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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 (This dataset does not contain this module)

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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

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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: GSE164237

Dataset summary for GSE164237

Datast informationDatasetGSE164237
PMID34911739
Raw data ID/linkPRJNA689600
OrganismHomo sapiens
Sourcepatients
TissuePeripheral blood mononuclear cells
Cancer type level1Melanoma
Cancer type level2Advanced stages of melanoma
Regimenpembrolizumab
Drug typeImmunotherapy
Sample sizepre (resistant 4, sensitive 4); post (resistant 4, sensitive 4)
Cell number23276
Extract protocol10x genomics
Data processingCellRanger 3.1.0
Public datePublic on Feb 18, 2022
DescriptionThis dataset has 8 patients with both pre -and post-treatment samples.

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Drug summary for GSE164237

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Pembrolizumab"

DB09037

biotechPDCD1; CD274Q15116; Q9NZQ7

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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.)

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.)

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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.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

MT-ND4

ENSG000001988860.7707810.00e+000.00e+000.9980.974CD8+ T cellspre

RPL41

ENSG000002291170.6688980.00e+000.00e+0010.994CD8+ T cellspre

RPL27A

ENSG000001664410.6610010.00e+000.00e+000.9950.916CD8+ T cellspre

RPS20

ENSG000000089880.6069070.00e+000.00e+000.990.877CD8+ T cellspre

RPL13A

ENSG000001425410.5415120.00e+000.00e+0010.994CD8+ T cellspre

CMC1

ENSG000001871180.5225241.08e-361.78e-320.460.383CD8+ T cellspre

MALAT1

ENSG000002515620.5204860.00e+000.00e+0011CD8+ T cellspre

MT-ND2

ENSG000001987630.5201480.00e+000.00e+000.9980.979CD8+ T cellspre

RPS4Y1

ENSG000001298240.5163750.00e+000.00e+000.550.238CD8+ T cellspre

RPL31

ENSG000000710820.4620630.00e+000.00e+000.9970.985CD8+ T cellspre

RPL38

ENSG000001728090.4380170.00e+000.00e+000.9990.984CD8+ T cellspre

RPL23

ENSG000001256910.4352290.00e+000.00e+000.960.863CD8+ T cellspre

RPL36A

ENSG000002413430.4151520.00e+000.00e+000.9980.957CD8+ T cellspre

RPS2

ENSG000001409880.4069360.00e+000.00e+0010.997CD8+ T cellspre

RPS17

ENSG000002782290.3984910.00e+000.00e+000.9460.841CD8+ T cellspre

RPS11

ENSG000001425340.3934520.00e+000.00e+000.9910.971CD8+ T cellspre

TMSB4X

ENSG000002055420.3783610.00e+000.00e+0011CD8+ T cellspre

RPL35

ENSG000001369420.3740230.00e+000.00e+000.9990.995CD8+ T cellspre

NFKBIA

ENSG000001009060.3738928.72e-271.44e-220.4440.375CD8+ T cellspre

RPL21

ENSG000001220260.3727770.00e+000.00e+0010.999CD8+ T cellspre

RPL7

ENSG000001476040.350060.00e+000.00e+000.9970.967CD8+ T cellspre

GNLY

ENSG000001155230.3373614.72e-277.77e-230.5460.436CD8+ T cellspre

RPS29

ENSG000002137410.3301440.00e+000.00e+0010.999CD8+ T cellspre

RPL23A

ENSG000001982420.3276610.00e+000.00e+0010.999CD8+ T cellspre

RPL27

ENSG000001314690.326530.00e+000.00e+000.9990.989CD8+ T cellspre

TRAC

ENSG000002777340.3181390.00e+008.88e-420.6190.546CD8+ T cellspre

RPS6

ENSG000001371540.3130970.00e+000.00e+0011CD8+ T cellspre

RPS9

ENSG000002746460.3057410.00e+000.00e+0010.997CD8+ T cellspre

RPS18

ENSG000002233670.2971910.00e+000.00e+0010.999CD8+ T cellspre

CXCR4

ENSG000001219660.2948470.00e+000.00e+000.5570.42CD8+ T cellspre

VIM

ENSG000000260250.2926610.00e+000.00e+000.8990.757CD8+ T cellspre

RPLP2

ENSG000001776000.2728970.00e+000.00e+0011CD8+ T cellspre

IL7R

ENSG000001686850.2716713.64e-356.00e-310.5140.412CD8+ T cellspre

RPL9

ENSG000001636820.2712640.00e+000.00e+0010.995CD8+ T cellspre

RPL17

ENSG000002656810.2711590.00e+000.00e+000.9950.965CD8+ T cellspre

SNHG8

ENSG000002698930.2691843.25e-405.35e-360.5960.519CD8+ T cellspre

MT-ND3

ENSG000001988400.2634570.00e+000.00e+0011CD8+ T cellspre

RPS10

ENSG000001246140.2608960.00e+000.00e+000.9660.857CD8+ T cellspre

RPL37A

ENSG000001977560.2504210.00e+000.00e+0010.999CD8+ T cellspre

PSMA6

ENSG00000100902-0.2502480.00e+000.00e+000.1820.346CD8+ T cellspre

DUSP2

ENSG00000158050-0.2508713.26e-405.37e-360.590.695CD8+ T cellspre

PTPN6

ENSG00000111679-0.2511970.00e+002.80e-440.2550.378CD8+ T cellspre

MT-ND6

ENSG00000198695-0.2526420.00e+000.00e+000.3540.555CD8+ T cellspre

CALM3

ENSG00000160014-0.2529970.00e+000.00e+000.3740.524CD8+ T cellspre

AOAH

ENSG00000136250-0.2536690.00e+000.00e+000.1770.299CD8+ T cellspre

CTSW

ENSG00000172543-0.2539852.45e-394.04e-350.8330.855CD8+ T cellspre

TTC38

ENSG00000075234-0.2556020.00e+000.00e+000.1160.26CD8+ T cellspre

ARPC2

ENSG00000163466-0.2556980.00e+001.86e-420.8910.907CD8+ T cellspre

AES

NA-0.2561350.00e+000.00e+000.740.842CD8+ T cellspre

ITGAL

ENSG00000005844-0.2569820.00e+000.00e+000.3330.474CD8+ T cellspre
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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

LTB

ENSG000002234480.5418150.00e+000.00e+000.6670.53CD8+ T cellspost

VIM

ENSG000000260250.4657170.00e+000.00e+000.9110.843CD8+ T cellspost

EEF1G

ENSG000002547720.4044850.00e+000.00e+000.7090.632CD8+ T cellspost

IL7R

ENSG000001686850.3989080.00e+000.00e+000.630.5CD8+ T cellspost

RPS4Y1

ENSG000001298240.373610.00e+000.00e+000.4550.279CD8+ T cellspost

SNHG8

ENSG000002698930.3247990.00e+000.00e+000.6870.543CD8+ T cellspost

PIM1

ENSG000001371930.3185080.00e+000.00e+000.5050.375CD8+ T cellspost

TPT1

ENSG000001331120.2998720.00e+000.00e+0011CD8+ T cellspost

MT-ND4

ENSG000001988860.2899032.61e-324.31e-280.9880.987CD8+ T cellspost

RPL17

ENSG000002656810.2885010.00e+000.00e+000.9890.986CD8+ T cellspost

STAT1

ENSG000001154150.2754782.05e-263.38e-220.3830.308CD8+ T cellspost

BTG1

ENSG000001336390.2707660.00e+005.04e-440.9620.944CD8+ T cellspost

PABPC1

ENSG000000707560.2660470.00e+000.00e+000.980.968CD8+ T cellspost

RPS9

ENSG000002746460.2621580.00e+000.00e+0011CD8+ T cellspost

RPS5

ENSG000000838450.2583170.00e+000.00e+000.9990.997CD8+ T cellspost

IFI6

ENSG000001267090.2567960.00e+000.00e+000.3120.201CD8+ T cellspost

TRGC2

ENSG00000227191-0.2615780.00e+000.00e+000.2140.338CD8+ T cellspost

GZMA

ENSG00000145649-0.2675620.00e+000.00e+000.5580.727CD8+ T cellspost

ID2

ENSG00000115738-0.2724290.00e+003.18e-420.5760.673CD8+ T cellspost

SH3BGRL3

ENSG00000142669-0.2809278.75e-371.44e-320.9460.952CD8+ T cellspost

ZFP36

ENSG00000128016-0.2810520.00e+000.00e+000.5550.682CD8+ T cellspost

TRBC2

ENSG00000276849-0.2874920.00e+000.00e+000.6730.763CD8+ T cellspost

ITGB2

ENSG00000160255-0.2940870.00e+000.00e+000.6920.77CD8+ T cellspost

CD8A

ENSG00000153563-0.2993080.00e+004.20e-450.790.837CD8+ T cellspost

PLEK

ENSG00000115956-0.3059630.00e+000.00e+000.2860.433CD8+ T cellspost

PPDPF

ENSG00000125534-0.3089580.00e+000.00e+000.8910.942CD8+ T cellspost

FCRL6

ENSG00000181036-0.3099590.00e+000.00e+000.2130.366CD8+ T cellspost

ZEB2

ENSG00000169554-0.3232680.00e+000.00e+000.2520.4CD8+ T cellspost

UCP2

ENSG00000175567-0.3433290.00e+000.00e+000.5460.653CD8+ T cellspost

ADGRG1

ENSG00000205336-0.3456320.00e+000.00e+000.1470.298CD8+ T cellspost

GNLY

ENSG00000115523-0.3521320.00e+009.67e-440.340.467CD8+ T cellspost

HLA-C

ENSG00000206435-0.3607450.00e+000.00e+000.9981CD8+ T cellspost

KLF2

ENSG00000127528-0.3768980.00e+000.00e+000.5990.742CD8+ T cellspost

PRF1

ENSG00000180644-0.3777340.00e+000.00e+000.380.531CD8+ T cellspost

CTSW

ENSG00000172543-0.3958710.00e+000.00e+000.7570.848CD8+ T cellspost

HLA-DRB1

ENSG00000228080-0.4238350.00e+000.00e+000.2490.439CD8+ T cellspost

JUNB

ENSG00000171223-0.4267730.00e+001.95e-420.8480.878CD8+ T cellspost

KLRB1

ENSG00000111796-0.4271010.00e+000.00e+000.2340.418CD8+ T cellspost

CCL4

ENSG00000277943-0.4275810.00e+000.00e+000.3330.491CD8+ T cellspost

FLNA

ENSG00000196924-0.429280.00e+000.00e+000.5450.637CD8+ T cellspost

HLA-DQB1

ENSG00000206237-0.4299530.00e+000.00e+000.1310.335CD8+ T cellspost

CST7

ENSG00000077984-0.4402740.00e+000.00e+000.5970.733CD8+ T cellspost

SPON2

ENSG00000159674-0.4526860.00e+000.00e+000.1640.307CD8+ T cellspost

GZMB

ENSG00000100453-0.4812810.00e+000.00e+000.2280.395CD8+ T cellspost

FGFBP2

ENSG00000137441-0.5404910.00e+000.00e+000.2420.408CD8+ T cellspost

GZMH

ENSG00000100450-0.640160.00e+000.00e+000.4180.603CD8+ T cellspost

NKG7

ENSG00000105374-0.669690.00e+000.00e+000.7010.807CD8+ T cellspost

DUSP2

ENSG00000158050-0.6920210.00e+000.00e+000.4940.724CD8+ T cellspost

RPS26

ENSG00000197728-1.621560.00e+000.00e+000.9251CD8+ T cellspost
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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. 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 1 known drug resistance mechanisms in TME cells

boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment3.20e-023.20e-02222186523467CD8+ T cellsZEB2,CX3CR1,CXCR4,VIM,MALAT1

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 1 known drug resistance mechanisms in TME cells

boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment5.80e-025.80e-0249186223467CD8+ T cellsZEB2,VIM

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
This dataset does not contain malignant cells, nor does it predict any miRNA that corresponds to the top10 DEGs.This dataset does not contain malignant cells, nor does it predict any miRNA that corresponds to the top10 DEGs.

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
This dataset does not contain malignant cells, nor does it predict any miRNA that corresponds to the top10 DEGs.This dataset does not contain malignant cells, nor does it predict any miRNA that corresponds to the top10 DEGs.

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
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Motifs and TFs regulating down-regulated DEGs in resistant group of the pre-treatment samples
motifmotifNESAUCTF_highConfCell_type
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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
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Motifs and TFs regulating down-regulated DEGs in resistant group of the post-treatment samples
motifmotifNESAUCTF_highConfCell_type
Page: 1 2 3 4 5

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

JUNB

tfdimers__MD00165downCD8+ T cellspost

JUNB

metacluster_137.2downCD8+ T cellspost

JUNB

metacluster_157.2downCD8+ T cellspost

JUNB

metacluster_50.1downCD8+ T cellspost

IRF1

tfdimers__MD00138downCD8+ T cellspre

IRF1

tfdimers__MD00527downCD8+ T cellspre

IRF1

tfdimers__MD00342downCD8+ T cellspre

TBX21

taipale_tf_pairs__PITX1_TBX21_AGGTGNGAARGGATTA_CAP_reprdownCD8+ T cellspre

TBX21

taipale_tf_pairs__ERF_TBX21_TMACACCGGAAG_CAPdownCD8+ T cellspre
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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."
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