A systematic proximity ligation approach to studying protein‐substrate specificity identifies the substrate spectrum of the Ssh1 translocon

Author:

Cohen Nir1ORCID,Aviram Naama1ORCID,Schuldiner Maya1ORCID

Affiliation:

1. Department of Molecular Genetics Weizmann Institute of Science Rehovot Israel

Abstract

AbstractMany cellular functions are carried out by protein pairs or families, providing robustness alongside functional diversity. For such processes, it remains a challenge to map the degree of specificity versus promiscuity. Protein–protein interactions (PPIs) can be used to inform on these matters as they highlight cellular locals, regulation and, in cases where proteins affect other proteins ‐ substrate range. However, methods to systematically study transient PPIs are underutilized. In this study, we create a novel approach to systematically compare stable or transient PPIs between two yeast proteins. Our approach, Cel‐lctiv (CELlular biotin‐Ligation for Capturing Transient Interactions in vivo), uses high‐throughput pairwise proximity biotin ligation for comparing PPIs systematically and in vivo. As a proof of concept, we studied the homologous translocation pores Sec61 and Ssh1. We show how Cel‐lctiv can uncover the unique substrate range for each translocon allowing us to pinpoint a specificity determinator driving interaction preference. More generally, this demonstrates how Cel‐lctiv can provide direct information on substrate specificity even for highly homologous proteins.

Publisher

Springer Science and Business Media LLC

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Molecular Biology,General Neuroscience

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3