TRIL, a Functional Component of the TLR4 Signaling Complex, Highly Expressed in Brain
Bibliographic record
Abstract
TLR4 is the primary sensor of LPS. In this study, we describe for the first time TLR4 interactor with leucine-rich repeats (TRIL), which is a novel component of the TLR4 complex. TRIL is expressed in a number of tissues, most prominently in the brain but also in the spinal cord, lung, kidney, and ovary. TRIL is composed of a signal sequence, 13 leucine-rich repeats, a fibronectin domain, and a single transmembrane spanning region. TRIL is induced by LPS in the human astrocytoma cell line U373, in murine brain following i.p. injection, and in human PBMC. Endogenous TRIL interacts with TLR4 and this interaction is greatly enhanced following LPS stimulation. TRIL also interacts with the TLR4 ligand LPS. Furthermore, U373 cells stably overexpressing TRIL display enhanced cytokine production in response to LPS. Finally, knockdown of TRIL using small interfering RNA attenuates LPS signaling and cytokine production in cell lines, human PBMC, and primary murine mixed glial cells. These results demonstrate that TRIL is a novel component of the TLR4 complex which may have particular relevance for the functional role of TLR4 in the brain.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".