Wang, Shengbo, Garcia-Seisdedos, David R, Prakash, Ananth, Kundu, Deepti Jaiswal, Collins, Andrew 
ORCID: 0000-0003-0507-6912, George, Nancy, Fexova, Silvie, Moreno, Pablo, Papatheodorou, Irene, Jones, Andrew ORCID: 0000-0001-6118-9327 et al (show 1 more authors)
(2022)
Integrated view and comparative analysis of baseline protein expression in mouse and rat tissues.
PLOS COMPUTATIONAL BIOLOGY, 18 (6).
e1010174-.
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Brain, Animals, Mice, Rats, Proteins, Proteomics |
| Divisions: | Faculty of Health and Life Sciences Faculty of Health and Life Sciences > Institute of Systems, Molecular and Integrative Biology |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 17 Oct 2022 14:32 |
| Last Modified: | 18 Jan 2023 20:36 |
| DOI: | 10.1371/journal.pcbi.1010174 |
| Open Access URL: | https://doi.org/10.1371/journal.pcbi.1010174 |
| Related URLs: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3165546 |
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