNA or Protein4.90e-016.20e-01239455523467Malignant cellsLMNA,CXCR4,GAPDH,MAP3K8,TIMP1
Irregularity in Drug Uptake and Drug Efflux1.00e+001.00e+0023937023467Malignant cells

Enrichment results for 1 known drug resistance mechanisms in TME cells

boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment1.00e+001.00e+0014186023467B cellsNA
Regulation by the Disease Microenvironment1.00e+001.00e+0031186023467CD4+ T cellsNA
Regulation by the Disease Microenvironment1.00e+001.00e+0040186023467CD8+ T cellsNA
Regulation by the Disease Microenvironment1.00e+001.00e+0029186023467cDCsNA
Regulation by the Disease Microenvironment1.00e+001.00e+0020186023467ErythrocytesNA
Regulation by the Disease Microenvironment1.00e+001.00e+0038186023467NK cellsNA

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.)
Up-regulated HallmarkUp-regulated KEGGUp-regulated GO BP
boxplotboxplotboxplot

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.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP
boxplotboxplotboxplot

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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.)
Enrichment results for 5 known drug resistance mechanisms in malignant cells
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway1.10e-055.50e-051207811523467Malignant cellsANXA2,DUSP6,ISG15,JUN,MCL1,RPS6,S100A4,CLU,NFKBIA,IL1B,S100A11,SOD2,TPT1,NPM1,CEBPD
Aberration of the Drug's Therapeutic Target7.80e-021.90e-0112090223467Malignant cellsIL1B,NPM1
Drug Inactivation by Structure Modification1.30e-012.20e-0112027123467Malignant cellsSOD2
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+00120455023467Malignant cells
Irregularity in Drug Uptake and Drug Efflux1.00e+001.00e+0012037023467Malignant cells

Enrichment results for 1 known drug resistance mechanisms in TME cells

boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment5.00e-015.00e-0187186123467CD4+ T cellsCXCR4
Regulation by the Disease Microenvironment2.60e-012.60e-0138186123467CD8+ T cellsMALAT1
Regulation by the Disease Microenvironment7.20e-027.20e-02197186423467cDCsCXCR4,IL1B,VIM,MALAT1
Regulation by the Disease Microenvironment1.00e+001.00e+0086186023467ErythrocytesNA
Regulation by the Disease Microenvironment1.00e+001.00e+0023186023467NK cellsNA
Regulation by the Disease Microenvironment1.00e+001.00e+0010186023467pDCsNA

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.)
Up-regulated HallmarkUp-regulated KEGGUp-regulated GO BP
boxplotboxplotboxplot

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.)
Down-regulated HallmarkDown-regulated KEGGDown-regulated GO BP
boxplotboxplotboxplot

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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.)

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.)

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.)

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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.)
Regulating up-regulated DEGs in resistant groupRegulating down-regulated DEGs in resistant group
boxplotboxplot

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.)
Regulating up-regulated DEGs in resistant groupRegulating down-regulated DEGs in resistant group
boxplotboxplot

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.)

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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.)
Motifs and TFs regulating up-regulated DEGs in resistant group of the pre-treatment samples
motifmotifNESAUCTF_highConfCell_type
motiftransfac_pro__M059397.630.238ZNF471 (directAnnotation). B cells
motiftransfac_pro__M066656.650.209ZNF599 (directAnnotation). B cells
motiftransfac_pro__M061926.160.195ZNF135 (directAnnotation). B cells
motiftransfac_pro__M059075.530.177ZNF416 (directAnnotation). B cells
motiftransfac_pro__M069695.450.175EBF4 (inferredBy_Orthology). B cells
motifmetacluster_106.25.360.172ZBTB32 (directAnnotation). B cells
motiftaipale_tf_pairs__HOXB2_ETV7_TAATKNNNNGNNNNNNCTTCCNN_CAP_repr5.330.171ETV7; HOXB2 (directAnnotation). B cells
motiftransfac_pro__M056244.950.16ZSCAN9 (directAnnotation). B cells
motiftransfac_pro__M049064.880.158SIN3A (directAnnotation). B cells
motiftransfac_pro__M047064.840.157RELA (directAnnotation). B cells
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Motifs and TFs regulating down-regulated DEGs in resistant group of the pre-treatment samples
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__GCM1_MAX_NNCACGTGNNNNNNNNNNRTGCGGGYRN_CAP_repr12.70.988GCM1; MAX (directAnnotation). B cells
motiftfdimers__MD0003112.70.982MYB; ZEB1 (directAnnotation). B cells
motiftransfac_pro__M0636212.60.977ZNF730 (directAnnotation). B cells
motiftransfac_pro__M0649012.60.976ZNF664 (directAnnotation). B cells
motiftaipale__NR4A2_full_AGGTCANNNNNTGACCT_repr12.50.969NR4A2 (directAnnotation). B cells
motifdbtfbs__CHAMP1_K562_ENCSR065XVO_merged_N112.40.964CHAMP1 (directAnnotation). B cells
motiftaipale_tf_pairs__GCM1_MAX_NNCACGTGNNNNNNNNNNRTGCGGGYRN_CAP12.30.955GCM1; MAX (directAnnotation). B cells
motifhocomoco__HSFY1_HUMAN.H11MO.0.D12.10.938HSFY1; HSFY2 (directAnnotation). B cells
motifcisbp__M0080812.10.937MYPOP (inferredBy_Orthology). B cells
motiftfdimers__MD0011511.90.925E2F1; NR1I2; RXRA (directAnnotation). B cells
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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.)
Motifs and TFs regulating up-regulated DEGs in resistant group of the post-treatment samples
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_22.135.10.117MAFK (inferredBy_Orthology). CD4+ T cells
motifmetacluster_22.364.980.115BACH2 (directAnnotation). CD4+ T cells
motifkznf__ZNF485_Imbeault2017_RP_RCADE4.930.114ZNF485 (directAnnotation). CD4+ T cells
motifmetacluster_22.374.790.111BACH1 (directAnnotation). CD4+ T cells
motiftransfac_pro__M068494.70.109ZNF528 (directAnnotation). CD4+ T cells
motifmetacluster_22.194.660.109NFE2 (directAnnotation). CD4+ T cells
motiftransfac_pro__M012294.560.107GTF2IRD1 (directAnnotation). CD4+ T cells
motifmetacluster_22.344.540.106BACH2 (directAnnotation). CD4+ T cells
motiftransfac_pro__M056364.540.106ZNF134; ZNF154; ZNF256; ZNF304; ZNF418; ZNF419; ZNF480; ZNF548; ZNF549; ZNF552; ZNF561; ZNF562; ZNF584; ZNF586; ZNF587B; ZNF610; ZNF772; ZNF773; ZNF792; ZNF793; ZNF837 (inferredBy_Orthology). CD4+ T cells
motifmetacluster_84.74.530.106RARA (directAnnotation). CD4+ T cells
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Motifs and TFs regulating down-regulated DEGs in resistant group of the post-treatment samples
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ERF_HOXA3_RSCGGAWNNNNNNNYMATTA_CAP_repr6.530.124ERF; HOXA3 (directAnnotation). CD4+ T cells
motifjaspar__MA0604.16.140.117ATF1 (inferredBy_Orthology). CD4+ T cells
motiftransfac_pro__M058945.420.105ZNF565 (directAnnotation). CD4+ T cells
motiftaipale_tf_pairs__ETV2_HOXA2_NCCGGAAGNNNNNNYMATTA_CAP5.310.103ETV2; HOXA2 (directAnnotation). CD4+ T cells
motiftransfac_pro__M063175.310.103ZNF829 (directAnnotation). CD4+ T cells
motiftaipale_cyt_meth__ZNF385D_NCGTCGCGACGN_eDBD_repr4.970.0976ZNF385D (directAnnotation). CD4+ T cells
motiftransfac_pro__M065694.890.0961ZNF775 (directAnnotation). CD4+ T cells
motiftaipale_tf_pairs__ELF2_NATGCGGAAGTR_HT4.790.0945ELF2 (directAnnotation). CD4+ T cells
motifcisbp__M017254.570.0908SREBF2 (inferredBy_Orthology). CD4+ T cells
motifjaspar__MA1509.14.280.086IRF6 (directAnnotation). CD4+ T cells
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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.)

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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

FOS

tfdimers__MD00090upCD4+ T cellspost

FOS

metacluster_50.1upCD4+ T cellspost

FOS

metacluster_137.2upCD4+ T cellspost

FOS

metacluster_157.2upcDCspost

JUN

metacluster_157.2upcDCspost

JUNB

metacluster_157.2downcDCspost

CEBPD

taipale_tf_pairs__FLI1_CEBPD_RNCGGANNTTGCGCAAN_CAPdowncDCspost

IRF1

tfdimers__MD00527downcDCspost

FOS

tfdimers__MD00475upErythrocytespost

FOS

tfdimers__MD00141upErythrocytespost
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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."