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Record W4397046355 · doi:10.1681/asn.20223311s1405b

Planar Cell Polarity Effector Fuzzy in Actin Regulation and Ciliogenesis

2022· article· en· W4397046355 on OpenAlexaff
Rita K. Kalot, Sima Babayeva, Elena Torban

Bibliographic record

VenueJournal of the American Society of Nephrology · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsCiliogenesisEffectorCell biologyPlanarPolarity (international relations)ActinCellChemistryBiologyCiliumComputer scienceGenetics

Abstract

fetched live from OpenAlex

Background: Ciliopathies are disorders caused by mutations in the genes controlling cilia assembly and function. Clinical characteristics of ciliopathies include multi-organ syndromes or organ-specific anomalies, including small and/or cystic kidneys. Planar cell polarity (PCP) effector proteins are major regulators of ciliogenesis since defects in either Fuzzy, Wdpcp, or Inturned cause abnormal cilia formation and pleiotropic syndromes. In vertebrates, PCP effectors recruit important ciliary proteins to the ciliary base. Our recent data indicate that Fuzzy interacts with p190A (ArhGap35), a RhoA GAP that suppresses actin polymerization at the ciliary base, and recruits it to the base of the primary cilium, indicating a potential role of Fuzzy and other PCP effectors in actin regulation at the base of the cilium. Therefore, we aim to understand the role of PCP effector-mediated actin regulation in ciliogenesis and ciliopathies. Methods: Ciliation in mouse embryonic fibroblasts (MEF) was assessed by immunofluorescence. Fuzzy-p190A interaction was identified by co-immunoprecipitation. Co-localization of Fuzzy and p190A at the basal body was visualized by Immunofluorescence in Fuzzy-/- and control cells. RhoA activity was assessed by Rhotekin G protein-binding domain-eGFP biosensor in mutant and control cells. Cilia rescue experiments were done using RhoA kinase inhibitors in Fuzzy mutant MEFs and mouse kidney explants. Results: Knockout of Fuzzy drastically reduces cilia formation in MEFs, however, ciliogenesis in the mutant MEFs and embryonic kidney explants was rescued by ROCK inhibitors. Fuzzy recruits p190A to the ciliary base, where the latter likely prevents excessive actin polymerization and promotes ciliogenesis. Indeed, we detected excessive activation of RhoA (regulator of actin polymerization) at the basal body in Fuzzy-/- MEFs and excessive polymerization in the Fuzzy-/- kidney tissues. Conclusions: Overall, this study has established the link between Fuzzy and major actin regulator p190A during ciliogenesis. This suggests that Fuzzy regulates actin polymerization at the basal body and thereby may control ciliary trafficking. Identifying additional actin-regulating components downstream of PCP effectors at the ciliary base may help identify novel potential drug targets for the treatment of ciliopathies. Funding: Government Support - Non-U.S.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.007
GPT teacher head0.233
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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