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Record W4414066839 · doi:10.1080/09537104.2025.2555197

Talin autoinhibition is required for normal hemostasis

2025· article· en· W4414066839 on OpenAlexafffund
Bhavya Venkatesh, Kalyan Golla, Felix T. Hong, Amanda Haage, Hugh Kim, Guy Tanentzapf

Bibliographic record

VenuePlatelets · 2025
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsIntegrinFocal adhesionClot retractionPlateletExtracellular matrixPlatelet adhesivenessPlatelet activationHemostasisCell adhesion

Abstract

fetched live from OpenAlex

The integrin family of extracellular matrix (ECM) adhesion receptors plays a central role in platelet function, including adhesion and aggregation. In resting platelets, integrins exist in a low-affinity state for their ligands, and are activated upon ligand binding to the extracellular domain or binding of cytoplasmic proteins such as talin to the intracellular β-tail. Talin function is regulated through autoinhibition, which reduces its integrin-activating function. A point mutation that blocks talin autoinhibition, Tln1E1770A, therefore increases integrin activation and disrupts cell migration in fibroblasts. Here, we show that talin autoinhibition also plays an important role during hemostasis. Tln1E1770A mutant mice display defective hemostasis when examined using a tail bleeding assay. Furthermore, platelets isolated from Tln1E1770A mice exhibit disrupted aggregation and delayed clot retraction, indicating a defect in integrin signaling. However, integrin activation was not increased in platelets with defective talin autoinhibition, suggesting a different role for talin in platelets, distinct from inside-out integrin signaling. Taken together, our data shows that talin autoinhibition is an important regulatory mechanism in platelets during hemostasis.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.019
GPT teacher head0.300
Teacher spread0.281 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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