Dynamic and selective DNA-binding activity of Smc5, a core component of the Smc5-Smc6 complex
Bibliographic record
Abstract
Members of the structural maintenance of chromosome (SMC) family of proteins are essential regulators of genomic stability. In particular, the conserved Smc5-6 complex is required for efficient DNA repair, checkpoint signaling, and DNA replication in all eukaryotes. Despite these important functions, the actual nature of the DNA substrates recognized by the Smc5-6 complex in chromosomes is currently unknown. Furthermore, how the core SMC components of the Smc5-6 complex use their ATPase-driven mechanochemical activities to act on chromosomes is not understood. Here, we address these issues by purifying and defining the DNA-binding activity of Smc5. We show that Smc5 binds strongly and specifically to single-stranded DNA (ssDNA). Remarkably, this DNA-binding activity is independent of Smc6 and is observed with the monomeric form of Smc5. We further show that Smc5 ATPase activity is essential for its functions in vivo and that ATP regulates the association of Smc5 with its substrates in vitro. Finally, we demonstrate that Smc5 is able to bind efficiently to oligonucleotides consistent in size with ssDNA intermediates produced during DNA replication and repair. Collectively, our data on the DNA-binding activities of Smc5 provide a compelling molecular basis for the role of the Smc5-6 complex in the DNA damage response.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".