MNDA regulates a novel nuclear‐mitochondrial circuit critical for progression of apoptosis in human neutrophils
Bibliographic record
Abstract
Delayed neutrophil apoptosis perpetuates inflammation and delays the resolution of inflammation. We investigated the role of the nuclear protein MNDA (myeloid nuclear differentiation antigen) in progression of apoptosis of human neutrophils. We found that during constitutive apoptosis, MNDA is cleaved by caspase‐3 and relocated from the nucleus to the cytoplasm. MNDA co‐immunoprecipitates with the anti‐apoptotic protein Mcl‐1, accelerates proteasomal degradation of Mcl‐1, thereby contributing to collapse of mitochondrial transmembrane potential. MNDA knockdown with short hairpin RNA attenuates Mcl‐1 turnover, preserve mitochondrial function and confers resistance to apoptosis in myeloid HL‐60 cells. Culture of neutrophils with inflammatory mediators, including LPS, bacterial DNA, PAF or the acute phase reactants modified C‐reactive protein and serum amyloid A, prevents MNDA cleavage and translocation parallel with suppression of neutrophil apoptosis. Our results identify MNDA as a central mediator of a novel nucleus‐mitochondrion circuit that regulates progression of neutrophil apoptosis. (Grant support: LLSC and CIHR).
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 | 0.000 | 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".