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Protein-protein interaction networks: probing disease mechanisms using model systems

Protein-protein interactions (PPIs) and multi-protein complexes perform central roles in the cellular systems of all living organisms. In humans, disruptions of the normal patterns of PPIs and protein complexes can be causative or indicative of a disease state. Recent developments in the biological...

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Detalles Bibliográficos
Autores principales: Kuzmanov, Uros, Emili, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706760/
https://www.ncbi.nlm.nih.gov/pubmed/23635424
http://dx.doi.org/10.1186/gm441
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author Kuzmanov, Uros
Emili, Andrew
author_facet Kuzmanov, Uros
Emili, Andrew
author_sort Kuzmanov, Uros
collection PubMed
description Protein-protein interactions (PPIs) and multi-protein complexes perform central roles in the cellular systems of all living organisms. In humans, disruptions of the normal patterns of PPIs and protein complexes can be causative or indicative of a disease state. Recent developments in the biological applications of mass spectrometry (MS)-based proteomics have expanded the horizon for the application of systematic large-scale mapping of physical interactions to probe disease mechanisms. In this review, we examine the application of MS-based approaches for the experimental analysis of PPI networks and protein complexes, focusing on the different model systems (including human cells) used to study the molecular basis of common diseases such as cancer, cardiomyopathies, diabetes, microbial infections, and genetic and neurodegenerative disorders.
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spelling pubmed-37067602014-04-30 Protein-protein interaction networks: probing disease mechanisms using model systems Kuzmanov, Uros Emili, Andrew Genome Med Review Protein-protein interactions (PPIs) and multi-protein complexes perform central roles in the cellular systems of all living organisms. In humans, disruptions of the normal patterns of PPIs and protein complexes can be causative or indicative of a disease state. Recent developments in the biological applications of mass spectrometry (MS)-based proteomics have expanded the horizon for the application of systematic large-scale mapping of physical interactions to probe disease mechanisms. In this review, we examine the application of MS-based approaches for the experimental analysis of PPI networks and protein complexes, focusing on the different model systems (including human cells) used to study the molecular basis of common diseases such as cancer, cardiomyopathies, diabetes, microbial infections, and genetic and neurodegenerative disorders. BioMed Central 2013-04-30 /pmc/articles/PMC3706760/ /pubmed/23635424 http://dx.doi.org/10.1186/gm441 Text en Copyright © 2013 BioMed Central Ltd
spellingShingle Review
Kuzmanov, Uros
Emili, Andrew
Protein-protein interaction networks: probing disease mechanisms using model systems
title Protein-protein interaction networks: probing disease mechanisms using model systems
title_full Protein-protein interaction networks: probing disease mechanisms using model systems
title_fullStr Protein-protein interaction networks: probing disease mechanisms using model systems
title_full_unstemmed Protein-protein interaction networks: probing disease mechanisms using model systems
title_short Protein-protein interaction networks: probing disease mechanisms using model systems
title_sort protein-protein interaction networks: probing disease mechanisms using model systems
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3706760/
https://www.ncbi.nlm.nih.gov/pubmed/23635424
http://dx.doi.org/10.1186/gm441
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