Article ; Online: Understanding the Transcriptomic Landscape to Drive New Innovations in Musculoskeletal Regenerative Medicine.
2022 Volume 20, Issue 2, Page(s) 141–152
Abstract: Purpose of review: RNA-sequencing (RNA-seq) is a novel and highly sought-after tool in the field of musculoskeletal regenerative medicine. The technology is being used to better understand pathological processes, as well as elucidate mechanisms ... ...
Abstract | Purpose of review: RNA-sequencing (RNA-seq) is a novel and highly sought-after tool in the field of musculoskeletal regenerative medicine. The technology is being used to better understand pathological processes, as well as elucidate mechanisms governing development and regeneration. It has allowed in-depth characterization of stem cell populations and discovery of molecular mechanisms that regulate stem cell development, maintenance, and differentiation in a way that was not possible with previous technology. This review introduces RNA-seq technology and how it has paved the way for advances in musculoskeletal regenerative medicine. Recent findings: Recent studies in regenerative medicine have utilized RNA-seq to decipher mechanisms of pathophysiology and identify novel targets for regenerative medicine. The technology has also advanced stem cell biology through in-depth characterization of stem cells, identifying differentiation trajectories and optimizing cell culture conditions. It has also provided new knowledge that has led to improved growth factor use and scaffold design for musculoskeletal regenerative medicine. This article reviews recent studies utilizing RNA-seq in the field of musculoskeletal regenerative medicine. It demonstrates how transcriptomic analysis can be used to provide insights that can aid in formulating a regenerative strategy. |
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MeSH term(s) | Cell Culture Techniques ; Humans ; Musculoskeletal System ; Regenerative Medicine ; Stem Cells ; Tissue Engineering ; Transcriptome |
Language | English |
Publishing date | 2022-02-14 |
Publishing country | United States |
Document type | Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 2186581-4 |
ISSN | 1544-2241 ; 1544-1873 |
ISSN (online) | 1544-2241 |
ISSN | 1544-1873 |
DOI | 10.1007/s11914-022-00726-x |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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