2017
DOI: 10.1038/s41598-017-17177-5
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Three-dimensional organotypic matrices from alternative collagen sources as pre-clinical models for cell biology

Abstract: Organotypic co-cultures bridge the gap between standard two-dimensional culture and mouse models. Such assays increase the fidelity of pre-clinical studies, to better inform lead compound development and address the increasing attrition rates of lead compounds within the pharmaceutical industry, which are often a result of screening in less faithful two-dimensional models. Using large-scale acid-extraction techniques, we demonstrate a step-by-step process to isolate collagen I from commercially available anima… Show more

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Cited by 24 publications
(36 citation statements)
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“…This allows for a quantitative morphometric analysis of the collagen fibres where the polarised colours reflect fibre thickness and packing (Figure G [top]). This approach has been applied by us and many other groups to look at collagen fibre remodelling in organotypic studies as well as in normal and diseased tissues . Finally, second harmonic generation (SHG) imaging is a label‐free imaging technique that allows imaging of noncentrosymmetric entities such as collagen fibres.…”
Section: Methodsmentioning
confidence: 99%
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“…This allows for a quantitative morphometric analysis of the collagen fibres where the polarised colours reflect fibre thickness and packing (Figure G [top]). This approach has been applied by us and many other groups to look at collagen fibre remodelling in organotypic studies as well as in normal and diseased tissues . Finally, second harmonic generation (SHG) imaging is a label‐free imaging technique that allows imaging of noncentrosymmetric entities such as collagen fibres.…”
Section: Methodsmentioning
confidence: 99%
“…This approach allows for high resolution imaging of collagen fibres. Using SHG‐generated images, orientation of collagen fibres can be assessed (Figure G [bottom]) . In addition, collagen fibre network organization can also be characterised using grey‐level co‐occurrence matrix (GLCM) analysis .…”
Section: Methodsmentioning
confidence: 99%
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