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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

PTDSS1

ENSG000001564710.5166791.79e-362.76e-320.8350.665Malignant cellsNA

CYCS

ENSG000001721150.515270.00e+000.00e+0010.996Malignant cellsNA

AC010642.1

NA0.51491.22e-421.89e-380.8090.531Malignant cellsNA

TNFRSF12A

ENSG000000063270.5127630.00e+000.00e+000.9990.995Malignant cellsNA

ARPC5L

ENSG000001369500.5103860.00e+000.00e+000.9830.942Malignant cellsNA

PITHD1

ENSG000000577570.5062478.80e-391.36e-340.8020.573Malignant cellsNA

AUP1

ENSG000001153070.5020620.00e+000.00e+000.9730.938Malignant cellsNA

BRMS1

ENSG000001747440.499445.60e-398.63e-350.8870.726Malignant cellsNA

NOP58

ENSG000000550440.496622.32e-303.57e-260.8560.689Malignant cellsNA

ORMDL1

ENSG000001286990.4930992.81e-424.33e-380.9480.836Malignant cellsNA

ITGAE

ENSG000000834570.4898720.00e+003.66e-430.9810.919Malignant cellsNA

ITGB1BP1

ENSG000001191850.4890110.00e+000.00e+000.9990.993Malignant cellsNA

ATAD3A

ENSG000001977850.4887861.74e-362.69e-320.8110.611Malignant cellsNA

IMP4

ENSG000001367180.4882831.40e-442.07e-400.9630.842Malignant cellsNA

CENPV

ENSG000001665820.4879722.49e-373.84e-330.9360.896Malignant cellsNA

RRP1

ENSG000001602140.4879642.35e-323.62e-280.7550.541Malignant cellsNA

DNAJA1

ENSG000000860610.4877181.85e-282.85e-240.9320.874Malignant cellsNA

HSPE1

ENSG000001155410.4876980.00e+000.00e+0011Malignant cellsNA

PUS1

ENSG000001771920.486291.71e-382.63e-340.6860.406Malignant cellsNA

IMP3

ENSG000001779710.4834311.25e-401.92e-360.9560.88Malignant cellsNA

EMG1

ENSG000001267490.4819687.26e-331.12e-280.8720.729Malignant cellsNA

SLC7A5

ENSG000001032570.4774563.00e-324.63e-280.6690.417Malignant cellsNA

MFSD12

ENSG000001610910.4767452.36e-313.64e-270.8540.693Malignant cellsNA

AURKA

ENSG000000875860.4740732.07e-233.19e-190.7170.511Malignant cellsNA

TFAM

ENSG000001080640.4730631.16e-331.79e-290.8460.667Malignant cellsNA

ATP6V0B

ENSG000001174100.4711660.00e+003.91e-430.9970.989Malignant cellsNA

TRMT6

ENSG000000891950.4689151.34e-312.06e-270.7620.516Malignant cellsNA

NAA50

ENSG000001215790.4687592.92e-384.51e-340.9280.812Malignant cellsNA

PTS

ENSG000001507870.4669852.80e-454.00e-410.9720.904Malignant cellsNA

MRPL21

ENSG000001973450.4664910.00e+001.69e-420.9870.959Malignant cellsNA

RRP1B

ENSG000001602080.4652223.84e-335.91e-290.7350.493Malignant cellsNA

DCUN1D5

ENSG000001376920.4643526.15e-399.48e-350.9760.939Malignant cellsNA

RSL1D1

ENSG000001714900.4617521.45e-362.23e-320.9810.955Malignant cellsNA

MT2A

ENSG000001251480.4615291.81e-342.79e-3010.997Malignant cellsNA

DNAJC2

ENSG000001058210.4598456.91e-351.07e-300.9060.747Malignant cellsNA

DYNLL1

ENSG000000889860.4565260.00e+000.00e+0010.993Malignant cellsNA

COA4

ENSG000001819240.454521.88e-392.89e-350.9870.967Malignant cellsNA

CLSPN

ENSG000000928530.4541853.18e-294.90e-250.7710.553Malignant cellsNA

TRMT61A

ENSG000001661660.4535192.70e-394.17e-350.5230.238Malignant cellsNA

TRIAP1

ENSG000001708550.4533676.61e-341.02e-290.880.725Malignant cellsNA

EMC8

ENSG000001311480.448885.92e-359.13e-310.9350.838Malignant cellsNA

TCOF1

ENSG000000708140.4472751.03e-291.58e-250.7910.587Malignant cellsNA

RPL22L1

ENSG000001635840.4461516.67e-291.03e-2410.996Malignant cellsNA

TEX30

ENSG000001512870.4460552.43e-293.75e-250.6380.402Malignant cellsNA

TOP1

ENSG000001989000.4454575.67e-368.74e-320.9640.891Malignant cellsNA

DCTPP1

ENSG000001799580.4453165.25e-358.10e-310.9730.909Malignant cellsNA

RRM2

ENSG000001718480.4448222.00e-283.08e-240.9430.821Malignant cellsNA

TIMM22

ENSG000002785010.4442912.56e-283.94e-240.7350.526Malignant cellsNA

ALG3

ENSG000002141600.4437646.84e-301.05e-250.860.709Malignant cellsNA

EIF5

ENSG000001006640.4407997.16e-381.10e-330.9950.986Malignant 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."