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A comparison of the stem cell characteristics of murine tenocytes and tendon-derived stem cells

Overview of attention for article published in BMC Musculoskeletal Disorders, April 2018
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Title
A comparison of the stem cell characteristics of murine tenocytes and tendon-derived stem cells
Published in
BMC Musculoskeletal Disorders, April 2018
DOI 10.1186/s12891-018-2038-2
Pubmed ID
Authors

Katie Joanna Lee, Peter David Clegg, Eithne Josephine Comerford, Elizabeth Gail Canty-Laird

Abstract

Tendon is a commonly injured soft musculoskeletal tissue, however, poor healing potential and ineffective treatment strategies result in persistent injuries and tissue that is unable to perform its normal physiological function. The identification of a stem cell population within tendon tissue holds therapeutic potential for treatment of tendon injuries. This study aimed, for the first time, to characterise and compare tenocyte and tendon-derived stem cell (TDSC) populations in murine tendon. Tenocytes and TDSCs were isolated from murine tail tendon. The cells were characterised for morphology, clonogenicity, proliferation, stem cell and tenogenic marker expression and multipotency. TDSCs demonstrated a rounded morphology, compared with a more fibroblastic morphology for tenocytes. Tenocytes had greater clonogenic potential and a smaller population doubling time compared with TDSCs. Stem cell and early tenogenic markers were more highly expressed in TDSCs, whereas late tenogenic markers were more highly expressed in tenocytes. Multipotency was increased in TDSCs with the presence of adipogenic differentiation which was absent in tenocytes. The differences in morphology, clonogenicity, stem cell marker expression and multipotency observed between tenocytes and TDSCs indicate that at least two cell populations are present in murine tail tendon. Determination of the most effective cell population for tendon repair is required in future studies, which in turn may aid in tendon repair strategies.

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Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 31%
Student > Doctoral Student 4 10%
Researcher 4 10%
Student > Bachelor 4 10%
Student > Master 3 7%
Other 3 7%
Unknown 11 26%
Readers by discipline Count As %
Medicine and Dentistry 12 29%
Engineering 3 7%
Veterinary Science and Veterinary Medicine 2 5%
Biochemistry, Genetics and Molecular Biology 2 5%
Agricultural and Biological Sciences 2 5%
Other 8 19%
Unknown 13 31%