Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2023 Nov;19(11):738-752.
doi: 10.1038/s41584-023-01031-2. Epub 2023 Oct 5.

A roadmap for delivering a human musculoskeletal cell atlas

Affiliations
Review

A roadmap for delivering a human musculoskeletal cell atlas

Mathew Baldwin et al. Nat Rev Rheumatol. 2023 Nov.

Abstract

Advances in single-cell technologies have transformed the ability to identify the individual cell types present within tissues and organs. The musculoskeletal bionetwork, part of the wider Human Cell Atlas project, aims to create a detailed map of the healthy musculoskeletal system at a single-cell resolution throughout tissue development and across the human lifespan, with complementary generation of data from diseased tissues. Given the prevalence of musculoskeletal disorders, this detailed reference dataset will be critical to understanding normal musculoskeletal function in growth, homeostasis and ageing. The endeavour will also help to identify the cellular basis for disease and lay the foundations for novel therapeutic approaches to treating diseases of the joints, soft tissues and bone. Here, we present a Roadmap delineating the critical steps required to construct the first draft of a human musculoskeletal cell atlas. We describe the key challenges involved in mapping the extracellular matrix-rich, but cell-poor, tissues of the musculoskeletal system, outline early milestones that have been achieved and describe the vision and directions for a comprehensive musculoskeletal cell atlas. By embracing cutting-edge technologies, integrating diverse datasets and fostering international collaborations, this endeavour has the potential to drive transformative changes in musculoskeletal medicine.

PubMed Disclaimer

References

    1. Lee, R. C. et al. Total-body skeletal muscle mass: development and cross-validation of anthropometric prediction models. Am. J. Clin. Nutr. 72, 796–803 (2000). - PubMed - DOI
    1. Murphy, A. C. et al. Structure, function, and control of the human musculoskeletal network. PLoS Biol. 16, e2002811 (2018). - PubMed - PMC - DOI
    1. McKee, T. J., Perlman, G., Morris, M. & Komarova, S. V. Extracellular matrix composition of connective tissues: a systematic review and meta-analysis. Sci. Rep. 9, 10542 (2019). - PubMed - PMC - DOI
    1. Konnaris, M. A. et al. Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges. Arthritis Res. Ther. 24, 68 (2022). - PubMed - PMC - DOI
    1. Freemont, A. J. & Hoyland, J. A. Morphology, mechanisms and pathology of musculoskeletal ageing. J. Pathol. 211, 252–259 (2007). - PubMed - DOI

LinkOut - more resources