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29 - Protein profiling and proteomic databases

Published online by Cambridge University Press:  20 August 2009

Irina Gromova
Affiliation:
University of Aarhus, Aarhus C, Denmark
Andrew K. Trull
Affiliation:
Papworth Hospital, Cambridge
Lawrence M. Demers
Affiliation:
Pennsylvania State University
David W. Holt
Affiliation:
St George's Hospital Medical School, University of London
Atholl Johnston
Affiliation:
St. Bartholomew's Hospital and the Royal London School of Medicine and Dentistry
J. Michael Tredger
Affiliation:
Guy's, King's and St Thomas' School of Medicine
Christopher P. Price
Affiliation:
St Bartholomew's Hospital and Royal London School of Medicine & Dentistry
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Summary

Introduction

With the completion of the human genome sequencing project [1, 2], the next great challenge in the life sciences in this millennium will be in decoding of the genome information in terms of regulation and function. Gradually, the emphasis of the Human Genome Project is starting to shift towards functional genomics, an area of the post-genomic era that aims to identify and fuctionally characterize proteins, the main effectors of cellular function. Indeed, today we are experiencing a rapid explosion of technology for the high throughput expression analysis of genes and their products.

Proteomics is a key area of research within functional genomics. First derived by Wilkins and colleagues in 1996 [3], the term proteomics describes an emerging technology making use of a plethora of protein analysis techniques (high-resolution two-dimensional polyacrylamide gel electrophoresis [2D PAGE], mass spectrometry, bioinformatics, etc.) to resolve, quantitate and identify proteins as well as to reveal their interacting partners. This information, together with protein behavioural data generated in various cell types and tissues, has speeded up the establishment of comprehensive 2D PAGE databases that aim to link protein information with DNA sequencing and mapping data from genome projects [4–7; http:/biobase.dk/cgi-bin/celis]. 2D PAGE databases play an important role in the functional annotation of genes and, in particular, human proteomic databanks are expected to expedite drug discovery by pinpointing candidate drug targets on the basis of changes in the proteome expression profile of biopsies obtained from patients and controls [8].

Type
Chapter
Information
Biomarkers of Disease
An Evidence-Based Approach
, pp. 299 - 312
Publisher: Cambridge University Press
Print publication year: 2002

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