Cargando…
Proteomics in asthma: the clinicians were right after all, were not they?
Clinical disease phenotypes with underlying information of molecular and biological signatures for the same, is a prerequisite for improving medical care and developing more effective, stratified management strategies. This commentary reviews the research carried out by Cao et al. to unravel biologi...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660008/ https://www.ncbi.nlm.nih.gov/pubmed/29080192 http://dx.doi.org/10.1186/s40169-017-0170-5 |
_version_ | 1783274218217013248 |
---|---|
author | Sinha, Anirban Sterk, Peter J. |
author_facet | Sinha, Anirban Sterk, Peter J. |
author_sort | Sinha, Anirban |
collection | PubMed |
description | Clinical disease phenotypes with underlying information of molecular and biological signatures for the same, is a prerequisite for improving medical care and developing more effective, stratified management strategies. This commentary reviews the research carried out by Cao et al. to unravel biological networks associated with different clinical categories of asthma. It finally comments on the utility of using data from multiple platforms aided by integrated systems approaches to effectively find out the obvious underlying physiological disease signatures related to clinical disease sub-types. |
format | Online Article Text |
id | pubmed-5660008 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-56600082017-11-07 Proteomics in asthma: the clinicians were right after all, were not they? Sinha, Anirban Sterk, Peter J. Clin Transl Med Commentary Clinical disease phenotypes with underlying information of molecular and biological signatures for the same, is a prerequisite for improving medical care and developing more effective, stratified management strategies. This commentary reviews the research carried out by Cao et al. to unravel biological networks associated with different clinical categories of asthma. It finally comments on the utility of using data from multiple platforms aided by integrated systems approaches to effectively find out the obvious underlying physiological disease signatures related to clinical disease sub-types. Springer Berlin Heidelberg 2017-10-27 /pmc/articles/PMC5660008/ /pubmed/29080192 http://dx.doi.org/10.1186/s40169-017-0170-5 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Commentary Sinha, Anirban Sterk, Peter J. Proteomics in asthma: the clinicians were right after all, were not they? |
title | Proteomics in asthma: the clinicians were right after all, were not they? |
title_full | Proteomics in asthma: the clinicians were right after all, were not they? |
title_fullStr | Proteomics in asthma: the clinicians were right after all, were not they? |
title_full_unstemmed | Proteomics in asthma: the clinicians were right after all, were not they? |
title_short | Proteomics in asthma: the clinicians were right after all, were not they? |
title_sort | proteomics in asthma: the clinicians were right after all, were not they? |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660008/ https://www.ncbi.nlm.nih.gov/pubmed/29080192 http://dx.doi.org/10.1186/s40169-017-0170-5 |
work_keys_str_mv | AT sinhaanirban proteomicsinasthmatheclinicianswererightafterallwerenotthey AT sterkpeterj proteomicsinasthmatheclinicianswererightafterallwerenotthey |