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Proteostasis networks in aging: novel insights from text-mining approaches
Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)re...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267007/ https://www.ncbi.nlm.nih.gov/pubmed/37004691 http://dx.doi.org/10.1007/s10522-023-10027-0 |
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author | Neves, Diogo Duarte-Pereira, Sara Matos, Sérgio Silva, Raquel M. |
author_facet | Neves, Diogo Duarte-Pereira, Sara Matos, Sérgio Silva, Raquel M. |
author_sort | Neves, Diogo |
collection | PubMed |
description | Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10522-023-10027-0. |
format | Online Article Text |
id | pubmed-10267007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-102670072023-06-15 Proteostasis networks in aging: novel insights from text-mining approaches Neves, Diogo Duarte-Pereira, Sara Matos, Sérgio Silva, Raquel M. Biogerontology Research Article Aging is a topic of paramount importance in an increasingly elderly society and has been the focus of extensive research. Protein homeostasis (proteostasis) decline is a hallmark in aging and several age-related diseases, but which specific proteins and mechanisms are involved in proteostasis (de)regulation during the aging process remain largely unknown. Here, we used different text-mining tools complemented with protein–protein interaction data to address this complex topic. Analysis of the integrated protein interaction networks identified novel proteins and pathways associated to proteostasis mechanisms and aging or age-related disorders, indicating that this approach is useful to identify previously unknown links and for retrieving information of potential novel biomarkers or therapeutic targets. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10522-023-10027-0. Springer Netherlands 2023-04-01 2023 /pmc/articles/PMC10267007/ /pubmed/37004691 http://dx.doi.org/10.1007/s10522-023-10027-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Neves, Diogo Duarte-Pereira, Sara Matos, Sérgio Silva, Raquel M. Proteostasis networks in aging: novel insights from text-mining approaches |
title | Proteostasis networks in aging: novel insights from text-mining approaches |
title_full | Proteostasis networks in aging: novel insights from text-mining approaches |
title_fullStr | Proteostasis networks in aging: novel insights from text-mining approaches |
title_full_unstemmed | Proteostasis networks in aging: novel insights from text-mining approaches |
title_short | Proteostasis networks in aging: novel insights from text-mining approaches |
title_sort | proteostasis networks in aging: novel insights from text-mining approaches |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10267007/ https://www.ncbi.nlm.nih.gov/pubmed/37004691 http://dx.doi.org/10.1007/s10522-023-10027-0 |
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