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Record W2988566688 · doi:10.21203/rs.3.rs-671982/v1

Mitochondria Tether to Focal Adhesions During Cell Migration and Regulate Their Size.

2021· preprint· en· W2988566688 on OpenAlexafffund
Redaet Daniel, Patricia S. Bilodeau, Abebech Mengeta, Kimmy Yang, Jonathan M. Lee

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCell biologyMitochondrionFocal adhesionOrganelleMotilityCytoskeletonIntracellularCell migrationExtracellular matrixExtracellularCellActin cytoskeletonActinIntegrinBiologyChemistrySignal transductionBiochemistry

Abstract

fetched live from OpenAlex

Abstract Focal Adhesions (FA) couple the actin cytoskeleton to the extracellular matrix through transmembrane integrin receptors. FA assembly and disassembly regulate cell migration by controlling substrate interaction and the generation of intracellular contractile forces. Here we show that FA interact with mitochondria. Mitochondria are highly dynamic organelles that are now emerging as regulators of mammalian cell motility. We find that mitochondria infiltrate the leading edge of NIH3T3 fibroblasts during migration and tether to FA there. Importantly, we find that FA interacting with mitochondria are larger than those lacking mitochondrial interaction. In addition, inhibition of mitochondrial ATP generation reduces FA size and artificial tethering of FA to mitochondria concomitantly increases their size. Taken together this suggests that mitochondrial interaction with FA is a functional part of cell migration and adhesion.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.327
Teacher spread0.297 · 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.

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

Citations5
Published2021
Admission routes2
Has abstractyes

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