2024
Proteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ9-Tetrahydrocannabinol Inhalation
Lallai V, Lam T, Garcia-Milian R, Chen Y, Fowler J, Manca L, Piomelli D, Williams K, Nairn A, Fowler C. Proteomic Profile of Circulating Extracellular Vesicles in the Brain after Δ9-Tetrahydrocannabinol Inhalation. Biomolecules 2024, 14: 1143. PMID: 39334909, PMCID: PMC11430348, DOI: 10.3390/biom14091143.Peer-Reviewed Original ResearchConceptsImmediate early gene c-fosChronic THC exposureEarly gene c-fosCannabinoid 1 receptorGene c-fosSex-specific mannerTHC exposurePsychoactive componentExtracellular vesiclesCentral signaling mechanismDrug effectsTHCChoroid plexus epithelial cellsFemale ratsC-fosPlexus epithelial cellsBrainCannabisRelease of EVsRegulate intercellular communicationCerebrospinal fluidEpithelial cellsIntercellular signaling mediatorsEV signalingIntercellular communication
2023
Peripheral signature of altered synaptic integrity in young onset cannabis use disorder: A proteomic study of circulating extracellular vesicles
Ganesh S, Lam T, Garcia-Milian R, D'Souza D, Nairn A, Elgert K, Eitan E, Ranganathan M. Peripheral signature of altered synaptic integrity in young onset cannabis use disorder: A proteomic study of circulating extracellular vesicles. The World Journal Of Biological Psychiatry 2023, 24: 603-613. PMID: 36994633, PMCID: PMC10471733, DOI: 10.1080/15622975.2023.2197039.Peer-Reviewed Original ResearchConceptsNeuron-derived extracellular vesiclesLabel-free quantification mass spectrometryProteomic studiesCannabis use disorderExtracellular vesiclesMass spectrometry proteomic analysisDifferential proteomic profilesAdapter proteinProteomic analysisPost-synaptic densityPeripheral signatureMolecular basisProteomic profilesProteinMarkers of neuropathologyBrain tissue samplesSynaptic pathologyVesiclesSynaptic integrityImmunoaffinity methodUse disordersFunctional integrityImportant insightsNeuropathologyPilot studyUncovering biology by single-cell proteomics
Mansuri M, Williams K, Nairn A. Uncovering biology by single-cell proteomics. Communications Biology 2023, 6: 381. PMID: 37031277, PMCID: PMC10082756, DOI: 10.1038/s42003-023-04635-2.Peer-Reviewed Original Research
2018
Isoform-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 implicationsMaking brain proteomics true to type
Wilson RS, Nairn AC. Making brain proteomics true to type. Nature Biotechnology 2018, 36: 149-150. PMID: 29406511, DOI: 10.1038/nbt.4077.Peer-Reviewed Original Research
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
2014
Decoding neuroproteomics: integrating the genome, translatome and functional anatomy
Kitchen RR, Rozowsky JS, Gerstein MB, Nairn AC. Decoding neuroproteomics: integrating the genome, translatome and functional anatomy. Nature Neuroscience 2014, 17: 1491-1499. PMID: 25349915, PMCID: PMC4737617, DOI: 10.1038/nn.3829.Peer-Reviewed Original Research
2013
Recent advances in quantitative neuroproteomics
Craft GE, Chen A, Nairn AC. Recent advances in quantitative neuroproteomics. Methods 2013, 61: 186-218. PMID: 23623823, PMCID: PMC3891841, DOI: 10.1016/j.ymeth.2013.04.008.Peer-Reviewed Original Research