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科学家绘制拟南芥蛋白组草图
作者:小柯机器人 发布时间:2020/3/22 20:44:15

近日,德国慕尼黑工业大学Bernhard Kuster研究组绘制了基于质谱的拟南芥蛋白组草图。该项研究成果于2020年3月11日在线发表在《自然》杂志上。

研究人员报道了模式植物拟南芥中30个组织的转录组、蛋白质组和磷酸化蛋白质组的定量图谱。这些分析为蛋白质中存在多少个基因(超过18000个)、它们在何处表达、大约数量(超过六个数量级的动态范围)以及其被磷酸化的程度(超过43000个位点)提供了初步的答案。研究人员提供了如何使用数据的演示,例如发现从短开放阅读框架翻译的蛋白质,发现参与蛋白质生产调控的序列基序,以及识别组织特异性蛋白质复合物或磷酸化介导的信号事件。 ProteomicsDB和ATHENA数据库为植物学界提供了该资源的交互式访问,其中包括强大的生物信息学工具,可用于探索和鉴定拟南芥蛋白、它们的修饰和相互作用。
 
据悉,植物对于生活是必不可少的,并且是具有独特分子能力的多样性生物。
 
附:英文原文

Title: Mass-spectrometry-based draft of the Arabidopsis proteome

Author: Julia Mergner, Martin Frejno, Markus List, Michael Papacek, Xia Chen, Ajeet Chaudhary, Patroklos Samaras, Sandra Richter, Hiromasa Shikata, Maxim Messerer, Daniel Lang, Stefan Altmann, Philipp Cyprys, Daniel P. Zolg, Toby Mathieson, Marcus Bantscheff, Rashmi R. Hazarika, Tobias Schmidt, Corinna Dawid, Andreas Dunkel, Thomas Hofmann, Stefanie Sprunck, Pascal Falter-Braun, Frank Johannes, Klaus F. X. Mayer, Gerd Jrgens, Mathias Wilhelm, Jan Baumbach, Erwin Grill, Kay Schneitz, Claus Schwechheimer, Bernhard Kuster

Issue&Volume: 2020-03-11

Abstract: Plants are essential for life and are extremely diverse organisms with unique molecular capabilities1. Here we present a quantitative atlas of the transcriptomes, proteomes and phosphoproteomes of 30 tissues of the model plant Arabidopsis thaliana. Our analysis provides initial answers to how many genes exist as proteins (more than 18,000), where they are expressed, in which approximate quantities (a dynamic range of more than six orders of magnitude) and to what extent they are phosphorylated (over 43,000 sites). We present examples of how the data may be used, such as to discover proteins that are translated from short open-reading frames, to uncover sequence motifs that are involved in the regulation of protein production, and to identify tissue-specific protein complexes or phosphorylation-mediated signalling events. Interactive access to this resource for the plant community is provided by the ProteomicsDB and ATHENA databases, which include powerful bioinformatics tools to explore and characterize Arabidopsis proteins, their modifications and interactions.

DOI: 10.1038/s41586-020-2094-2

Source: https://www.nature.com/articles/s41586-020-2094-2

期刊信息

Nature:《自然》,创刊于1869年。隶属于施普林格·自然出版集团,最新IF:43.07
官方网址:http://www.nature.com/
投稿链接:http://www.nature.com/authors/submit_manuscript.html