The E(spl) and Su(H) of Notch Signaling Are Required for Regulating of Drosophila Innate Immunity
Bibliographic record
Abstract
The innate immune system is the first line of the multicellular organism against the various pathogens invading. The Notch signaling plays a significant role in maintaining the balance among cell proliferation, differentiation, apoptosis and development. To further investigate the function of Notch signaling pathway in Drosophila innate immunity, Drosophila mutants, E(spl) and Su(H), which are located in the downstream of Notch signaling pathway, were utilized to analyze the survival rate, in vivo phagocytosis and production of antimicrobial peptides after pathogen infections. In addition, the number of circulating plasmatocytes in third instar larvae of mutant and wild type flies was also measured. The results indicate that the E(spl) mutant showed lower survival rate, phagocytosis and the expression of AMP genes after pathogen infections. Furthermore, an abnormal increase in the number of plasmatocytes in E(spl) mutant larvae was also observed. Compared with E(spl) mutant, the mutant of Su(H) only showed sensitive to fungi, however, phagocytic ability of hemocytes was normal in fungi infection. At the same time, the expression of antimicrobial peptides was decreased in Su(H) mutant. These results show that the Notch pathway not only affects the growth and development of individuals, but also plays an important role in regulating innate immunity of Drosophila.
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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) | 0.000 | 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) | 0.001 | 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 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".