DRMref Logo

Home

Download

Statistics

Landscape

Help

Contact

Center for Computational Systems Medicine
leaf

Dataset summary

leaf

Drug summary

leaf

Umap of single cell types and conditions (resistant and sensitive)

leaf

Comparison of cell composition between the resistant and sensitive groups (This dataset does not contain this module)

leaf

Comparison of intra-tumor heterogeneity (ITH) and epithelial-mesenchymal transition (EMT) scores of malignant cells between the resistant and sensitive groups

leaf

Difference of cell-cell interactions between the resistant and sensitive groups

Soverview

Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

Soverview

Mechanism analysis of drug resistance-related DEGs for each cell type in the pre-treatment samples (This dataset does not contain this module)

Soverview

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

Soverview

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

Soverview

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

Soverview

Motifs and transcription factors (TFs) regulating drug resistance-related DEGs for each cell type

     •

Differentially expressed genes act as transcription factors

Dataset: GSE207422_Tor

Dataset summary for GSE207422_Tor

Datast informationDatasetGSE207422_Tor
PMID36869384
Raw data ID/linkhttps://ngdc.cncb.ac.cn/gsa-human/browse/HRA001033
OrganismHomo sapiens
Sourcepatients
TissueTumor tissue
Cancer type level1Lung cancer
Cancer type level2EGFR/ALK mutation negative non-small cell lung cancer (NSCLC)
Regimentoripalimab + carboplatin + (docetaxel or pemetrexed or emcitabine)
Drug typeImmunotherapy
Sample sizepost (resistant 3, sensitive 2)
Cell number8690
Extract protocolBD Rhapsody system
Data processing BD Rhapsody Whole Transcriptome Analysis (WTA) Pipeline
Public datePublic on Mar 21, 2023
DescriptionThis dataset has 5 patients with post-treatment samples.

Top

Drug summary for GSE207422_Tor

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Toripalimab"

DB15043

biotechPDCD1Q15116
"carboplatin" is not included in the drug list.
"Docetaxel"

DB01248

small moleculeTUBB1; MAP2; MAP4; MAPT; BCL2; NR1I2Q9H4B7; P11137; P27816; P10636; P10415; O75469
"Pemetrexed"

DB00642

small moleculeTYMS; ATIC; DHFR; GARTP04818; P31939; P00374; P22102
"emcitabine" is not included in the drug list.

Top

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

Top

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.)

Top

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

Top

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.)

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.)

Top

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.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

ANKRD22

ENSG00000152766-0.4114627.99e-141.80e-090.1580.375Mono/Macropost

GRINA

ENSG00000178719-0.4116696.15e-161.38e-110.730.88Mono/Macropost

NR1H3

ENSG00000025434-0.412591.28e-102.88e-060.320.53Mono/Macropost

IGSF6

ENSG00000283934-0.4157215.13e-081.15e-030.7660.845Mono/Macropost

MT-CYB

ENSG00000198727-0.4205595.05e-271.13e-220.9980.99Mono/Macropost

FTLP3

ENSG00000226608-0.4206223.76e-088.46e-040.4880.64Mono/Macropost

LILRB1

ENSG00000276452-0.425512.53e-085.68e-040.3670.505Mono/Macropost

GAPDH

ENSG00000111640-0.4297251.29e-062.91e-020.8280.87Mono/Macropost

WARS

NA-0.4339293.41e-107.67e-060.3250.53Mono/Macropost

LCP1

ENSG00000136167-0.4420161.43e-123.21e-080.8690.95Mono/Macropost

ATF5

ENSG00000169136-0.445279.40e-102.11e-050.2830.475Mono/Macropost

MAFB

ENSG00000204103-0.4488691.18e-162.64e-120.5370.795Mono/Macropost

CD40

ENSG00000101017-0.4497436.13e-121.38e-070.20.42Mono/Macropost

SLAMF8

ENSG00000158714-0.4524658.31e-131.87e-080.4830.69Mono/Macropost

CPVL

ENSG00000106066-0.4672177.15e-111.61e-060.7040.85Mono/Macropost

ENO1

ENSG00000074800-0.4776541.01e-152.26e-110.7010.87Mono/Macropost

VAMP5

ENSG00000168899-0.4784243.23e-127.25e-080.3390.555Mono/Macropost

VSIG4

ENSG00000155659-0.4801121.81e-074.07e-030.5060.675Mono/Macropost

IL4I1

ENSG00000104951-0.4810491.65e-133.70e-090.1930.42Mono/Macropost

MT-CO3

ENSG00000198938-0.481942.64e-335.94e-290.9980.99Mono/Macropost

TAP1

ENSG00000232367-0.4850032.98e-106.70e-060.4560.6Mono/Macropost

APOC1

ENSG00000130208-0.4926783.90e-098.76e-050.7460.83Mono/Macropost

C1QB

ENSG00000173369-0.496261.75e-063.92e-020.8160.825Mono/Macropost

GBP4

ENSG00000162654-0.5053453.22e-097.24e-050.3160.495Mono/Macropost

TXNIP

ENSG00000265972-0.52431.51e-083.40e-040.6520.825Mono/Macropost

IL18BP

ENSG00000137496-0.5245023.11e-116.99e-070.2670.455Mono/Macropost

LGALS9

ENSG00000168961-0.5271331.57e-233.53e-190.6070.86Mono/Macropost

DUSP6

ENSG00000139318-0.5272786.35e-161.43e-110.1980.45Mono/Macropost

MTND2P28

ENSG00000225630-0.5301216.74e-081.51e-030.1810.32Mono/Macropost

CTSH

ENSG00000103811-0.5353262.26e-205.08e-160.70.875Mono/Macropost

AKR1A1

ENSG00000117448-0.5365581.85e-214.15e-170.4860.765Mono/Macropost

STAT1

ENSG00000115415-0.5441823.37e-097.56e-050.7180.77Mono/Macropost

MPEG1

ENSG00000197629-0.5572552.96e-166.65e-120.3670.615Mono/Macropost

CST3

ENSG00000101439-0.5657333.47e-187.79e-140.9560.985Mono/Macropost

SNX10

ENSG00000086300-0.5816591.31e-112.93e-070.6510.795Mono/Macropost

FUCA1

ENSG00000179163-0.5866813.87e-118.70e-070.2590.465Mono/Macropost

APOC1P1

ENSG00000214855-0.6093811.55e-163.49e-120.4250.7Mono/Macropost

FGL2

ENSG00000127951-0.6123691.38e-123.10e-080.5250.7Mono/Macropost

HLA-DRB1

ENSG00000228080-0.6594351.62e-323.63e-280.9840.995Mono/Macropost

C1QA

ENSG00000173372-0.6756957.43e-091.67e-040.7720.805Mono/Macropost

SERPING1

ENSG00000149131-0.6859514.14e-119.31e-070.6070.705Mono/Macropost

MT2A

ENSG00000125148-0.6917912.33e-115.23e-070.3590.59Mono/Macropost

GBP5

ENSG00000154451-0.7046589.53e-152.14e-100.2870.52Mono/Macropost

CXCL10

ENSG00000169245-0.7485139.18e-082.06e-030.2220.39Mono/Macropost

MTATP6P1

ENSG00000248527-0.7572415.72e-411.29e-360.7140.935Mono/Macropost

CTSC

ENSG00000109861-0.784131.98e-094.44e-050.9180.915Mono/Macropost

IDO1

ENSG00000131203-0.8018064.60e-301.03e-250.0750.36Mono/Macropost

GBP1

ENSG00000117228-0.9016521.75e-113.93e-070.4550.62Mono/Macropost

SLAMF7

ENSG00000026751-1.113161.08e-252.43e-210.2950.615Mono/Macropost

IGKC

ENSG00000211592-1.700180.00e+002.66e-440.170.68Mono/Macropost
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40

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.

Top

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.)

Top

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 Pathway1.00e-225.10e-229457819623467Malignant cellsPPP2R5A,ANXA2,AREG,BCL11A,CDKN1A,CERS2,DUSP6,EGFR,GSTP1,SLC2A1,HEY1,HSPA1A,IFI27,ISG15,JUN,PKM,MUC1,MYC,NFE2L2,RAB12,RHOA,RPS6,SOX2,TRIM16,YAP1,SLC25A5,AGR2,ANXA1,NET1,BAG3,HSPA5,ALCAM,CD44,CDKN2A,HSPD1,CLTC,CLU,CAPNS1,CTNND1,DDR1,DUSP1,EGR1,ERRFI1,EZR,FTL,GAPDH,GCLM,GCLC,GSR,HAX1,HBEGF,HSPA8,HK1,NFKBIA,ITGB1,ITGB8,TCF4,AK4,KLF4,LAMP2,LAMP3,LDHA,LRRFIP1,MTDH,NOTCH3,NQO1,NTRK2,TP63,PABPC1,PDCD10,PGK1,POMP,RAB27A,ERBB3,RND3,HNRNPA1,S100A11,TMED3,TMEM54,TNFSF10,TOP1,TUSC3,USP14,WNT5A,ENO1,SLC16A1,CALR,NPM1,CEBPD,DHCR24,GFPT1,INSIG1,BRD2,NKX2-1,FZD7,ALDH1A1
Irregularity in Drug Uptake and Drug Efflux3.30e-038.40e-0394537623467Malignant cellsSLC2A1,ABCC1,ABCE1,ABCG1,ABCC5,SLC34A2
Drug Inactivation by Structure Modification9.30e-021.60e-0194527323467Malignant cellsGSTP1,CES1,CMPK1
Aberration of the Drug's Therapeutic Target3.00e-013.70e-0194590523467Malignant cellsEGFR,CDKN2A,NPM1,NECTIN4,LRRK2
Epigenetic Alteration of DNA, RNA or Protein9.80e-019.80e-019454551123467Malignant cellsEGFR,H2AFY,LMNA,PMAIP1,CDKN2A,GAPDH,MALAT1,GDI2,PPP1R15A,MT-CO2,MX1

Enrichment results for 1 known drug resistance mechanisms in TME cells

boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment2.90e-012.90e-01239186323467B cellsPAK1,CXCR4,MALAT1
Regulation by the Disease Microenvironment1.80e-021.80e-02126186423467CD4+ T cellsCXCR4,JAK3,RHOB,VIM
Regulation by the Disease Microenvironment6.20e-026.20e-02114186323467CD8+ T cellsCXCR4,RHOB,VIM
Regulation by the Disease Microenvironment1.00e+001.00e+008186023467Endothelial cellsNA
Regulation by the Disease Microenvironment1.00e+001.00e+009186023467FibroblastsNA
Regulation by the Disease Microenvironment4.10e-024.10e-02238186523467Mono_MacroVEGFA,CXCR4,IL1B,SOCS3,MALAT1
Regulation by the Disease Microenvironment1.90e-021.90e-02193186523467NeutrophilsPTEN,IL1B,SOCS3,VIM,TIMP2
Regulation by the Disease Microenvironment3.00e-013.00e-0144186123467pDCsCXCR4
Regulation by the Disease Microenvironment2.30e-022.30e-0276186323467Plasma cellsTP53INP1,CXCR4,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

Top

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.)

Top

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.)
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.)

Top

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.)
Motifs and TFs regulating up-regulated DEGs in resistant group of the post-treatment samples
motifmotifNESAUCTF_highConfCell_type
motifkznf__ZNF613_Imbeault2017_RP_RCADE5.970.16ZNF613 (directAnnotation). B cells
motifjaspar__MA1125.15.870.158ZNF384 (directAnnotation). B cells
motiftransfac_pro__M012505.020.138E2F1 (directAnnotation). B cells
motiftransfac_public__M004154.850.135ZEB1 (directAnnotation). B cells
motiftfdimers__MD001874.580.129GATA1; GATA2; GATA3; GATA4; GATA5; GATA6 (directAnnotation). B cells
motiftransfac_pro__M066784.430.125ZNF287 (inferredBy_Orthology). B cells
motiftaipale_tf_pairs__ELK1_FOXI1_RSCGGAANRWMAACAN_CAP_repr4.40.125ELK1; FOXI1 (directAnnotation). B cells
motifmetacluster_167.54.340.123EHF; ELF5; NFATC3; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPIB; SPIB; SPIB; SPIB; SPIB; SPIB; SPIB; SPIB; SPIB; SPIB; SPIC; SPIC; STAT5A (directAnnotation). ETS1; SPI1; SPI1; SPI1; SPI1; SPI1; SPI1; SPIB; SPIC (inferredBy_Orthology). B cells
motifmetacluster_130.24.150.119ZNF182; ZNF22; ZNF225; ZNF225; ZNF285; ZNF362; ZNF362; ZNF384; ZNF487; ZNF512; ZNF570; ZNF613 (directAnnotation). ZNF384 (inferredBy_Orthology). B cells
motifdbtfbs__GMEB1_K562_ENCSR928KOR_merged_N14.150.119GMEB1 (directAnnotation). B cells
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33

Motifs and TFs regulating down-regulated DEGs in resistant group of the post-treatment samples
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_2.86.110.0846IRF4; IRF5; IRF6; IRF9 (directAnnotation). IRF3; IRF5; IRF5; IRF6 (inferredBy_Orthology). B cells
motifmetacluster_2.94.650.0704IRF2; IRF2; IRF2; PRDM1; PRDM1 (directAnnotation). PRDM1 (inferredBy_Orthology). B cells
motifjaspar__MA1952.14.480.0688FOXJ2 (directAnnotation). B cells
motifmetacluster_2.64.020.0642IRF1; IRF1; IRF1; IRF1; IRF1; IRF1; IRF1; IRF1; IRF1; IRF1; IRF2; IRF2; IRF2; IRF2; IRF2; IRF2; IRF2; IRF3; IRF3; IRF3; IRF3; IRF3; IRF3; IRF4; IRF4; IRF4; IRF4; IRF4; IRF5; IRF5; IRF5; IRF5; IRF5; IRF5; IRF5; IRF6; IRF7; IRF7; IRF7; IRF7; IRF7; IRF7; IRF7; IRF8; IRF8; IRF8; IRF8; IRF8; IRF8; IRF8; IRF8; IRF9; IRF9; IRF9; IRF9; IRF9; IRF9; IRF9; STAT1; STAT2; STAT2; STAT2; STAT2; ZNF426; ZNF71 (directAnnotation). IRF1; IRF1; IRF3; IRF8 (inferredBy_Orthology). B cells
motifmetacluster_113.44.010.0642MYB; MYB; MYBL1; MYBL2 (directAnnotation). MYB; MYB; MYBL1; MYBL2 (inferredBy_Orthology). B cells
motifjaspar__MA0776.13.950.0636MYBL1 (directAnnotation). B cells
motiftransfac_pro__M058033.750.0616ZNF584 (directAnnotation). B cells
motifmetacluster_22.213.60.0601NFE2L2 (inferredBy_Orthology). B cells
motiftfdimers__MD000073.560.0598E2F1; IRF8 (directAnnotation). B cells
motiftfdimers__MD001383.540.0595IRF1; IRF2; IRF3; IRF4; IRF5; IRF7; IRF8; IRF9; MYB (directAnnotation). B cells
Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57

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.)

Top

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

IRF7

metacluster_2.6downB cellspost

STAT1

metacluster_2.6downB cellspost

STAT2

metacluster_2.6downB cellspost

IRF7

tfdimers__MD00138downB cellspost

IRF7

metacluster_2.7downB cellspost

STAT1

metacluster_2.7downB cellspost

STAT2

metacluster_2.7downB cellspost

SPIB

metacluster_167.5downB cellspost

STAT1

cisbp__M11350downB cellspost

STAT1

tfdimers__MD00177downB cellspost
Page: 1 2




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."