Clinical proteomics and OMICS clues useful in translational medicine research

Proteome Science

Review

Elena López¹  Luis Madero²  Juan López-Pascual³  Martin Latterich⁴ 

[1] Centro de Investigación i + 12, Hospital 12 de Octubre, Av. De Córdoba s/n, 28040, Madrid, Spain;Hospital Infantil Universitario Niño Jesús, Av. Menéndez Pelayo 65, 28009, Madrid, Spain;Hospital Universitario 12 de Octubre, Av. De Córdoba s/n, 28040, Madrid, Spain;Proteogenomics Research Institute for Systems Medicine, 11107 Roselle Street, 92121-1206, San Diego, CA, USA;

关键词: Proteomic Technology;    Clinical Proteomics;    OMICS Strategy;    Homology Modelling Method;    Translational Medicine Research;   

DOI  :  10.1186/1477-5956-10-35

 received in 2011-09-30, accepted in 2012-05-04,  发布年份 2012

来源: Springer

【 摘 要 】

Since the advent of the new proteomics era more than a decade ago, large-scale studies of protein profiling have been used to identify distinctive molecular signatures in a wide array of biological systems, spanning areas of basic biological research, clinical diagnostics, and biomarker discovery directed toward therapeutic applications. Recent advances in protein separation and identification techniques have significantly improved proteomic approaches, leading to enhancement of the depth and breadth of proteome coverage.Proteomic signatures, specific for multiple diseases, including cancer and pre-invasive lesions, are emerging. This article combines, in a simple manner, relevant proteomic and OMICS clues used in the discovery and development of diagnostic and prognostic biomarkers that are applicable to all clinical fields, thus helping to improve applications of clinical proteomic strategies for translational medicine research.

【 授权许可】

Unknown   
© Lopez et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.