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Record W2025738710 · doi:10.1002/dvdy.20069

Vertebrate <i>crossveinless 2</i> is secreted and acts as an extracellular modulator of the BMP signaling cascade

2004· article· en· W2025738710 on OpenAlexaff
Mika Kamimura, Ken Matsumoto, Kazuko Koshiba‐Takeuchi, Toshihiko Ogura

Bibliographic record

VenueDevelopmental Dynamics · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicTGF-β signaling in diseases
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsBiologyCell biologyExtracellularCascadeSignal transductionBone morphogenetic proteinGeneticsGeneChemistry

Abstract

fetched live from OpenAlex

In vertebrates and invertebrates, BMP/Dpp (Bone Morphogenetic Protein/Decapentaplegic) signaling regulates the orchestrated processes of embryogenesis. Recent studies have revealed that BMP/Dpp signaling is controlled extracellularly as well as intracellularly. One extracellular regulatory molecule is the Chordin/Short gastrulation protein (Chordin/Sog), a secreted protein that acts as an antagonist to BMP/Dpp. Chordin/Sog contains four cysteine-rich (CR) domains that bind to and inactivate BMP/Dpp. In contrast, a positive regulator has been identified in Drosophila. Named crossveinless 2 (cv-2), this molecule contains five CR domains at the N-terminal half and a von Willebrand factor D domain at the C-terminal part. Genetic data suggest that Cv-2 potentiates Dpp signaling. We isolated chick and mouse CV-2 genes and found that CV-2 is secreted and enhances BMP signaling. Expression patterns were closely related to those of BMPs, supporting the likelihood of a tight link. Our data show for the first time that CV-2 is a conserved, positive regulator of BMP signaling and that CR domain proteins act as both positive and negative modulators of BMP signaling.

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 score0.001
Threshold uncertainty score0.004

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)0.0010.001

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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

Citations39
Published2004
Admission routes1
Has abstractyes

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