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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_Pac

Dataset summary for GSE131984_Pac

Datast informationDatasetGSE131984_Pac
PMID32393766
Raw data ID/linkPRJNA545508
OrganismHomo sapiens
SourceSUM159 cell line
TissueCell line
Cancer type level1Breast cancer
Cancer type level2Triple-negative breast cancer (TNBC)
Regimenpaclitaxel
Drug typeChemotherapy
Sample sizeresistant 1, sensitive 2
Cell number1813
Extract protocol10x genomics
Data processingCellRanger 2.1.0
Public datePublic on Apr 08, 2020
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_Pac

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Paclitaxel"

DB01229

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

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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

COTL1

ENSG000001031870.2831412.12e-253.27e-210.9970.994Malignant cellsNA

MKI67

ENSG000001487730.2831212.01e-153.10e-110.9230.807Malignant cellsNA

SCO1

ENSG000001330280.282642.64e-174.07e-130.5550.359Malignant cellsNA

DDX24

ENSG000002737610.2823991.50e-142.31e-100.8870.782Malignant cellsNA

ARL2BP

ENSG000001029310.2822451.34e-142.07e-100.8830.836Malignant cellsNA

TMX1

ENSG000001399210.2822021.26e-131.94e-090.7410.613Malignant cellsNA

RP9

ENSG000001646100.2819451.52e-132.34e-090.5690.416Malignant cellsNA

CEBPZ

ENSG000001158160.2817554.13e-136.37e-090.7590.633Malignant cellsNA

ALKBH5

ENSG000000915420.2816965.38e-158.29e-110.6130.451Malignant cellsNA

TMEM5

NA0.2816491.45e-142.24e-100.6570.503Malignant cellsNA

PDCD2

ENSG000000719940.2815846.70e-201.03e-150.9630.949Malignant cellsNA

UBTF

ENSG000001083120.2815636.42e-149.90e-100.60.432Malignant cellsNA

SNX5

ENSG000000890060.280686.01e-139.26e-090.8870.797Malignant cellsNA

NBL1

ENSG000001587470.2805357.16e-131.10e-080.6210.473Malignant cellsNA

HSPA9

ENSG000001130130.2804452.03e-083.13e-040.910.849Malignant cellsNA

DLEU1

ENSG000001761240.2793287.93e-151.22e-100.4690.303Malignant cellsNA

COX20

ENSG000002036670.2792082.59e-183.99e-140.9810.966Malignant cellsNA

BLOC1S2

ENSG000001960720.2787154.83e-147.45e-100.8880.798Malignant cellsNA

BRI3BP

ENSG000001849920.2786087.75e-141.20e-090.5980.433Malignant cellsNA

HMBS

ENSG000002562690.2784284.02e-116.20e-070.7650.671Malignant cellsNA

SSNA1

ENSG000001761010.2782569.29e-201.43e-150.9850.965Malignant cellsNA

STOML2

ENSG000001652830.2776551.47e-242.27e-200.9960.992Malignant cellsNA

DDX56

ENSG000001362710.2774754.26e-126.57e-080.6450.502Malignant cellsNA

ZFR

ENSG000000560970.2769928.04e-151.24e-100.770.613Malignant cellsNA

LARP1

ENSG000001555060.2769871.91e-132.94e-090.8750.77Malignant cellsNA

TRIP13

ENSG000000715390.2769457.55e-111.16e-060.8220.74Malignant cellsNA

FERMT1

ENSG000001013110.2768141.28e-131.98e-090.4630.304Malignant cellsNA

ANP32B

ENSG000001369380.2767625.72e-228.82e-180.9960.994Malignant cellsNA

NPM3

ENSG000001078330.2764132.11e-183.25e-140.9840.962Malignant cellsNA

PAK1IP1

ENSG000002852260.2763393.80e-115.86e-070.6460.525Malignant cellsNA

NF2

ENSG000001865750.2759721.10e-131.70e-090.6260.464Malignant cellsNA

ZCCHC17

ENSG000001217660.2758162.81e-144.33e-100.8260.714Malignant cellsNA

TIMM10

ENSG000001348090.2758087.32e-181.13e-130.9410.868Malignant cellsNA

SFXN4

ENSG000001836050.2752052.30e-133.55e-090.5920.442Malignant cellsNA

ILKAP

ENSG000001323230.2749021.16e-111.79e-070.610.471Malignant cellsNA

CKS1B

ENSG000001732070.2748321.69e-182.60e-140.9930.962Malignant cellsNA

DDX17

ENSG000001002010.2742282.91e-144.49e-100.5760.405Malignant cellsNA

RFC3

ENSG000001331190.2742289.96e-131.54e-080.6480.501Malignant cellsNA

PABPC4

ENSG000000906210.2733131.26e-111.94e-070.8620.792Malignant cellsNA

PTGES3

ENSG000001109580.2730263.47e-195.35e-1510.996Malignant cellsNA

PPP2CA

ENSG000001135750.2727046.38e-099.83e-050.8620.769Malignant cellsNA

MRPL47

ENSG000001365220.272264.69e-117.23e-070.9020.863Malignant cellsNA

C17orf89

NA0.2721891.07e-151.65e-110.9930.977Malignant cellsNA

EIF3A

ENSG000001075810.2719142.80e-164.32e-120.960.916Malignant cellsNA

CRLS1

ENSG000000887660.2716471.95e-143.00e-100.8520.774Malignant cellsNA

MT-ND6

ENSG000001986950.2716395.26e-108.10e-060.7140.588Malignant cellsNA

POLR2A

ENSG000002848320.2714314.15e-186.39e-140.430.239Malignant cellsNA

SGTA

ENSG000001049690.2709881.02e-121.58e-080.7380.62Malignant cellsNA

HELLS

ENSG000001199690.270936.46e-129.95e-080.6840.532Malignant cellsNA

EIF6

ENSG000002423720.2708335.99e-149.23e-100.9870.961Malignant 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-095.50e-098707816523467Malignant cellsAURKA,BBC3,BIRC5,CDK4,CFLAR,DNMT1,FADD,HMGA1,ID1,IFI27,IL6,ISG15,JUN,MAP1LC3B,PDGFRA,S100A4,STMN1,TIMP3,SLC25A5,ANXA1,BAG1,BTG1,CCND1,CCNG1,HSPD1,COL1A1,DKK1,DUSP1,EGR1,EIF3A,FUS,HNRNPU,HSPA8,HSPB1,IDH1,EIF4E,NFKBIA,IL18,LAMP2,MTDH,MAP3K8,MXD4,NF2,MYO10,PLK1,HRAS,RRM2,S100A11,SFPQ,SMC4,SOD2,TFAM,TMED3,TNFAIP3,TOP1,UBE2C,FASN,CEBPD,IDI1,INSIG1,SPHK1,SAFB2,EBP,NUPR1,ACAT2
Irregularity in Drug Uptake and Drug Efflux4.70e-021.20e-0187037423467Malignant cellsABCF2,ABCE1,SLC7A5,SLC29A1
Drug Inactivation by Structure Modification7.70e-021.30e-0187027323467Malignant cellsSOD2,CDA,NME1
Aberration of the Drug's Therapeutic Target2.40e-013.00e-0187090523467Malignant cellsCDK4,PDGFRA,IDH1,MAOA,AKR1B1
Epigenetic Alteration of DNA, RNA or Protein9.50e-019.50e-018704551123467Malignant cellsDNMT1,EIF4G2,IL6,PMAIP1,IDH1,MAP3K8,SMC4,TIMP1,MALAT1,PPP1R15A,DLEU1


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__ETS2_RCCGGAAGTG_HT5.520.0588ETS2 (directAnnotation). Malignant cells
motifmetacluster_34.45.390.0579ETS1; ETS1; ETS1; HCFC1; SIX5; SIX5; SIX5; SIX5; SMARCC2; SMARCC2; THAP11; THAP11; ZNF143; ZNF143; ZNF143; ZNF143 (directAnnotation). TBX2; THAP11; THAP11; ZNF143 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__MEIS1_ELF1_NTGCCGGAAGTN_CAP_repr4.830.0541ELF1; MEIS1 (directAnnotation). Malignant cells
motifmetacluster_166.24.460.0516ELK4; ETS1; ETS1; ETV1; ETV3; ETV4; ETV5; ETV7 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifmetacluster_191.34.260.0503EHF; 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
motifmetacluster_34.34.240.0501EGR1; ETS1; SETDB1; SIX5; SIX5; ZNF143; ZNF76 (directAnnotation). Malignant cells
motifmetacluster_191.24.20.0499ELK4; NR2C2; NR2C2; NR2C2; NR2C2 (directAnnotation). GABPA (inferredBy_Orthology). Malignant cells
motifjaspar__MA1483.24.020.0486ELF2 (directAnnotation). Malignant cells
motiftaipale_tf_pairs__ETV5_HOXA2_RSCGGWAATKR_CAP3.920.0479ETV5; HOXA2 (directAnnotation). Malignant cells
motifmetacluster_166.43.880.0477BCLAF1; 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
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_22.295.250.0693NFE2 (directAnnotation). Malignant cells
motifmetacluster_174.35.140.0685MBD2; NFYA; NFYB; NFYC; PBX3 (directAnnotation). Malignant cells
motifmetacluster_22.254.840.066NFE2L2 (directAnnotation). Malignant cells
motifmetacluster_2.74.810.0658IRF1; IRF1; IRF2; IRF2; IRF3; IRF4; IRF5; IRF6; IRF7; IRF7; IRF8; IRF8; IRF9; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; PRDM1; STAT1; STAT1; STAT2 (directAnnotation). PRDM1; PRDM1; PRDM1 (inferredBy_Orthology). Malignant cells
motifmetacluster_22.124.660.0645NFE2; NFE2L1 (directAnnotation). Malignant cells
motifjaspar__MA0502.24.510.0633NFYB (directAnnotation). Malignant cells
motifmetacluster_22.184.490.0632BACH2 (inferredBy_Orthology). Malignant cells
motifjaspar__MA0604.14.460.063ATF1 (inferredBy_Orthology). Malignant cells
motifhomer__GGAAATTCCC_NFkB-p65-Rel4.450.0629RELA (inferredBy_Orthology). Malignant cells
motifmetacluster_22.324.410.0626NFE2L2 (directAnnotation). 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

CEBPZ

metacluster_174.2upMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_HOXA13_GGWATGNNNRTAAA_CAP_reprupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_DRGX_GGAATGTTAATTR_CAPupMalignant cellsNA

FOSL1

metacluster_137.2upMalignant cellsNA

PITX1

taipale_tf_pairs__TEAD4_PITX1_RCATWCNNNNNGGATTA_CAP_reprupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_PITX1_RCATWCNNNNNGGATTA_CAP_reprupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_HOXB13_GGWATGNNNRTAAA_CAPupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_ETV4_RCCGGAAATRCC_CAPupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_ERG_RSCGGAAATRCC_CAP_reprupMalignant cellsNA

TEAD4

taipale_tf_pairs__TEAD4_ERG_RSCGGAAATRCC_CAPupMalignant 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."