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

Autor: 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
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Proteomics
0301 basic medicine
Thioredoxin Reductase 1
Science
General Physics and Astronomy
Computational biology
Article
General Biochemistry
Genetics and Molecular Biology

Substrate Specificity
03 medical and health sciences
0302 clinical medicine
Oxidoreductase
Proto-Oncogene Proteins
Drug Discovery
Humans
SIESTA (computer program)
Polymerase
chemistry.chemical_classification
Multidisciplinary
Mass spectrometry
biology
Drug discovery
Carcinoma
Biochemistry and Molecular Biology
Proteins
Substrate (chemistry)
General Chemistry
HCT116 Cells
Enzymes
030104 developmental biology
Enzyme
chemistry
biology.protein
Selenoprotein
Poly(ADP-ribose) Polymerases
Protein Processing
Post-Translational

Proto-Oncogene Proteins c-akt
030217 neurology & neurosurgery
Biokemi och molekylärbiologi
Post-translational modifications
Zdroj: Nature Communications, Vol 12, Iss 1, Pp 1-13 (2021)
Nature Communications
Popis: 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.
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.
Databáze: OpenAIRE