Research Article
Proteomics– Current Novelties and Future Directions
Sara ten Have*, Yasmeen Ahmad and Angus I Lamond
Wellcome Trust Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, Dow Street, Dundee, DD1 5 Scotland, UK
- *Corresponding Author:
- Dr. Sara ten Have
Wellcome Trust Centre for Gene Regulation and Expression College of Life Sciences
University of Dundee, Dow Street, Dundee
DD1 5EH, Scotland, UK
Tel: +44 1382386787
E-mail: s.m.tenhave@dundee.ac.uk
Received date: August 03, 2011; Accepted date: September 07, 2011; Published date: Augutst 05, 2011
Citation: Have ST, Ahmad Y, Lamond AI (2011) Proteomics- Current Novelties and Future Directions. J Anal Bioanal Tech S3:001. doi: 10.4172/2155-9872.S3-001
Copyright: © 2011 ten Have S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
Increasingly in the last decade, proteomics has become a widely used technique in the field of cell biology. This is due not only to improvements in technology and analytical procedures, but also because of the innovative and diverse ways in which the methodologies of protein and peptide analysis have been applied. This has resulted in the broadening of applications and potential uses for proteomics, including analyses of cellular substructures and mechanisms to imaging of protein distributions in cells and tissues. The growing scale and scope of modern proteomics projects has brought to the fore computing challenges involved in managing and mining the resulting very large and complex data sets. Modern proteomics is therefore inherently multidisciplinary, requiring the expertise of software engineers and statisticians as well as cell biologists, protein chemists and mass spectrometrists. This review article will describe some of the elegant, quirky, and novel applications of mass spectrometry based proteomics to medical research, diagnostics, quality control and drug discovery.