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植物细胞质子化蛋白质的定量、网络构建和功能。

Quantitation, networking, and function of protein phosphorylation in plant cell.

机构信息

Division of Life Science, The Hong Kong University of Science and Technology Hong Kong, China.

出版信息

Front Plant Sci. 2013 Jan 8;3:302. doi: 10.3389/fpls.2012.00302. eCollection 2012.

Abstract

Protein phosphorylation is one of the most important post-translational modifications (PTMs) as it participates in regulating various cellular processes and biological functions. It is therefore crucial to identify phosphorylated proteins to construct a phosphor-relay network, and eventually to understand the underlying molecular regulatory mechanism in response to both internal and external stimuli. The changes in phosphorylation status at these novel phosphosites can be accurately measured using a (15)N-stable isotopic labeling in Arabidopsis (SILIA) quantitative proteomic approach in a high-throughput manner. One of the unique characteristics of the SILIA quantitative phosphoproteomic approach is the preservation of native PTM status on protein during the entire peptide preparation procedure. Evolved from SILIA is another quantitative PTM proteomic approach, AQUIP (absolute quantitation of isoforms of post-translationally modified proteins), which was developed by combining the advantages of targeted proteomics with SILIA. Bioinformatics-based phosphorylation site prediction coupled with an MS-based in vitro kinase assay is an additional way to extend the capability of phosphosite identification from the total cellular protein. The combined use of SILIA and AQUIP provides a novel strategy for molecular systems biological study and for investigation of in vivo biological functions of these phosphoprotein isoforms and combinatorial codes of PTMs.

摘要

蛋白质磷酸化是最重要的翻译后修饰(PTMs)之一,因为它参与调节各种细胞过程和生物功能。因此,识别磷酸化蛋白对于构建磷酸化信号转导网络,最终理解对内外刺激的潜在分子调控机制至关重要。使用(15)N-稳定同位素标记的拟南芥(SILIA)高通量定量蛋白质组学方法,可以准确测量这些新磷酸化位点的磷酸化状态变化。SILIA 定量磷酸蛋白质组学方法的一个独特特征是在整个肽制备过程中保留蛋白质上的天然 PTM 状态。从 SILIA 发展而来的另一种定量 PTM 蛋白质组学方法是 AQUIP(翻译后修饰蛋白同工型的绝对定量),它通过结合靶向蛋白质组学与 SILIA 的优势而开发出来。基于生物信息学的磷酸化位点预测结合基于 MS 的体外激酶测定是从总细胞蛋白中扩展磷酸化位点鉴定能力的另一种方法。SILIA 和 AQUIP 的联合使用为分子系统生物学研究以及这些磷酸蛋白同工型和 PTM 组合密码的体内生物学功能的研究提供了一种新策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d66/3539650/db5e46ef0859/fpls-03-00302-g001.jpg

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