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Interaction of Multimerin 1 with Collagens: Role in Platelet Adhesion

2011· article· en· W2562958684 on OpenAlexaff
Subia Tasneem, M. Pawlikowska, Dominique Bihan, Richard W. Farndale, Catherine P.M. Hayward

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicPlatelet Disorders and Treatments
Canadian institutionsHamilton Regional Laboratory Medicine ProgramMcMaster University
Fundersnot available
KeywordsPlateletAdhesionVon Willebrand factorExtracellular matrixChemistryPlatelet adhesivenessEx vivoIn vivoCollagen receptorCell adhesionType I collagenPlatelet activationMolecular biologyIntegrinIn vitroBiochemistryImmunologyCell biologyBiologyEndocrinologyCell

Abstract

fetched live from OpenAlex

Abstract Abstract 2207 Multimerin 1 (MMRN1) is a large, homopolymeric adhesive protein stored in platelets and endothelium that binds to activated platelets, endothelial cells and the extracellular matrix after agonist stimulation. MMRN1 supports platelet adhesion by von Willebrand factor (VWF) dependent and independent mechanisms, and also increases platelet adhesion to Horm collagen. Mice deficient in Mmrn1/Snca (α-synuclein) showed defective platelet adhesion to collagen in vitro and in vivo which was corrected by MMRN1. The ability of MMRN1 to support platelet adhesion in vivo and enhance platelet adhesion to collagen ex vivo, led us to explore the molecular basis of MMRN1 interactions with collagen. Solid phase binding assays were used to test MMRN1 binding to human fibril forming collagen (types I, II, III and V) and to types IV and VI collagen. Binding assays were also used to map the MMRN1 binding sites on collagen using collagen peptide toolkits III and II (which has significant similarity to type I collagen). Static adhesion assays were used to test selected collagen peptides for platelet adhesion. Platelet adhesion assays at high shear rates 1500s−1, were used to test the adhesion of washed platelets from normal and VWF-deficient subjects to type I collagen pre-treated or in fluid phase with: BSA (negative control), MMRN1, VWF or their combination. Human collagens types I, II, III and VI (p-values <0.001) but not types IV or V (p-values = 0.84 and 0.09, respectively) supported MMRN1 binding. Peptide toolkits binding studies indicated that MMRN1 bound to a single site on collagen III (peptide III-38) and to two sites on collagen II, with peptide II-9 showing much stronger binding than peptide II-44. Like the VWF binding peptide III-23 (which did not overlap the MMRN1 binding site), peptide III-38 supported platelet adhesion in combination with GFOGER, the peptide with high affinity for platelet α2β1. The possibility that MMRN1 binds to collagen at sites distinct from VWF was supported by the observations that pre-treatment of collagen I matrices, with the combination of MMRN1 and VWF, increased platelet adhesion more than MMRN1 or VWF alone (p-values< 0.001). Moreover, adhesion deficit of VWF-deficient platelets on collagen type I matrix pre-treated with a combination of MMRN1 and VWF was corrected by adding fluid phase VWF but not MMRN1 (p-values < 0.0001). Taken together, our data indicates that MMRN1 binds to different forms of human collagen that support platelet adhesion. As MMRN1 binds to sites on collagen distinct from VWF or integrin α2β1, it may be important for maximizing platelet adhesion at sites of vascular injury. Disclosures: No relevant conflicts of interest to declare.

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 score0.007

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)0.0020.000

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 head0.019
GPT teacher head0.243
Teacher spread0.224 · 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
Published2011
Admission routes1
Has abstractyes

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