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Targeted Quantification of the Lysosomal Proteome in Complex Samples
In eukaryotic cells, lysosomes play a crucial role in the breakdown of a variety of components ranging from small molecules to complex structures, ascertaining the continuous turnover of cellular building blocks. Furthermore, they act as a regulatory hub for metabolism, being crucially involved in t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931001/ https://www.ncbi.nlm.nih.gov/pubmed/33530589 http://dx.doi.org/10.3390/proteomes9010004 |
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author | Mosen, Peter Sanner, Anne Singh, Jasjot Winter, Dominic |
author_facet | Mosen, Peter Sanner, Anne Singh, Jasjot Winter, Dominic |
author_sort | Mosen, Peter |
collection | PubMed |
description | In eukaryotic cells, lysosomes play a crucial role in the breakdown of a variety of components ranging from small molecules to complex structures, ascertaining the continuous turnover of cellular building blocks. Furthermore, they act as a regulatory hub for metabolism, being crucially involved in the regulation of major signaling pathways. Currently, ~450 lysosomal proteins can be reproducibly identified in a single cell line by mass spectrometry, most of which are low-abundant, restricting their unbiased proteomic analysis to lysosome-enriched fractions. In the current study, we applied two strategies for the targeted investigation of the lysosomal proteome in complex samples: data-independent acquisition (DIA) and parallel reaction monitoring (PRM). Using a lysosome-enriched fraction, mouse embryonic fibroblast whole cell lysate, and mouse liver whole tissue lysate, we investigated the capabilities of DIA and PRM to investigate the lysosomal proteome. While both approaches identified and quantified lysosomal proteins in all sample types, and their data largely correlated, DIA identified on average more proteins, especially for lower complex samples and longer chromatographic gradients. For the highly complex tissue sample and shorter gradients, however, PRM delivered a better performance regarding both identification and quantification of lysosomal proteins. All data are available via ProteomeXchange with identifier PXDD023278. |
format | Online Article Text |
id | pubmed-7931001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79310012021-03-05 Targeted Quantification of the Lysosomal Proteome in Complex Samples Mosen, Peter Sanner, Anne Singh, Jasjot Winter, Dominic Proteomes Article In eukaryotic cells, lysosomes play a crucial role in the breakdown of a variety of components ranging from small molecules to complex structures, ascertaining the continuous turnover of cellular building blocks. Furthermore, they act as a regulatory hub for metabolism, being crucially involved in the regulation of major signaling pathways. Currently, ~450 lysosomal proteins can be reproducibly identified in a single cell line by mass spectrometry, most of which are low-abundant, restricting their unbiased proteomic analysis to lysosome-enriched fractions. In the current study, we applied two strategies for the targeted investigation of the lysosomal proteome in complex samples: data-independent acquisition (DIA) and parallel reaction monitoring (PRM). Using a lysosome-enriched fraction, mouse embryonic fibroblast whole cell lysate, and mouse liver whole tissue lysate, we investigated the capabilities of DIA and PRM to investigate the lysosomal proteome. While both approaches identified and quantified lysosomal proteins in all sample types, and their data largely correlated, DIA identified on average more proteins, especially for lower complex samples and longer chromatographic gradients. For the highly complex tissue sample and shorter gradients, however, PRM delivered a better performance regarding both identification and quantification of lysosomal proteins. All data are available via ProteomeXchange with identifier PXDD023278. MDPI 2021-01-26 /pmc/articles/PMC7931001/ /pubmed/33530589 http://dx.doi.org/10.3390/proteomes9010004 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Mosen, Peter Sanner, Anne Singh, Jasjot Winter, Dominic Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title | Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title_full | Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title_fullStr | Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title_full_unstemmed | Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title_short | Targeted Quantification of the Lysosomal Proteome in Complex Samples |
title_sort | targeted quantification of the lysosomal proteome in complex samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7931001/ https://www.ncbi.nlm.nih.gov/pubmed/33530589 http://dx.doi.org/10.3390/proteomes9010004 |
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