Age-dependent changes in protein incorporation into collagen-rich tissues of mice by in vivo pulsed SILAC labelling

Author:

Ariosa-Morejon Yoanna1,Santos Alberto23,Fischer Roman4ORCID,Davis Simon4,Charles Philip4ORCID,Thakker Rajesh5ORCID,Wann Angus KT1,Vincent Tonia L1ORCID

Affiliation:

1. Kennedy Institute of Rheumatology, Arthritis Research UK Centre for OA Pathogenesis, University of Oxford

2. Big Data Institute, Li-Ka Shing Centre for Health Information and Discovery, University of Oxford

3. Center for Health Data Science, Faculty of Health Sciences, University of Copenhagen

4. Nuffield Department of Medicine, Target Discovery Institute, University of Oxford

5. Academic Endocrine Unit, OCDEM, Churchill Hospital, University of Oxford

Abstract

Collagen-rich tissues have poor reparative capacity that predisposes to common age-related disorders such as osteoporosis and osteoarthritis. We used in vivo pulsed SILAC labelling to quantify new protein incorporation into cartilage, bone, and skin of mice across the healthy life course. We report dynamic turnover of the matrisome, the proteins of the extracellular matrix, in bone and cartilage during skeletal maturation, which was markedly reduced after skeletal maturity. Comparing young adult with older adult mice, new protein incorporation was reduced in all tissues. STRING clustering revealed changes in epigenetic modulators across all tissues, a decline in chondroprotective growth factors such as FGF2 and TGFβ in cartilage, and clusters indicating mitochondrial dysregulation and reduced collagen synthesis in bone. Several pathways were implicated in age-related disease. Fewer changes were observed for skin. This methodology provides dynamic protein data at a tissue level, uncovering age-related molecular changes that may predispose to disease.

Funder

Daphne Jackson Trust

Versus Arthritis

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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