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Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease

Alzheimer’s disease (AD) is characterized by an early, asymptomatic phase (AsymAD) in which individuals exhibit amyloid-beta (Aβ) plaque accumulation in the absence of clinically detectable cognitive decline. Here we report an unbiased multiplex quantitative proteomic and phosphoproteomic analysis u...

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Autores principales: Ping, Lingyan, Kundinger, Sean R., 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 UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522715/
https://www.ncbi.nlm.nih.gov/pubmed/32985496
http://dx.doi.org/10.1038/s41597-020-00650-8
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author Ping, Lingyan
Kundinger, Sean R.
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
author_facet Ping, Lingyan
Kundinger, Sean R.
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
author_sort Ping, Lingyan
collection PubMed
description Alzheimer’s disease (AD) is characterized by an early, asymptomatic phase (AsymAD) in which individuals exhibit amyloid-beta (Aβ) plaque accumulation in the absence of clinically detectable cognitive decline. Here we report an unbiased multiplex quantitative proteomic and phosphoproteomic analysis using tandem mass tag (TMT) isobaric labeling of human post-mortem cortex (n = 27) across pathology-free controls, AsymAD and symptomatic AD individuals. With off-line high-pH fractionation and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) on an Orbitrap Lumos mass spectrometer, we identified 11,378 protein groups across three TMT 11-plex batches. Immobilized metal affinity chromatography (IMAC) was used to enrich for phosphopeptides from the same TMT-labeled cases and 51,736 phosphopeptides were identified. Of these, 48,992 were quantified by TMT reporter ions representing 33,652 unique phosphosites. Two reference standards in each TMT 11-plex were included to assess intra- and inter-batch variance at the protein and peptide level. This comprehensive human brain proteome and phosphoproteome dataset will serve as a valuable resource for the identification of biochemical, cellular and signaling pathways altered during AD progression.
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spelling pubmed-75227152020-10-19 Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease Ping, Lingyan Kundinger, Sean R. Duong, Duc M. Yin, Luming Gearing, Marla Lah, James J. Levey, Allan I. Seyfried, Nicholas T. Sci Data Data Descriptor Alzheimer’s disease (AD) is characterized by an early, asymptomatic phase (AsymAD) in which individuals exhibit amyloid-beta (Aβ) plaque accumulation in the absence of clinically detectable cognitive decline. Here we report an unbiased multiplex quantitative proteomic and phosphoproteomic analysis using tandem mass tag (TMT) isobaric labeling of human post-mortem cortex (n = 27) across pathology-free controls, AsymAD and symptomatic AD individuals. With off-line high-pH fractionation and liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) on an Orbitrap Lumos mass spectrometer, we identified 11,378 protein groups across three TMT 11-plex batches. Immobilized metal affinity chromatography (IMAC) was used to enrich for phosphopeptides from the same TMT-labeled cases and 51,736 phosphopeptides were identified. Of these, 48,992 were quantified by TMT reporter ions representing 33,652 unique phosphosites. Two reference standards in each TMT 11-plex were included to assess intra- and inter-batch variance at the protein and peptide level. This comprehensive human brain proteome and phosphoproteome dataset will serve as a valuable resource for the identification of biochemical, cellular and signaling pathways altered during AD progression. Nature Publishing Group UK 2020-09-28 /pmc/articles/PMC7522715/ /pubmed/32985496 http://dx.doi.org/10.1038/s41597-020-00650-8 Text en © The Author(s) 2020 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 associated with this article.
spellingShingle Data Descriptor
Ping, Lingyan
Kundinger, Sean R.
Duong, Duc M.
Yin, Luming
Gearing, Marla
Lah, James J.
Levey, Allan I.
Seyfried, Nicholas T.
Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title_full Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title_fullStr Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title_full_unstemmed Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title_short Global quantitative analysis of the human brain proteome and phosphoproteome in Alzheimer’s disease
title_sort global quantitative analysis of the human brain proteome and phosphoproteome in alzheimer’s disease
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522715/
https://www.ncbi.nlm.nih.gov/pubmed/32985496
http://dx.doi.org/10.1038/s41597-020-00650-8
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