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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: GSE131984_Pal

Dataset summary for GSE131984_Pal

Datast informationDatasetGSE131984_Pal
PMID32393766
Raw data ID/linkPRJNA545508
OrganismHomo sapiens
SourceSUM159 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Triple-negative breast cancer (TNBC)
Regimenpalbociclib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number1754
Extract protocol10x genomics
Data processingCellRanger 2.1.0
Public datePublic on Apr 08, 2022
DescriptionThis dataset has 1 cell line with 2 sensitive pre-treatment samples and 1 resistant post-treatment sample.

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Drug summary for GSE131984_Pal

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Palbociclib"

DB09073

small moleculeCDK4; CDK6P11802; Q00534

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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

NOP56

ENSG00000101361-0.44472.37e-263.75e-220.8020.903Malignant cellsNA

PSMB7

ENSG00000136930-0.4450795.02e-367.94e-320.9840.994Malignant cellsNA

XRCC6

ENSG00000196419-0.4451842.41e-253.82e-210.8530.926Malignant cellsNA

SDHB

ENSG00000117118-0.4455311.23e-271.94e-230.8860.948Malignant cellsNA

PRPS2

ENSG00000101911-0.4457951.24e-261.96e-220.3640.598Malignant cellsNA

PSMC2

ENSG00000161057-0.4458886.28e-219.93e-170.5090.697Malignant cellsNA

SIVA1

ENSG00000184990-0.445971.03e-401.63e-360.980.989Malignant cellsNA

TMEM70

ENSG00000175606-0.4460912.77e-254.38e-210.5180.708Malignant cellsNA

CISD2

ENSG00000145354-0.4471556.52e-311.03e-260.8050.903Malignant cellsNA

GTF2A2

ENSG00000140307-0.4473632.76e-394.36e-350.9670.99Malignant cellsNA

PAICS

ENSG00000128050-0.4486392.08e-333.30e-290.8930.948Malignant cellsNA

NHP2L1

NA-0.4486571.40e-451.85e-410.9941Malignant cellsNA

PAK1IP1

ENSG00000285226-0.4489994.58e-247.25e-200.3040.533Malignant cellsNA

CMSS1

ENSG00000184220-0.4499281.50e-272.37e-230.7820.88Malignant cellsNA

DAD1

ENSG00000129562-0.4500245.18e-348.19e-300.9130.971Malignant cellsNA

SNRPB2

ENSG00000125870-0.450476.47e-271.02e-220.8370.905Malignant cellsNA

H2AFX

NA-0.4506234.04e-236.39e-190.4680.665Malignant cellsNA

RAB2A

ENSG00000104388-0.4508652.59e-294.09e-250.7690.894Malignant cellsNA

HPCAL1

ENSG00000115756-0.4509611.12e-311.78e-270.960.982Malignant cellsNA

PSMD12

ENSG00000197170-0.4511256.05e-209.57e-160.5860.733Malignant cellsNA

YRDC

ENSG00000196449-0.4519861.28e-292.03e-250.3560.614Malignant cellsNA

MRPS26

ENSG00000125901-0.4520681.83e-312.89e-270.8250.927Malignant cellsNA

C19orf10

NA-0.4528157.89e-421.25e-370.980.994Malignant cellsNA

PLK1

ENSG00000166851-0.4531.29e-172.04e-130.3560.56Malignant cellsNA

EIF3I

ENSG00000084623-0.453091.90e-363.00e-320.9570.993Malignant cellsNA

MRPS12

ENSG00000283018-0.4542093.19e-345.05e-300.9130.964Malignant cellsNA

CNN3

ENSG00000117519-0.4544973.50e-195.53e-150.3920.581Malignant cellsNA

PSMD6

ENSG00000163636-0.4547371.64e-152.60e-110.6480.752Malignant cellsNA

HNRNPA2B1

ENSG00000122566-0.4553880.00e+000.00e+0010.999Malignant cellsNA

TARS

NA-0.4555571.31e-292.08e-250.7390.872Malignant cellsNA

SPATS2L

ENSG00000196141-0.4556684.06e-306.42e-260.6480.831Malignant cellsNA

MRPL4

ENSG00000105364-0.458253.64e-385.75e-340.9050.971Malignant cellsNA

AK2

ENSG00000004455-0.4582591.06e-291.68e-250.7070.853Malignant cellsNA

HRAS

ENSG00000276536-0.4584249.90e-341.57e-290.8830.947Malignant cellsNA

RAD23A

ENSG00000179262-0.459261.21e-411.91e-370.9310.981Malignant cellsNA

SFTA1P

ENSG00000225383-0.4595036.37e-281.01e-230.1830.43Malignant cellsNA

DYNLL1

ENSG00000088986-0.4597461.05e-371.67e-330.9940.994Malignant cellsNA

TMED9

ENSG00000184840-0.4602093.14e-314.96e-270.9120.968Malignant cellsNA

MLLT11

ENSG00000213190-0.460681.20e-261.89e-220.750.864Malignant cellsNA

DDX21

ENSG00000165732-0.4607831.71e-322.71e-280.9350.982Malignant cellsNA

POMP

ENSG00000132963-0.4614551.06e-421.67e-380.9971Malignant cellsNA

LLPH

ENSG00000139233-0.4619028.60e-291.36e-240.4940.709Malignant cellsNA

NANS

ENSG00000095380-0.462958.05e-271.27e-220.6610.833Malignant cellsNA

PSMB2

ENSG00000126067-0.4630298.23e-311.30e-260.8930.968Malignant cellsNA

IMP3

ENSG00000177971-0.4631625.46e-308.63e-260.7490.877Malignant cellsNA

CAPN2

ENSG00000162909-0.4632458.22e-331.30e-280.8870.951Malignant cellsNA

STIP1

ENSG00000168439-0.4633051.27e-242.01e-200.4440.641Malignant cellsNA

UFD1L

NA-0.463373.23e-325.10e-280.810.921Malignant cellsNA

CNIH4

ENSG00000143771-0.4636512.49e-333.94e-290.9050.945Malignant cellsNA

SBDS

ENSG00000126524-0.4645511.13e-241.79e-200.690.821Malignant 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
boxplot
MechnismPvalFDRSignatureGenesetOverlapBackgroundCell typeEnriched Genes
Unusual Activation of Pro-survival Pathway1.10e-165.60e-16157078111723467Malignant cellsABL1,ANXA2,ATG5,AURKA,BAX,BIRC5,CDK4,CIAPIN1,DNMT1,DUSP6,EPAS1,FADD,HIF1A,HMGA1,HMGB1,IL6,PKM,MCL1,MEF2D,MUC1,MYC,PARP1,PDGFRA,RHOA,S100A4,SHC1,STMN1,TGFBR2,PBK,TYMS,VEGFA,SLC25A5,AIFM1,AKAP12,ANXA1,ATG3,BAG1,HSPA5,BRD7,CAV2,CCNA2,CCNB1,CDK1,CCND1,CCNG2,CD44,HSPD1,COL1A1,CSF1,DKK1,DUSP1,DUSP2,EGR1,HSP90B1,ERRFI1,EZH2,EZR,FN1,FOXO3,FUS,GRB2,GCLM,HAX1,HIPK2,HMGB2,HMGN5,HSPA8,EIF4A3,EIF4E,NFKBIA,ITGA5,ITGB1,LDHA,LRRFIP1,MTDH,MXD4,MAGEA3,MYBL2,PIK3R1,PDCD10,PDCD4,PGK1,AGPAT2,PLK1,POMP,PSMB5,RAC1,RAP1B,HRAS,RRM1,RRM2,S100A11,SDHB,SMC4,SOD2,SRSF2,STAT3,TFAM,TNFAIP3,UBE2C,USP22,ZKSCAN1,ENO1,FASN,IDH3A,GNAS,NPM1,CEBPD,EIF4EBP1,IDI1,INSIG1,SQLE,PMVK,EBP,TRIB3,APP,ACAT2
Drug Inactivation by Structure Modification2.70e-016.70e-01157027323467Malignant cellsSOD2,CDA,NME1
Irregularity in Drug Uptake and Drug Efflux4.50e-017.00e-01157037323467Malignant cellsSLC3A2,ABCA1,ABCE1
Aberration of the Drug's Therapeutic Target5.60e-017.00e-01157090623467Malignant cellsABL1,CDK4,PDGFRA,EZH2,NPM1,MAOA
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0015704551723467Malignant cellsABL1,ATG5,DNMT1,H2AFY,IL6,LMNA,TYMS,PMAIP1,EZH2,FOXO3,PDCD4,SMC4,MALAT1,GDI2,PPP1R15A,MT-CO2,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
motifcisbp__M001613.980.0839FOXJ1 (inferredBy_Orthology). Malignant cells
motifmetacluster_26.73.690.0808MYNN; MYNN (directAnnotation). Malignant cells
motiftransfac_pro__M072603.630.0801IKZF1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__HOXB13_ONECUT2_NNNRTAAAWATYGAYY_CAP3.590.0796HOXB13; ONECUT2 (directAnnotation). Malignant cells
motiftransfac_pro__M054623.520.0789ZNF581 (directAnnotation). Malignant cells
motiftransfac_pro__M018353.450.0781KLF4 (directAnnotation). Malignant cells
motifjaspar__MA1125.13.420.0778ZNF384 (directAnnotation). Malignant cells
motifmetacluster_134.73.40.0775FOXD2; FOXG1; FOXI1; FOXJ2; FOXJ2; FOXJ3; FOXJ3; FOXK1; FOXK1; FOXK2; FOXO4; FOXO6; FOXP2 (directAnnotation). FOXC1; FOXO1; FOXO6 (inferredBy_Orthology). Malignant cells
motifmetacluster_127.23.350.077FOXA1; FOXA2; FOXA3; FOXC1; FOXC1; FOXC2; FOXD1; FOXD1; FOXF2; FOXF2; FOXJ1; FOXK2; FOXK2; FOXO6; FOXP1; FOXP1; FOXP1; FOXP1 (directAnnotation). FOXD2; FOXF1; FOXL3; FOXO1; FOXO3 (inferredBy_Orthology). Malignant cells
motifkznf__ZNF613_Imbeault2017_RP_RCADE3.340.0769ZNF613 (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_HT7.550.0658ETS2 (directAnnotation). Malignant cells
motifmetacluster_191.36.550.06EHF; ELF1; ELF1; ELF1; ELF4; ELK1; ELK3; ELK3; ELK4; ELK4; ERF; ETS1; ETS2; ETV3; ETV4; ETV5; FEV; FEV; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; SPDEF; ZNF200 (directAnnotation). ELK1; ELK1; ELK3; ELK3; ELK4; ELK4; ETV1; ETV1; ETV4; ETV4; ETV4; ETV5; GABPA; GABPA (inferredBy_Orthology). Malignant cells
motiftransfac_pro__M048266.350.0589EP300 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP6.10.0574ETV5; HOXA2 (directAnnotation). Malignant cells
motifmetacluster_166.46.010.0569BCLAF1; EHF; ELF1; ELF1; ELF1; ELF1; ELF1; ELF1; ELF2; ELF2; ELF4; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK1; ELK3; ELK3; ELK3; ELK3; ELK4; ERG; ERG; ERG; ERG; ETS1; ETS1; ETS1; ETS1; ETS1; ETV1; ETV1; ETV1; ETV1; ETV2; ETV3; ETV4; ETV4; ETV4; ETV4; ETV4; ETV5; ETV7; FEV; FEV; FLI1; FLI1; FLI1; FLI1; GABPA; GABPA; GABPA; GABPA; GABPA; GABPA; GABPB1; GATAD1; PHF20; ZBTB25; ZBTB40 (directAnnotation). EHF; ELF1; ELF1; ELF3; ELF5; ELK3; ELK4; ERG; ETS1; ETV1; ETV2; ETV4; FLI1; GABPA; GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_191.25.960.0566ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ELK1_HOXA1_RCCGGAAGTAATTA_HT5.550.0542ELK1; HOXA1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr5.510.054ELF1; MEIS1 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__FOXO1_ELK3_RCCGGAWGTKKW_CAP5.50.0539ELK3; FOXO1 (directAnnotation). Malignant cells
motifmetacluster_166.25.360.0531ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (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

ETV1

metacluster_191.3upMalignant cellsNA

ETV1

metacluster_166.4upMalignant cellsNA

ETV1

metacluster_166.2upMalignant cellsNA

FOS

metacluster_174.2upMalignant cellsNA

ETV1

metacluster_138.2upMalignant cellsNA

ETV1

taipale_tf_pairs__HOXB2_ETV1_ACCGGAAATGA_CAPupMalignant cellsNA

ETV1

taipale_tf_pairs__TEAD4_ETV1_RSCGGAAATRCM_CAPupMalignant cellsNA

EGR1

metacluster_55.3upMalignant cellsNA

EGR1

metacluster_34.3upMalignant cellsNA

ZNF581

transfac_pro__M05462upMalignant 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."