DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics

eLife

Pak C Sham¹  Peikai Chen²  Lisbet Haglund²  Kathryn Song Eng Cheah³  Mateusz Kudelko³  Theo Klein³  Danny Chan⁴  Wilson CW Chan⁵  Vivian Tam⁶  Anita Yee⁶  Nestor Solis⁶  Rakesh Sharma⁶  Christopher M Overall⁶ 

[1] Department of Orthopaedics Surgery and Traumatology, HKU-Shenzhen Hospital, Shenzhen, China;The University of Hong Kong Shenzhen of Research Institute and Innovation (HKU-SIRI), Shenzhen, China;Centre for Blood Research, Faculty of Dentistry, University of British Columbia, Vancouver, Canada;Department of Surgery, McGill University, Montreal, Canada;Proteomics and Metabolomics Core Facility, The University of Hong Kong, Hong Kong;School of Biomedical Sciences,, The University of Hong Kong, Hong Kong;

关键词: intervertebral disc;    nucleus pulposus;    proteomics;    SILAC;    degradome;    ageing;   

DOI  :  10.7554/eLife.64940

来源: DOAJ

【 摘 要 】

The spatiotemporal proteome of the intervertebral disc (IVD) underpins its integrity and function. We present DIPPER, a deep and comprehensive IVD proteomic resource comprising 94 genome-wide profiles from 17 individuals. To begin with, protein modules defining key directional trends spanning the lateral and anteroposterior axes were derived from high-resolution spatial proteomes of intact young cadaveric lumbar IVDs. They revealed novel region-specific profiles of regulatory activities and displayed potential paths of deconstruction in the level- and location-matched aged cadaveric discs. Machine learning methods predicted a ‘hydration matrisome’ that connects extracellular matrix with MRI intensity. Importantly, the static proteome used as point-references can be integrated with dynamic proteome (SILAC/degradome) and transcriptome data from multiple clinical samples, enhancing robustness and clinical relevance. The data, findings, and methodology, available on a web interface (http://www.sbms.hku.hk/dclab/DIPPER/), will be valuable references in the field of IVD biology and proteomic analytics.

【 授权许可】

Unknown