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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: GSE175716

Dataset summary for GSE175716

Datast informationDatasetGSE175716
PMID34421602
Raw data ID/linkPRJNA733283
OrganismHomo sapiens
SourcePDX
TissueTumor tissue
Cancer type level1Liver cancer
Cancer type level2Advanced hepatocellular carcinoma
Regimensorafenib
Drug typeTargeted therapy
Sample sizeresistant 1, sensitive 2
Cell number6823
Extract protocolBD Rhapsody system
Data processingNovelBio Bio-Pharm Technology Co., Ltd.
Public datePublic on Aug 24, 2021
DescriptionThis dataset has 3 PDX.

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Drug summary for GSE175716

Drug nameDrugBank IDDrug typeTargets nameTargets uniprot ID
"Sorafenib"

DB00398

small moleculeBRAF; RAF1; FLT4; KDR; FLT3; PDGFRB; KIT; FGFR1; RET; FLT1P15056; P04049; P35916; P35968; P36888; P09619; P10721; P11362; P07949; P17948

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Umap of single cell types and conditions (resistant and sensitive)

check buttonUmap of cell types and conditions (resistant and sensitive). If this dataset has both pre-treatment and post-treatment samples, the cell types were annotated together. If this dataset is a cell line dataset, the UMAP of cell clusters and the cell ratio of drug-resistant and sensitive groups within each cluster will also be shown. (If the image exists, the user can click on it to enlarge it in a new window.)
Umap of cell typesboxplotUmap of conditionsboxplot

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Comparison of cell composition between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

check buttonIn the post-treatment samples, the cell composition of the resistant and sensitive groups were compared.
* represents significant difference.
(If the image exists, the user can click on it to enlarge it in a new window.)

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Comparison of ITH and EMT scores of malignant cells between the resistant and sensitive groups

check buttonComparison of ITH (intra-tumoral heterogeneity) and EMT (epithelial-mesenchymal transition) scores of malignant cells between the resistant and sensitive groups. ITH represents intratumoral heterogeneity, EMT represents epithelial mesenchymal transition, pre represents pre-treatment, post represents post-treatment, post2 represents longer post-treatment. (If the image exists, the user can click on it to enlarge it in a new window.)
Comparison of ITH scoresboxplotComparison of EMT scoresboxplot

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Difference of cell-cell interactions between the resistant and sensitive groups

check buttonIn the pre-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonIn the post-treatment samples, the difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The difference in cell-cell interactions between the resistant and sensitive groups was compared. The numbers indicate the count of cell-cell interactions that were either higher or lower in the resistant group compared to the sensitive group. The dot plots of significant ligand-receptor pairs in the resistant group and sensitive group are subsequently displayed. (If the image exists, the user can click on it to enlarge it in a new window. Complete files can be downloaded from the download section.)

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Differentially expressed genes (DEGs) between the resistant and sensitive groups for each cell type

check buttonIn the pre-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonIn the post-treatment samples, the differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.

check buttonThis dataset only has one patient or is a cell line dataset, the resistant sample is the post-treatment sample and the sensitive sample is the pre-treatment sample. The following are differentially expressed genes (|avg_log2FC|>0.25 & p_val_adj<0.05) between the resistant and sensitive groups for each cell type.
Gene symbolGene idavg_log2FCp_valp_val_adjpct.1pct.2Cell typeTimepoint

NOSIP

ENSG00000142546-0.4561540.00e+007.01e-450.0530.271Malignant cellsNA

RAB1A

ENSG00000138069-0.4571258.42e-181.92e-130.9210.932Malignant cellsNA

SMIM19

ENSG00000176209-0.457185.61e-451.19e-400.2490.484Malignant cellsNA

MAN2A1

ENSG00000112893-0.4574760.00e+008.69e-440.1160.357Malignant cellsNA

ARHGAP12

ENSG00000165322-0.45755.86e-351.34e-300.3720.551Malignant cellsNA

UBIAD1

ENSG00000120942-0.4577530.00e+000.00e+0000.274Malignant cellsNA

C19orf70

NA-0.4580428.37e-241.91e-190.2880.424Malignant cellsNA

TXLNGY

ENSG00000131002-0.4582910.00e+000.00e+0000.254Malignant cellsNA

PDLIM5

ENSG00000163110-0.458372.50e-275.72e-230.6160.707Malignant cellsNA

TMEM2

NA-0.458636.45e-421.47e-370.5910.746Malignant cellsNA

PLA2G4A

ENSG00000116711-0.4588411.24e-422.84e-380.1010.315Malignant cellsNA

TNKS1BP1

ENSG00000149115-0.4592670.00e+000.00e+000.0990.376Malignant cellsNA

RELA

ENSG00000173039-0.4596350.00e+000.00e+000.4350.646Malignant cellsNA

USP6NL

ENSG00000148429-0.4599010.00e+000.00e+0000.259Malignant cellsNA

CCDC50

ENSG00000152492-0.4599389.83e-212.25e-160.6030.671Malignant cellsNA

POP5

ENSG00000167272-0.4602970.00e+000.00e+000.1410.389Malignant cellsNA

PSD3

ENSG00000156011-0.4605460.00e+000.00e+000.0080.267Malignant cellsNA

STXBP3

ENSG00000116266-0.4605820.00e+002.80e-450.1150.357Malignant cellsNA

ERN1

ENSG00000178607-0.4610461.56e-193.56e-150.2530.386Malignant cellsNA

DPY30

ENSG00000162961-0.4616360.00e+000.00e+000.6810.818Malignant cellsNA

C11orf58

ENSG00000110696-0.4617870.00e+000.00e+000.7510.872Malignant cellsNA

SLC17A3

ENSG00000124564-0.4619010.00e+000.00e+000.0210.278Malignant cellsNA

GABARAPL2

ENSG00000034713-0.4619470.00e+001.54e-440.6260.774Malignant cellsNA

BAMBI

ENSG00000095739-0.4619580.00e+007.93e-430.080.305Malignant cellsNA

EIF4G1

ENSG00000114867-0.4625231.82e-444.03e-400.5850.724Malignant cellsNA

FYTTD1

ENSG00000122068-0.4625450.00e+000.00e+000.1290.411Malignant cellsNA

GTF2E2

ENSG00000197265-0.4630740.00e+000.00e+000.0760.344Malignant cellsNA

TJP1

ENSG00000277401-0.4638670.00e+000.00e+000.1040.368Malignant cellsNA

IRF6

ENSG00000117595-0.4641341.40e-452.80e-410.0590.269Malignant cellsNA

MLPH

ENSG00000115648-0.4643430.00e+000.00e+000.0060.263Malignant cellsNA

SYVN1

ENSG00000162298-0.4645720.00e+000.00e+000.0560.303Malignant cellsNA

GPAT3

ENSG00000138678-0.4647590.00e+000.00e+000.1030.372Malignant cellsNA

DOCK5

ENSG00000147459-0.4652590.00e+000.00e+000.0380.294Malignant cellsNA

SUMF1

ENSG00000144455-0.4653531.75e-434.02e-390.1170.337Malignant cellsNA

IFI35

ENSG00000068079-0.4660130.00e+000.00e+000.0510.282Malignant cellsNA

HOOK3

ENSG00000168172-0.4661220.00e+000.00e+000.0430.268Malignant cellsNA

ATP6V1B2

ENSG00000147416-0.466370.00e+000.00e+000.1160.4Malignant cellsNA

ACVR1

ENSG00000115170-0.4664341.22e-372.78e-330.1260.325Malignant cellsNA

RHOG

ENSG00000177105-0.467030.00e+000.00e+000.2080.493Malignant cellsNA

TANK

ENSG00000136560-0.4670851.45e-253.32e-210.6030.684Malignant cellsNA

PDCD10

ENSG00000114209-0.4671118.68e-341.98e-290.4610.606Malignant cellsNA

AFDN

ENSG00000130396-0.4672170.00e+007.36e-430.1260.365Malignant cellsNA

TMEM208

ENSG00000168701-0.4687265.21e-381.19e-330.1640.369Malignant cellsNA

SMAGP

ENSG00000170545-0.4690020.00e+000.00e+000.0020.279Malignant cellsNA

UBE2W

ENSG00000104343-0.4691710.00e+000.00e+0000.28Malignant cellsNA

HSD17B11

ENSG00000198189-0.4691829.09e-262.08e-210.5740.665Malignant cellsNA

NAA38

ENSG00000183011-0.4696696.56e-261.50e-210.3230.457Malignant cellsNA

CCDC25

ENSG00000147419-0.469710.00e+000.00e+000.150.416Malignant cellsNA

UNG

ENSG00000076248-0.4700590.00e+000.00e+0000.26Malignant cellsNA

PFDN5

ENSG00000123349-0.4702080.00e+000.00e+000.9470.982Malignant 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 Pathway9.20e-294.60e-28287478120823467Malignant cellsPPP2R5A,ADAM10,ADAM9,AKT2,ANXA2,AREG,CDH1,CDK6,CDKN1A,CUL5,DUSP6,GLS,HIF1A,HMGB1,HMOX1,HSPA1A,EIF4G1,IFI27,JUN,PKM,MAGEA6,MAGEA12,MCL1,MEF2D,MET,MAPK1,MUC1,MYC,NFKB1,PARP1,RAB6A,KRAS,RPS6,SELENOW,SMAD4,SOX4,SOX9,SRC,STMN1,TGFBR2,TPD52,TYMS,VOPP1,XIAP,YAP1,YWHAZ,SLC25A5,AGR2,AKAP12,AKT3,ANXA1,NET1,BAK1,BCL10,BID,BRD4,BTG1,CAV2,CCL2,ALCAM,CDC27,CDKN2A,CLU,CTNND1,CXCR4,DDR1,DICER1,DKK1,DUSP1,E2F6,EGR1,EGR2,EHF,HSP90B1,EP300,EPHA2,ERCC1,EREG,ETS1,EZH2,EZR,FAT1,FGF2,FN1,FIS1,FOXA1,FTL,FUS,GAPDH,GATA6,GRB2,GCLM,GSR,HBEGF,HIPK3,HMGB2,HSPA8,HSPB1,IDH1,NFKBIA,CXCL8,JAG1,AK4,KAT6A,RPS6KA3,RPS6KB1,LAMP2,LASP1,LATS2,LDHA,MAP3K1,MAP3K5,MAP3K8,MAGEA3,MDM2,MED1,MITF,MAPK3,MOB1A,MAP2K2,IGF2R,MSH2,NF1,NQO1,NUCKS1,OAZ2,SPP1,PDCD10,PDE4D,PTGS2,PGK1,PRKDC,PSMB5,PTPN12,RAC1,RAP1B,RASSF1,RAB22A,RICTOR,RRM1,HNRNPA1,RSF1,RSU1,S100A8,S100A11,SAV1,SDC2,SFPQ,SIAH2,SIRT1,SMAD3,SMC4,SOCS6,SRI,SP1,SPIN1,SRF,STAT5B,TPT1,TFAM,TGFBR1,TNFAIP3,TNFSF10,TOM1,TOP1,TWF1,USP14,WEE1,YBX1,YES1,ZEB1,ZNF217,ENO1,FASN,MAGEA4,RASS
Aberration of the Drug's Therapeutic Target2.10e-015.20e-012874901423467Malignant cellsAKT2,CDK6,MET,CREBBP,CDKN2A,EZH2,IDH1,MAP2K2,PTGS2,JAK1,SF3B1,NPM1,AKR1B1,TOP2A
Drug Inactivation by Structure Modification4.30e-016.00e-01287427423467Malignant cellsCES1,CDA,NME1,PON1
Irregularity in Drug Uptake and Drug Efflux4.80e-016.00e-01287437523467Malignant cellsSLC3A2,ABCB1,ABCC2,SLC4A4,SLC7A11
Epigenetic Alteration of DNA, RNA or Protein1.00e+001.00e+0028744552723467Malignant cellsH2AFY,MET,TRIP6,TYMS,XIAP,CREBBP,CCL2,CDKN2A,CXCR4,EZH2,GAPDH,IDH1,CXCL8,MAP3K8,MAPK3,RASSF1,SIRT1,SMC4,TIMP1,SNHG14,GDI2,AKT3,PPP1R15A,SMYD2,MT-CO2,NABP1,HULC


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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boxplot

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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
motifmetacluster_55.34.140.0575E2F6; EGR1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; NRF1; ZBTB2; ZSCAN10 (directAnnotation). NFE2L1; NRF1; NRF1; NRF1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__ETV5_CEBPD_NSCGGANNTTRCGYAAN_CAP3.890.0557CEBPD; ETV5 (directAnnotation). Malignant cells
motifdbtfbs__GMEB1_K562_ENCSR928KOR_merged_N13.840.0552GMEB1 (directAnnotation). Malignant cells
motifstark__RCGCMATTW3.730.0545YY1 (inferredBy_Orthology). Malignant cells
motiftaipale_tf_pairs__GCM1_SPDEF_RTRSKGGCGGANNNNNNATCCNNN_CAP_repr3.730.0544GCM1; SPDEF (directAnnotation). Malignant cells
motiftaipale_cyt_meth__ZNF385D_NCGTCGCGACGN_eDBD_meth3.640.0538ZNF385D (directAnnotation). Malignant cells
motiftaipale_tf_pairs__TFAP2C_MAX_TNSCCNNNGGSNNNNCACGTGN_CAP_repr3.390.0519MAX; TFAP2C (directAnnotation). Malignant cells
motiftransfac_pro__M006523.280.0511NRF1 (directAnnotation). Malignant cells
motifkznf__ZFP57_Imbeault2017_OM_MEME3.220.0507ZFP57 (directAnnotation). Malignant cells
motiftransfac_pro__M012983.130.0501MECP2 (directAnnotation). Malignant cells
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Motifs and TFs regulating down-regulated DEGs in resistant group
motifmotifNESAUCTF_highConfCell_type
motifmetacluster_135.113.540.0694NR2C2 (directAnnotation). Malignant cells
motifmetacluster_135.103.540.0694MBD2; MBD2; MECP2; MECP2 (directAnnotation). Malignant cells
motiftfdimers__MD000383.390.0678TFAP2C (directAnnotation). Malignant cells
motifmetacluster_144.33.360.0675ZNF704; ZNF704 (directAnnotation). Malignant cells
motifmetacluster_7.133.340.0672ZFX (directAnnotation). Malignant cells
motifkznf__ZNF730_Imbeault2017_RP_RCADE3.240.0662ZNF730 (directAnnotation). Malignant cells
motifcisbp__M009683.230.066MTF2 (directAnnotation). Malignant cells
motifmetacluster_155.233.210.0658BCL11B; ZNF711; ZNF711 (directAnnotation). ZFY (inferredBy_Orthology). Malignant cells
motifmetacluster_160.203.210.0658JUND; PRDM15 (directAnnotation). Malignant cells
motifcisbp__M003413.20.0657PAX6 (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

ZNF704

metacluster_144.3upMalignant cellsNA

JUND

metacluster_160.20upMalignant cellsNA

TRIM28

transfac_pro__M01199upMalignant cellsNA

THAP1

metacluster_141.5downMalignant cellsNA

SP1

transfac_pro__M01219downMalignant cellsNA

E2F6

metacluster_55.3downMalignant cellsNA

EGR1

metacluster_55.3downMalignant cellsNA

CEBPD

taipale_tf_pairs__ETV5_CEBPD_NSCGGANNTTRCGYAAN_CAPdownMalignant cellsNA

GMEB1

dbtfbs__GMEB1_K562_ENCSR928KOR_merged_N1downMalignant cellsNA

MAX

taipale_tf_pairs__TFAP2C_MAX_TNSCCNNNGGSNNNNCACGTGN_CAP_reprdownMalignant 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."