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The role of proteomics in depression research
Depression is a severe neuropsychiatric disorder affecting approximately 10% of the world population. Despite this, the molecular mechanisms underlying the disorder are still not understood. Novel technologies such as proteomic-based platforms are beginning to offer new insights into this devastatin...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940035/ https://www.ncbi.nlm.nih.gov/pubmed/19997739 http://dx.doi.org/10.1007/s00406-009-0093-2 |
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author | Martins-de-Souza, Daniel Harris, Laura W. Guest, Paul C. Turck, Christoph W. Bahn, Sabine |
author_facet | Martins-de-Souza, Daniel Harris, Laura W. Guest, Paul C. Turck, Christoph W. Bahn, Sabine |
author_sort | Martins-de-Souza, Daniel |
collection | PubMed |
description | Depression is a severe neuropsychiatric disorder affecting approximately 10% of the world population. Despite this, the molecular mechanisms underlying the disorder are still not understood. Novel technologies such as proteomic-based platforms are beginning to offer new insights into this devastating illness, beyond those provided by the standard targeted methodologies. Here, we will show the potential of proteome analyses as a tool to elucidate the pathophysiological mechanisms of depression as well as the discovery of potential diagnostic, therapeutic and disease course biomarkers. |
format | Text |
id | pubmed-2940035 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-29400352010-10-05 The role of proteomics in depression research Martins-de-Souza, Daniel Harris, Laura W. Guest, Paul C. Turck, Christoph W. Bahn, Sabine Eur Arch Psychiatry Clin Neurosci Original Paper Depression is a severe neuropsychiatric disorder affecting approximately 10% of the world population. Despite this, the molecular mechanisms underlying the disorder are still not understood. Novel technologies such as proteomic-based platforms are beginning to offer new insights into this devastating illness, beyond those provided by the standard targeted methodologies. Here, we will show the potential of proteome analyses as a tool to elucidate the pathophysiological mechanisms of depression as well as the discovery of potential diagnostic, therapeutic and disease course biomarkers. Springer-Verlag 2009-12-09 2010 /pmc/articles/PMC2940035/ /pubmed/19997739 http://dx.doi.org/10.1007/s00406-009-0093-2 Text en © The Author(s) 2009 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Paper Martins-de-Souza, Daniel Harris, Laura W. Guest, Paul C. Turck, Christoph W. Bahn, Sabine The role of proteomics in depression research |
title | The role of proteomics in depression research |
title_full | The role of proteomics in depression research |
title_fullStr | The role of proteomics in depression research |
title_full_unstemmed | The role of proteomics in depression research |
title_short | The role of proteomics in depression research |
title_sort | role of proteomics in depression research |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2940035/ https://www.ncbi.nlm.nih.gov/pubmed/19997739 http://dx.doi.org/10.1007/s00406-009-0093-2 |
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