Development and disease of the photoreceptor cilium
Bibliographic record
Abstract
Primary cilia are microtubule-rich hair-like extensions protruding from the surface of most post-mitotic cells. They act as sensory organelles that help interpret various environmental cues. Mutations in genes encoding proteins involved in ciliogenesis or protein transport to the primary cilia lead to a wide variety of diseases commonly referred to as ciliopathies,which include primary ciliary dyskinesia, situs invertus, hydrocephalus, kidney diseases, respiratory diseases, and retinal degenerations. In the retina, the photoreceptor cells have a highly specialized primary cilium called the outer segment (OS), which is essential for photosensation. Development of the photoreceptor OS shares key regulatory mechanisms with ciliogenesis in other cell types. Accumulating evidence indicates that mutations that affect OS development and/or protein transport to the OS generally lead to photoreceptor degeneration, which can be accompanied by a range of other clinical manifestations due to the dysfunction of primary cilia in different cell types. Here, we review the general mechanisms regulating ciliogenesis, and present different examples of mutations affecting OS ciliogenesis and protein transport that lead to photoreceptor degeneration. Overall, we conclude that the genetic and molecular evidence accumulated in recent years suggest a clear link between the development and function of the primary cilium and various clinical conditions. Future studies aimed at uncovering the cellular and molecular mechanisms implicated in ciliogenesis in a wide variety of animal models should greatly increase our understanding of the pathophysiology of many human diseases, including retinal degenerations.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".