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Record W7132945715

The Role of the Discoidin Domain Receptor-1 (DDR1) in Vascular Smooth Muscle Cell (VSMC) Mechanosensing

2021· dissertation· W7132945715 on OpenAlexaff
David Ngai

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular Mechanics and Interactions
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDDR1RHOAMechanotransductionDiscoidin domainVascular smooth muscleExtracellular matrixCalcium in biologyReceptor
DOInot available

Abstract

fetched live from OpenAlex

Mechanotransduction is the process by which extracellular physical cues are converted into intracellular biochemical responses. The stiffness of the matrix influences numerous processes such as cell differentiation, cell migration, fibrosis, and tumorigenesis. Stiffness is sensed by matrix-binding receptors and transmitted through the cytoskeleton by actomyosin contractility. The work presented in this thesis identifies how Discoidin Domain Receptor-1 (DDR1) mediates stiffness sensing and how this influences vascular smooth muscle cell (VSMC) calcification. In the first study, experiments in primary murine Ddr1+/+ or Ddr1-/- VSMCs revealed that DDR1 promotes VSMC calcification in a stiffness-dependent manner by a positive feedback loop between DDR1 and actomyosin contractility. Increased matrix stiffness promoted increased nuclear RUNX2 levels, increased DDR1 activation and expression, increased Vav2-RhoA activity, and increased stress fibre formation in Ddr1+/+ but not Ddr1-/- VSMCs. RhoA activation increased DDR1 expression and activity independent of ligand, whereas inhibition of RhoA and actomyosin contractility were inhibitory. RUNX2 activity and expression, and VSMC calcification were increased by actomyosin contractility. The second study shows that regulation of stiffness-sensitive genes is mediated by a DDR1-YAP/TAZ nuclear complex. Ddr1-/- VSMCs had reduced nuclear YAP/TAZ, and loss of YAP/TAZ resulted in decreased DDR1 expression. DDR1 activation and increased substrate stiffness promoted DDR1 and YAP/TAZ nuclear localization. DDR1 and YAP/TAZ nuclear translocation were dependent on actomyosin contractility and caveolae. Increased stiffness, collagen stimulation, and RhoA activation all promoted DDR1 and YAP/TAZ localization to the chromatin. Collagen stimulation and RhoA activation stimulated the formation of a DDR1-YAP/TAZ-RNA polymerase II nuclear complex. Finally, DDR1 was found to localize to the promoters of Ddr1 and the canonical YAP/TAZ target gene Ctgf. In summary, these studies show a key role for DDR1 as a stiffness sensor in vascular smooth muscle cells to influence vascular pathologies like vascular calcification. DDR1 can mediate mechanosignaling via a positive feedback loop between DDR1 and actomyosin contractility, and through direct regulation of mechanosensitive genes like Ddr1 itself by a nuclear DDR1-YAP/TAZ complex. This research highlights the role of matrix stiffness in promoting vascular calcification, but also uncovers novel downstream pathways by which DDR1 mechanosignaling occurs at the membrane and in the nucleus.

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 score0.000
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)0.0000.000

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 head0.005
GPT teacher head0.248
Teacher spread0.243 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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