Cellular <i>Lnc_209997</i> suppresses <i>Bombyx mori</i> nucleopolyhedrovirus replication by targeting <scp>miR</scp> ‐275‐5p in <i>B. mori</i>
Bibliographic record
Abstract
Long non-coding RNA (lncRNA) is a type of non-coding RNA molecule, which exceeds 200 nucleotides in length and participates in the regulation of a variety of life activities. Recent studies showed that lncRNAs play important roles in viral infection and host immunity. At present, the researches on insect lncRNAs are relatively few. In this study, we found the expression of Lnc_209997 was significantly down-regulated in silkworm fat body infected with Bombyx mori nucleopolyhedrosis virus (BmNPV). Inhibition of Lnc_209997 promoted BmNPV replication. Enhancing the expression of Lnc_209997 inhibited the proliferation of BmNPV. miR-275-5p was up-regulated in silkworm fat body infected with BmNPV. Dual luciferase reporter gene system confirmed the interaction between Lnc_209997 and miR-275-5p. Over-expression of Lnc_209997 inhibited the expression of miR-275-5p, while inhibition of Lnc_209997 enhanced the expression of miR-275-5p. Further, over-expression of miR-275-5p can facilitate the replication of BmNPV. These results suggested that BmNPV could increase the expression of miR-275-5p by inhibiting cellular Lnc_209997 expression to promote their own proliferation. Our results are helpful for better understanding the role of lncRNAs in BmNPV infection, and provide insights into elucidating the molecular mechanism of interaction between Bombyx mori and virus.
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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 | 0.001 |
| 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".