2020
An omic approach to congenital diaphragmatic hernia: a pilot study of genomic, microRNA, and metabolomic profiling
Piersigilli F, Syed M, Lam TT, Dotta A, Massoud M, Vernocchi P, Quagliariello A, Putignani L, Auriti C, Salvatori G, Bagolan P, Bhandari V. An omic approach to congenital diaphragmatic hernia: a pilot study of genomic, microRNA, and metabolomic profiling. Journal Of Perinatology 2020, 40: 952-961. PMID: 32080334, DOI: 10.1038/s41372-020-0623-3.Peer-Reviewed Original ResearchMeSH KeywordsGenomicsHernias, Diaphragmatic, CongenitalHumansInfant, NewbornLungMetabolomicsMicroRNAsPilot ProjectsConceptsCongenital diaphragmatic herniaCDH patientsTracheal aspiratesDiaphragmatic herniaAge-matched control patientsAge-matched controlsChromosomal microarray analysisControl patientsControl neonatesBlood samplesPatientsMiR expressionIncreased expressionPilot studyMiR-19bMiR-18MiR-20aMiR-16Genetic mutationsMetabolomic profilingHerniaMiR-17NeonatesMicroarray analysisMetabolic fingerprints
2019
Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics
Piersigilli F, Lam TT, Vernocchi P, Quagliariello A, Putignani L, Aghai ZH, Bhandari V. Identification of new biomarkers of bronchopulmonary dysplasia using metabolomics. Metabolomics 2019, 15: 20. PMID: 30830433, DOI: 10.1007/s11306-019-1482-9.Peer-Reviewed Original ResearchConceptsBronchopulmonary dysplasiaPreterm neonatesNew biomarkersNeonatal intensive care unitMost preterm infantsIntensive care unitNovel specific biomarkersTracheal aspirate samplesSub-group analysisGestational age differencesPreterm infantsCare unitAspirate samplesNeonatesSpecific biomarkersFirst weekC16-OHIsoleucine levelsSelect metabolitesBiomarkersDysplasiaPartial least squares discriminant analysisLeast squares discriminant analysisSquares discriminant analysisAge differences
2017
A multiregional proteomic survey of the postnatal human brain
Carlyle BC, Kitchen RR, Kanyo JE, Voss EZ, Pletikos M, Sousa AMM, Lam TT, Gerstein MB, Sestan N, Nairn AC. A multiregional proteomic survey of the postnatal human brain. Nature Neuroscience 2017, 20: 1787-1795. PMID: 29184206, PMCID: PMC5894337, DOI: 10.1038/s41593-017-0011-2.Peer-Reviewed Original ResearchConceptsProteomic surveyResident plasma membrane proteinsPostnatal human brainProtein dataPlasma membrane proteinsProtein abundance differencesQuantitative tandem mass spectrometryPost-translational eventsWhole transcriptome sequencingRNA expression dataMembrane proteinsFunctional variationExpression dataAbundance differencesBrain regionsTandem mass spectrometryHuman brainSimilar cortical regionsMass spectrometryEarly infancyRNACortical regionsSequencingProteinAbundance