Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Titz, Bjoern, Elamin, Ashraf, Martin, Florian, Schneider, Thomas, Dijon, Sophie, Ivanov, Nikolai V., Hoeng, Julia, Peitsch, Manuel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2014
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
_version_ 1782341684191821824
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
work_keys_str_mv AT titzbjoern proteomicsforsystemstoxicology
AT elaminashraf proteomicsforsystemstoxicology
AT martinflorian proteomicsforsystemstoxicology
AT schneiderthomas proteomicsforsystemstoxicology
AT dijonsophie proteomicsforsystemstoxicology
AT ivanovnikolaiv proteomicsforsystemstoxicology
AT hoengjulia proteomicsforsystemstoxicology
AT peitschmanuelc proteomicsforsystemstoxicology