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Record W1938624081 · doi:10.1186/2046-2530-4-s1-p33

Effects of the novel formin INF1 on ciliogenesis

2015· article· en· W1938624081 on OpenAlexaff
Sarah J. Copeland, C Tenneson, Wojciech A. Kulacz, J. Copeland

Bibliographic record

VenueCilia · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and Kidney Cyst Diseases
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCiliogenesisBiologyForminsCell biologyEvolutionary biologyComputational biologyNeuroscienceGeneticsCellCilium

Abstract

fetched live from OpenAlex

INF1 is a novel member of the formin family of cytoskeletal regulatory proteins. We previously identified a connection between INF1 expression and microtubule acetylation and more recently have found that INF1 expression induces Golgi dispersion. Given the dependence of ciliogenesis on microtubule acetylation and Golgi-dependent trafficking we wished to determine the effects of INF1 expression on cilia formation. Transient transfection was used to express a series of INF1 derivative in NIH 3T3 cells and the effects on cilia formation, cilia length and Golgi dispersion were monitored by immunofluorescence. Anti-acetylated tubulin was used to visualize cilia and anti-Giantin was used to visualize Golgi morphology. INF1 expression inhibited ciliogenesis in the majority of NIH 3T3 fibroblasts, however, inhibition of ciliogenesis was not connected to INF1-induced Golgi dispersion. A minority of INF1-expressing cells did form cilia and these were greatly elongated, the longest exceeding 70mm. A series of INF1 deletion derivatives were used to show that both inhibition of cilia formation and the induction of cilia elongation were dependent upon both the FH2 and microtubule-binding domains of INF1. The effects of INF1 expression on ciliogenesis were separate from its effects on Golgi-dispersion suggesting that Golgi untethering does not always inhibit ciliogenesis. The morphology of the elongated cilia formed in INF1 expressing cells is consistent with defects in dynein function.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.038
Threshold uncertainty score0.220

Codex and Gemma teacher scores by category

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.219
Teacher spread0.209 · 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 teacher head, 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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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