The role of human Shu complex in ATP-dependent regulation of RAD51 filaments during homologous recombination–associated DNA damage response
Bibliographic record
Abstract
Error-free DNA lesion bypass is an important pathway in DNA damage tolerance. The Shu complex facilitates this process by promoting homologous recombination (HR) to bypass DNA damage. Biochemical analysis of the human Shu complex homolog, hSWS1-SWSAP1, offers valuable insights into the HR-associated DNA damage response. Here, we biochemically characterized the human Shu complex and examined its interactions with RAD51 filaments, which are essential in HR. Using fluorescence polarization assays, we first revealed that hSWS1-SWSAP1 preferentially binds DNA with an exposed 5' end in the presence of adenine nucleotides. We then investigated and validated the DNA-stimulated ATPase activity of hSWS1-SWSAP1 through site-specific mutagenesis, revealing that DNA with an exposed 5' end is the most efficient in enhancing this activity. Furthermore, we showed that hSWS1-SWSAP1 initially interacts with RAD51 filaments at the 5' end and modulates the properties of the nucleoprotein filaments using fluorescence-based assays. Our findings revealed that hSWS1-SWSAP1 induces conformational changes in RAD51 filaments in an ATP hydrolysis-dependent manner, while its stabilization of the filaments depends on ATP binding. This work provides mechanistic insights into the regulation of RAD51 filaments in HR-associated DNA damage tolerance.
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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".