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Cited by 422

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Identification of Holliday junction resolvases from humans and yeast

Open access
Ip, Stephen C. Y., Rass, Ulrich, Blanco, Miguel G., Flynn, Helen R., Skehel, J. Mark, West, Stephen C.·2008·Nature

Abstract

Four-way DNA intermediates, also known as Holliday junctions, are formed during homologous recombination and DNA repair, and their resolution is necessary for proper chromosome segregation. Here we identify nucleases from Saccharomyces cerevisiae and human cells that promote Holliday junction resolution, in a manner analogous to that shown by the Escherichia coli Holliday junction resolvase RuvC. The human Holliday junction resolvase, GEN1, and its yeast orthologue, Yen1, were independently identified using two distinct experimental approaches: GEN1 was identified by mass spectrometry following extensive fractionation of HeLa cell-free extracts, whereas Yen1 was detected by screening a yeast gene fusion library for nucleases capable of Holliday junction resolution. The eukaryotic Holliday junction resolvases represent a new subclass of the Rad2/XPG family of nucleases. Recombinant GEN1 and Yen1 resolve Holliday junctions by the introduction of symmetrically related cuts across the junction point, to produce nicked duplex products in which the nicks can be readily ligated.

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Metadata

Authors
Ip, S. C. Y., Rass, U., Blanco, M. G., Flynn, H. R., Skehel, J. M., & West, S. C.
Venue
Nature
Published
2008-11
Volume
456
Issue
7220
Pages
357-361
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2079027867
Cited by
422
References
2
FWCI
14.39
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Identification of Holliday junction resolvases from humans and yeast. https://app.cochat.ai/papers/10.1038/nature07470
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Ip, S. C. Y., Rass, U., Blanco, M. G., Flynn, H. R., Skehel, J. M., & West, S. C. (2008). Identification of Holliday junction resolvases from humans and yeast. Nature. https://doi.org/10.1038/nature07470

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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.