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 ResearchMeSH KeywordsChromatography, LiquidHumansMass SpectrometryNeural Networks, ComputerReproducibility of ResultsConceptsLC-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
2018
Development and Validation of LC–MS-MS Assay for the Determination of the Emerging Alkylating Agent Laromustine and Its Active Metabolite in Human Plasma
Nassar AF, Wisnewski AV, Wu T, Lam TT, King I. Development and Validation of LC–MS-MS Assay for the Determination of the Emerging Alkylating Agent Laromustine and Its Active Metabolite in Human Plasma. Journal Of Chromatographic Science 2018, 57: 195-203. PMID: 30395213, DOI: 10.1093/chromsci/bmy100.Peer-Reviewed Original ResearchIsoform-Level Interpretation of High-Throughput Proteomics Data Enabled by Deep Integration with RNA-seq
Carlyle B, Kitchen RR, Zhang J, Wilson R, Lam T, Rozowsky JS, Williams KR, Sestan N, Gerstein M, Nairn AC. Isoform-Level Interpretation of High-Throughput Proteomics Data Enabled by Deep Integration with RNA-seq. Journal Of Proteome Research 2018, 17: 3431-3444. PMID: 30125121, PMCID: PMC6392456, DOI: 10.1021/acs.jproteome.8b00310.Peer-Reviewed Original ResearchConceptsRNA-seqProteomic dataGene expressionLiquid chromatography-tandem mass spectrometry proteomicsTandem mass spectrometry proteomicsHigh-throughput proteomic dataTranscriptomic profiling methodsDistinct amino acid sequencesTranscript-level expressionAmino acid sequenceMass spectrometry proteomicsHEK293 cell culturesTranslatome dataMost genesProfound functional implicationsProtein isoformsAlternate isoformsGene productsAcid sequenceCellular controlBiosynthetic stateGeneration of peptidesCell typesFunctional relevanceFunctional implications
2015
YPED: An Integrated Bioinformatics Suite and Database for Mass Spectrometry-Based Proteomics Research
Colangelo CM, Shifman M, Cheung KH, Stone KL, Carriero NJ, Gulcicek EE, Lam TT, Wu T, Bjornson RD, Bruce C, Nairn AC, Rinehart J, Miller PL, Williams KR. YPED: An Integrated Bioinformatics Suite and Database for Mass Spectrometry-Based Proteomics Research. Genomics Proteomics & Bioinformatics 2015, 13: 25-35. PMID: 25712262, PMCID: PMC4411476, DOI: 10.1016/j.gpb.2014.11.002.Peer-Reviewed Original ResearchMeSH KeywordsChromatography, LiquidComputational BiologyDatabases, ProteinHumansPeptide FragmentsProteomeProteomicsTandem Mass SpectrometryConceptsMultiple reaction monitoringPeptides/proteinsYale Protein Expression DatabaseReaction monitoringProteomics researchMass spectrometry-based proteomics researchMS/MSMass spectrometryDatabase search resultsPeptide identificationSpectral librarySite localizationProteomics communityGroup of laboratoriesSpectrometryProtein Expression DatabaseMS
2005
Multicomponent Internal Recalibration of an LC−FTICR-MS Analysis Employing a Partially Characterized Complex Peptide Mixture: Systematic and Random Errors
Yanofsky CM, Bell AW, Lesimple S, Morales F, Lam TT, Blakney GT, Marshall AG, Carrillo B, Lekpor K, Boismenu D, Kearney RE. Multicomponent Internal Recalibration of an LC−FTICR-MS Analysis Employing a Partially Characterized Complex Peptide Mixture: Systematic and Random Errors. Analytical Chemistry 2005, 77: 7246-7254. PMID: 16285672, DOI: 10.1021/ac050640q.Peer-Reviewed Original Research