Actin-dependent regulation of cilia length by the inverted formin FHDC1
Bibliographic record
Abstract
A primary cilium is found on most mammalian cells, where it acts as a cellular antenna for the reception of both mechanical and chemical signals. A variety of diseases are associated with defective ciliogenesis, reflecting the ubiquity of the function of cilia and the number of proteins required for their assembly. Proper cilia length is necessary for cilia signaling and is regulated through a poorly understood balance of assembly and disassembly rates. FHDC1 is a unique member of the formin family of cytoskeletal regulatory proteins. Overexpression of FHDC1 induces F-actin accumulation and microtubule stabilization and acetylation. We find that overexpression of FHDC1 also has profound effects on ciliogenesis; in most cells FHDC1 overexpression blocks cilia assembly, but the cilia that are present are immensely elongated. FHDC1-induced cilia growth requires the FHDC1 FH2 and microtubule-binding domain and results from F-actin-dependent inhibition of cilia disassembly. FHDC1 depletion, or treatment with a pan-formin inhibitor, inhibits cilia assembly and induces cilia resorption. Endogenous FHDC1 protein localizes to cytoplasmic microtubules converging on the base of the cilia, and we identify the subdistal appendage protein Cep170 as an FHDC1 interacting protein. Our results suggest that FHDC1 plays a role in coordinating cytoskeletal dynamics during normal cilia assembly.
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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) | 0.000 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".