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Integrated View of Baseline Protein Expression in Human Tissues

[Image: see text] The availability of proteomics datasets in the public domain, and in the PRIDE database, in particular, has increased dramatically in recent years. This unprecedented large-scale availability of data provides an opportunity for combined analyses of datasets to get organism-wide pro...

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Autores principales: Prakash, Ananth, García-Seisdedos, David, Wang, Shengbo, Kundu, Deepti Jaiswal, Collins, Andrew, George, Nancy, Moreno, Pablo, Papatheodorou, Irene, Jones, Andrew R., Vizcaíno, Juan Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990129/
https://www.ncbi.nlm.nih.gov/pubmed/36577097
http://dx.doi.org/10.1021/acs.jproteome.2c00406
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author Prakash, Ananth
García-Seisdedos, David
Wang, Shengbo
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
author_facet Prakash, Ananth
García-Seisdedos, David
Wang, Shengbo
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
author_sort Prakash, Ananth
collection PubMed
description [Image: see text] The availability of proteomics datasets in the public domain, and in the PRIDE database, in particular, has increased dramatically in recent years. This unprecedented large-scale availability of data provides an opportunity for combined analyses of datasets to get organism-wide protein abundance data in a consistent manner. We have reanalyzed 24 public proteomics datasets from healthy human individuals to assess baseline protein abundance in 31 organs. We defined tissue as a distinct functional or structural region within an organ. Overall, the aggregated dataset contains 67 healthy tissues, corresponding to 3,119 mass spectrometry runs covering 498 samples from 489 individuals. We compared protein abundances between different organs and studied the distribution of proteins across these organs. We also compared the results with data generated in analogous studies. Additionally, we performed gene ontology and pathway-enrichment analyses to identify organ-specific enriched biological processes and pathways. As a key point, we have integrated the protein abundance results into the resource Expression Atlas, where they can be accessed and visualized either individually or together with gene expression data coming from transcriptomics datasets. We believe this is a good mechanism to make proteomics data more accessible for life scientists.
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spelling pubmed-99901292023-03-08 Integrated View of Baseline Protein Expression in Human Tissues Prakash, Ananth García-Seisdedos, David Wang, Shengbo Kundu, Deepti Jaiswal Collins, Andrew George, Nancy Moreno, Pablo Papatheodorou, Irene Jones, Andrew R. Vizcaíno, Juan Antonio J Proteome Res [Image: see text] The availability of proteomics datasets in the public domain, and in the PRIDE database, in particular, has increased dramatically in recent years. This unprecedented large-scale availability of data provides an opportunity for combined analyses of datasets to get organism-wide protein abundance data in a consistent manner. We have reanalyzed 24 public proteomics datasets from healthy human individuals to assess baseline protein abundance in 31 organs. We defined tissue as a distinct functional or structural region within an organ. Overall, the aggregated dataset contains 67 healthy tissues, corresponding to 3,119 mass spectrometry runs covering 498 samples from 489 individuals. We compared protein abundances between different organs and studied the distribution of proteins across these organs. We also compared the results with data generated in analogous studies. Additionally, we performed gene ontology and pathway-enrichment analyses to identify organ-specific enriched biological processes and pathways. As a key point, we have integrated the protein abundance results into the resource Expression Atlas, where they can be accessed and visualized either individually or together with gene expression data coming from transcriptomics datasets. We believe this is a good mechanism to make proteomics data more accessible for life scientists. American Chemical Society 2022-12-28 /pmc/articles/PMC9990129/ /pubmed/36577097 http://dx.doi.org/10.1021/acs.jproteome.2c00406 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Prakash, Ananth
García-Seisdedos, David
Wang, Shengbo
Kundu, Deepti Jaiswal
Collins, Andrew
George, Nancy
Moreno, Pablo
Papatheodorou, Irene
Jones, Andrew R.
Vizcaíno, Juan Antonio
Integrated View of Baseline Protein Expression in Human Tissues
title Integrated View of Baseline Protein Expression in Human Tissues
title_full Integrated View of Baseline Protein Expression in Human Tissues
title_fullStr Integrated View of Baseline Protein Expression in Human Tissues
title_full_unstemmed Integrated View of Baseline Protein Expression in Human Tissues
title_short Integrated View of Baseline Protein Expression in Human Tissues
title_sort integrated view of baseline protein expression in human tissues
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9990129/
https://www.ncbi.nlm.nih.gov/pubmed/36577097
http://dx.doi.org/10.1021/acs.jproteome.2c00406
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