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DNA strand annealing is promoted by the yeast Rad52 protein.

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Mortensen, U H, Bendixen, C, Sunjevaric, I, Rothstein, R·1996·Proceedings of the National Academy of Sciences

Abstract

The Saccharomyces cerevisiae RAD52 gene plays a pivotal role in genetic recombination. Here we demonstrate that yeast Rad52 is a DNA binding protein. To show that the interaction between Rad52 and DNA is direct and not mediated by other yeast proteins and to facilitate protein purification, a recombinant expression system was developed. The recombinant protein can bind both single- and double-stranded DNA and the addition of either Mg2+ or ATP does not enhance the binding of single-stranded DNA. Furthermore, a DNA binding domain was found in the evolutionary conserved N terminus of the protein. More importantly, we show that the protein stimulates DNA annealing even in the presence of a large excess of nonhomologous DNA. Rad52-promoted annealing follows second-order kinetics and the rate is 3500-fold faster than that of the spontaneous reaction. How this annealing activity relates to the genetic phenotype associated with rad52 mutant cells is discussed.

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Metadata

Authors
Mortensen, U. H., Bendixen, C., Sunjevaric, I., & Rothstein, R.
Venue
Proceedings of the National Academy of Sciences
Published
1996-10
Volume
93
Issue
20
Pages
10729-10734
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2035994249
Cited by
472
References
0
FWCI
5.20
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: DNA strand annealing is promoted by the yeast Rad52 protein. https://app.cochat.ai/papers/10.1073/pnas.93.20.10729
The paper
Mortensen, U. H., Bendixen, C., Sunjevaric, I., & Rothstein, R. (1996). DNA strand annealing is promoted by the yeast Rad52 protein. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.93.20.10729

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.