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Record W7052617833

Role of transglutaminase enzymes in osteoblast differentiation and matrix deposition

2012· dissertation· en· W7052617833 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueeScholarship@McGill (McGill) · 2012
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
FundersCanadian Arthritis NetworkNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchNational Institute of Dental and Craniofacial ResearchUniversity of Texas MD Anderson Cancer CenterShriners Hospitals for ChildrenFaculty of Medicine, McGill UniversityMcGill University
KeywordsTissue transglutaminaseOsteoblastExtracellular matrixFibronectinFactor XIIIaType I collagenCellular differentiationMatrix (chemical analysis)
DOInot available

Abstract

fetched live from OpenAlex

Bone formation is an osteoblast-mediated process that is controlled by systemic factors such as hormones, growth factors and local cues that arise from the extracellular matrix (ECM). Bone ECM is elaborated by osteoblasts and therefore they can control their own activity. The ultimate goal of bone matrix formation is to elaborate an extracellular network, consisting mainly of fibronectin and collagen type I, that is capable of mineralizing and forming a strong tissue with appropriate tensile and elastic properties. This thesis describes studies that link transglutaminases (TGs), the protein cross-linking enzymes to type I collagen matrix deposition, osteoblast differentiation and bone formation. Findings here show that MC3T3-E1 osteoblasts require TG-activity for differentiation and proper production of collagenous matrices. We also show that osteoblasts produce two transglutaminase enzymes, transglutaminase 2 (TG2) and Factor XIIIA (FXIIIA), which are both expressed during osteoblast differentiation. The work further defines the roles of the two TGs in osteoblasts and shows that FXIIIA is the main TG-enzyme with transamidating activity in osteoblasts' ECM. Production of FXIIIA is induced during osteoblast differentiation and is externalized to the cell surface, then secreted to the ECM. TG2 was mainly found on the cell surface of osteoblasts with no transamidating activity; however, it is co-localized with FXIIIA on the cell surface. Studies conducted with chemical inhibitors, TG-substrates and activity probes suggest that TG-activity is required for osteoblast differentiation at three different levels. First, by positively affecting microtubule dynamics, delivery and fusion of secretory vesicles carrying cellular collagen type I to the plasma membrane. Second, by promoting fibronectin matrix deposition and collagen type I secretion. And third, by stabilizing the interaction between fibronectin and collagen type I in the ECM. Furthermore, we demonstrated that tubulin and fibronectin are candidate substrates for FXIIIA in osteoblasts. In summary, our studies are the first to describe FXIIIA transglutaminase expression in osteoblasts in vitro and in vivo, and first to link it to collagen secretion and osteoblast differentiation. Furthermore, these studies were the first to suggest a role for cellular FXIIIA in microtubule dynamics. We conclude that transglutaminase activity arising from FXIIIA can regulate osteoblast differentiation affecting extracellular matrix deposition.

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.

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)0.000
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 score0.320
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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