Identification of dendritic targeting signals of voltage-gated potassium channel 3
Bibliographic record
Abstract
Members of voltage-gated potassium channel subfamily 3 (Kv3) have been extensively demonstrated to play a significant role in facilitating function of "fast-firing" neurons in the central nervous system. Kv3.1 and Kv3.3 channels, members of Kv3 channel subfamily, have different distribution profiles on the regional level of brain and on the subcellular level of neurons in mammals and in weakly electric fish, according to mRNA hybridizations in situ and immunohistochemical analysis. In mammals, Kv3.1 channels are expressed in soma, axon and proximal dendrites as well as presynaptic membrane of "fast-firing" neurons. In weakly electric fish (Apteronotus), Kv3.1 channels are distributed in the soma, in the basilar dendrites and in the proximal apical dendrites of pyramidal neurons; on the other hand, Kv3.3 channels are expressed in a larger region: soma, basilar dendrites and entire apical dendrites of these cells. Mechanisms underlying differential subcellular distribution of Kv3.1 and Kv3.3 channels in the apical dendritic compartment of pyramidal neurons are unknown. In order to identify peptide sequences responsible for the differential subcellular localization, I have used Semliki Forest virus as a modified viral expression system (PDE) in vivo to study dendritic targeting mechanisms in the pyramidal neurons of electrosensory lateral line lobe (ELL), where the primary processing for afferent input occurs in the apteronotid electrosensory system.
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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".