Severe liver degeneration and lack of <i>NF</i>-κ<i>B</i> activation in <i>NEMO/IKKγ</i>-deficient mice
Bibliographic record
Abstract
Phosphorylation of IκB, an inhibitor ofNF-κB, is an important step in the activation of the transcription factor NF-κB. Phosphorylation is mediated by the IκB kinase (IKK) complex, known to contain two catalytic subunits: IKKα andIKKβ. A novel, noncatalytic component of this kinase complex called NEMO(NF-κBessentialmodulator)/IKKγ was identified recently. We have generatedNEMO/IKKγ-deficient mice by gene targeting. Mutant embryos die at E12.5–E13.0 from severe liver damage due to apoptosis.NEMO/IKKγ-deficient primary murine embryonic fibroblasts (MEFs) lack detectableNF-κB DNA-binding activity in response to TNFα, IL-1, LPS, and Poly(IC) and do not show stimulus-dependent IκB kinase activity, which correlates with a lack of phosphorylation and degradation of IκBα. Consistent with these data, mutant MEFs show increased sensitivity to TNFα-induced apoptosis. Our data provide in vivo evidence that NEMO/IKKγ is the first essential, noncatalytic component of the IKK complex.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".