A Tripartite Nuclear Localization Signal in the PDZ-domain Protein L-periaxin
Bibliographic record
Abstract
The murine Periaxin gene encodes two PDZ-domain proteins in myelin-forming Schwann cells of the vertebrate peripheral nervous system (Dytrych, L., Sherman, D. L., Gillespie, C. S., and Brophy, P. J. (1998) J. Biol. Chem. 273, 5794-5800). Here we show that L-periaxin is targeted to the nucleus of embryonic Schwann cells. Subsequently, the protein redistributes to the plasma membrane processes of the myelinating Schwann cell where it is believed to function in a signaling complex. In contrast, L-periaxin remains in the nucleus when expressed ectopically in oligodendrocytes, the myelin-forming glia of the central nervous system. The nuclear localization signal (NLS) is basic and tripartite and comprises three signals that act synergistically. Nuclear targeting of L-periaxin is energy-dependent and is inhibited by cell-cell contact. These data show that L-periaxin is a member of a growing family of proteins that can shuttle between the nucleus and cortical signaling/adherence complexes.
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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".