The predicted RNA-binding protein regulome of axonal mRNAs
Bibliographic record
Abstract
Neurons are morphologically complex cells that rely on the compartmentalization of protein expression to develop and maintain their cytoarchitecture. The targeting of RNA transcripts to axons is one of the mechanisms that allows rapid local translation of proteins in response to extracellular signals. 3' Untranslated regions (UTRs) of mRNA are noncoding sequences that play a critical role in determining transcript localization and translation by interacting with specific RNA-binding proteins (RBPs). However, how 3' UTRs contribute to mRNA metabolism and the nature of RBP complexes responsible for these functions remains elusive. We performed 3' end sequencing of RNA isolated from cell bodies and axons of sympathetic neurons exposed to either nerve growth factor (NGF) or neurotrophin 3 (NTF3, also known as NT-3). NGF and NTF3 are growth factors essential for sympathetic neuron development through distinct signaling mechanisms. Whereas NTF3 acts mostly locally, NGF signal is retrogradely transported from axons to cell bodies. We discovered that both NGF and NTF3 affect transcription and alternative polyadenylation in the nucleus and induce the localization of specific 3' UTR isoforms to axons, including short 3' UTR isoforms found exclusively in axons. The integration of our data with CLIP sequencing data supports a model whereby long 3' UTR isoforms associate with RBP complexes in the nucleus and, upon reaching the axons, are remodeled locally into shorter isoforms. Our findings shed new light into the complex relationship between nuclear polyadenylation, mRNA localization, and local 3' UTR remodeling in developing neurons.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".