Minireview: Progress and Challenges in Proteomics Data Management, Sharing, and Integration

Overview

Journal Mol Endocrinol

Specialties Endocrinology
Molecular Biology

Date 2012 Aug 21

PMID 22902541

Citations 5

Authors

Lauren B Becnel

Neil J McKenna

Affiliations

Soon will be listed here.

Abstract

The proteome represents the identity, expression levels, interacting partners, and posttranslational modifications of proteins expressed within any given cell. Proteomic studies aim to census the quantitative and qualitative factors regulating the biological relationships of proteins acting in concert as functional cellular networks. In the field of endocrinology, proteomics has been of considerable value in determining the function and mechanism of action of endocrine signaling molecules in the cell membrane, cytoplasm, and nucleus and for the discovery of proteins as candidates for clinical biomarkers. The volume of data that can be generated by proteomics methodologies, up to gigabytes of data within a few hours, brings with it its own logistical hurdles and presents significant challenges to realizing the full potential of these datasets. In this minireview, we describe selected current proteomics methodologies and their application in basic and translational endocrinology before focusing on mass spectrometry as a model for current progress and challenges in data analysis, management, sharing, and integration.

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