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Discoidin Domain Receptor 1 Controls Growth and Adhesion of Mesangial Cells

2002· article· en· W2144309492 on OpenAlexaff
Cyrile Anne Curat, Wolfgang F. Vogel

Bibliographic record

VenueJournal of the American Society of Nephrology · 2002
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDDR1Discoidin domainMesangial cellTyrosine phosphorylationCell biologyCollagen receptorChemistryTyrosine kinaseReceptor tyrosine kinaseIntegrinCell growthBiologyPhosphorylationReceptorInternal medicineMolecular biologyEndocrinologySignal transductionKidneyBiochemistryMedicine

Abstract

fetched live from OpenAlex

Various types of collagen are known as modulators of mesangial cell proliferation. Here the function of the collagen-binding tyrosine kinase receptor discoidin domain receptor 1 (DDR1) in mesangial cells is investigated. The expression of DDR1 in the mouse kidney is confirmed by Northern analysis. In primary mesangial cells isolated from wild-type and DDR1-null mice, tyrosine phosphorylation in response to collagen-stimulation, adhesion to collagen, and cellular proliferation were measured. DDR1 phosphorylation was induced after overnight incubation of cells with type I collagen. Compared with wild-type cells, the adhesion of DDR1-null cells was drastically reduced. In contrast, DDR1-knockout cells showed significantly enhanced proliferation compared with wild-type cells. Both effects were largely independent of the collagen-binding alpha1/beta1 integrin function. This study found that the increased proliferation rate of DDR1-null cells is caused by a constitutive upregulation of p42/p44 and p38 mitogen-activated protein kinases (MAPK) activity. This is the first evidence indicating that DDR1 could be involved in the proliferative stage of renal disorders.

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 score0.003

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)0.0010.000

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 head0.276
Teacher spread0.259 · 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

Citations116
Published2002
Admission routes1
Has abstractyes

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Same venueJournal of the American Society of NephrologySame topicCell Adhesion Molecules ResearchFrench-language works237,207