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Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues

The increasingly large amount of proteomics data in the public domain enables, among other applications, the combined analyses of datasets to create comparative protein expression maps covering different organisms and different biological conditions. Here we have reanalysed public proteomics dataset...

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Autores principales: Wang, Shengbo, García-Seisdedos, David, Prakash, Ananth, Kundu, Deepti Jaiswal, Collins, Andrew, George, Nancy, Fexova, Silvie, Moreno, Pablo, Papatheodorou, Irene, Jones, Andrew R., Vizcaíno, Juan Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246241/
https://www.ncbi.nlm.nih.gov/pubmed/35714157
http://dx.doi.org/10.1371/journal.pcbi.1010174
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author Wang, Shengbo
García-Seisdedos, David
Prakash, Ananth
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Fexova, Silvie
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
author_facet Wang, Shengbo
García-Seisdedos, David
Prakash, Ananth
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Fexova, Silvie
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
author_sort Wang, Shengbo
collection PubMed
description The increasingly large amount of proteomics data in the public domain enables, among other applications, the combined analyses of datasets to create comparative protein expression maps covering different organisms and different biological conditions. Here we have reanalysed public proteomics datasets from mouse and rat tissues (14 and 9 datasets, respectively), to assess baseline protein abundance. Overall, the aggregated dataset contained 23 individual datasets, including a total of 211 samples coming from 34 different tissues across 14 organs, comprising 9 mouse and 3 rat strains, respectively. In all cases, we studied the distribution of canonical proteins between the different organs. The number of canonical proteins per dataset ranged from 273 (tendon) and 9,715 (liver) in mouse, and from 101 (tendon) and 6,130 (kidney) in rat. Then, we studied how protein abundances compared across different datasets and organs for both species. As a key point we carried out a comparative analysis of protein expression between mouse, rat and human tissues. We observed a high level of correlation of protein expression among orthologs between all three species in brain, kidney, heart and liver samples, whereas the correlation of protein expression was generally slightly lower between organs within the same species. Protein expression results have been integrated into the resource Expression Atlas for widespread dissemination.
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spelling pubmed-92462412022-07-01 Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues Wang, Shengbo García-Seisdedos, David Prakash, Ananth Kundu, Deepti Jaiswal Collins, Andrew George, Nancy Fexova, Silvie Moreno, Pablo Papatheodorou, Irene Jones, Andrew R. Vizcaíno, Juan Antonio PLoS Comput Biol Research Article The increasingly large amount of proteomics data in the public domain enables, among other applications, the combined analyses of datasets to create comparative protein expression maps covering different organisms and different biological conditions. Here we have reanalysed public proteomics datasets from mouse and rat tissues (14 and 9 datasets, respectively), to assess baseline protein abundance. Overall, the aggregated dataset contained 23 individual datasets, including a total of 211 samples coming from 34 different tissues across 14 organs, comprising 9 mouse and 3 rat strains, respectively. In all cases, we studied the distribution of canonical proteins between the different organs. The number of canonical proteins per dataset ranged from 273 (tendon) and 9,715 (liver) in mouse, and from 101 (tendon) and 6,130 (kidney) in rat. Then, we studied how protein abundances compared across different datasets and organs for both species. As a key point we carried out a comparative analysis of protein expression between mouse, rat and human tissues. We observed a high level of correlation of protein expression among orthologs between all three species in brain, kidney, heart and liver samples, whereas the correlation of protein expression was generally slightly lower between organs within the same species. Protein expression results have been integrated into the resource Expression Atlas for widespread dissemination. Public Library of Science 2022-06-17 /pmc/articles/PMC9246241/ /pubmed/35714157 http://dx.doi.org/10.1371/journal.pcbi.1010174 Text en © 2022 Wang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Shengbo
García-Seisdedos, David
Prakash, Ananth
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Fexova, Silvie
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title_full Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title_fullStr Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title_full_unstemmed Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title_short Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
title_sort integrated view and comparative analysis of baseline protein expression in mouse and rat tissues
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9246241/
https://www.ncbi.nlm.nih.gov/pubmed/35714157
http://dx.doi.org/10.1371/journal.pcbi.1010174
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