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Over the past 27 years Professor Bruce Caterson's research has focussed on the production, development and use of monoclonal antibody (mAb) technologies for studies of connective tissue proteoglycan metabolism in health and disease. These studies have focussed on matrix proteoglycan metabolism in musculoskeletal tissues with a particular emphasis on studies involving molecular mechanism underlying the pathogenesis of degenerative joint diseases; i.e. osteoarthritis and rheumatoid arthritis. Our lab has now developed and characterised numerous mAbs that recognise both carbohydrate and protein epitopes and neoepitopes that are present on proteoglycans in all connective tissues throughout the body (see Figure 1 and publications, as recent examples). Many of these mAbs are now commercially available to researchers worldwide.
These reagents and technologies are also being applied to development of new antibody-based biomarker assays to diagnose and monitor the efficacy of therapeutic or surgical interventions in the treatment of degenerative joint diseases and changes in matrix proteoglycan and protein metabolism associated changes in the peri-neuronal net in the pathogenesis of Alzheimer's disease. Furthermore, these mAb technologies have been applied to tissue engineering & tissue regeneration applications involving the repair of articular cartilage and other musculoskeletal tissues (7, 10). In recent years, these research interests have extended to several collaborative studies investigating proteoglycan metabolism and extracellular matrix organisation in the cornea of the eye during development and with the onset of pathology (2, 4). Very recent work (10) has used several monoclonal antibodies that recognise chondroitin sulphate (CS) glycosaminoglycan sulphation motifs to identify stem/progenitor cells in their "stem cell niches" of musculoskeletal tissues (i.e. cartilage, tendon and intervertebral disc), the eye and the gut of several different animal species (see Figures 2 above & 3 below).
Research Interests
Papers共 393 篇Author StatisticsCo-AuthorSimilar Experts
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crossref(2020)
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eLife (2020): 1-31
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Author Statistics
#Papers: 392
#Citation: 18512
H-Index: 74
G-Index: 122
Sociability: 7
Diversity: 1
Activity: 0
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