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Defining tissue proteomes by systematic literature review
Defining protein composition is a key step in understanding the function of both healthy and diseased biological systems. There is currently little consensus between existing published proteomes in tissues such as the aorta, cartilage and organs such as skin. Lack of agreement as to both the number...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765030/ https://www.ncbi.nlm.nih.gov/pubmed/29323144 http://dx.doi.org/10.1038/s41598-017-18699-8 |
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author | Hibbert, Sarah A. Ozols, Matiss Griffiths, Christopher E. M. Watson, Rachel E. B. Bell, Mike Sherratt, Michael J. |
author_facet | Hibbert, Sarah A. Ozols, Matiss Griffiths, Christopher E. M. Watson, Rachel E. B. Bell, Mike Sherratt, Michael J. |
author_sort | Hibbert, Sarah A. |
collection | PubMed |
description | Defining protein composition is a key step in understanding the function of both healthy and diseased biological systems. There is currently little consensus between existing published proteomes in tissues such as the aorta, cartilage and organs such as skin. Lack of agreement as to both the number and identity of proteins may be due to issues in protein extraction, sensitivity/specificity of detection and the use of disparate tissue/cell sources. Here, we developed a method combining bioinformatics and systematic review to screen >32M articles from the Web of Science for evidence of proteins in healthy human skin. The resulting Manchester Proteome (www.manchesterproteome.manchester.ac.uk) collates existing evidence which characterises 2,948 skin proteins, 437 unique to our database and 2011 evidenced by both mass spectrometry and immune-based techniques. This approach circumvents the limitations of individual proteomics studies and can be applied to other species, organs, cells or disease-states. Accurate tissue proteomes will aid development of engineered constructs and offer insight into disease treatments by highlighting differences in proteomic composition. |
format | Online Article Text |
id | pubmed-5765030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57650302018-01-17 Defining tissue proteomes by systematic literature review Hibbert, Sarah A. Ozols, Matiss Griffiths, Christopher E. M. Watson, Rachel E. B. Bell, Mike Sherratt, Michael J. Sci Rep Article Defining protein composition is a key step in understanding the function of both healthy and diseased biological systems. There is currently little consensus between existing published proteomes in tissues such as the aorta, cartilage and organs such as skin. Lack of agreement as to both the number and identity of proteins may be due to issues in protein extraction, sensitivity/specificity of detection and the use of disparate tissue/cell sources. Here, we developed a method combining bioinformatics and systematic review to screen >32M articles from the Web of Science for evidence of proteins in healthy human skin. The resulting Manchester Proteome (www.manchesterproteome.manchester.ac.uk) collates existing evidence which characterises 2,948 skin proteins, 437 unique to our database and 2011 evidenced by both mass spectrometry and immune-based techniques. This approach circumvents the limitations of individual proteomics studies and can be applied to other species, organs, cells or disease-states. Accurate tissue proteomes will aid development of engineered constructs and offer insight into disease treatments by highlighting differences in proteomic composition. Nature Publishing Group UK 2018-01-11 /pmc/articles/PMC5765030/ /pubmed/29323144 http://dx.doi.org/10.1038/s41598-017-18699-8 Text en © The Author(s) 2018 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/. |
spellingShingle | Article Hibbert, Sarah A. Ozols, Matiss Griffiths, Christopher E. M. Watson, Rachel E. B. Bell, Mike Sherratt, Michael J. Defining tissue proteomes by systematic literature review |
title | Defining tissue proteomes by systematic literature review |
title_full | Defining tissue proteomes by systematic literature review |
title_fullStr | Defining tissue proteomes by systematic literature review |
title_full_unstemmed | Defining tissue proteomes by systematic literature review |
title_short | Defining tissue proteomes by systematic literature review |
title_sort | defining tissue proteomes by systematic literature review |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5765030/ https://www.ncbi.nlm.nih.gov/pubmed/29323144 http://dx.doi.org/10.1038/s41598-017-18699-8 |
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