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A panoramic view of proteomics and multiomics in precision health
Health is often qualitatively defined as a status free from disease and its quantitative definition requires finding the boundary separating health from pathological conditions. Since many complex diseases have a strong genetic component, substantial efforts have been made to sequence large-scale pe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365387/ https://www.ncbi.nlm.nih.gov/pubmed/34430814 http://dx.doi.org/10.1016/j.isci.2021.102925 |
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author | Zilocchi, Mara Wang, Cheng Babu, Mohan Li, Jingjing |
author_facet | Zilocchi, Mara Wang, Cheng Babu, Mohan Li, Jingjing |
author_sort | Zilocchi, Mara |
collection | PubMed |
description | Health is often qualitatively defined as a status free from disease and its quantitative definition requires finding the boundary separating health from pathological conditions. Since many complex diseases have a strong genetic component, substantial efforts have been made to sequence large-scale personal genomes; however, we are not yet able to effectively quantify health status from personal genomes. Since mutational impacts are ultimately manifested at the protein level, we envision that introducing a panoramic proteomic view of complex diseases will allow us to mechanistically understand the molecular etiologies of human diseases. In this perspective article, we will highlight key proteomic approaches to identify pathogenic mutations and map their convergent pathways underlying disease pathogenesis and the integration of omics data at multiple levels to define the borderline between health and disease. |
format | Online Article Text |
id | pubmed-8365387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83653872021-08-23 A panoramic view of proteomics and multiomics in precision health Zilocchi, Mara Wang, Cheng Babu, Mohan Li, Jingjing iScience Perspective Health is often qualitatively defined as a status free from disease and its quantitative definition requires finding the boundary separating health from pathological conditions. Since many complex diseases have a strong genetic component, substantial efforts have been made to sequence large-scale personal genomes; however, we are not yet able to effectively quantify health status from personal genomes. Since mutational impacts are ultimately manifested at the protein level, we envision that introducing a panoramic proteomic view of complex diseases will allow us to mechanistically understand the molecular etiologies of human diseases. In this perspective article, we will highlight key proteomic approaches to identify pathogenic mutations and map their convergent pathways underlying disease pathogenesis and the integration of omics data at multiple levels to define the borderline between health and disease. Elsevier 2021-07-30 /pmc/articles/PMC8365387/ /pubmed/34430814 http://dx.doi.org/10.1016/j.isci.2021.102925 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Perspective Zilocchi, Mara Wang, Cheng Babu, Mohan Li, Jingjing A panoramic view of proteomics and multiomics in precision health |
title | A panoramic view of proteomics and multiomics in precision health |
title_full | A panoramic view of proteomics and multiomics in precision health |
title_fullStr | A panoramic view of proteomics and multiomics in precision health |
title_full_unstemmed | A panoramic view of proteomics and multiomics in precision health |
title_short | A panoramic view of proteomics and multiomics in precision health |
title_sort | panoramic view of proteomics and multiomics in precision health |
topic | Perspective |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365387/ https://www.ncbi.nlm.nih.gov/pubmed/34430814 http://dx.doi.org/10.1016/j.isci.2021.102925 |
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