Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

General information

URL: http://www.sbms.hku.hk/dclab/DIPPER
Full name:
Description: DIPPER is a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics
Year founded: 2020
Last update:
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Country/Region: China

Classification and Labelling

Data type:
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Contact information

University/Institution: School of Biomedical Sciences, The University of Hong Kong
Address: School of Biomedical Sciences, The University of Hong Kong,21 Sassoon Road, Hong Kong
City: Hong Kong
Province/State:
Country/Region: China
Contact name (PI/Team): Danny Chan
Contact email (PI/Helpdesk): chand@hku.hk

Publications

33382035
DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics. [PMID: 33382035]
Vivian Tam, Peikai Chen, Anita Yee, Nestor Solis, Theo Klein, Mateusz Kudelko, Rakesh Sharma, Wilson Cw Chan, Christopher M Overall, Lisbet Haglund, Pak C Sham, Kathryn Song Eng Cheah, Danny Chan

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.

Elife. 2020:9() | 9 Citations (from Europe PMC, 2022-07-02)

Ranking

All databases:
1726/5381 (67.943%)
Expression:
338/1006 (66.501%)
Structure:
220/748 (70.722%)
Metadata:
149/547 (72.943%)
1726
Total Rank
9
Citations
4.5
z-index

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Record metadata

Created on: 2022-04-19
Curated by:
Lin Liu [2022-06-23]
Qianpeng Li [2022-05-10]
Sicheng Luo [2022-04-19]