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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

Dataset: GSE139386

Dataset summary for GSE139386

Datast informationDatasetGSE139386
PMID35999456
Raw data ID/linkPRJNA321747
OrganismHomo sapiens
SourceH3122 cell line
TissueCell line
Cancer type level1Lung cancer
Cancer type level2EML4-ALK fusion-positive non-small cell lung cancer (NSCLC)
Regimenceritinib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 1
Cell number6986
Extract protocol10x genomics
Data processingCellRanger
Public datePublic on Sep 20, 2022
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 GSE139386

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Ceritinib"

DB09063

small moleculeALKQ9UM73

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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

SRPRB

ENSG000001448670.2836424.61e-428.37e-380.4930.34Malignant cellsNA

SCARB2

ENSG000001387600.2835024.16e-437.55e-390.4630.31Malignant cellsNA

AP2B1

ENSG000000061250.283291.26e-372.28e-330.7880.722Malignant cellsNA

MPHOSPH8

ENSG000001961990.2821871.11e-392.01e-350.7880.7Malignant cellsNA

PTPLAD1

NA0.2820053.19e-355.79e-310.6130.5Malignant cellsNA

BTG3

ENSG000002814840.2819265.22e-359.48e-310.4770.345Malignant cellsNA

PHB2

ENSG000002150210.2816850.00e+000.00e+000.9540.922Malignant cellsNA

GCLC

ENSG000000010840.2806851.74e-193.15e-150.4390.353Malignant cellsNA

AL592183.1

NA0.2805570.00e+000.00e+000.3180.142Malignant cellsNA

OSBPL8

ENSG000000910390.2799896.60e-401.20e-350.7230.605Malignant cellsNA

NUS1

ENSG000001539890.2794198.06e-401.46e-350.5160.372Malignant cellsNA

TMEM159

NA0.278420.00e+000.00e+000.3290.166Malignant cellsNA

RAC1

ENSG000001362380.2783930.00e+000.00e+0011Malignant cellsNA

TRIM44

ENSG000001663260.2781977.19e-371.30e-320.5660.435Malignant cellsNA

BLVRA

ENSG000001066050.2780832.80e-455.78e-410.4360.274Malignant cellsNA

IFITM3

ENSG000001420890.2776087.72e-301.40e-250.3830.261Malignant cellsNA

WDR74

ENSG000001333160.2774775.98e-331.08e-280.6580.551Malignant cellsNA

SRPR

NA0.2774430.00e+001.71e-420.420.255Malignant cellsNA

FADS3

ENSG000002219680.2772462.88e-395.22e-350.5070.364Malignant cellsNA

EFCAB4A

NA0.2772260.00e+000.00e+000.3310.159Malignant cellsNA

ESD

ENSG000001396840.2768944.93e-388.94e-340.6570.535Malignant cellsNA

TMED7

ENSG000001349700.2768561.17e-382.13e-340.5650.425Malignant cellsNA

TAF7

ENSG000001789130.2762153.18e-385.77e-340.7710.677Malignant cellsNA

LCMT1

ENSG000002056290.2755181.23e-352.23e-310.7270.638Malignant cellsNA

UBE2L6

ENSG000001565870.2754192.50e-294.53e-250.5020.388Malignant cellsNA

RIOK3

ENSG000001017820.2753632.38e-424.32e-380.4630.308Malignant cellsNA

CLCN3

ENSG000001095720.2751070.00e+001.80e-420.4250.261Malignant cellsNA

MRPS26

ENSG000001259010.2750111.68e-333.05e-290.790.732Malignant cellsNA

ERV3-1

ENSG000002134620.2741776.27e-311.14e-260.6630.563Malignant cellsNA

ITPA

ENSG000001258770.2736551.51e-352.73e-310.6520.532Malignant cellsNA

EIF2A

ENSG000001448950.2722063.20e-325.80e-280.7840.714Malignant cellsNA

XIAP

ENSG000001019660.2720654.20e-377.61e-330.5640.426Malignant cellsNA

IQCD

ENSG000001665780.2715470.00e+000.00e+000.2570.088Malignant cellsNA

VPS13C

ENSG000001290030.2714720.00e+000.00e+000.280.11Malignant cellsNA

NDUFS2

ENSG000001588640.2712164.28e-427.77e-380.5490.388Malignant cellsNA

RHPN1

ENSG000001581060.271110.00e+000.00e+000.2640.083Malignant cellsNA

P4HA1

ENSG000001228840.2708444.20e-447.68e-400.3010.154Malignant cellsNA

LHPP

ENSG000001079020.2707922.73e-404.96e-360.4810.33Malignant cellsNA

ALG12

ENSG000001828580.2693110.00e+000.00e+000.3680.197Malignant cellsNA

RERE

ENSG000001425990.2687660.00e+000.00e+000.330.167Malignant cellsNA

CERS6

ENSG000001722920.2685791.21e-402.19e-360.4730.319Malignant cellsNA

UQCRC1

ENSG000000102560.2677380.00e+000.00e+000.9490.905Malignant cellsNA

HLA-E

ENSG000002064930.2669012.55e-364.63e-320.5170.379Malignant cellsNA

ROMO1

ENSG000001259950.2668430.00e+000.00e+000.9740.968Malignant cellsNA

CCNH

ENSG000001344800.2665952.71e-404.92e-360.4810.329Malignant cellsNA

SLC41A3

ENSG000001145440.266250.00e+000.00e+000.3420.172Malignant cellsNA

TMCO1

ENSG000001431830.2661941.41e-372.56e-330.7840.703Malignant cellsNA

ST6GALNAC4

ENSG000001368400.2661250.00e+000.00e+000.3250.16Malignant cellsNA

SYVN1

ENSG000001622980.2660890.00e+000.00e+000.2720.102Malignant cellsNA

REEP6

ENSG000001152550.2637550.00e+000.00e+000.3440.171Malignant 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 Pathway5.00e-212.50e-20344178121423467Malignant cellsAKT2,ATG12,AURKA,BAX,BBC3,BIK,BIRC5,BRCA1,CDK4,CDK6,CDKN1A,CERS2,DCTD,DNMT1,DUSP6,EGFR,FUBP1,GLS,GSTP1,SLC2A1,HMGA1,HMGB1,ID1,EIF4G1,ISG15,JUN,PKM,MCL1,MAPK1,MAP1LC3B,MTA1,NFE2L2,NFKB1,PARP1,PEA15,PPARG,PTEN,RAB6A,KRAS,RALBP1,RHOA,RPS6,S100A4,SOCS2,SOX2,STMN1,TGFBR2,PBK,TPD52,TRIM16,TYMS,VEGFA,VOPP1,XIAP,YAP1,YWHAZ,NT5C2,AAMDC,SLC25A5,AGR2,AKAP12,AKT3,ANXA1,TFAP2A,BAD,BAG3,BID,HSPA5,BRD4,BRD7,BTG1,CAV2,CCNA2,CCNB1,CDK1,CCND1,CCNE1,ALCAM,CDC27,CDK2,HSPD1,CSF1,CTNND1,CUL4A,DCK,DDIT3,DKK1,DHFR,E2F1,E2F3,EHF,HSP90B1,EPHA2,ERRFI1,EZH2,EZR,FAT1,FGFR1,FN1,FIS1,FOXM1,FTL,FUS,GAS6,NR3C1,GRB2,GCLM,GCLC,GSR,SLC16A3,HDAC3,HIPK2,HMGB2,HSPB1,HK1,IDH1,EIF4E,EIF5A2,JAG1,KEAP1,KLF4,LAMP3,LASP1,LDHA,LRRFIP1,MTDH,NF2,MAPK3,MOB1A,MAP2K1,MYBL2,MYD88,MYO10,NDST1,NFYB,NKD2,NUCKS1,OAZ2,SPP1,PDE4D,PGK1,PLK1,POMP,PRKDC,RAC1,RAF1,RANGAP1,RAP1A,RAP1B,HRAS,NRAS,RAB27A,RECK,RNF2,RRM1,RRM2,HNRNPA1,RUNX2,SAV1,SDHB,SFPQ,SMAD3,SMC4,SNAI2,SOD2,SRI,SPIN1,SRSF2,STARD10,RBPJ,TFAM,TMED3,TMEM54,TNFAIP3,TOP1,UBE2C,USP22,AXL,P
Drug Inactivation by Structure Modification3.50e-028.80e-02344127823467Malignant cellsGSTP1,NT5C2,CYP1B1,DCK,CES1,SOD2,CDA,NME1
Aberration of the Drug's Therapeutic Target4.50e-015.80e-013441901423467Malignant cellsAKT2,BRCA1,CDK4,CDK6,EGFR,DHFR,EZH2,FGFR1,IDH1,MAP2K1,JAK1,NPM1,AKR1B1,TOP2A
Irregularity in Drug Uptake and Drug Efflux4.60e-015.80e-01344137623467Malignant cellsSLC3A2,SLC2A1,ABCC1,ABCF2,SLC7A5,ABCC5
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0034414552523467Malignant cellsBIK,DNMT1,EGFR,H2AFY,EIF4G2,LMNA,MTA1,PPARG,TRIP6,TYMS,XIAP,BMF,EZH2,IDH1,MAPK3,SMC4,TIMP1,MALAT1,GDI2,AKT3,PPP1R15A,SMYD2,MT-CO2,DLEU1,NABP1


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__ATF4_TEF_RNMTGATGCAATN_CAP4.960.0538ATF4; TEF (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ELK1_TEF_NSCGGAWNTTACGTAAN_CAP4.80.053ELK1; TEF (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ATF4_CEBPD_NGATGATGCAATNN_CAP4.60.052ATF4; CEBPD (directAnnotation). Malignant cells
motifjaspar__MA1933.13.960.0487SREBF2 (directAnnotation). Malignant cells
motifmetacluster_174.33.720.0476MBD2; NFYA; NFYB; NFYC; PBX3 (directAnnotation). Malignant cells
motiftransfac_pro__M012993.680.0473MECP2 (directAnnotation). Malignant cells
motifmetacluster_156.23.620.0471ATF3; ATF4; ATF4; ATF4; ATF4; ATF4; ATF4; CEBPG; CEBPG; DDIT3; MYC (directAnnotation). ATF4; ATF4; ATF4; CEBPG; DDIT3 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M062133.550.0467ZNF267 (directAnnotation). Malignant cells
motiftransfac_pro__M060353.450.0462ZNF749 (directAnnotation). Malignant cells
motiftransfac_pro__M018613.440.0462ATF1 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_174.34.610.0472MBD2; NFYA; NFYB; NFYC; PBX3 (directAnnotation). Malignant cells
motifmetacluster_174.24.550.0469CEBPZ; CEBPZ; DRAP1; FOS; FOXI1; FOXI1; HMGXB3; IRF3; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYA; NFYB; NFYB; NFYB; NFYB; NFYB; NFYC; NFYC; NFYC; NFYC; NFYC; NFYC; NFYC; PBX3; PBX3; SP2 (directAnnotation). NFYA; NFYA; NFYC; PBX1; PBX3 (inferredBy_Orthology). Malignant cells
motifmetacluster_191.24.230.0455ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_55.34.110.0449E2F6; EGR1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; ZBTB2; ZSCAN10 (directAnnotation). NFE2L1; NRF1; NRF1; NRF1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT4.090.0449ETS2 (directAnnotation). Malignant cells
motifdbtfbs__E2F8_representative_N14.080.0448E2F8 (directAnnotation). Malignant cells
motifjaspar__MA1483.23.970.0443ELF2 (directAnnotation). Malignant cells
motiftransfac_pro__M049503.970.0443EGR1 (directAnnotation). Malignant cells
motifmetacluster_34.43.960.0443ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
motifmetacluster_15.33.890.0439E2F1; E2F6; E2F8; E2F8; TFDP1 (directAnnotation). E2F3 (inferredBy_Orthology). 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.)
TFmotifExpressionCell typeTimepoint

EHF

metacluster_191.3upMalignant cellsNA

ETV5

metacluster_191.3upMalignant cellsNA

SPDEF

metacluster_191.3upMalignant cellsNA

ETV5

taipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAPupMalignant cellsNA

HDAC2

transfac_pro__M04866upMalignant cellsNA

EHF

metacluster_166.4upMalignant cellsNA

ETV5

metacluster_166.4upMalignant cellsNA

ELF3

metacluster_166.4upMalignant cellsNA

ETV5

metacluster_138.2upMalignant cellsNA

SPDEF

metacluster_138.2upMalignant cellsNA
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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."