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Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects

Citation

Karpievitch, YV and Polpitiya, AD and Anderson, GA and Smith, RD and Dabney, AR, Liquid Chromatography Mass Spectrometry-Based Proteomics: Biological and Technological Aspects, The Annals of Applied Statistics, 4, (4) pp. 1797-1823. ISSN 1932-6157 (2010) [Refereed Article]


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Copyright Statement

Copyright 2012 Institute of Mathematical Statistics

DOI: doi:10.1214/10-AOAS341

Abstract

Mass spectrometry-based proteomics has become the tool of choice for identifying and quantifying the proteome of an organism. Though recent years have seen a tremendous improvement in instrument performance and the computational tools used, significant challenges remain, and there are many opportunities for statisticians to make important contributions. In the most widely used "bottom-up" approach to proteomics, complex mixtures of proteins are first subjected to enzymatic cleavage, the resulting peptide products are separated based on chemical or physical properties and analyzed using a mass spectrometer. The two fundamental challenges in the analysis of bottom-up MS-based proteomics are: (1) Identifying the proteins that are present in a sample, and (2) Quantifying the abundance levels of the identified proteins. Both of these challenges require knowledge of the biological and technological context that gives rise to observed data, as well as the application of sound statistical principles for estimation and inference. We present an overview of bottom-up proteomics and outline the key statistical issues that arise in protein identification and quantification.

Item Details

Item Type:Refereed Article
Research Division:Mathematical Sciences
Research Group:Statistics
Research Field:Biostatistics
Objective Division:Expanding Knowledge
Objective Group:Expanding Knowledge
Objective Field:Expanding Knowledge in the Mathematical Sciences
Author:Karpievitch, YV (Dr Yuliya Karpievitch)
ID Code:80881
Year Published:2010
Web of Science® Times Cited:15
Deposited By:Mathematics and Physics
Deposited On:2012-11-14
Last Modified:2015-01-27
Downloads:1 View Download Statistics

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