Bibliographic record
Abstract
The goal of this project was to ascertain the function(s) of Leukocyte-specific protein 1 (LSP1) in the immune system, through the production and analysis of gene-targeted LSP1-deficient mice. I began this work by determining the genomic organization of the murine Lsp1 gene, which provided the information necessary for development of a gene-targeting strategy and subsequent production of mutant mice. Since LSP1 is expressed in both B and T lymphocytes, as well as in neutrophils and macrophages, LSP1-deficient mice were assessed for development and function of these various leukocyte populations. This analysis revealed no apparent effects of the LSP1 deficiency on either the development or function of lymphocyte populations. In addition, contrary to previous suggestions that downregulation of LSP1 expression might be a contributing factor in murine T-lymphomagenesis, LSP1-deficient animals are not predisposed to development of T-lymphoma. By contrast, certain myeloid populations are affected by the LSP1 deficiency, as evidenced by an expanded population of resident peritoneal macrophages and by altered inflammatory responses in LSP1-deficient mice. In these mice, thioglycollate-induced peritonitis is characterized by a greater initial accumulation of neutrophils, followed by accelerated macrophage accumulation and accelerated neutrophil clearance, relative to wildtype mice. Enhanced neutrophil chemotaxis, leading to increased recruitment from the bloodstream, is likely to account for the initial effect on neutrophil accumulation since LSP1-deficient neutrophils also exhibit enhanced chemotaxis in vitro. These findings identify LSP1 as a negative regulator of cell motility in murine neutrophils.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".