Epigenomic and transcriptional determinants of microglial cell identity
Bibliographic record
Abstract
Microglia perform multiple tasks that are essential to ensure proper cerebral functions, including synaptic remodeling, clearance of molecular debris, prevention of infections, and so forth. Furthermore, accumulating genetic and pathological evidence implicates microglial cell activity in the etiology of numerous neurodegenerative diseases and psychiatric disorders. Given this, efforts aimed at understanding the molecular mechanisms underlying microglial cell functions hold great potential for the development of novel therapies for various conditions affecting the central nervous system. In that regard, the application of paradigms in epigenomics to study transcription in microglia has provided significant insights into the molecular mechanisms that control the ontogeny and functions of these cells. With a focus on the roles of genomic regulatory elements and the epigenetic marks that control microglial gene expression, we review here recent key advancements in our comprehension of the epigenomic and transcriptional mechanisms that enable microglial cell development and 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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".