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Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions
BACKGROUND: Post-translational modification (PTM) of proteins is central to many cellular processes across all domains of life, but despite decades of study and a wealth of genomic and proteomic data the biological function of many PTMs remains unknown. This is especially true for prokaryotic PTM sy...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392934/ https://www.ncbi.nlm.nih.gov/pubmed/28412930 http://dx.doi.org/10.1186/s12864-017-3676-8 |
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author | Brown, Colin W. Sridhara, Viswanadham Boutz, Daniel R. Person, Maria D. Marcotte, Edward M. Barrick, Jeffrey E. Wilke, Claus O. |
author_facet | Brown, Colin W. Sridhara, Viswanadham Boutz, Daniel R. Person, Maria D. Marcotte, Edward M. Barrick, Jeffrey E. Wilke, Claus O. |
author_sort | Brown, Colin W. |
collection | PubMed |
description | BACKGROUND: Post-translational modification (PTM) of proteins is central to many cellular processes across all domains of life, but despite decades of study and a wealth of genomic and proteomic data the biological function of many PTMs remains unknown. This is especially true for prokaryotic PTM systems, many of which have only recently been recognized and studied in depth. It is increasingly apparent that a deep sampling of abundance across a wide range of environmental stresses, growth conditions, and PTM types, rather than simply cataloging targets for a handful of modifications, is critical to understanding the complex pathways that govern PTM deposition and downstream effects. RESULTS: We utilized a deeply-sampled dataset of MS/MS proteomic analysis covering 9 timepoints spanning the Escherichia coli growth cycle and an unbiased PTM search strategy to construct a temporal map of abundance for all PTMs within a 400 Da window of mass shifts. Using this map, we are able to identify novel targets and temporal patterns for N-terminal N α acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal N α acetylation and regulation of protein degradation in stationary phase, pointing to a previously unrecognized biological function for this poorly-understood PTM. CONCLUSIONS: Unbiased detection of PTM in MS/MS proteomics data facilitates the discovery of novel modification types and previously unobserved dynamic changes in modification across growth timepoints. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3676-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5392934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53929342017-04-20 Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions Brown, Colin W. Sridhara, Viswanadham Boutz, Daniel R. Person, Maria D. Marcotte, Edward M. Barrick, Jeffrey E. Wilke, Claus O. BMC Genomics Research Article BACKGROUND: Post-translational modification (PTM) of proteins is central to many cellular processes across all domains of life, but despite decades of study and a wealth of genomic and proteomic data the biological function of many PTMs remains unknown. This is especially true for prokaryotic PTM systems, many of which have only recently been recognized and studied in depth. It is increasingly apparent that a deep sampling of abundance across a wide range of environmental stresses, growth conditions, and PTM types, rather than simply cataloging targets for a handful of modifications, is critical to understanding the complex pathways that govern PTM deposition and downstream effects. RESULTS: We utilized a deeply-sampled dataset of MS/MS proteomic analysis covering 9 timepoints spanning the Escherichia coli growth cycle and an unbiased PTM search strategy to construct a temporal map of abundance for all PTMs within a 400 Da window of mass shifts. Using this map, we are able to identify novel targets and temporal patterns for N-terminal N α acetylation, C-terminal glutamylation, and asparagine deamidation. Furthermore, we identify a possible relationship between N-terminal N α acetylation and regulation of protein degradation in stationary phase, pointing to a previously unrecognized biological function for this poorly-understood PTM. CONCLUSIONS: Unbiased detection of PTM in MS/MS proteomics data facilitates the discovery of novel modification types and previously unobserved dynamic changes in modification across growth timepoints. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3676-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-17 /pmc/articles/PMC5392934/ /pubmed/28412930 http://dx.doi.org/10.1186/s12864-017-3676-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Brown, Colin W. Sridhara, Viswanadham Boutz, Daniel R. Person, Maria D. Marcotte, Edward M. Barrick, Jeffrey E. Wilke, Claus O. Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title | Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title_full | Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title_fullStr | Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title_full_unstemmed | Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title_short | Large-scale analysis of post-translational modifications in E. coli under glucose-limiting conditions |
title_sort | large-scale analysis of post-translational modifications in e. coli under glucose-limiting conditions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5392934/ https://www.ncbi.nlm.nih.gov/pubmed/28412930 http://dx.doi.org/10.1186/s12864-017-3676-8 |
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