Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer

Santos, L. ORCID: 0000-0002-1915-6780, Ugun-Klusek, A. ORCID: 0000-0002-0199-0275, Coveney, C. ORCID: 0000-0001-7047-6408 and Boocock, D.J. ORCID: 0000-0002-7333-3549, 2021. Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer. npj Regenerative Medicine, 6: 32. ISSN 2057-3995

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Exercise is a non-pharmacological intervention that can enhance bone regeneration and improve the management of bone conditions like osteoporosis or metastatic bone cancer. Therefore, it is gaining increasing importance in an emerging area of regenerative medicine—regenerative rehabilitation (RR). Osteocytes are mechanosensitive and secretory bone cells that orchestrate bone anabolism and hence postulated to be an attractive target of regenerative exercise interventions. However, the human osteocyte signalling pathways and processes evoked upon exercise remain to be fully identified. Making use of a computer-controlled bioreactor that mimics exercise and the latest omics approaches, RNA sequencing (RNA-seq) and tandem liquid chromatography-mass spectrometry (LC-MS), we mapped the transcriptome and secretome of mechanically stretched human osteocytic cells. We discovered that a single bout of cyclic stretch activated network processes and signalling pathways likely to modulate bone regeneration and cancer. Furthermore, a comparison between the transcriptome and secretome of stretched human and mouse osteocytic cells revealed dissimilar results, despite both species sharing evolutionarily conserved signalling pathways. These findings suggest that osteocytes can be targeted by exercise-driven RR protocols aiming to modulate bone regeneration or metastatic bone cancer.

Item Type: Journal article
Publication Title: npj Regenerative Medicine
Creators: Santos, L., Ugun-Klusek, A., Coveney, C. and Boocock, D.J.
Publisher: Nature Publishing Group
Date: 7 June 2021
Volume: 6
ISSN: 2057-3995
Rights: © The Author(s) 2021. 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/.
Divisions: Schools > School of Science and Technology
Record created by: Laura Ward
Date Added: 15 Jun 2021 08:46
Last Modified: 15 Jun 2021 08:46

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