4.7 Article

Use of stable isotope labeling by amino acids in cell culture as a spike-in standard in quantitative proteomics

期刊

NATURE PROTOCOLS
卷 6, 期 2, 页码 147-157

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/nprot.2010.192

关键词

-

资金

  1. Humboldt Foundation
  2. European Commission [HEALTH-F4-2008-021, HEALTH-F4-2008-648]
  3. Grants-in-Aid for Scientific Research [21310129] Funding Source: KAKEN

向作者/读者索取更多资源

Mass spectrometry (MS)-based proteomics is increasingly applied in a quantitative format, often based on labeling of samples with stable isotopes that are introduced chemically or metabolically. In the stable isotope labeling by amino acids in cell culture (SILAC) method, two cell populations are cultured in the presence of heavy or light amino acids (typically lysine and/or arginine), one of them is subjected to a perturbation, and then both are combined and processed together. In this study, we describe a different approach-the use of SILAC as an internal or 'spike-in' standard-wherein SILAC is only used to produce heavy labeled reference proteins or proteomes. These are added to the proteomes under investigation after cell lysis and before protein digestion. The actual experiment is therefore completely decoupled from the labeling procedure. Spike-in SILAC is very economical, robust and in principle applicable to all cell-or tissue-based proteomic analyses. Applications range from absolute quantification of single proteins to the quantification of whole proteomes. Spike-in SILAC is especially advantageous when analyzing the proteomes of whole tissues or organisms. The protocol describes the quantitative analysis of a tissue sample relative to super-SILAC spike-in, a mixture of five SILAC-labeled cell lines that accurately represents the tissue. It includes the selection and preparation of the spike-in SILAC standard, the sample preparation procedure, and analysis and evaluation of the results.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据