Peek a peak: a glance at statistics for quantitative label-free proteomics

被引：33

作者：

Podwojski, Katharina ^{[1
]}

Eisenacher, Martin ^{[1
]}

Kohl, Michael ^{[1
]}

Turewicz, Michael ^{[1
]}

Meyer, Helmut E. ^{[1
]}

Rahnenfuehrer, Joerg ^{[2
]}

Stephan, Christian ^{[1
]}

机构：

[1] Ruhr Univ Bochum, Med Proteom Ctr, Zentrum Klin Forsch XKF 1, D-44801 Bochum, Germany

[2] Tech Univ Dortmund, Fachgebiet Stat Methoden Genet & Chemometrie, Fak Stat, D-44221 Dortmund, Germany

来源：

EXPERT REVIEW OF PROTEOMICS | 2010年 / 7卷 / 02期

关键词：

identification; label-free; mass spectrometry; quantification; spectral counting; LC-MS DATA; MASS-SPECTROMETRY; LIQUID-CHROMATOGRAPHY; BIOMARKER DISCOVERY; PROTEIN EXPRESSION; TIME ALIGNMENT; FEATURE-EXTRACTION; ABSOLUTE PROTEIN; PEPTIDE; QUANTIFICATION;

D O I：

10.1586/EPR.09.107

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Today, label-free mass spectrometry methods are frequently used for quantification of proteins and peptides. There have been several proposals of measurable parameters that best reflect quantities, such as peak areas as well as spectral counts. This review provides a systematic overview of the proposed methods. Owing to the shotgun proteomics approach generally used today for label-free mass spectrometry, any quantitative measure in the first place is a measure of peptide quantity. There has been no systematic research on how to best infer protein quantity from its measured peptides' quantities. The way peptide identifications are assembled to protein lists may especially lead to significantly different results in protein quantification. A further focus of this review will thus be the assembly of measured peptide quantities to a protein quantity.

引用

页码：249 / 261

页数：13

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