2025
Network-based drug repurposing for psychiatric disorders using single-cell genomics
Gupta C, Kalafut N, Clarke D, Choi J, Arachchilage K, Khullar S, Xia Y, Zhou X, Dursun C, Gerstein M, Wang D. Network-based drug repurposing for psychiatric disorders using single-cell genomics. Cell Genomics 2025, 101003. PMID: 40972584, DOI: 10.1016/j.xgen.2025.101003.Peer-Reviewed Original ResearchRisk genesSingle-cell genomic dataGene regulatory networksSingle-cell genomicsCell-type levelQuantitative trait lociCo-regulated modulesNetwork-based drugGenomic dataTrait lociRegulatory networksTranscription factorsNeuropsychiatric disordersTranscriptional phenotypesMolecular mechanismsGenesCell typesTarget expressionBipolar disorderPsychiatric disordersEQTLGenomeDrug target expressionMedicinal resourcesDisorders
2023
Pan-cancer analysis of antibody-drug conjugate targets and putative predictors of treatment response
Bosi C, Bartha Á, Galbardi B, Notini G, Naldini M, Licata L, Viale G, Mariani M, Pistilli B, Ali H, André F, Piras M, Callari M, Barreca M, Locatelli A, Viganò L, Criscitiello C, Pusztai L, Curigliano G, Győrffy B, Dugo M, Bianchini G. Pan-cancer analysis of antibody-drug conjugate targets and putative predictors of treatment response. European Journal Of Cancer 2023, 195: 113379. PMID: 37913680, DOI: 10.1016/j.ejca.2023.113379.Peer-Reviewed Original ResearchConceptsGenotype-Tissue Expression (GTEx) databaseAntibody-drug conjugatesADC targetPan-cancer analysisCancer Genome AtlasExpression distributionGene expressionNew therapeutic opportunitiesTreatment responseExpression of determinantsPrimary tissuesGenome AtlasExpression levelsNormal tissuesPotential downstreamProtein expressionRelative expressionExpression databaseGenesTherapeutic opportunitiesExpressionTarget expressionMRNA levelsCancer typesInter-patient heterogeneity
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