A mouse model for the selective ablation of proliferating myeloid cells /
Bibliographic record
Abstract
Microglia are the resident immune cells of the central nervous system (CNS). Although the microglial response can be beneficial, there is increasing evidence for detrimental effects of the microglial activation in cases of acute CNS trauma and neurodegenerative disorders. To better understand the role of these cells in CNS pathogenesis, we have created a mouse model with selective and conditional ablation of microglia as well as other cells of myeloid origin in proliferation. To achieve the elimination of proliferating microglia, transgenic mice that express the suicidal gene herpes simplex virus 1 thymidine kinase (HSV-1 TK) driven by the myeloid specific promoter CD11b were generated. HSV-1 TK is itself unable to mediate cell death. However, unlike the mammalian thymidine kinase, HSV-1 TK is capable of phosphorylating specific nucleoside analogues such as ganciclovir which lead during cell proliferation to inhibition of DNA synthesis and cell death. Here, we will describe the creation and the characterization of CD11b-TK mouse lines that can be used to ablate proliferating myeloid cells in paradigms of acute CNS injury.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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".