Suppr超能文献

肽基质上的蛋白质相互作用筛选 (PrISMa)。

Protein Interaction Screen on a Peptide Matrix (PrISMa).

机构信息

Department of Infection and Immunity, Luxembourg Institute of Health, Strassen, Luxembourg.

Department of Life Sciences and Medicine, University of Luxembourg, Esch-sur-Alzette, Luxembourg.

出版信息

Methods Mol Biol. 2023;2690:269-280. doi: 10.1007/978-1-0716-3327-4_23.

Abstract

Protein-protein interactions (PPI) are essential to understanding the cellular function and key mechanisms necessary for life. Although understanding of the interactome and proteome has exploded due to high-throughput methods in the past decade, often limitations in technical methods result in a partial understanding of all PPI. Here we present a protocol dedicated to the Protein Interaction Screen on a peptide Matrix (PrISMa). PrISMa functions as a high-throughput screen unique to targeting weak and transient interactions often missed in other PPI methods. In addition, PrISMa also excels at the mapping of interactions across linear sequences of proteins that are commonly enriched in intrinsically disordered regions (IDRs) which cover 35-40% of the mammalian proteome. This protocol aims to expand the understanding of the targeted proteins by identifying transient interactors.

摘要

蛋白质-蛋白质相互作用 (PPI) 对于理解细胞功能和生命所必需的关键机制至关重要。尽管由于过去十年中的高通量方法,人们对蛋白质组和蛋白质组的理解有了爆炸式的增长,但技术方法的局限性往往导致对所有蛋白质-蛋白质相互作用的部分理解。在这里,我们介绍了一种专门用于肽矩阵上蛋白质相互作用筛选 (PrISMa) 的方案。PrISMa 作为一种高通量筛选方法,针对的是在其他蛋白质相互作用方法中经常错过的弱的和短暂的相互作用。此外,PrISMa 还擅长于对通常富含无序区域 (IDR) 的蛋白质线性序列上的相互作用进行映射,这些 IDR 覆盖了哺乳动物蛋白质组的 35-40%。本方案旨在通过鉴定瞬时相互作用体来扩展对靶蛋白的理解。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验