Systematic delineation of signaling and epigenomic mechanisms underlying microglia inflammatory activity in acute and chronic brain pathologies
Bibliographic record
Abstract
Abstract Microglia promptly mount an inflammatory response following detection of infectious agents or injuries in the central nervous system. Such function fundamentally depends upon dynamic modulation of gene expression. However, the signaling and epigenomic mechanisms that regulate the transcriptional process underlying microglial inflammatory activity are not well understood. To address this, we used RNA-seq, ChIP-seq and ATAC-seq to delineate gene signatures and activity across the repertoire of genomic regulatory elements of microglia engaged in acute and chronic neuroinflammatory activity. Systematic interrogations of the microglial population over time during a systemic inflammatory response revealed a coordinated, sequential activation of multiple gene programs associated with defense response, translation and cell cycling. Activation of these programs occurred in parallel with gain and loss of activity at 4,080 and 3,119 genomic cis-regulatory elements, respectively. Furthermore, computational analyses identified key transcriptional regulators, including Ets, AP-1, C/epb, Nf-κB, Irf, Runx, c-Myc and E2f family members, that display differential propensity for activity at gene promoters and promoter-distal cis-regulatory elements. Gene expression analyses also suggested that the transcriptional process likely contribute to the effective activity of numerous transcriptional regulators through the modulation of their mRNA levels. Finally, characterization of CD11c-positive microglia that emerge with chronic demyelinating brain lesions suggested that Egr2, Mef2 members and E-box-binding factors such as Tfeb and Mitf contribute to the enhanced phagosomal activity of this inflammatory subset. Loss-of-function experiments validated that Mef2a in microglia is necessary for the acquisition of the CD11c-positive phenotype. Collectively, these results demonstrate that the inflammatory activity of microglia arises through an intricate, ultimately context-dependent, interplay between signaling pathways, genomic regulatory elements and the transcriptional machinery.
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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 | 0.001 |
| 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".