Targeting SRSF3 restores immune mRNA translation in microglia/macrophages following cerebral ischemia
Bibliographic record
Abstract
We recently described a novel ribosome-based regulatory mechanism/checkpoint that controls innate immune gene translation and microglial activation in non-sterile inflammation orchestrated by RNA binding protein SRSF3. Here we describe a role of SRSF3 in the regulation of microglia/macrophage activation phenotypes after experimental stroke. Using a model-system for analysis of the dynamic translational state of microglial ribosomes we show that 24 h after stroke highly upregulated immune mRNAs are not translated resulting in a marked dissociation of mRNA and protein networks in activated microglia/macrophages. Next, microglial activation after stroke was characterized by a robust increase in pSRSF3/SRSF3 expression levels. Targeted knockdown of SRSF3 using intranasal delivery of siRNA 24 h after stroke caused a marked knockdown of endogenous protein. Further analyses revealed that treatment with SRSF3-siRNA alleviated translational arrest of selected genes and induced a transient but significant increase in innate immune signaling and IBA1+ immunoreactivity peaking 5 days after initial injury. Importantly, delayed SRSF3-mediated increase in immune signaling markedly reduced the size of ischemic lesion measured 7 days after stroke. Together, our findings suggest that targeting SRSF3 and immune mRNA translation may open new avenues for molecular/therapeutic reprogramming of innate immune response after ischemic injury.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".