| Literature DB >> 33382035 |
Vivian Tam1,2, Peikai Chen1, Anita Yee1, Nestor Solis3, Theo Klein3, Mateusz Kudelko1, Rakesh Sharma4, Wilson Cw Chan1,2,5, Christopher M Overall3, Lisbet Haglund6, Pak C Sham7, Kathryn Song Eng Cheah1, Danny Chan1,2.
Abstract
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.Entities:
Keywords: SILAC; ageing; computational biology; degradome; human; intervertebral disc; nucleus pulposus; proteomics; systems biology
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Year: 2020 PMID: 33382035 PMCID: PMC7857729 DOI: 10.7554/eLife.64940
Source DB: PubMed Journal: Elife ISSN: 2050-084X Impact factor: 8.140