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The Kinesin Motor Protein Cut7 Regulates Biogenesis and Function of Ago1‐Complexes

2009· article· en· W1997612057 on OpenAlexafffund
Cezar Stoica, Jungsook Park, Justin M. Pare, Steven Willows, Tom C. Hobman

Bibliographic record

VenueTraffic · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsArgonauteBiologyKinesinGene silencingCell biologyRasiRNAMicrotubuleCytoplasmRNA-binding proteinRibonucleoproteinBiogenesisMotor proteinSmall interfering RNAGeneGeneticsRNA

Abstract

fetched live from OpenAlex

Argonaute proteins are the effectors of small RNA-dependent gene-silencing pathways. In the cytoplasm, they are incorporated into large mobile ribonucleoprotein (RNP) complexes that travel along microtubules. We used a genetic screen to identify the microtubule-associated motor that interacts with Ago1-containing RNPs. Here, we report that activity of the kinesin family member Cut7 is important for biogenesis and/or stability of Ago1-containing RNPs in the cytoplasm. Results from pulldown and coimmunoprecipitation assays indicate that Cut7 interacts with Ago1 as well as its two cognate binding proteins, Dcr1 and Rdp1. Loss of Cut7 activity was associated with increased levels of reverse centromeric transcripts, presumably because of a defect in post-transcriptional gene silencing. Overexpression of the Ago1-binding region of Cut7 resulted in loss of microscopic Ago1-containing RNPs. Together, these results suggest that microtubule motor proteins function in the biogenesis and function of gene-silencing machinery in the cytoplasm.

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 score0.033
Threshold uncertainty score0.267

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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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

Citations11
Published2009
Admission routes2
Has abstractyes

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