G-quadruplexe as a structural modulator of Intron Retention upon viral infection
Bibliographic record
Abstract
Abstract Amongst the wide array of alternative splicing events (ASE), the intrinsic mechanisms of intron retention have remained elusive. This particular type of ASE has long been characterized as an artifact, but recent studies have shown its implication in numerous diseases. It has also been revealed that numerous viruses choose to disrupt alternative splicing to escape cellular immune response and further their proliferation. The main focus of this study was to investigate the G-quadruplex role in Alternative Splicing Events (ASEs) that occur following Flavivirus infections. After having demonstrated that G-quadruplexes structures are mainly formed in Intron Retained Transcripts by RNA-seq, our attention turned toward the ULK3 gene, coding for a serine/threonine kinase regulating autophagy, an essential mechanism in the cellular response to stress and even pathogen infections. In this study, we revealed the presence of a G-quadruplex in the first intron of the ULK3 gene near the 3 ’ splice site. Furthermore, we assayed the formation and stability of this G-quadruplex in vitro and showed that its formation affects IR, as demonstrated by comparisons between wild-type and mutant transfected mini-genes. Finally, we identified the specific RNA-binding protein signature for this G-quadruplex, thereby uncovering the novel role of G-quadruplexes in Alternative Splicing.
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".