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Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics
Lysosomes are the main degradative organelles of cells and involved in a variety of processes including the recycling of macromolecules, storage of compounds, and metabolic signaling. Despite an increasing interest in the proteomic analysis of lysosomes, no systematic study of sample preparation pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044164/ https://www.ncbi.nlm.nih.gov/pubmed/32103020 http://dx.doi.org/10.1038/s41597-020-0399-5 |
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author | Ponnaiyan, Srigayatri Akter, Fatema Singh, Jasjot Winter, Dominic |
author_facet | Ponnaiyan, Srigayatri Akter, Fatema Singh, Jasjot Winter, Dominic |
author_sort | Ponnaiyan, Srigayatri |
collection | PubMed |
description | Lysosomes are the main degradative organelles of cells and involved in a variety of processes including the recycling of macromolecules, storage of compounds, and metabolic signaling. Despite an increasing interest in the proteomic analysis of lysosomes, no systematic study of sample preparation protocols for lysosome enriched fractions has been performed to date. In the current study, we used samples enriched for lysosomes by paramagnetic nanoparticles and systematically evaluated experimental parameters for the analysis of the lysosomal proteome. This includes different approaches for the concentration of lysosome-containing fractions; desalting of samples by solid phase extraction; fractionation of peptide samples; and different gradient lengths for LC-MS/MS analyses of unfractionated samples by data dependent and data independent acquisition. Furthermore, we evaluated four different digestion methods including filter aided sample preparation (FASP), in-gel digestion, and in-solution digestion using either RapiGest or urea. Using the combined data, we generated a benchmark lysosomal proteome data set for mouse embryonic fibroblasts as well as a spectral library for the analysis of lysosomes by data independent acquisition. |
format | Online Article Text |
id | pubmed-7044164 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70441642020-03-05 Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics Ponnaiyan, Srigayatri Akter, Fatema Singh, Jasjot Winter, Dominic Sci Data Data Descriptor Lysosomes are the main degradative organelles of cells and involved in a variety of processes including the recycling of macromolecules, storage of compounds, and metabolic signaling. Despite an increasing interest in the proteomic analysis of lysosomes, no systematic study of sample preparation protocols for lysosome enriched fractions has been performed to date. In the current study, we used samples enriched for lysosomes by paramagnetic nanoparticles and systematically evaluated experimental parameters for the analysis of the lysosomal proteome. This includes different approaches for the concentration of lysosome-containing fractions; desalting of samples by solid phase extraction; fractionation of peptide samples; and different gradient lengths for LC-MS/MS analyses of unfractionated samples by data dependent and data independent acquisition. Furthermore, we evaluated four different digestion methods including filter aided sample preparation (FASP), in-gel digestion, and in-solution digestion using either RapiGest or urea. Using the combined data, we generated a benchmark lysosomal proteome data set for mouse embryonic fibroblasts as well as a spectral library for the analysis of lysosomes by data independent acquisition. Nature Publishing Group UK 2020-02-26 /pmc/articles/PMC7044164/ /pubmed/32103020 http://dx.doi.org/10.1038/s41597-020-0399-5 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 Ponnaiyan, Srigayatri Akter, Fatema Singh, Jasjot Winter, Dominic Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title | Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title_full | Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title_fullStr | Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title_full_unstemmed | Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title_short | Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
title_sort | comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044164/ https://www.ncbi.nlm.nih.gov/pubmed/32103020 http://dx.doi.org/10.1038/s41597-020-0399-5 |
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