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Record W1994604361 · doi:10.1042/bj20130642

Collagen XXII binds to collagen-binding integrins via the novel motifs GLQGER and GFKGER

2014· article· en· W1994604361 on OpenAlexaff
Daniela Zwolanek, Guido Veit, Johannes A. Eble, Donald Gullberg, Florence Ruggiero, Jyrki Heino, Markus Meier, Jörg Stetefeld, Manuel Koch

Bibliographic record

VenueBiochemical Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIntegrinCollagen receptorRGD motifBinding siteChemistrySurface plasmon resonanceDisintegrinCell biologyReceptorBiologyBiochemistryMaterials scienceNanotechnologyMetalloproteinaseMatrix metalloproteinase

Abstract

fetched live from OpenAlex

Collagen XXII, a FACIT (fibril-associated collagen with interrupted triple helices), is expressed at the myotendinous junction and the articular surface of joint cartilage. Cellular receptors like collagen-binding integrins are known to bind collagens with distinct binding motifs following the sequence GXOGER. In the present study, we demonstrate the sequences GLQGER and GFKGER as novel binding motifs between collagen XXII and collagen-binding integrins, especially α2β1 integrin. Solid-phase assays and surface plasmon resonance spectroscopy revealed a direct interaction between α2β1 integrin and the motif GFKGER. In addition, immunohistochemical analysis demonstrated partial co-localization of collagen XXII, α2β1 integrin and α11β1 integrin at the myotendinous junction. Furthermore, computational modelling of the motifs GLQGER and GFKGER showed perfect fitting of the sequences into the binding pocket of collagen-binding integrins. Taken together, we demonstrated that collagen XXII interacts with collagen-binding integrins via the new motifs GLQGER and GFKGER.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.075
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.020
GPT teacher head0.294
Teacher spread0.274 · 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 teacher head, 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

Citations29
Published2014
Admission routes1
Has abstractyes

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