Cooperative Regulation of the Induction of the Novel Antibacterial Listericin by Peptidoglycan Recognition Protein LE and the JAK-STAT Pathway
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Intracellular bacteria cause serious infectious diseases such as tuberculosis, shigellosis, and listeriosis. The Drosophila peptidoglycan recognition protein (PGRP)-LE functions as an important host pattern recognition receptor against intracellular bacteria such as Listeria monocytogenes. One PGRP-LE-mediated intracellular response against L. monocytogenes infection is the induction of autophagy, a conserved intracellular degradation system. Here, to further elucidate PGRP-LE-mediated intracellular innate immune responses, we performed a strategic microarray analysis and identified the Listericin gene, whose expression is induced in response to L. monocytogenes infection in a PGRP-LE-dependent manner. RNA interference and overexpression experiments demonstrated that Listericin gene induction is cooperatively regulated by PGRP-LE and the JAK-STAT (Janus kinase-signal transducers and activators of transcription) pathway. An in vitro cell culture assay showed that Listericin is secreted as processed forms and suppresses the growth of L. monocytogenes and Gram-negative bacteria. A colony formation unit assay clearly demonstrated that induction of the Listericin gene suppresses not only the growth of L. monocytogenes but also the growth of Gram-negative bacteria in vivo. Based on these findings, we propose that the Listericin gene encodes a novel antibacterial peptide-like protein whose induction is cooperatively regulated by PGRP-LE and the JAK-STAT pathway.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it