Featured Publications
Sex differences in brain gene expression among suicide completers
Cabrera-Mendoza B, Fresno C, Monroy-Jaramillo N, Fries GR, Walss-Bass C, Glahn DC, Ostrosky-Wegman P, Mendoza-Morales RC, García-Dolores F, Díaz-Otañez CE, González-Sáenz EE, Genis-Mendoza AD, Martínez-Magaña JJ, Romero-Pimentel AL, Flores G, Vázquez-Roque RA, Nicolini H. Sex differences in brain gene expression among suicide completers. Journal Of Affective Disorders 2020, 267: 67-77. PMID: 32063575, DOI: 10.1016/j.jad.2020.01.167.Peer-Reviewed Original ResearchMeSH KeywordsBrainFemaleGene Expression ProfilingHumansMalePrefrontal CortexSex CharacteristicsTranscriptomeConceptsBrain gene expressionSex-specific gene expression patternsGene expressionRibonucleic protein complexesGene expression patternsGene expression profilesProtein complexesGene setsDNA bindingExpression patternsExpression profilesGenesSuicide geneBiological levelsVesicular functionCell proliferationValuable foundationDifferentiallyMicroarrayExpressionSex-specific factorsSuicide completersSuicidal brainImmune responseSex differencesCandidate pharmacological treatments for substance use disorder and suicide identified by gene co‐expression network‐based drug repositioning
Cabrera‐Mendoza B, Martínez‐Magaña J, Monroy‐Jaramillo N, Genis‐Mendoza A, Fresno C, Fries GR, Walss‐Bass C, Armenta M, García‐Dolores F, Díaz‐Otañez C, Flores G, Vázquez‐Roque R, Nicolini H. Candidate pharmacological treatments for substance use disorder and suicide identified by gene co‐expression network‐based drug repositioning. American Journal Of Medical Genetics Part B Neuropsychiatric Genetics 2021, 186: 193-206. PMID: 33403748, DOI: 10.1002/ajmg.b.32830.Peer-Reviewed Original ResearchConceptsSubstance use disordersUse disordersBrain gene co-expression networksHub genesPotential pharmacological targetPost-mortem samplesPharmacological treatmentHigh riskCandidate treatmentPharmacological targetsSuicidal behaviorMAOA inhibitorsPrefrontal cortexNonsuicidesDGIdb databaseGene expression profilesPatientsCo-expression networkSuicideDisordersDrugsTreatmentDrug repositioningExpression profilesIndividuals
2021
The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression
Pathak GA, De Lillo A, Wendt FR, De Angelis F, Koller D, Mendoza B, Jacoby D, Miller EJ, Buxbaum JN, Polimanti R. The integration of genetically-regulated transcriptomics and electronic health records highlights a pattern of medical outcomes related to increased hepatic transthyretin expression. Amyloid 2021, 29: 110-119. PMID: 34935565, PMCID: PMC9213571, DOI: 10.1080/13506129.2021.2018678.Peer-Reviewed Original ResearchMeSH KeywordsAmyloid Neuropathies, FamilialElectronic Health RecordsFractures, BoneHumansPrealbuminTranscriptomeConceptsGenotype-Tissue Expression (GTEx) projectMulti-tissue analysisElectronic health recordsTTR amyloid formationGenetic regulationExpression projectRNA interferenceTranscriptomic profilesGene expressionExpression informationHepatic expressionHealth outcomesPhenotypic informationAmyloid formationHealth recordsCarpal tunnel syndromeTranscriptionTransthyretin expressionSystemic amyloidosesHepatic transcriptionPathological processesExpressionTunnel syndromeGastrointestinal diseasesSurgical procedures