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Record W4415288870 · doi:10.1016/j.ceb.2025.102593

Actin cytoskeleton protection by the formin-mediated safety valve

2025· review· en· W4415288870 on OpenAlexafffund
Fernando R. Valencia, Sergey V. Plotnikov

Bibliographic record

VenueCurrent Opinion in Cell Biology · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchNational Institutes of Health
KeywordsMechanotransductionCytoskeletonActinActin cytoskeletonFunction (biology)Mechanosensitive channelsSignallingCellFormins

Abstract

fetched live from OpenAlex

Mechanical forces shape cellular form and function by regulating key cellular processes; however, when dysregulated, they contribute to disease. Excessive forces can be detrimental to cells, damaging cytoskeleton, deforming nuclei, and even rupturing the cell itself. To counteract these effects, cells deploy protective mechanisms that enhance mechanical resilience. Emerging evidence highlights a novel strategy for rapid tension release via force-dependent actin polymerization mediated by formin-family proteins such as Dia1. Acting as a mechanical "safety valve", Dia1 buffers otherwise damaging stress and promotes zyxin-mediated repair, preserving cytoskeletal architecture, safeguarding the nucleus, and maintaining cellular integrity. Loss of Dia1 disrupts signaling cascades that converge on key mechanotransduction processes governing cell fate and disease progression. In this review, we explore recent advances in force-dependent actin polymerization and its role in cytoskeletal protection, nuclear homeostasis, and cellular adaptation to mechanical forces.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.003

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 head0.045
GPT teacher head0.360
Teacher spread0.315 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2025
Admission routes2
Has abstractyes

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