The importance of discs large homolog 5 and microRNA-34 expression to the development of the mosquito Aedes aegypti
Bibliographic record
Abstract
Understanding how the expression of particular genes and regulation of genes affects development in different organisms is key to advancing our knowledge in developmental biology. The epithelial-mesenchymal transition (EMT) process is commonly observed during the growth and development of various animal tissues. One gene involved in EMT regulation and directly related to development in humans is discs large homolog 5 (dlg5). If the role of this gene is conserved across species, it opens many medical application possibilities to help treat a multitude of medical issues, such as cancer. microRNAs are short, single-stranded non-coding RNAs that regulate gene expression by binding to the 3’UTR of complementary target mRNAs. microRNA-34 (miR-34) is a microRNA of interest with relation to dlg5 as it is predicted to bind with dlg transcripts. miR-34 has also shown clinical potential in the past with regulating cell proliferation. This study looks at the dlg5 gene and miR-34 in the mosquito Aedes aegypti to see if the expression of this gene and microRNA is evolutionarily conserved to that of Drosophila melanogaster. A developmental expression qRT-PCR analysis, analyzing the relative dlg and miR-34 transcript levels in different temporal stages of A. aegypti development, was conducted to compare the relative transcript levels of A. aegypti throughout development. Then, a dlgdsRNA RNAi-mediated knockdown by bacterial feeding was performed to see if knocking down dlg has an effect on development. The results of the qRT-PCR analysis and RNAi experiment were not significant enough to come to a justified conclusion. Therefore, further testing is required to produce meaningful conclusions regarding the developmental expression of dlg and miR-34.
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 | 0.000 | 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".