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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

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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: GSE153697

Dataset summary for GSE153697

Datast informationDatasetGSE153697
PMID33558546
Raw data ID/linkPRJNA643723
OrganismHomo sapiens
Sourcepatients
TissueBone marrow aspirate
Cancer type level1Acute lymphoblastic leukemia
Cancer type level2Relapsed B-cell acute lymphoblastic leukemia (B-ALL)
Regimenanti-CD19 CAR-T
Drug typeImmunotherapy
Sample sizeresistant 1, sensitive 1
Cell number2919
Extract protocol10x genomics
Data processingCellRanger 3.0.1
Public datePublic on Dec 11, 2020
DescriptionThis dataset has 1 patient with a sensitive pre-treatment sample and a resistant post-treatment sample.

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Drug summary for GSE153697

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"anti-CD19 CAR-T" 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.)

resistant vs. sensitive

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

LAX1

ENSG00000122188-0.3340122.16e-073.47e-030.0220.3Physiology B cellsNA

LINC00528

ENSG00000269220-0.3373871.88e-063.02e-020.0270.3Physiology B cellsNA

SIPA1

ENSG00000213445-0.3373876.70e-071.07e-020.0240.3Physiology B cellsNA

ADCY7

ENSG00000121281-0.3373871.88e-063.02e-020.0270.3Physiology B cellsNA

C1orf122

ENSG00000197982-0.3373871.88e-063.02e-020.0270.3Physiology B cellsNA

DHRS3

ENSG00000162496-0.340771.73e-072.78e-030.0220.3Physiology B cellsNA

AC092803.2

NA-0.344164.14e-086.65e-040.0190.3Physiology B cellsNA

FAM117A

ENSG00000121104-0.3475591.61e-072.58e-030.0220.3Physiology B cellsNA

SRD5A1

ENSG00000145545-0.3475593.82e-086.13e-040.0190.3Physiology B cellsNA

ATP11A

ENSG00000068650-0.3509653.52e-085.65e-040.0190.3Physiology B cellsNA

EGR1

ENSG00000120738-0.354385.71e-099.16e-050.0170.3Physiology B cellsNA

SYT1

ENSG00000067715-0.354385.71e-099.16e-050.0170.3Physiology B cellsNA

ZNF831

ENSG00000124203-0.3578036.21e-109.96e-060.0140.3Physiology B cellsNA

SIAE

ENSG00000110013-0.3612343.90e-116.26e-070.0120.3Physiology B cellsNA

CD40

ENSG00000101017-0.368121.00e-141.61e-100.0070.3Physiology B cellsNA

GAL3ST2

ENSG00000276126-0.368121.00e-141.61e-100.0070.3Physiology B cellsNA

DNM1P35

ENSG00000246877-0.3715761.37e-172.20e-130.0050.3Physiology B cellsNA

SETD9

ENSG00000155542-0.4076077.36e-071.18e-020.0430.4Physiology B cellsNA

JMY

ENSG00000152409-0.4241711.83e-082.94e-040.0340.4Physiology B cellsNA

PAN3-AS1

ENSG00000261485-0.4409274.40e-097.06e-050.0310.4Physiology B cellsNA

ADPRHL1

ENSG00000153531-0.4476853.63e-085.82e-040.0190.3Physiology B cellsNA

APLF

ENSG00000169621-0.4476854.99e-078.00e-030.0240.3Physiology B cellsNA

AL360012.1

NA-0.4476851.40e-062.25e-020.0270.3Physiology B cellsNA

IL10RA

ENSG00000110324-0.4476853.44e-155.52e-110.0140.4Physiology B cellsNA

PIK3IP1

ENSG00000100100-0.4544743.08e-084.94e-040.0190.3Physiology B cellsNA

AFDN

ENSG00000130396-0.4612955.22e-148.37e-100.0170.4Physiology B cellsNA

TRAC

ENSG00000277734-0.4681494.27e-176.85e-130.0120.4Physiology B cellsNA

CAPN10-DT

ENSG00000260942-0.4681491.08e-121.73e-080.010.3Physiology B cellsNA

TRDV2

ENSG00000211821-0.4750351.46e-172.34e-130.0050.3Physiology B cellsNA

LINC01126

ENSG00000279873-0.4854275.39e-298.64e-2500.3Physiology B cellsNA

CHD7

ENSG00000171316-0.4907671.40e-062.25e-020.0460.4Physiology B cellsNA

AL359513.1

NA-0.5237071.87e-073.00e-030.0410.4Physiology B cellsNA

METTL15

ENSG00000169519-0.5453179.14e-091.47e-040.0720.6Physiology B cellsNA

TFEB

ENSG00000112561-0.547222.04e-103.28e-060.0270.4Physiology B cellsNA

TBX3

ENSG00000135111-0.5506116.85e-131.10e-080.0190.4Physiology B cellsNA

AC087623.3

NA-0.5574163.07e-184.92e-140.0190.5Physiology B cellsNA

CYP2R1

ENSG00000186104-0.5709084.15e-076.65e-030.0670.5Physiology B cellsNA

AC004854.2

NA-0.5711242.67e-194.28e-150.010.4Physiology B cellsNA

MTSS1

ENSG00000170873-0.574143.34e-075.36e-030.0410.4Physiology B cellsNA

DTX3L

ENSG00000163840-0.5768061.05e-061.68e-020.0990.6Physiology B cellsNA

LDLRAD3

ENSG00000179241-0.5780261.22e-171.95e-130.0050.3Physiology B cellsNA

ANK2

ENSG00000145362-0.581496.14e-229.84e-180.0020.3Physiology B cellsNA

IQGAP3

ENSG00000183856-0.6201521.26e-072.02e-030.0410.4Physiology B cellsNA

IL3RA

ENSG00000185291-0.6885393.09e-104.96e-060.1060.8Physiology B cellsNA

ID1

ENSG00000125968-0.6943181.48e-082.37e-040.0340.4Physiology B cellsNA

AL627171.1

NA-0.6943181.16e-081.87e-040.0340.4Physiology B cellsNA

ERLIN2

ENSG00000147475-0.7342242.72e-074.37e-030.0920.6Physiology B cellsNA

HCST

ENSG00000126264-0.7544535.56e-078.92e-030.0920.6Physiology B cellsNA

AHNAK

ENSG00000124942-0.7649868.08e-091.30e-040.0750.6Physiology B cellsNA

NAPG

ENSG00000134265-0.7900772.52e-064.04e-020.1130.6Physiology B 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 Pathway5.80e-142.90e-1312397819423467Malignant cellsANXA2,AREG,BCL11A,CCND2,CDK4,CDKN1A,CDKN1B,CERS2,CIAPIN1,CTNNB1,DNMT1,GAS7,GSTP1,SLC2A1,HIF1A,HMGA1,HMGB1,IDH2,JUN,PKM,MCL1,MAP1LC3B,MYC,PARP1,RHOA,S100A4,STMN1,TP53INP1,YWHAZ,SLC25A5,GRK2,BID,BNIP2,BTG1,CD44,HSPD1,CHEK1,CLTC,DCK,DNMT3A,DUSP1,DHFR,ENG,EIF3A,HSP90B1,EZR,GAPDH,NR3C1,HAX1,HMGB2,HSPA8,HSPB1,IKZF1,KDM5B,KEAP1,LDHA,LRRFIP1,MDM4,MSH2,MSH6,MYD88,NUCKS1,PABPC1,PGK1,PIK3CD,PRKDC,PSMB5,RAP1B,RRM1,HNRNPA1,SDHB,SFPQ,SMC4,SOD2,SRSF2,TPT1,TFAM,TOP1,TOP2B,TRIM27,UCP2,YEATS4,ZKSCAN1,ENO1,GNAS,CALR,SMARCA4,NPM1,EIF4EBP1,REL,BRD2,OGT,G3BP1,HSH2D
Aberration of the Drug's Therapeutic Target1.00e-012.10e-01123990823467Malignant cellsCDK4,IDH2,DHFR,MSH6,CD19,SF3B1,NPM1,AKR1B1
Irregularity in Drug Uptake and Drug Efflux1.30e-012.10e-01123937423467Malignant cellsSLC2A1,ABCE1,TAP1,SLC29A1
Drug Inactivation by Structure Modification1.70e-012.10e-01123927323467Malignant cellsGSTP1,DCK,SOD2
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0012394551323467Malignant cellsDNMT1,H2AFY,IDH2,EIF4G2,LMNA,PMAIP1,ARID4B,DNMT3A,GAPDH,SMC4,MALAT1,PPP1R15A,MT-CO2

Enrichment results for 1 known drug resistance mechanisms in TME cells

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MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Regulation by the Disease Microenvironment2.40e-022.40e-0230186223467Mono_MacroZEB2,CXCR4
Regulation by the Disease Microenvironment1.00e+001.00e+0062186023467Physiology B cellsNA

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
motifjaspar__MA1483.25.910.0584ELF2 (directAnnotation). Malignant cells
motifmetacluster_191.25.760.0575ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETS2_RCCGGAAGTG_HT5.520.0559ETS2 (directAnnotation). Malignant cells
motifmetacluster_174.35.330.0548MBD2; NFYA; NFYB; NFYC; PBX3 (directAnnotation). Malignant cells
motifcisbp__M081985.160.0537ELF1 (directAnnotation). Malignant cells
motifmetacluster_174.25.140.0536CEBPZ; 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
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP5.040.053ETV5; HOXA2 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ELK1_FOXI1_RSCGGATGTKKN_CAP5.030.0529ELK1; FOXI1 (directAnnotation). Malignant cells
motifmetacluster_197.250.0527E2F4; E2F7; E2F7; E2F7; E2F8; E2F8 (directAnnotation). Malignant cells
motifmetacluster_34.44.880.052ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifhocomoco__TYY2_HUMAN.H11MO.0.D4.140.0889YY2 (directAnnotation). Malignant cells
motifmetacluster_141.63.760.084MZF1; TAF1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY1; YY2; YY2; ZFP42; ZFP42; ZFP42; ZFP42; ZFP42; ZFP42; ZNF597 (directAnnotation). TAF1; TAF1L (inferredBy_Orthology). Malignant cells
motifmetacluster_3.103.510.0809KLF2; KLF4 (directAnnotation). Malignant cells
motiftaipale_cyt_meth__CREB1_NRTGACGTN_eDBD_repr3.450.0802CREB1 (directAnnotation). Malignant cells
motifmetacluster_7.53.410.0797PLAGL1; PLAGL1 (directAnnotation). Malignant cells
motifmetacluster_141.23.410.0796E2F2; E2F3 (directAnnotation). Malignant cells
motifmetacluster_163.13.40.0795KLF1; KLF1; KLF1; KLF1; KLF1; KLF1; KLF1; KLF10; KLF10; KLF12; KLF12; KLF12; KLF13; KLF16; KLF17; KLF2; KLF3; KLF3; KLF3; KLF3; KLF4; KLF4; KLF4; KLF4; KLF4; KLF5; KLF5; KLF5; KLF5; KLF6; KLF6; KLF6; KLF7; KLF9; KLF9; SALL4; SP1; ZNF148; ZNF148; ZNF526 (directAnnotation). EGR4; KLF1; KLF1; KLF12; KLF12; KLF12; KLF13; KLF14; KLF14; KLF14; KLF14; KLF14; KLF14; KLF16; KLF17; KLF17; KLF17; KLF17; KLF17; KLF18; KLF18; KLF18; KLF18; KLF18; KLF18; KLF2; KLF2; KLF3; KLF4; KLF4; KLF4; KLF4; KLF4; KLF4; KLF5; KLF5; KLF5; KLF6; KLF7; KLF7; KLF8; KLF8; KLF9; SP4; SP5; SP5; SP6; SP7; SP8; SP9; ZNF526 (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M017833.330.0786SP2 (directAnnotation). Malignant cells
motifmetacluster_144.83.320.0784ZNF30; ZNF30 (directAnnotation). Malignant cells
motifmetacluster_155.233.310.0783BCL11B; ZNF711; ZNF711 (directAnnotation). ZFY (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

ATF1

metacluster_111.3upMalignant cellsNA

ATF1

jaspar__MA0604.1upMalignant cellsNA

MTF2

cisbp__M00968upMalignant cellsNA

ETS2

taipale_tf_pairs__ETS2_RCCGGAAGTG_HTupMalignant cellsNA

NFYC

metacluster_174.3upMalignant cellsNA

CEBPZ

metacluster_174.2upMalignant cellsNA

NFYC

metacluster_174.2upMalignant cellsNA

NFYC

metacluster_174.6upMalignant cellsNA

ELK3

metacluster_191.3upMalignant cellsNA

ETS2

metacluster_191.3upMalignant cellsNA
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