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

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). O...

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Autores principales: Santos, Lívia, Ugun-Klusek, Aslihan, Coveney, Clare, Boocock, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184808/
https://www.ncbi.nlm.nih.gov/pubmed/34099736
http://dx.doi.org/10.1038/s41536-021-00141-3
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author Santos, Lívia
Ugun-Klusek, Aslihan
Coveney, Clare
Boocock, David J.
author_facet Santos, Lívia
Ugun-Klusek, Aslihan
Coveney, Clare
Boocock, David J.
author_sort Santos, Lívia
collection PubMed
description 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.
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spelling pubmed-81848082021-06-09 Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer Santos, Lívia Ugun-Klusek, Aslihan Coveney, Clare Boocock, David J. NPJ Regen Med Brief Communication 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. Nature Publishing Group UK 2021-06-07 /pmc/articles/PMC8184808/ /pubmed/34099736 http://dx.doi.org/10.1038/s41536-021-00141-3 Text en © The Author(s) 2021 https://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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Brief Communication
Santos, Lívia
Ugun-Klusek, Aslihan
Coveney, Clare
Boocock, David J.
Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title_full Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title_fullStr Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title_full_unstemmed Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title_short Multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
title_sort multiomic analysis of stretched osteocytes reveals processes and signalling linked to bone regeneration and cancer
topic Brief Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8184808/
https://www.ncbi.nlm.nih.gov/pubmed/34099736
http://dx.doi.org/10.1038/s41536-021-00141-3
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