Identification of Sam68 Arginine Glycine-rich Sequences Capable of Conferring Nonspecific RNA Binding to the GSG Domain
Bibliographic record
Abstract
Sam68 is an RNA-binding protein that contains a heterogeneous nuclear ribonucleoprotein K homology domain embedded in a larger RNA binding domain called the GSG (GRP33, Sam68, GLD-1) domain. This family of proteins is often referred to as the STAR (signal transduction and activators of RNA metabolism) proteins. It is not known whether Sam68 is a general nonspecific RNA-binding protein or whether it recognizes specific response elements in mRNAs with high affinity. Sam68 has been shown to bind homopolymeric RNA and a synthetic RNA sequence called G8-5 that has a core UAAA motif. Here we performed a structure function analysis of Sam68 and identified two arginine glycine (RG)-rich regions that confer nonspecific RNA binding to the Sam68 GSG domain. In addition, by using chimeric proteins between Sam68 and QKI-7, we demonstrated that one of the Sam68 RG-rich sequences of 26 amino acids was sufficient to confer homopolymeric RNA binding to the GSG domain of QKI-7, another STAR protein. Furthermore, that minimal sequence can also give QKI-7 the ability (as Sam68) to functionally substitute for HIV-1 REV to facilitate the nuclear export of RNAs. Our studies suggest that neighboring RG-rich sequences may impose nonspecific RNA binding to GSG domains. Because the Sam68 RNA binding activity is negatively regulated by tyrosine phosphorylation, our data lead us to propose that Sam68 might be a specific RNA-binding protein when tyrosine phosphorylated.
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".