Defining QUAKING's ribonucleoprotein complex and its potential involvement in microRNA processing
Bibliographic record
Abstract
The quaking gene encodes a family of alternatively spliced RNA binding protein isoforms that differ in their C-terminal regions. All of the QUAKING (QKI) proteins contain a single stranded RNA binding domain, KH domain, and are part of the larger STAR (Signal Transduction and Activator of RNA) family. These isoforms have expression patterns that differ spatially and temporally and coincide with development of both central and peripheral nervous systems. The QKI proteins have been implicated in several post-transcriptional mechanisms such as pre-mRNA splicing, mRNA export, mRNA stability and protein translation. Although the QKI protein is known to exist as homo- and heterodimeric forms, the size of its cellular complex and its components are largely uncharacterized. Herein, I have confirmed that QKI indeed forms a large protein complex and in addition defined the size of the complex and identified some of its components. Using a second approach, I also identified the microRNA-processing enzyme Argonaute 2 (Ago2) protein as one of QKI interacting proteins and biochemically validated and characterized its association with QKI in vivo. Furthermore, I generated a qkI-6 and qkI-7 conditional allele that will generate a new mouse model, in order to delineate the correlation between QKI and micro RNA processing.
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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 | 0.001 | 0.001 |
| 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".