4.2 Article

Comparison of analytical methods for profiling N- and O-linked glycans from cultured cell lines

期刊

GLYCOCONJUGATE JOURNAL
卷 33, 期 3, 页码 405-415

出版社

SPRINGER
DOI: 10.1007/s10719-015-9625-3

关键词

Human proteome organization (HUPO); Human disease glycomics/proteome initiative (HGPI); Glycoproteomics

资金

  1. National Institutes of Health (NIH) [P41GM10349010]
  2. European Union [PCIG09-GA-2011-293847]
  3. Australian Research Council
  4. Swedish Research Council [342-2004-4434, 621-2013-5895]
  5. Grants-in-Aid for Scientific Research [26505008, 15K21708, 15H04700, 25102001, 25102008, 26110716, 15K07935] Funding Source: KAKEN

向作者/读者索取更多资源

The Human Disease Glycomics/Proteome Initiative (HGPI) is an activity in the Human Proteome Organization (HUPO) supported by leading researchers from international institutes and aims at development of disease-related glycomics/glycoproteomics analysis techniques. Since 2004, the initiative has conducted three pilot studies. The first two were N- and O-glycan analyses of purified transferrin and immunoglobulin-G and assessed the most appropriate analytical approach employed at the time. This paper describes the third study, which was conducted to compare different approaches for quantitation of N- and O-linked glycans attached to proteins in crude biological samples. The preliminary analysis on cell pellets resulted in wildly varied glycan profiles, which was probably the consequence of variations in the pre-processing sample preparation methodologies. However, the reproducibility of the data was not improved dramatically in the subsequent analysis on cell lysate fractions prepared in a specified method by one lab. The study demonstrated the difficulty of carrying out a complete analysis of the glycome in crude samples by any single technology and the importance of rigorous optimization of the course of analysis from preprocessing to data interpretation. It suggests that another collaborative study employing the latest technologies in this rapidly evolving field will help to realize the requirements of carrying out the large-scale analysis of glycoproteins in complex cell samples.

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

4.2
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