High resolution analysis of proteolytic substrate processing

Members of the widely conserved high temperature requirement A (HtrA) family of serine proteases are involved in multiple aspects of protein quality control. In this context, they have been shown to efficiently degrade misfolded proteins or protein fragments. However, recent reports suggest that folded proteins can also be native substrates. To gain a deeper understanding of how folded proteins are initially processed and subsequently degraded into short peptides by human HTRA1, we established an integrated and quantitative approach using time-resolved mass spectrometry, CD spectroscopy, and bioinformatics. The resulting data provide high-resolution information on up to 178 individual proteolytic sites within folded ANXA1 (consisting of 346 amino acids), the relative frequency of cuts at each proteolytic site, the preferences of the protease for the amino acid sequence surrounding the scissile bond, as well as the degrees of sequential structural relaxation and unfolding of the substrate that occur during progressive degradation. Our workflow provides precise molecular insights into protease-substrate interactions, which could be readily adapted to address other posttranslational modifications such as phosphorylation in dynamic protein complexes.

Authors

Institutions

Publication Details

Journal
Journal of Biological Chemistry
Published
2024-09-21
DOI
https://doi.org/10.1016/j.jbc.2024.107812
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.24

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High resolution analysis of proteolytic substrate processing

Christine Beuck, Doris Hellerschmied, Markus Kaiser, Michelle Koci et al.
1 citations
Journal of Biological Chemistry
Advanced Proteomics Techniques and Applications
0.24
article

High resolution analysis of proteolytic substrate processing

Christine Beuck, Doris Hellerschmied, Markus Kaiser, Michelle Koci, Hartmut Luecke, Jasmin Schillinger, Geronimo Heilmann, Steven G. Burston, Farnusch Kaschani, Michael Ehrmann, Kenny Bravo-Rodriguez, Robert Huber
article en
1 citations

Abstract

Members of the widely conserved high temperature requirement A (HtrA) family of serine proteases are involved in multiple aspects of protein quality control. In this context, they have been shown to efficiently degrade misfolded proteins or protein fragments. However, recent reports suggest that folded proteins can also be native substrates. To gain a deeper understanding of how folded proteins are initially processed and subsequently degraded into short peptides by human HTRA1, we established an integrated and quantitative approach using time-resolved mass spectrometry, CD spectroscopy, and bioinformatics. The resulting data provide high-resolution information on up to 178 individual proteolytic sites within folded ANXA1 (consisting of 346 amino acids), the relative frequency of cuts at each proteolytic site, the preferences of the protease for the amino acid sequence surrounding the scissile bond, as well as the degrees of sequential structural relaxation and unfolding of the substrate that occur during progressive degradation. Our workflow provides precise molecular insights into protease-substrate interactions, which could be readily adapted to address other posttranslational modifications such as phosphorylation in dynamic protein complexes.

Journal of Biological ChemistryVol. 300(11)
University of Lisbon (PT), University of Bristol (GB), Max Planck Institute of Molecular Physiology (DE), University of Duisburg-Essen (DE)
Deutsche Forschungsgemeinschaft
Zero hunger
Openalex Percentile: Top 50%
Advanced Proteomics Techniques and Applications
0.24
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.