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Record W2169348208 · doi:10.1242/jcs.015883

The AAA-ATPase FIGL-1 controls mitotic progression, and its levels are regulated by the CUL-3MEL-26 E3 ligase in the<i>C. elegans</i>germ line

2007· article· en· W2169348208 on OpenAlexaff
Sarah Luke-Glaser, Lionel Pintard, Mike Tyers, Matthias Peter

Bibliographic record

VenueJournal of Cell Science · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsSinai Health SystemLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
Fundersnot available
KeywordsBiologyMitosisCell biologyUbiquitin ligaseAAA proteinsMicrotubuleCaenorhabditis elegansUbiquitinATPaseMeiosisProteasomeMolecular biologyGeneticsBiochemistryEnzymeGene

Abstract

fetched live from OpenAlex

Members of the AAA-ATPase (ATPases associated with diverse cellular activities) family use the energy from ATP hydrolysis to disrupt protein complexes involved in many cellular processes. Here, we report that FIGL-1 (Fidgetin-like 1), the single Caenorhabditis elegans homolog of mammalian fidgetin and fidgetin-like 1 AAA-ATPases, controls progression through mitosis in the germ line and the early embryo. Loss of figl-1 function leads to the accumulation of mitotic nuclei in the proliferative zone of the germ line, resulting in sterility owing to depletion of germ cells. Like the AAA-ATPase MEI-1 (also known as katanin), FIGL-1 interacts with microtubules and with MEL-26, a specificity factor of CUL-3-based E3 ligases involved in targeting proteins for ubiquitin-dependent degradation by the 26S proteasome. In the germ line, FIGL-1 is enriched in nuclei of mitotic cells, but it disappears at the transition into meiosis. Conversely, MEL-26 expression is low in nuclei of the mitotic zone and induced during meiosis. FIGL-1 accumulates in the germ line and spreads to the meiotic zone after inactivation of mel-26 or cul-3 in vivo. We conclude that degradation of FIGL-1 by the CUL-3MEL-26 E3 ligase spatially restricts FIGL-1 function to mitotic cells, where it is required for correct progression through mitosis.

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)0.004
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 score0.017
Threshold uncertainty score0.309

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.013
GPT teacher head0.276
Teacher spread0.263 · 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

Citations37
Published2007
Admission routes1
Has abstractyes

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