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Record W2085721499 · doi:10.1139/o03-069

The role of connective tissue growth factor, a multifunctional matricellular protein, in fibroblast biology

2003· review· en· W2085721499 on OpenAlexvenueno aff
Andrew Leask, David Abraham

Bibliographic record

VenueBiochemistry and Cell Biology · 2003
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicConnective Tissue Growth Factor Research
Canadian institutionsnot available
Fundersnot available
KeywordsCTGFMatricellular proteinGrowth factorConnective tissueCYR61BiologyFibrosisCell biologyTransforming growth factorSignal transductionTransforming growth factor betaExtracellular matrixCancer researchPathologyMedicineGenetics

Abstract

fetched live from OpenAlex

Connective tissue growth factor (CTGF, CCN2), a member of the CCN family of proteins, is a cysteine-rich proadhesive matricellular protein that plays an essential role in the formation of blood vessels, bone, and connective tissue. As expression of this protein is potently induced by transforming growth factor-beta (TGFbeta), it has been hypothesized that CTGF mediates several of the downstream actions of TGFbeta. In particular, CTGF is profibrotic, as CTGF is overexpressed in fibrotic disease and synergizes with TGFbeta to promote sustained fibrosis in vivo. Over the last several years, key data regarding the developmental role and structure and function relationship of CTGF have emerged. In addition, increased information concerning the mechanisms underlying the control of CTGF expression in normal and fibrotic cells and the signal transduction pathways through which CTGF acts on cells has been uncovered. This review summarizes the current state of knowledge regarding CTGF biology.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.002

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations257
Published2003
Admission routes1
Has abstractyes

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