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Record W2975228273 · doi:10.1002/jcp.29215

Focal adhesion kinase regulates tractional collagen remodeling, matrix metalloproteinase expression, and collagen structure, which in turn affects matrix‐induced signaling

2019· article· en· W2975228273 on OpenAlexafffund
Dhaarmini Rajshankar, Baiyu Wang, Elizabeth Worndl, Sara Lúcia Silveira de Menezes, Yongqiang Wang, Christopher A. McCulloch

Bibliographic record

VenueJournal of Cellular Physiology · 2019
Typearticle
Languageen
FieldMedicine
TopicCell Adhesion Molecules Research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsFocal adhesionExtracellular matrixType I collagenChemistryCell biologyIntegrinKinaseMatrix metalloproteinaseCollagen receptorMolecular biologySignal transductionPhosphorylationCellBiologyBiochemistryEndocrinology

Abstract

fetched live from OpenAlex

Abstract Focal adhesion kinase (FAK) is critical for collagen expression but its regulation of collagen remodeling is not defined. We examined the role of FAK in the degradation and reorganization of fibrillar collagen. Compared with wild‐type (WT) mouse embryonic fibroblasts, FAK null (FAK −/− ) fibroblasts generated twofold ( p < .0001) higher levels of ¾ collagen I fragment and expressed up to fivefold more membrane‐type matrix metalloproteinase (MMP). When plated on stiff collagen substrates, compared with WT, FAK −/− cells were smaller (threefold reduced cell surface area; p < .0001) and produced fivefold fewer cell extensions ( p < .0001) that were 40% shorter ( p < .001). When cultured on soft collagen gels (stiffness of ~100 Pa) for 6–48 hr, cell spreading and cell extension formation were reduced by greater than twofold ( p < .05 and p < .0001, respectively) while collagen compaction and alignment were reduced by approximately 30% ( p < .0001) in FAK −/− cells. Similar results were found after treatment with PF573228, a FAK inhibitor. Reconstitution of FAK −/− cells with FAK mutants showed that compared with WT, cell extension formation was reduced twofold ( p < .0001) in the absence of the kinase domain and sixfold ( p < .0001) with a Y397F mutant. Enhanced collagen degradation was exhibited by the mutants (~threefold increase; p < .0001 of ¾ collagen fragments without kinase domain or Y397F mutant; p < .01). Compared with FAK +/+ cells, matrices produced by FAK −/− cells generated higher levels of β 1 integrin activation ( p < 0.05), extracellular‐signal‐regulated kinase (ERK) phosphorylation, and production of ¾ collagen I fragment by human gingival fibroblasts. Collectively these data indicate that (a) the kinase activity of FAK enhances collagen remodeling by tractional forces but inhibits collagen degradation by MMPs; (b) FAK influences the biological activity of fibroblast‐secreted extracellular matrices, which in turn impacts β1 integrin and ERK signaling, and collagen degradation.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.014
GPT teacher head0.289
Teacher spread0.276 · 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.

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

Citations17
Published2019
Admission routes2
Has abstractyes

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