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Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model
Connective tissues such as tendon, ligament and skin are biological fibre composites comprising collagen fibrils reinforcing the weak proteoglycan-rich ground substance in extracellular matrix (ECM). One of the hallmarks of ageing of connective tissues is the progressive and irreversible change in t...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057439/ https://www.ncbi.nlm.nih.gov/pubmed/30040080 http://dx.doi.org/10.1038/sdata.2018.140 |
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author | Goh, Kheng Lim Holmes, David F. Lu, Yin Hui Kadler, Karl E. Purslow, Peter P. |
author_facet | Goh, Kheng Lim Holmes, David F. Lu, Yin Hui Kadler, Karl E. Purslow, Peter P. |
author_sort | Goh, Kheng Lim |
collection | PubMed |
description | Connective tissues such as tendon, ligament and skin are biological fibre composites comprising collagen fibrils reinforcing the weak proteoglycan-rich ground substance in extracellular matrix (ECM). One of the hallmarks of ageing of connective tissues is the progressive and irreversible change in the tissue mechanical properties; this is often attributed to the underlying changes to the collagen fibril structure. This dataset represents a comprehensive screen of the mechanical properties and collagen fibril structure of tendon from the tails of young to old (i.e. 1.6–35.3 month-old) C57BL6/B mice. The mechanical portion consists of the load-displacement data, as well as the derived tensile properties; the structure data consists of transmission electron micrographs of collagen fibril cross section, as well as the derived cross-sectional parameters. This dataset will allow other researchers to develop and demonstrate the utility of innovative multiscale models and approaches of the extra-cellular and physiological events of ageing of current interest to ageing research, by reducing the current reliance on conducting new mammalian experiments. |
format | Online Article Text |
id | pubmed-6057439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-60574392018-07-27 Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model Goh, Kheng Lim Holmes, David F. Lu, Yin Hui Kadler, Karl E. Purslow, Peter P. Sci Data Data Descriptor Connective tissues such as tendon, ligament and skin are biological fibre composites comprising collagen fibrils reinforcing the weak proteoglycan-rich ground substance in extracellular matrix (ECM). One of the hallmarks of ageing of connective tissues is the progressive and irreversible change in the tissue mechanical properties; this is often attributed to the underlying changes to the collagen fibril structure. This dataset represents a comprehensive screen of the mechanical properties and collagen fibril structure of tendon from the tails of young to old (i.e. 1.6–35.3 month-old) C57BL6/B mice. The mechanical portion consists of the load-displacement data, as well as the derived tensile properties; the structure data consists of transmission electron micrographs of collagen fibril cross section, as well as the derived cross-sectional parameters. This dataset will allow other researchers to develop and demonstrate the utility of innovative multiscale models and approaches of the extra-cellular and physiological events of ageing of current interest to ageing research, by reducing the current reliance on conducting new mammalian experiments. Nature Publishing Group 2018-07-24 /pmc/articles/PMC6057439/ /pubmed/30040080 http://dx.doi.org/10.1038/sdata.2018.140 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Goh, Kheng Lim Holmes, David F. Lu, Yin Hui Kadler, Karl E. Purslow, Peter P. Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title | Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title_full | Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title_fullStr | Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title_full_unstemmed | Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title_short | Age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
title_sort | age-related dataset on the mechanical properties and collagen fibril structure of tendons from a murine model |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6057439/ https://www.ncbi.nlm.nih.gov/pubmed/30040080 http://dx.doi.org/10.1038/sdata.2018.140 |
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