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Updated: Jun 7, 2026

Quantitative Detection of DNA-Protein Crosslinks and Their Post-Translational Modifications
Published on: April 21, 2023
Subtle alterations in PCNA-partner interactions severely impair DNA replication and repair
Yearit Fridman1, Niv Palgi, Daniel Dovrat
1Department of Life Sciences and the National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Be'er Sheva, Israel.
Biological systems can be fragile to subtle changes, not just complete disruptions. This study reveals that increased proliferating cell nuclear antigen (PCNA) interactions cause severe defects, highlighting unexpected biological fragility.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Biological systems exhibit robustness against environmental and genetic changes.
- The fragility of biological processes remains less understood compared to robustness.
- Proliferating cell nuclear antigen (PCNA) plays a crucial role in DNA replication and repair.
Purpose of the Study:
- To investigate the susceptibility of DNA replication and repair processes mediated by PCNA.
- To explore the impact of altered PCNA-partner interactions on biological systems.
- To compare the phenotypic effects of subtle affinity changes versus complete interaction abolishment.
Main Methods:
- Utilized protein directed evolution to generate PCNA mutants.
- Employed biochemical and genetic approaches for characterization.
- Analyzed the in vivo phenotypic consequences of modified PCNA-partner interactions.
Main Results:
- PCNA mutants with increased partner interaction affinities exhibited severe in vivo defects.
- These defects were unexpectedly more severe than those caused by complete interaction loss.
- Subtle affinity perturbations yielded distinct phenotypic effects compared to traditional gene knockouts.
Conclusions:
- Biological systems can be robust to certain perturbations but fragile to others.
- Increased affinity in PCNA-partner networks can lead to significant biological fragility.
- The study reveals the nuanced nature of biological system responses to varying interaction strengths.
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