Cargando…

Sample multiplexing for targeted pathway proteomics in aging mice

Pathway proteomics strategies measure protein expression changes in specific cellular processes that carry out related functions. Using targeted tandem mass tags-based sample multiplexing, hundreds of proteins can be quantified across 10 or more samples simultaneously. To facilitate these highly com...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Qing, Xiao, Haopeng, Jedrychowski, Mark P., Schweppe, Devin K., Navarrete-Perea, Jose, Knott, Jeffrey, Rogers, John, Chouchani, Edward T., Gygi, Steven P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211924/
https://www.ncbi.nlm.nih.gov/pubmed/32332170
http://dx.doi.org/10.1073/pnas.1919410117
_version_ 1783531539209912320
author Yu, Qing
Xiao, Haopeng
Jedrychowski, Mark P.
Schweppe, Devin K.
Navarrete-Perea, Jose
Knott, Jeffrey
Rogers, John
Chouchani, Edward T.
Gygi, Steven P.
author_facet Yu, Qing
Xiao, Haopeng
Jedrychowski, Mark P.
Schweppe, Devin K.
Navarrete-Perea, Jose
Knott, Jeffrey
Rogers, John
Chouchani, Edward T.
Gygi, Steven P.
author_sort Yu, Qing
collection PubMed
description Pathway proteomics strategies measure protein expression changes in specific cellular processes that carry out related functions. Using targeted tandem mass tags-based sample multiplexing, hundreds of proteins can be quantified across 10 or more samples simultaneously. To facilitate these highly complex experiments, we introduce a strategy that provides complete control over targeted sample multiplexing experiments, termed Tomahto, and present its implementation on the Orbitrap Tribrid mass spectrometer platform. Importantly, this software monitors via the external desktop computer to the data stream and inserts optimized MS2 and MS3 scans in real time based on an application programming interface with the mass spectrometer. Hundreds of proteins of interest from diverse biological samples can be targeted and accurately quantified in a sensitive and high-throughput fashion. It achieves sensitivity comparable to, if not better than, deep fractionation and requires minimal total sample input (∼10 µg). As a proof-of-principle experiment, we selected four pathways important in metabolism- and inflammation-related processes (260 proteins/520 peptides) and measured their abundance across 90 samples (nine tissues from five old and five young mice) to explore effects of aging. Tissue-specific aging is presented here and we highlight the role of inflammation- and metabolism-related processes in white adipose tissue. We validated our approach through comparison with a global proteome survey across the tissues, work that we also provide as a general resource for the community.
format Online
Article
Text
id pubmed-7211924
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher National Academy of Sciences
record_format MEDLINE/PubMed
spelling pubmed-72119242020-05-15 Sample multiplexing for targeted pathway proteomics in aging mice Yu, Qing Xiao, Haopeng Jedrychowski, Mark P. Schweppe, Devin K. Navarrete-Perea, Jose Knott, Jeffrey Rogers, John Chouchani, Edward T. Gygi, Steven P. Proc Natl Acad Sci U S A Physical Sciences Pathway proteomics strategies measure protein expression changes in specific cellular processes that carry out related functions. Using targeted tandem mass tags-based sample multiplexing, hundreds of proteins can be quantified across 10 or more samples simultaneously. To facilitate these highly complex experiments, we introduce a strategy that provides complete control over targeted sample multiplexing experiments, termed Tomahto, and present its implementation on the Orbitrap Tribrid mass spectrometer platform. Importantly, this software monitors via the external desktop computer to the data stream and inserts optimized MS2 and MS3 scans in real time based on an application programming interface with the mass spectrometer. Hundreds of proteins of interest from diverse biological samples can be targeted and accurately quantified in a sensitive and high-throughput fashion. It achieves sensitivity comparable to, if not better than, deep fractionation and requires minimal total sample input (∼10 µg). As a proof-of-principle experiment, we selected four pathways important in metabolism- and inflammation-related processes (260 proteins/520 peptides) and measured their abundance across 90 samples (nine tissues from five old and five young mice) to explore effects of aging. Tissue-specific aging is presented here and we highlight the role of inflammation- and metabolism-related processes in white adipose tissue. We validated our approach through comparison with a global proteome survey across the tissues, work that we also provide as a general resource for the community. National Academy of Sciences 2020-05-05 2020-04-24 /pmc/articles/PMC7211924/ /pubmed/32332170 http://dx.doi.org/10.1073/pnas.1919410117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Physical Sciences
Yu, Qing
Xiao, Haopeng
Jedrychowski, Mark P.
Schweppe, Devin K.
Navarrete-Perea, Jose
Knott, Jeffrey
Rogers, John
Chouchani, Edward T.
Gygi, Steven P.
Sample multiplexing for targeted pathway proteomics in aging mice
title Sample multiplexing for targeted pathway proteomics in aging mice
title_full Sample multiplexing for targeted pathway proteomics in aging mice
title_fullStr Sample multiplexing for targeted pathway proteomics in aging mice
title_full_unstemmed Sample multiplexing for targeted pathway proteomics in aging mice
title_short Sample multiplexing for targeted pathway proteomics in aging mice
title_sort sample multiplexing for targeted pathway proteomics in aging mice
topic Physical Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211924/
https://www.ncbi.nlm.nih.gov/pubmed/32332170
http://dx.doi.org/10.1073/pnas.1919410117
work_keys_str_mv AT yuqing samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT xiaohaopeng samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT jedrychowskimarkp samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT schweppedevink samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT navarretepereajose samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT knottjeffrey samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT rogersjohn samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT chouchaniedwardt samplemultiplexingfortargetedpathwayproteomicsinagingmice
AT gygistevenp samplemultiplexingfortargetedpathwayproteomicsinagingmice