Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.

Neuroproteomics is a powerful platform for targeted and hypothesis driven research, providing comprehensive insights into cellular and sub-cellular disease states, Gene × Environmental effects, and cellular response to medication effects in human, animal, and cell culture models. Analysis of sub-pro...

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Autores principales: Jane A English, Bruno Manadas, Caitriona Scaife, David R Cotter, Michael J Dunn
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/89b535d759174661b06fc41777606549
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spelling oai:doaj.org-article:89b535d759174661b06fc417776065492021-11-18T07:14:40ZPartitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.1932-620310.1371/journal.pone.0039509https://doaj.org/article/89b535d759174661b06fc417776065492012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22745773/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Neuroproteomics is a powerful platform for targeted and hypothesis driven research, providing comprehensive insights into cellular and sub-cellular disease states, Gene × Environmental effects, and cellular response to medication effects in human, animal, and cell culture models. Analysis of sub-proteomes is becoming increasingly important in clinical proteomics, enriching for otherwise undetectable proteins that are possible markers for disease. Membrane proteins are one such sub-proteome class that merit in-depth targeted analysis, particularly in psychiatric disorders. As membrane proteins are notoriously difficult to analyse using traditional proteomics methods, we evaluate a paradigm to enrich for and study membrane proteins from human post-mortem brain tissue. This is the first study to extensively characterise the integral trans-membrane spanning proteins present in human brain. Using Triton X-114 phase separation and LC-MS/MS analysis, we enriched for and identified 494 membrane proteins, with 194 trans-membrane helices present, ranging from 1 to 21 helices per protein. Isolated proteins included glutamate receptors, G proteins, voltage gated and calcium channels, synaptic proteins, and myelin proteins, all of which warrant quantitative proteomic investigation in psychiatric and neurological disorders. Overall, our sub-proteome analysis reduced sample complexity and enriched for integral membrane proteins by 2.3 fold, thus allowing for more manageable, reproducible, and targeted proteomics in case vs. control biomarker studies. This study provides a valuable reference for future neuroproteomic investigations of membrane proteins, and validates the use Triton X-114 detergent phase extraction on human post mortem brain.Jane A EnglishBruno ManadasCaitriona ScaifeDavid R CotterMichael J DunnPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e39509 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jane A English
Bruno Manadas
Caitriona Scaife
David R Cotter
Michael J Dunn
Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
description Neuroproteomics is a powerful platform for targeted and hypothesis driven research, providing comprehensive insights into cellular and sub-cellular disease states, Gene × Environmental effects, and cellular response to medication effects in human, animal, and cell culture models. Analysis of sub-proteomes is becoming increasingly important in clinical proteomics, enriching for otherwise undetectable proteins that are possible markers for disease. Membrane proteins are one such sub-proteome class that merit in-depth targeted analysis, particularly in psychiatric disorders. As membrane proteins are notoriously difficult to analyse using traditional proteomics methods, we evaluate a paradigm to enrich for and study membrane proteins from human post-mortem brain tissue. This is the first study to extensively characterise the integral trans-membrane spanning proteins present in human brain. Using Triton X-114 phase separation and LC-MS/MS analysis, we enriched for and identified 494 membrane proteins, with 194 trans-membrane helices present, ranging from 1 to 21 helices per protein. Isolated proteins included glutamate receptors, G proteins, voltage gated and calcium channels, synaptic proteins, and myelin proteins, all of which warrant quantitative proteomic investigation in psychiatric and neurological disorders. Overall, our sub-proteome analysis reduced sample complexity and enriched for integral membrane proteins by 2.3 fold, thus allowing for more manageable, reproducible, and targeted proteomics in case vs. control biomarker studies. This study provides a valuable reference for future neuroproteomic investigations of membrane proteins, and validates the use Triton X-114 detergent phase extraction on human post mortem brain.
format article
author Jane A English
Bruno Manadas
Caitriona Scaife
David R Cotter
Michael J Dunn
author_facet Jane A English
Bruno Manadas
Caitriona Scaife
David R Cotter
Michael J Dunn
author_sort Jane A English
title Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
title_short Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
title_full Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
title_fullStr Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
title_full_unstemmed Partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
title_sort partitioning the proteome: phase separation for targeted analysis of membrane proteins in human post-mortem brain.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/89b535d759174661b06fc41777606549
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