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Record W2521962771 · doi:10.1182/blood.v108.11.193.193

Factor V Binding to Multimerin 1: Modulation by Factor V Activation and Binding Sites in the Factor V C1 and C2 Domains.

2006· article· en· W2521962771 on OpenAlexaff
Samira Jeimy, Mary Ann Quinn-Allen, Nola Fuller, Kenneth Segers, Alan R. Stafford, Jeffrey I. Weitz, Rodney M. Camire, Gerry A. F. Nicolaes, William H. Kane, Catherine P.M. Hayward

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsMcMaster University
Fundersnot available
KeywordsFactor VBinding sitePlasma protein bindingC2 domainBiophysicsFactor IXaChemistryFactor XTissue factorBinding domainProthrombinaseFactor HThrombinBiologyPlateletBiochemistryComplement systemCoagulationImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Platelets and endothelial cells store the polymeric factor V(a) binding protein, multimerin 1 (MMRN1), for release upon agonist stimulation. In human megakaryocytes, factor V binding to MMRN1 follows plasma factor V endocytosis, resulting in stored complexes of MMRN1 and factor V in platelet α-granules. The C2 domain of the factor V light chain contains a MMRN1 binding site; however, the affinity and stoichiometry of factor V-MMRN1 binding have not been determined, direct comparisons of factor V and Va binding to MMRN1 have not been done, and potential homologous roles of C1 and C2 domain structures in MMRN1 binding have not been studied. To further explore the mechanism of factor V and Va binding to MMRN1, and the roles of B domain release and C1 domain residues in MMRN1 binding, we used surface plasmon resonance and solid-phase binding studies. Functional consequences of factor V-MMRN1 binding were tested in competitive binding assays with the soluble phospholipid 1,2-Dicaproyl-sn-glycero-3-phospho-L-serine (C6PS), and calibrated automated thrombinography (CAT). Factor V bound to MMRN1 with a higher affinity than factor Va (approximately 2 nM versus 12 nM), and a stoichiometry consistent with binding to MMRN1 trimers. The higher affinity of factor V for MMRN1 was mainly due to differences in rates of formation of a more stable, secondary complex with MMRN1. Factor V activation by thrombin dissociated bound factor V from MMRN1, consistent with the reduced affinity of factor Va for MMRN1. A panel of point mutated, B domain deleted factor V constructs were used to identify MMRN1 binding residues in the C1 domain of factor V and Va. On a three dimensional model of factor Va, these residues mapped to a large, predominantly contiguous region between the C1 and C2 domains, that overlapped residues critical for factor Va phospholipid binding and procoagulant function. Consistent with the lowered affinity of factor Va for MMRN1, C6PS significantly inhibited factor Va-MMRN1, but not factor V-MMRN1 binding (p<0.05). Overlap between the MMRN1 and phospholipid binding sites was verified by CAT assays, as MMRN1 caused dose-dependent, significant reductions in plasma thrombin generation in these assays, by increasing lag time (p<0.01), and reducing peak (p<0.01) and total thrombin generation (p<0.01). Taken together, these data indicate that the functional homologies between the C domains of factor V extend to their MMRN1 binding sites. Moreover, thrombin has modulating effects on factor V-MMRN1 binding that mimic its effects on factor VIII-von Willebrand factor binding. The affinity of factor V-MMRN1 binding could be important to promote the association of MMRN1 with factor V in platelets, until factor V release and activation for prothrombinase assembly.

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 score0.003
Threshold uncertainty score0.009

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)0.0030.000

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 head0.027
GPT teacher head0.269
Teacher spread0.242 · 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

Citations0
Published2006
Admission routes1
Has abstractyes

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