Work

Emerging affinity-based techniques in proteomics

Year: 2009

Type: review

Abstract: Proteomes of interest, such as the human proteome, have such complexity that no single technique is adequate for the complete analysis of the constituents. Depending on the goal (e.g., identification of a novel protein vs measurement of the level of a known protein), the tools required can vary significantly. While existing methods provide valuable information, their limitations drive the development of complementary, innovative methods to achieve greater breadth of coverage, dynamic range or specificity of analysis. We will discuss affinity-based methods and their applications, focusing on their unique advantages. In addition, we will describe emerging methods with potential value to proteomics, as well as the challenges that remain for proteomic studies.

Source: Expert Review of Proteomics

DOI: 10.1586/epr.09.74

Authors: Shengnan Xie, Colby Moya, Betul Bilgin, Arul Jayaraman, S Patrick Walton

Institutions: Michigan State University, Texas A&M University

Language: English

Topic: Advanced Proteomics Techniques and Applications

Subfield: Spectroscopy

Field: Chemistry

Domain: Physical Sciences

Open Access status: green

Funders: National Cancer Institute, National Institute of General Medical Sciences, National Center for Research Resources

Awards: Development of a parallel, array-based transcription factor expression assay, Aptamer-based Proteomic Analysis for Cancer Signatures, Develop a Dynamic Model that Incoporates Text-mining to Reconstruct Networks