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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: GSE138267

Dataset summary for GSE138267

Datast informationDatasetGSE138267
PMID33521652
Raw data ID/linkPRJNA575243
OrganismHomo sapiens
SourceCDX
TissueTumor tissue
Cancer type level1Lung cancer
Cancer type level2Small cell lung cancer (SCLC)
RegimenNA
Drug typeChemotherapy
Sample sizeresistant 4, sensitive 4
Cell number61001
Extract protocol10x genomics
Data processingCellRanger 2.0.0
Public datePublic on Feb 12, 2020
DescriptionThis dataset has 8 PDX.

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Drug summary for GSE138267

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"" 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.)

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

ATP6V0E1

ENSG00000113732-0.3903020.00e+000.00e+000.610.837Malignant cellsNA

TCEAL8

ENSG00000180964-0.3905530.00e+000.00e+000.6320.853Malignant cellsNA

EEF1B2

ENSG00000283391-0.3911910.00e+000.00e+000.9690.988Malignant cellsNA

UQCRH

ENSG00000173660-0.3919010.00e+000.00e+000.990.997Malignant cellsNA

VPS29

ENSG00000111237-0.3933950.00e+000.00e+000.7530.92Malignant cellsNA

TACC2

ENSG00000138162-0.393540.00e+000.00e+000.090.263Malignant cellsNA

ICA1

ENSG00000003147-0.3951080.00e+000.00e+000.4550.814Malignant cellsNA

PERP

ENSG00000112378-0.3951770.00e+000.00e+000.7960.962Malignant cellsNA

COX17

ENSG00000138495-0.3964220.00e+000.00e+000.8310.941Malignant cellsNA

PRDX3

ENSG00000165672-0.397760.00e+000.00e+000.6450.863Malignant cellsNA

SEC11A

ENSG00000140612-0.3990420.00e+000.00e+000.6930.895Malignant cellsNA

FAM213A

NA-0.3994670.00e+000.00e+000.5580.822Malignant cellsNA

ZNHIT1

ENSG00000106400-0.4000940.00e+000.00e+000.5290.845Malignant cellsNA

GDI2

ENSG00000057608-0.4017970.00e+000.00e+000.6770.883Malignant cellsNA

BCAP31

ENSG00000185825-0.4045410.00e+000.00e+000.6260.858Malignant cellsNA

BEX1

ENSG00000133169-0.4045870.00e+000.00e+000.9220.981Malignant cellsNA

COX14

ENSG00000178449-0.4046650.00e+000.00e+000.5190.814Malignant cellsNA

POLR2J

ENSG00000005075-0.4048090.00e+000.00e+000.5920.842Malignant cellsNA

SLC25A5

ENSG00000005022-0.4068360.00e+000.00e+000.9430.991Malignant cellsNA

MRPS15

ENSG00000116898-0.4073540.00e+000.00e+000.6410.869Malignant cellsNA

RPS25

ENSG00000280831-0.4101720.00e+000.00e+000.9991Malignant cellsNA

KLK12

ENSG00000186474-0.4132230.00e+000.00e+000.3550.575Malignant cellsNA

LAMTOR4

ENSG00000188186-0.4148540.00e+000.00e+000.6940.894Malignant cellsNA

REPIN1

ENSG00000214022-0.4157840.00e+000.00e+000.3870.701Malignant cellsNA

SSR3

ENSG00000114850-0.4171850.00e+000.00e+000.5480.814Malignant cellsNA

RPL9

ENSG00000163682-0.4193290.00e+000.00e+000.9990.999Malignant cellsNA

HOXB2

ENSG00000173917-0.4194450.00e+000.00e+000.5270.84Malignant cellsNA

MRPL41

ENSG00000182154-0.421530.00e+000.00e+000.510.783Malignant cellsNA

PSMB2

ENSG00000126067-0.4223070.00e+000.00e+000.8730.964Malignant cellsNA

TMEM205

ENSG00000105518-0.422890.00e+000.00e+000.6520.854Malignant cellsNA

RBP1

ENSG00000114115-0.4243620.00e+000.00e+000.7630.976Malignant cellsNA

COX16

ENSG00000133983-0.4247140.00e+000.00e+000.6120.796Malignant cellsNA

RPS24

ENSG00000138326-0.4267670.00e+000.00e+000.9981Malignant cellsNA

CKS2

ENSG00000123975-0.4274890.00e+000.00e+000.5320.805Malignant cellsNA

HDAC1

ENSG00000116478-0.4278480.00e+000.00e+000.5250.805Malignant cellsNA

CMPK1

ENSG00000162368-0.4290850.00e+000.00e+000.4790.756Malignant cellsNA

EIF3I

ENSG00000084623-0.4318260.00e+000.00e+000.8520.946Malignant cellsNA

LITAF

ENSG00000189067-0.4318990.00e+000.00e+000.5740.815Malignant cellsNA

DGUOK

ENSG00000114956-0.4332630.00e+000.00e+000.6470.865Malignant cellsNA

PRDX4

ENSG00000123131-0.4335640.00e+000.00e+000.6120.873Malignant cellsNA

SUB1

ENSG00000113387-0.4336650.00e+000.00e+000.9850.995Malignant cellsNA

RPL26

ENSG00000161970-0.4359340.00e+000.00e+0010.999Malignant cellsNA

RANBP1

ENSG00000099901-0.436320.00e+000.00e+000.9350.987Malignant cellsNA

MT1X

ENSG00000187193-0.4363760.00e+000.00e+000.4820.763Malignant cellsNA

ARPC3

ENSG00000111229-0.4369940.00e+000.00e+000.9210.982Malignant cellsNA

HSD17B11

ENSG00000198189-0.4370390.00e+000.00e+000.2950.415Malignant cellsNA

FIS1

ENSG00000214253-0.4370690.00e+000.00e+000.5180.832Malignant cellsNA

PDIA4

ENSG00000155660-0.4400610.00e+000.00e+000.40.668Malignant cellsNA

NQO1

ENSG00000181019-0.440460.00e+000.00e+000.1820.332Malignant cellsNA

MGST1

ENSG00000008394-0.4424620.00e+000.00e+000.6680.869Malignant 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 Pathway3.30e-151.60e-14131978110123467Malignant cellsAKAP1,ANXA2,ATG12,AURKA,CDK4,CDKN1B,TP53,CIAPIN1,DLK1,GSTP1,SLC2A1,HIF1A,HMGA1,HOXB3,ID1,IDH2,IFI27,ISG15,PKM,RPS6,SOX2,SOX4,STMN1,TPD52,TYMS,SLC25A5,TFAP2A,ARID1A,ATG4B,BNIP2,BRD4,BRD7,CCNB1,CDK1,CCNG1,ALCAM,CDC27,CDKN2A,CRBN,CREB1,CXCR4,DCK,DNMT3A,DHFR,EHF,ERCC1,EZR,FIS1,FTL,GAPDH,GAS6,NR3C1,HAX1,HDAC1,HMGB2,HMGN5,HNRNPU,HSPB1,EIF4A3,TCF4,KDM5B,KLF4,LDHA,LRRFIP1,MDM4,MYBL2,NQO1,NUCKS1,TP73,PABPC1,AGPAT2,PTPN1,HRAS,REV1,RRM2,RSF1,SDHB,SMC4,SOCS3,SRSF2,STAT3,SUZ12,TMEM54,TOP1,TUSC3,UBE2C,USP14,USP22,UCP2,WLS,YBX1,ENO1,GNAS,CALR,EIF4EBP1,BRD2,NKX2-1,G3BP1,PMVK,EBP,CERS6
Drug Inactivation by Structure Modification1.90e-014.00e-01131927323467Malignant cellsGSTP1,DCK,CMPK1
Aberration of the Drug's Therapeutic Target2.40e-014.00e-01131990723467Malignant cellsCDK4,TP53,IDH2,CDKN2A,CRBN,DHFR,TOP2A
Irregularity in Drug Uptake and Drug Efflux3.50e-014.30e-01131937323467Malignant cellsSLC3A2,SLC2A1,TAP1
Epigenetic Alteration of DNA, RNA or Protein9.90e-019.90e-0113194551623467Malignant cellsTP53,H2AFY,IDH2,EIF4G2,LMNA,TYMS,PMAIP1,CDKN2A,CXCR4,DNMT3A,GAPDH,SMC4,TIMP1,MALAT1,GDI2,MT-CO2


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__GCM1_SPDEF_RTGNKGGCGGAWG_CAP_repr3.630.0606GCM1; SPDEF (directAnnotation). Malignant cells
motiftransfac_pro__M012193.550.06SP1 (directAnnotation). SP3 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M073973.530.0598ZNF148 (directAnnotation). Malignant cells
motifmetacluster_131.73.430.059EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR1; EGR2; EGR2; EGR2; EGR2; EGR2; EGR2; EGR3; EGR3; EGR3; EGR3; EGR3; EGR3; EGR4; EGR4; WT1 (directAnnotation). EGR1; EGR1; EGR1; EGR1; EGR1; EGR2; EGR2; EGR2; EGR2; EGR2; EGR3; EGR3; WT1; ZBTB43; ZBTB43; ZBTB43; ZBTB43; ZBTB5; ZBTB5; ZBTB5; ZBTB5; ZBTB7A; ZBTB7A; ZBTB7A; ZBTB7A; ZNF367; ZNF367; ZNF367; ZNF367; ZNF740; ZNF740; ZNF740; ZNF740 (inferredBy_Orthology). Malignant cells
motifmetacluster_131.43.390.0587EGR2; EGR2; ZFHX2; ZNF141 (directAnnotation). Malignant cells
motifdbtfbs__GMEB1_K562_ENCSR928KOR_merged_N13.370.0585GMEB1 (directAnnotation). Malignant cells
motiftaipale_cyt_meth__ZNF281_NCCCCTCCCCCN_eDBD_meth3.350.0584ZNF281 (directAnnotation). Malignant cells
motifmetacluster_15.23.330.0583E2F1; E2F1; E2F1; E2F1; E2F1; E2F3; E2F4; E2F4; E2F4; E2F6; E2F6; E2F6; E2F6; E2F6; E2F6; E2F6; E2F7; TFDP1; TFDP2; ZNF566; ZNF566; ZNF574 (directAnnotation). E2F3; E2F3; E2F4 (inferredBy_Orthology). Malignant cells
motifmetacluster_7.133.320.0582ZFX (directAnnotation). Malignant cells
motifmetacluster_3.113.320.0582SP1; SP1; SP2; SP3; SP3; SP4 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT4.280.0499ETS2 (directAnnotation). Malignant cells
motifjaspar__MA1483.23.940.0476ELF2 (directAnnotation). Malignant cells
motiftransfac_pro__M054813.920.0474ZNF202 (directAnnotation). Malignant cells
motiftransfac_pro__M058463.630.0454ZNF689 (directAnnotation). Malignant cells
motiftransfac_pro__M068273.580.045ZBTB11 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MYBL1_ELF1_NMCCGGAACCGTTR_CAP_repr3.570.0449ELF1; MYBL1 (directAnnotation). Malignant cells
motiftransfac_pro__M055223.520.0446ZNF341 (directAnnotation). Malignant cells
motifswissregulon__hs__ETV63.490.0444ETV6 (directAnnotation). Malignant cells
motiftransfac_pro__M052983.420.0439OVOL3 (directAnnotation). Malignant cells
motifmetacluster_33.53.350.0434MTF1 (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

ETS2

taipale_tf_pairs__ETS2_RCCGGAAGTG_HTupMalignant cellsNA

ELF2

jaspar__MA1483.2upMalignant cellsNA

ELF2

taipale_tf_pairs__ELF2_NATGCGGAAGTR_HTupMalignant cellsNA

TFAP2A

tfdimers__MD00275upMalignant cellsNA

HES6

jaspar__MA1493.1upMalignant cellsNA

CHD2

metacluster_172.6upMalignant cellsNA

ZNF281

taipale_cyt_meth__ZNF281_NCCCCTCCCCCN_eDBD_methupMalignant cellsNA

SP3

metacluster_3.11upMalignant cellsNA

SP3

metacluster_3.7upMalignant cellsNA

NR3C1

metacluster_141.5upMalignant 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."