Somatodendritic localization and mRNA association of the splicing regulatory protein Sam68 in the hippocampus and cortex
Bibliographic record
Abstract
The RNA-binding protein Sam68 has been implicated in the signal-dependent processing of pre-mRNA and in the utilization of intron-containing retroviral mRNAs. Sam68 is predominantly nuclear but exhibits remarkable binding affinity for signalling proteins located at the membrane. We have investigated the subcellular distribution of Sam68 in adult rat cortex and hippocampus. Subcellular fractionation showed that the protein was most abundant in nuclei but also was present at a significant level in the cytosol and membrane fractions, including light and synaptic membranes derived from crude synaptosomes. Sam68 extracted from the synaptosomal fraction cosedimented with polysomes on sucrose gradients. In agreement with these findings, immunohistochemical staining indicated that Sam68 was concentrated in neuronal nuclei but was also detectable in the soma and dendrites. Sam68 immunoreactivity examined at the ultrastructural level was found to associate with dendritic microtubules, endoplasmic reticulum, and free polyribosomes, sometimes close to synapses. A combination of immunoprecipitation and RT-PCR directly confirmed that Sam68 was bound to polyadenylated mRNA in cortical lysates. The alphaCaMKII mRNA was identified as one of the coprecipitated transcripts; in contrast, the gephyrin and NR1-1 mRNAs were not coprecipitated, indicating a certain degree of sequence specificity in the association. In electrophoretic mobility shift assays, recombinant GST-Sam68 as well as brain-derived Sam68 bound with high affinity to the alphaCaMKII 3' untranslated region. These results suggest that Sam68 may accompany and, conceivably, regulate mature mRNAs during nuclear export, somatodendritic transport, and translation.
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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 | 0.000 |
| 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".