Back to Search Start Over

System-wide identification and prioritization of enzyme substrates by thermal analysis

Authors :
Sergey Rodin
Christian M. Beusch
Katja Näreoja
Herwig Schüler
Pierre Sabatier
Hassan Gharibi
Elias S.J. Arnér
Amir Ata Saei
Alexey Chernobrovkin
Massimiliano Gaetani
Zhaowei Meng
Ann-Gerd Thorsell
Ákos Végvári
Qing Cheng
Susanna L. Lundström
Roman A. Zubarev
Tobias Karlberg
Juan Astorga Wells
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021), Nature Communications
Publication Year :
2021
Publisher :
Uppsala universitet, Thoraxkirurgi, 2021.

Abstract

Despite the immense importance of enzyme–substrate reactions, there is a lack of general and unbiased tools for identifying and prioritizing substrate proteins that are modified by the enzyme on the structural level. Here we describe a high-throughput unbiased proteomics method called System-wide Identification and prioritization of Enzyme Substrates by Thermal Analysis (SIESTA). The approach assumes that the enzymatic post-translational modification of substrate proteins is likely to change their thermal stability. In our proof-of-concept studies, SIESTA successfully identifies several known and novel substrate candidates for selenoprotein thioredoxin reductase 1, protein kinase B (AKT1) and poly-(ADP-ribose) polymerase-10 systems. Wider application of SIESTA can enhance our understanding of the role of enzymes in homeostasis and disease, opening opportunities to investigate the effect of post-translational modifications on signal transduction and facilitate drug discovery.<br />The global identification of enzyme substrates is still challenging. Here, the authors develop a method based on proteome-wide thermal shift assays to discover enzyme substrates directly from cell lysates, identifying known and novel oxidoreductase, kinase and poly-(ADP-ribose) polymerase substrates.

Details

Language :
English
Database :
OpenAIRE
Journal :
Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021), Nature Communications
Accession number :
edsair.doi.dedup.....3fbc6c8284cbd513051e2785bbe3ed02