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利用 BN PAGE/LC-MS/MS 和聚类方法解析烟草 BY-2 蛋白复合物。

Unraveling tobacco BY-2 protein complexes with BN PAGE/LC-MS/MS and clustering methods.

机构信息

Center for Proteomics (CFP), Groenenborgerlaan 171, B-2020 Antwerp, Belgium.

出版信息

J Proteomics. 2011 Aug 12;74(8):1201-17. doi: 10.1016/j.jprot.2011.03.023. Epub 2011 Apr 2.

Abstract

To understand physiological processes, insight into protein complexes is very important. Through a combination of blue native gel electrophoresis and LC-MS/MS, we were able to isolate protein complexes and identify their potential subunits from Nicotiana tabacum cv. Bright Yellow-2. For this purpose, a bioanalytical approach was used that works without a priori knowledge of the interacting proteins. Different clustering methods (e.g., k-means and hierarchical clustering) and a biclustering approach were evaluated according to their ability to group proteins by their migration profile and to correlate the proteins to a specific complex. The biclustering approach was identified as a very powerful tool for the exploration of protein complexes of whole cell lysates since it allows for the promiscuous nature of proteins. Furthermore, it searches for associations between proteins that co-occur frequently throughout the BN gel, which increases the confidence of the putative associations between co-migrating proteins. The statistical significance and biological relevance of the profile clusters were verified using functional gene ontology annotation. The proof of concept for identifying protein complexes by our BN PAGE/LC-MS/MS approach is provided through the analysis of known protein complexes. Both well characterized long-lived protein complexes as well as potential temporary sequential multi-enzyme complexes were characterized.

摘要

为了理解生理过程,深入了解蛋白质复合物非常重要。通过结合蓝色 native 凝胶电泳和 LC-MS/MS,我们能够从烟草品种 Bright Yellow-2 中分离蛋白质复合物并鉴定其潜在的亚基。为此,我们采用了一种无需先验知识的生物分析方法。不同的聚类方法(例如 k-均值聚类和层次聚类)和双聚类方法根据其通过迁移谱对蛋白质进行分组的能力以及将蛋白质与特定复合物相关联的能力进行了评估。双聚类方法被确定为探索整个细胞裂解物蛋白质复合物的非常强大的工具,因为它允许蛋白质的混杂性质。此外,它还搜索在 BN 凝胶中经常共同出现的蛋白质之间的关联,从而增加了共迁移蛋白质之间假定关联的可信度。使用功能基因本体论注释验证了谱聚类的统计显著性和生物学相关性。通过分析已知的蛋白质复合物,提供了通过我们的 BN PAGE/LC-MS/MS 方法识别蛋白质复合物的概念验证。对特征明确的长寿命蛋白质复合物以及潜在的临时顺序多酶复合物进行了鉴定。

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