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Proteomics for systems toxicology
Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment. Recently, a systems toxicology assessment framework has been proposed, which combines conventional toxicological assessment strategies with system...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4212285/ https://www.ncbi.nlm.nih.gov/pubmed/25379146 http://dx.doi.org/10.1016/j.csbj.2014.08.004 |
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author | Titz, Bjoern Elamin, Ashraf Martin, Florian Schneider, Thomas Dijon, Sophie Ivanov, Nikolai V. Hoeng, Julia Peitsch, Manuel C. |
author_facet | Titz, Bjoern Elamin, Ashraf Martin, Florian Schneider, Thomas Dijon, Sophie Ivanov, Nikolai V. Hoeng, Julia Peitsch, Manuel C. |
author_sort | Titz, Bjoern |
collection | PubMed |
description | Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment. Recently, a systems toxicology assessment framework has been proposed, which combines conventional toxicological assessment strategies with system-wide measurement methods and computational analysis approaches from the field of systems biology. Proteomic measurements are an integral component of this integrative strategy because protein alterations closely mirror biological effects, such as biological stress responses or global tissue alterations. Here, we provide an overview of the technical foundations and highlight select applications of proteomics for systems toxicology studies. With a focus on mass spectrometry-based proteomics, we summarize the experimental methods for quantitative proteomics and describe the computational approaches used to derive biological/mechanistic insights from these datasets. To illustrate how proteomics has been successfully employed to address mechanistic questions in toxicology, we summarized several case studies. Overall, we provide the technical and conceptual foundation for the integration of proteomic measurements in a more comprehensive systems toxicology assessment framework. We conclude that, owing to the critical importance of protein-level measurements and recent technological advances, proteomics will be an integral part of integrative systems toxicology approaches in the future. |
format | Online Article Text |
id | pubmed-4212285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-42122852014-11-06 Proteomics for systems toxicology Titz, Bjoern Elamin, Ashraf Martin, Florian Schneider, Thomas Dijon, Sophie Ivanov, Nikolai V. Hoeng, Julia Peitsch, Manuel C. Comput Struct Biotechnol J Review Current toxicology studies frequently lack measurements at molecular resolution to enable a more mechanism-based and predictive toxicological assessment. Recently, a systems toxicology assessment framework has been proposed, which combines conventional toxicological assessment strategies with system-wide measurement methods and computational analysis approaches from the field of systems biology. Proteomic measurements are an integral component of this integrative strategy because protein alterations closely mirror biological effects, such as biological stress responses or global tissue alterations. Here, we provide an overview of the technical foundations and highlight select applications of proteomics for systems toxicology studies. With a focus on mass spectrometry-based proteomics, we summarize the experimental methods for quantitative proteomics and describe the computational approaches used to derive biological/mechanistic insights from these datasets. To illustrate how proteomics has been successfully employed to address mechanistic questions in toxicology, we summarized several case studies. Overall, we provide the technical and conceptual foundation for the integration of proteomic measurements in a more comprehensive systems toxicology assessment framework. We conclude that, owing to the critical importance of protein-level measurements and recent technological advances, proteomics will be an integral part of integrative systems toxicology approaches in the future. Research Network of Computational and Structural Biotechnology 2014-08-27 /pmc/articles/PMC4212285/ /pubmed/25379146 http://dx.doi.org/10.1016/j.csbj.2014.08.004 Text en © 2014 Titz et al. Published by Elsevier B.V. on behalf of the Research Network of Computational and Structural Biotechnology. |
spellingShingle | Review Titz, Bjoern Elamin, Ashraf Martin, Florian Schneider, Thomas Dijon, Sophie Ivanov, Nikolai V. Hoeng, Julia Peitsch, Manuel C. Proteomics for systems toxicology |
title | Proteomics for systems toxicology |
title_full | Proteomics for systems toxicology |
title_fullStr | Proteomics for systems toxicology |
title_full_unstemmed | Proteomics for systems toxicology |
title_short | Proteomics for systems toxicology |
title_sort | proteomics for systems toxicology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4212285/ https://www.ncbi.nlm.nih.gov/pubmed/25379146 http://dx.doi.org/10.1016/j.csbj.2014.08.004 |
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