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Data · dataset · 2025

Data Summary for "Image-Guided Bioprinting of Vascular Matrix Mimetic Hydrogels"

Listed in Teesside University Research Data Repository

This folder contains several Excel files presenting quantified data from mechano-structural characterizations comparing hypertensive and normotensive arteries as well as cellular responses to these mechano-structural environments.

Description

The datasets include: 1. Layer-specific arterial stiffness measured by atomic force microscopy (AFM). 2.

Extracellular matrix (ECM) composition and architecture, focusing on collagen and elastin area percentage in the two medial layers (M1 and M2). 3. Pulmonary artery smooth muscle cell behavior, including cell area, focal adhesion molecule expression, and quantified drug responsiveness in artery-mimetic microstructures fabricated via 3D bioprinting. Detailed measurement and imaging data on (a) mechano-structural changes in arterial ECM associated with hypertension and (b) optimization of the 3D bioprinting process used to replicate artery-mimetic architectures are in separate datasets.

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In addition to hypertensive-specific comparisons, one Excel file includes layer-specific measurements of pulmonary arteries, carotid arteries, and aortas from calves. This dataset illustrates variations in arterial stiffness, collagen and elastin content, and their ratios across different artery types from slaughtered cattle and young calves. The folder also contains a README file outlining the study goals, key findings and explanations of variables and values.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Imaging 75% · Microscopy 75%
Provenance · 1 source records, 8 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/vw3f2ndk47.110 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:imagingenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:microscopyenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
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