MétaCan
Menu
Back to cohort
Record W2019613190 · doi:10.1007/s12079-013-0205-7

CCN2: a mechanosignaling sensor modulating integrin-dependent connective tissue remodeling in fibroblasts?

2013· article· en· W2019613190 on OpenAlexaff
Andrew Leask

Bibliographic record

VenueJournal of Cell Communication and Signaling · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsWestern University
Fundersnot available
KeywordsIntegrinCell biologyFibronectinChemistryCollagen receptorFocal adhesionExtracellular matrixConnective tissueFibrosisCTGFSignal transductionGrowth factorBiologyPathologyBiochemistryMedicineReceptor

Abstract

fetched live from OpenAlex

Tensegrity (tensional integrity) is an emerging concept governing the structure of the body. Integrin-mediated mechanical tension is essential for connective tissue function in vivo. For example, in adult skin fibroblasts, the integrin β1 subunit mediates adhesion to collagen and fibronectin. Moreover, integrin β1, through its abilities to activate latent TGFβ1 and promote collagen production through focal adhesion kinase/rac1/nicotinamide adenine dinucleotide phosphate oxidase (NOX)/reactive oxygen species (ROS), is essential for dermal homeostasis, repair and fibrosis. The integrin β1-interacting protein CCN2, a member of the CCN family of proteins, is induced by TGFβ1; yet, CCN2 is not a simple downstream mediator of TGFβ1, but instead synergistically promote TGFβ1-induced adhesive signaling and fibrosis. Due to its selective ability to sense mechanical forces in the microenvironment, CCN2 may represent an exquisitely precise target for therapeutic intervention.

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 score0.006

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 communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
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 head0.017
GPT teacher head0.274
Teacher spread0.257 · 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

Citations4
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Cell Communication and SignalingSame topicConnective Tissue Growth Factor ResearchFrench-language works237,207