Pharmaceutical Sciences Faculty Publications

Document Type

Article

Publication Date

6-5-2009

Journal Title

Genome Medicine

ISSN

1756-994X

Volume

1

Issue

6

First Page

58

Last Page

58

DOI

10.1186/gm58

PubMed ID

19519954

PubMed Central® ID

PMC2703867

Abstract

With the increase in technological capabilities for measuring biological molecules, there is a greater trend to conduct non-biased, discovery-driven studies that collect information on hundreds of molecules in a single study. The hope is that novel findings can be detected within these large datasets. For protein analysis, these non-biased studies are particularly challenging as no technology is presently capable of providing a view of the entire proteome. The ability of non-biased studies to accurately detect specific differences within the proteomes of samples obtained from differentially treated individuals must be conclusively demonstrated before investigators will routinely adopt these methods as part of their experimental protocols. This need is especially true for clinical and epidemiological studies in which limited amounts of samples are available.

Keywords

Global, proteomic, estrogen, therapy, proteins

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