Beyond the Secretory Pathway: New Insights Into Protein Release
Bibliographic record
Abstract
In eukaryotes, protein secretion plays essential roles in intercellular communications and extracellular niche-building. Protein secretion generally requires a signal sequence that targets cargos to the canonical secretory pathway consisting of the endoplasmic reticulum (ER), the Golgi apparatus, plasma membrane, and vesicles moving between these compartments. However, cytoplasmic proteins lacking signal sequences (e.g., IL1β, Acb1, FGF2) have been detected, and many have defined functions in the extracellular space, suggesting unconventional protein secretion (UcPS) via alternative pathways. In recent years, scientists have uncovered many new UcPS paradigms, reporting a plethora of mechanisms that collectively form a new field. The inaugural Cold Spring Harbor Asia (CSHA) conference on "Molecular Mechanisms and Physiology of Unconventional Secretion" is the first meeting to bring these researchers together, providing a collegial platform for information sharing at this exciting frontier of cell biology research.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".