Cargando…

Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease

Patients with Alzheimer’s disease (AD) and Parkinson’s disease (PD) often have overlap in clinical presentation and brain neuropathology suggesting that these two diseases share common underlying mechanisms. Currently, the molecular pathways linking AD and PD are incompletely understood. Utilizing T...

Descripción completa

Detalles Bibliográficos
Autores principales: Ping, Lingyan, Duong, Duc M., Yin, Luming, Gearing, Marla, Lah, James J., Levey, Allan I., Seyfried, Nicholas T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5848788/
https://www.ncbi.nlm.nih.gov/pubmed/29533394
http://dx.doi.org/10.1038/sdata.2018.36
_version_ 1783305939825197056
author Ping, Lingyan
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
author_facet Ping, Lingyan
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
author_sort Ping, Lingyan
collection PubMed
description Patients with Alzheimer’s disease (AD) and Parkinson’s disease (PD) often have overlap in clinical presentation and brain neuropathology suggesting that these two diseases share common underlying mechanisms. Currently, the molecular pathways linking AD and PD are incompletely understood. Utilizing Tandem Mass Tag (TMT) isobaric labeling and synchronous precursor selection-based MS3 (SPS-MS3) mass spectrometry, we performed an unbiased quantitative proteomic analysis of post-mortem human brain tissues (n=80) from four different groups defined as controls, AD, PD, and co-morbid AD/PD cases across two brain regions (frontal cortex and anterior cingulate gyrus). In total, we identified 11 840 protein groups representing 10 230 gene symbols, which map to ~65% of the protein coding genes in brain. The utility of including two reference standards in each TMT 10-plex assay to assess intra- and inter-batch variance is also described. Ultimately, this comprehensive human brain proteomic dataset serves as a valuable resource for various research endeavors including, but not limited to, the identification of disease-specific protein signatures and molecular pathways that are common in AD and PD.
format Online
Article
Text
id pubmed-5848788
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-58487882018-03-24 Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease Ping, Lingyan Duong, Duc M. Yin, Luming Gearing, Marla Lah, James J. Levey, Allan I. Seyfried, Nicholas T. Sci Data Data Descriptor Patients with Alzheimer’s disease (AD) and Parkinson’s disease (PD) often have overlap in clinical presentation and brain neuropathology suggesting that these two diseases share common underlying mechanisms. Currently, the molecular pathways linking AD and PD are incompletely understood. Utilizing Tandem Mass Tag (TMT) isobaric labeling and synchronous precursor selection-based MS3 (SPS-MS3) mass spectrometry, we performed an unbiased quantitative proteomic analysis of post-mortem human brain tissues (n=80) from four different groups defined as controls, AD, PD, and co-morbid AD/PD cases across two brain regions (frontal cortex and anterior cingulate gyrus). In total, we identified 11 840 protein groups representing 10 230 gene symbols, which map to ~65% of the protein coding genes in brain. The utility of including two reference standards in each TMT 10-plex assay to assess intra- and inter-batch variance is also described. Ultimately, this comprehensive human brain proteomic dataset serves as a valuable resource for various research endeavors including, but not limited to, the identification of disease-specific protein signatures and molecular pathways that are common in AD and PD. Nature Publishing Group 2018-03-13 /pmc/articles/PMC5848788/ /pubmed/29533394 http://dx.doi.org/10.1038/sdata.2018.36 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Ping, Lingyan
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title_full Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title_fullStr Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title_full_unstemmed Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title_short Global quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
title_sort global quantitative analysis of the human brain proteome in alzheimer’s and parkinson’s disease
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5848788/
https://www.ncbi.nlm.nih.gov/pubmed/29533394
http://dx.doi.org/10.1038/sdata.2018.36
work_keys_str_mv AT pinglingyan globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT duongducm globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT yinluming globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT gearingmarla globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT lahjamesj globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT leveyallani globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease
AT seyfriednicholast globalquantitativeanalysisofthehumanbrainproteomeinalzheimersandparkinsonsdisease