AI Article Synopsis

  • There are three types of PCNA clamp-loading complexes in humans: RFC and CTF18-RFC load PCNA onto DNA, while ATAD5-RFC exclusively unloads it.
  • The study reveals that ATAD5 has two unique loops that stabilize the structure, preventing changes necessary for DNA binding, which is why it functions only as a PCNA unloader.
  • Additionally, the research shows ATAD5-RFC can open a gap in the PCNA structure at a different location than previously known, expanding our understanding of how PCNA dynamics work.

Article Abstract

Humans have three different proliferating cell nuclear antigen (PCNA) clamp-loading complexes: RFC and CTF18-RFC load PCNA onto DNA, but ATAD5-RFC can only unload PCNA from DNA. The underlying structural basis of ATAD5-RFC unloading is unknown. We show here that ATAD5 has two unique locking loops that appear to tie the complex into a rigid structure, and together with a domain that plugs the DNA-binding chamber, prevent conformation changes required for DNA binding, likely explaining why ATAD5-RFC is exclusively a PCNA unloader. These features are conserved in the yeast PCNA unloader Elg1-RFC. We observe intermediates in which PCNA bound to ATAD5-RFC exists as a closed planar ring, a cracked spiral or a gapped spiral. Surprisingly, ATAD5-RFC can open a PCNA gap between PCNA protomers 2 and 3, different from the PCNA protomers 1 and 3 gap observed in all previously characterized clamp loaders.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11563871PMC
http://dx.doi.org/10.1038/s41594-024-01332-4DOI Listing

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Article Synopsis
  • There are three types of PCNA clamp-loading complexes in humans: RFC and CTF18-RFC load PCNA onto DNA, while ATAD5-RFC exclusively unloads it.
  • The study reveals that ATAD5 has two unique loops that stabilize the structure, preventing changes necessary for DNA binding, which is why it functions only as a PCNA unloader.
  • Additionally, the research shows ATAD5-RFC can open a gap in the PCNA structure at a different location than previously known, expanding our understanding of how PCNA dynamics work.
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