A novel imaging biosensor for the detection of reversed replication forks and four-way junctions in human cells
Malacaria, E.; Roscioli, E.; Franchitto, A.; Pichierri, P.
Show abstract
Replication fork reversal and recombination-dependent replication protect perturbed forks by forming four-way DNA junctions. Despite their central role, detecting these intermediates in intact cells has historically required electron microscopy of bulk extracted DNA. Here, we describe a genetically encoded biosensor for four-way junctions based on nuclear-targeted bacterial RuvA tagged with GFP or Spot-tag. Combined with SIRF, RuvA selectively accumulates at nascent DNA following hydroxyurea- or camptothecin-induced replication stress. Recruitment requires fork-reversal factors and is abolished by a non-binding mutant (K84E/K119E), confirming specificity. The biosensor dynamically tracks reversed fork abundance, capturing MRE11-mediated fork degradation in BRCA2- or RAD52-deficient cells and its functional rescue. Finally, RuvA reveals RAD51-dependent four-way junctions at nucleolar rDNA arrays in unperturbed and stressed cells. This tool converts a bulk population measurement into a visualizable readout with single-cell and subnuclear resolution, enabling direct spatial analysis of DNA structures in situ.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Ultrastructural details of mammalian chromosome architecture 96%
- Direct visualization of native CRISPR target search in live bacteria reveals Cascade DNA surveillance mechanism 95%
- Apical Localization of RNA Polymerases Modulate Transcription Dynamics and Supercoiling Domains Revealed by Cryo-ET 94%
Similar papers in this journal
- OT-Curtains: an approach for studying protein interactions with DNA-ends using optical tweezers and confocal fluorescence microscopy 95%
- A Dynamic Search Mechanism Enables APE1 to Identify AP-Sites in DNA 95%
- Single-molecule imaging reveals a direct role of CTCF's zinc fingers in SA interaction and cluster-dependent RNA recruitment 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.