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Single-cell RNA-sequence analysis of human bone marrow reveals new targets for isolation of skeletal stem cells using spherical nucleic acids
There is a wealth of data indicating human bone marrow contains skeletal stem cells (SSC) with the capacity for osteogenic, chondrogenic and adipogenic differentiation. However, current methods to isolate SSCs are restricted by the lack of a defined marker, limiting understanding of SSC fate, immuno...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192814/ https://www.ncbi.nlm.nih.gov/pubmed/37216034 http://dx.doi.org/10.1177/20417314231169375 |
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author | Matthews, Elloise Z Lanham, Stuart White, Kate Kyriazi, Maria-Eleni Alexaki, Konstantina El-Sagheer, Afaf H Brown, Tom Kanaras, Antonios G J West, Jonathan MacArthur, Ben D Stumpf, Patrick S Oreffo, Richard OC |
author_facet | Matthews, Elloise Z Lanham, Stuart White, Kate Kyriazi, Maria-Eleni Alexaki, Konstantina El-Sagheer, Afaf H Brown, Tom Kanaras, Antonios G J West, Jonathan MacArthur, Ben D Stumpf, Patrick S Oreffo, Richard OC |
author_sort | Matthews, Elloise Z |
collection | PubMed |
description | There is a wealth of data indicating human bone marrow contains skeletal stem cells (SSC) with the capacity for osteogenic, chondrogenic and adipogenic differentiation. However, current methods to isolate SSCs are restricted by the lack of a defined marker, limiting understanding of SSC fate, immunophenotype, function and clinical application. The current study applied single-cell RNA-sequencing to profile human adult bone marrow populations from 11 donors and identified novel targets for SSC enrichment. Spherical nucleic acids were used to detect these mRNA targets in SSCs. This methodology was able to rapidly isolate potential SSCs found at a frequency of <1 in 1,000,000 in human bone marrow, with the capacity for tri-lineage differentiation in vitro and ectopic bone formation in vivo. The current studies detail the development of a platform to advance SSC enrichment from human bone marrow, offering an invaluable resource for further SSC characterisation, with significant therapeutic impact therein. |
format | Online Article Text |
id | pubmed-10192814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-101928142023-05-19 Single-cell RNA-sequence analysis of human bone marrow reveals new targets for isolation of skeletal stem cells using spherical nucleic acids Matthews, Elloise Z Lanham, Stuart White, Kate Kyriazi, Maria-Eleni Alexaki, Konstantina El-Sagheer, Afaf H Brown, Tom Kanaras, Antonios G J West, Jonathan MacArthur, Ben D Stumpf, Patrick S Oreffo, Richard OC J Tissue Eng Nanotechnology in Tissue Engineering and Regenerative Medicine There is a wealth of data indicating human bone marrow contains skeletal stem cells (SSC) with the capacity for osteogenic, chondrogenic and adipogenic differentiation. However, current methods to isolate SSCs are restricted by the lack of a defined marker, limiting understanding of SSC fate, immunophenotype, function and clinical application. The current study applied single-cell RNA-sequencing to profile human adult bone marrow populations from 11 donors and identified novel targets for SSC enrichment. Spherical nucleic acids were used to detect these mRNA targets in SSCs. This methodology was able to rapidly isolate potential SSCs found at a frequency of <1 in 1,000,000 in human bone marrow, with the capacity for tri-lineage differentiation in vitro and ectopic bone formation in vivo. The current studies detail the development of a platform to advance SSC enrichment from human bone marrow, offering an invaluable resource for further SSC characterisation, with significant therapeutic impact therein. SAGE Publications 2023-05-16 /pmc/articles/PMC10192814/ /pubmed/37216034 http://dx.doi.org/10.1177/20417314231169375 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Nanotechnology in Tissue Engineering and Regenerative Medicine Matthews, Elloise Z Lanham, Stuart White, Kate Kyriazi, Maria-Eleni Alexaki, Konstantina El-Sagheer, Afaf H Brown, Tom Kanaras, Antonios G J West, Jonathan MacArthur, Ben D Stumpf, Patrick S Oreffo, Richard OC Single-cell RNA-sequence analysis of human bone marrow reveals new targets for isolation of skeletal stem cells using spherical nucleic acids |
title | Single-cell RNA-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
title_full | Single-cell RNA-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
title_fullStr | Single-cell RNA-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
title_full_unstemmed | Single-cell RNA-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
title_short | Single-cell RNA-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
title_sort | single-cell rna-sequence analysis of human bone marrow reveals new
targets for isolation of skeletal stem cells using spherical nucleic
acids |
topic | Nanotechnology in Tissue Engineering and Regenerative Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10192814/ https://www.ncbi.nlm.nih.gov/pubmed/37216034 http://dx.doi.org/10.1177/20417314231169375 |
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