Open access · CC-BY
via OpenAlex
Circadian time series proteomics reveals daily dynamics in cartilage physiology
Michal Dudek, Constanza Angelucci, Dharshika RJ Pathiranage, Ping Wang, Venkatesh Mallikarjun, Craig Lawless, Joe Swift, Karl E. Kadler, Ray Boot-Handford, Judith A. Hoyland, Shireen R. Lamandé, John F. Bateman, Qing‐Jun Meng
Osteoarthritis and Cartilage · 2021 · ▲ 31 citations
Abstract
OBJECTIVE: Cartilage in joints such as the hip and knee experiences repeated phases of heavy loading and low load recovery during the 24-h day/night cycle. Our previous work has shown 24 h rhythmic changes in gene expression at transcript level between night and day in wild type mouse cartilage which is lost in a circadian clock knock-out mouse model. However, it remains unknown to what extent circadian rhythms also regulate protein level gene expression in this matrix rich tissue. METHODS: We investigated daily changes of protein abundance in mouse femoral head articular cartilage by performing a 48-h time-series LC-MS/MS analysis. RESULTS: Out of the 1,177 proteins we identified across all time points, 145 proteins showed rhythmic changes in their abundance within the femoral head cartilage. Among these were molecules that have been implicated in key cartilage functions, including CTGF, MATN1, PAI-1 and PLOD1 & 2. Pathway analysis revealed that protein synthesis, cytoskeleton and glucose metabolism exhibited time-of-day dependent functions. Analysis of published cartilage proteomics datasets revealed that a significant portion of rhythmic proteins were dysregulated in osteoarthritis and/or ageing. CONCLUSIONS: Our circadian proteomics study reveals that articular cartilage is a much more dynamic tissue than previously thought, with chondrocytes driving circadian rhythms not only in gene transcription but also in protein abundance. Our results clearly call for the consideration of circadian timing mechanisms not only in cartilage biology, but also in the pathogenesis, treatment strategies and biomarker detection in osteoarthritis.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.1016/j.joca.2021.02.008
- Canonical
- link ↗
- Fetched
- 2026-07-22 MST
Cite this
APA
Dudek, M., Angelucci, C., Pathiranage, D.R., Wang, P., Mallikarjun, V., Lawless, C., Swift, J., Kadler, K.E., Boot-Handford, R., Hoyland, J.A., Lamandé, S.R., Bateman, J.F., & Meng, Q. (2021). Circadian time series proteomics reveals daily dynamics in cartilage physiology. <em>Osteoarthritis and Cartilage</em>. https://doi.org/10.1016/j.joca.2021.02.008
Vancouver
Dudek M, Angelucci C, Pathiranage DR, Wang P, Mallikarjun V, Lawless C, et al. Circadian time series proteomics reveals daily dynamics in cartilage physiology. Osteoarthritis and Cartilage. 2021. doi:10.1016/j.joca.2021.02.008.
BibTeX
@article{michal2021Circad,
title = {Circadian time series proteomics reveals daily dynamics in cartilage physiology},
author = {Michal Dudek and Constanza Angelucci and Dharshika RJ Pathiranage and Ping Wang and Venkatesh Mallikarjun and Craig Lawless and Joe Swift and Karl E. Kadler and Ray Boot-Handford and Judith A. Hoyland and Shireen R. Lamandé and John F. Bateman and Qing‐Jun Meng},
journal = {Osteoarthritis and Cartilage},
year = {2021},
doi = {10.1016/j.joca.2021.02.008},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
PLoS Genetics 2014
Open access · CC-BY
In-Vivo Quantitative Proteomics Reveals a Key Contribution of Post-Transcriptional Mechanisms to the Circadian Regulation of Liver Metabolism
Knee Surgery Sports Traumatology Arthroscopy 2011
Open access · CC-BY
Biomechanical considerations in the pathogenesis of osteoarthritis of the knee
Frontiers in Genetics 2019
Open access · CC-BY
Dynamic DNA Methylation During Aging: A “Prophet” of Age-Related Outcomes
International Journal of Epidemiology 2016
Citation only
Epigenetic drift in the aging genome: a ten-year follow-up in an elderly twin cohort
Aging cell 2026
Open access · OA
Associations Between 40-Year Trajectories of BMI and Proteomic and Epigenetic Aging Clocks: Deciphering Nonlinearity and Interactions.
Forensic Science International Genetics 2015
Preprint · CC-BY