2024
BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks
Pelletier S, Leclercq M, Roux-Dalvai F, de Geus M, Leslie S, Wang W, Lam T, Nairn A, Arnold S, Carlyle B, Precioso F, Droit A. BERNN: Enhancing classification of Liquid Chromatography Mass Spectrometry data with batch effect removal neural networks. Nature Communications 2024, 15: 3777. PMID: 38710683, PMCID: PMC11074280, DOI: 10.1038/s41467-024-48177-5.Peer-Reviewed Original ResearchConceptsLC-MS experimentsLC-MSLiquid chromatography mass spectrometry dataComplex biological samplesMass spectrometry dataLiquid chromatography mass spectrometryChromatography mass spectrometryMass spectrometrySpectrometry dataEffective removalBiological samplesExperimental conditionsBatch effect removalSample processing protocolBatch effectsSpectrometryBatch effect correction methodsCorrecting batch effectsRemoval of batch effects
2020
Development of a robust and stable mass based spectrometry method for analysis of Alzheimer’s disease biomarkers in human cerebrospinal fluid
Leslie S, Wilson R, Trombetta B, Kivisäkk P, Arnold S, Nairn A, Carlyle B. Development of a robust and stable mass based spectrometry method for analysis of Alzheimer’s disease biomarkers in human cerebrospinal fluid. Alzheimer's & Dementia 2020, 16 DOI: 10.1002/alz.042035.Peer-Reviewed Original ResearchPutative proteinData-independent acquisition mass spectrometryAcquisition mass spectrometryData-independent acquisition (DIA) techniqueTechnical reproducibilityThousands of peptidesLow abundanceProtein analysisDisease biomarkersMass spectrometryProtein levelsProteinBiological conditionsProtein monitoring
2019
Development of Targeted Mass Spectrometry-Based Approaches for Quantitation of Proteins Enriched in the Postsynaptic Density (PSD)
Wilson RS, Rauniyar N, Sakaue F, Lam TT, Williams KR, Nairn AC. Development of Targeted Mass Spectrometry-Based Approaches for Quantitation of Proteins Enriched in the Postsynaptic Density (PSD). Proteomes 2019, 7: 12. PMID: 30986977, PMCID: PMC6630806, DOI: 10.3390/proteomes7020012.Peer-Reviewed Original ResearchParallel reaction monitoringPostsynaptic densityData-independent acquisition (DIA) approachElectron-dense regionsQuantitation of proteinsBiochemical fractionationMass spectrometry analysisMass spectrometry-based assayProtein abundanceExcitatory glutamatergic synapsesPSD compositionProtein compositionPSD proteinsInternal peptide standardsPSD fractionProteinTargeted Mass SpectrometrySpectrometry analysisGlutamatergic synapsesMass spectrometryPeptide standardsAbundanceNeuropsychiatric disordersCortical brain tissueWide variety
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