Fluorescent sensors of PARP-1 structural dynamics and allosteric regulation in response to DNA damage
Bibliographic record
Abstract
Poly(ADP-ribose) (PAR) is a posttranslational modification predominantly synthesized by PAR polymerase-1 (PARP-1) in genome maintenance. PARP-1 detects DNA damage, and damage detection is coupled to a massive increase PAR production, primarily attached to PARP-1 (automodification). Automodified PARP-1 then recruits repair factors to DNA damage sites. PARP-1 automodification eventually leads to release from DNA damage thus turning off catalytic activity, although the effects of PAR on PARP-1 structure are poorly understood. The multiple domains of PARP-1 are organized upon detecting DNA damage, creating a network of domain contacts that imposes a major conformational transition in the catalytic domain that increases PAR production. Presented here are two novel fluorescent sensors that monitor the global and local structural transitions of PARP-1 that are associated with DNA damage detection and catalytic activation. These sensors display real-time monitoring of PARP-1 structural transitions upon DNA damage detection, and their reversal upon PARP-1 automodification. The fluorescent sensors are further used to investigate intramolecular and intermolecular PARP-1 activation, followed by the observation that intramolecular activation of PARP-1 is the predominant response to DNA strand breaks in cells. These results provide a unique perspective on the interplay between PARP-1 DNA damage recognition, allosteric regulation, and catalytic activity.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".