Faculty Opinions recommendation of Bcl2 negatively regulates DNA double-strand-break repair through a nonhomologous end-joining pathway.
Bibliographic record
Abstract
Bcl2 can enhance susceptibility to carcinogenesis, but the mechanism(s) remains fragmentary. Here we discovered that Bcl2 suppresses DNA double-strand-break (DSB) repair and V(D)J recombination by downregulating Ku DNA binding activity, which is associated with increased genetic instability. Exposure of cells to ionizing radiation enhances Bcl2 expression in the nucleus, which interacts with both Ku70 and Ku86 via its BH1 and BH4 domains. Removal of the BH1 or BH4 domain abrogates the inhibitory effect of Bcl2 on Ku DNA binding, DNA-PK, and DNA end-joining activities, which results in the failure of Bcl2 to block DSB repair as well as V(D)J recombination. Intriguingly, Bcl2 directly disrupts the Ku/DNA-PKcs complex in vivo and in vitro. Thus, Bcl2 suppression of the general DSB repair and V(D)J recombination may occur in a mechanism by inhibiting the nonhomologous end-joining pathway, which may lead to an accumulation of DNA damage and genetic instability. PMID: 18313386 Funding information This work was supported by: NCI NIH HHS, United States Grant ID: R01 CA136534 NCI NIH HHS, United States Grant ID: R01 CA112183-04 NCI NIH HHS, United States Grant ID: R01 CA112183-03 NCI NIH HHS, United States Grant ID: R01 CA112183
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.539 | 0.290 |
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".