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- Publisher Website: 10.7554/eLife.64940
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- PMID: 33382035
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Article: DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics
Title | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
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Authors | |
Keywords | SILAC ageing computational biology degradome human |
Issue Date | 2020 |
Publisher | eLife Sciences Publications Ltd. The Journal's web site is located at http://elifesciences.org/ |
Citation | eLife, 2020, v. 9, p. article no. e64940 How to Cite? |
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. |
Persistent Identifier | http://hdl.handle.net/10722/304899 |
ISSN | 2023 Impact Factor: 6.4 2023 SCImago Journal Rankings: 3.932 |
PubMed Central ID | |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Tam, V | - |
dc.contributor.author | Chen, P | - |
dc.contributor.author | Yee, A | - |
dc.contributor.author | Solis, N | - |
dc.contributor.author | Klein, T | - |
dc.contributor.author | K, M | - |
dc.contributor.author | Sharma, R | - |
dc.contributor.author | Chan, WCW | - |
dc.contributor.author | Overall, CM | - |
dc.contributor.author | Haglung, L | - |
dc.contributor.author | Sham, PC | - |
dc.contributor.author | Cheah, KSE | - |
dc.contributor.author | Chan, D | - |
dc.date.accessioned | 2021-10-05T02:36:48Z | - |
dc.date.available | 2021-10-05T02:36:48Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | eLife, 2020, v. 9, p. article no. e64940 | - |
dc.identifier.issn | 2050-084X | - |
dc.identifier.uri | http://hdl.handle.net/10722/304899 | - |
dc.description.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. | - |
dc.language | eng | - |
dc.publisher | eLife Sciences Publications Ltd. The Journal's web site is located at http://elifesciences.org/ | - |
dc.relation.ispartof | eLife | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | SILAC | - |
dc.subject | ageing | - |
dc.subject | computational biology | - |
dc.subject | degradome | - |
dc.subject | human | - |
dc.title | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics | - |
dc.type | Article | - |
dc.identifier.email | Tam, V: vivtam@hku.hk | - |
dc.identifier.email | Sharma, R: rasharma@hku.hk | - |
dc.identifier.email | Chan, WCW: cwilson@hku.hk | - |
dc.identifier.email | Sham, PC: pcsham@hku.hk | - |
dc.identifier.email | Cheah, KSE: hrmbdkc@hku.hk | - |
dc.identifier.email | Chan, D: chand@hku.hk | - |
dc.identifier.authority | Sham, PC=rp00459 | - |
dc.identifier.authority | Cheah, KSE=rp00342 | - |
dc.identifier.authority | Chan, D=rp00540 | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.7554/eLife.64940 | - |
dc.identifier.pmid | 33382035 | - |
dc.identifier.pmcid | PMC7857729 | - |
dc.identifier.scopus | eid_2-s2.0-85099295736 | - |
dc.identifier.hkuros | 326070 | - |
dc.identifier.volume | 9 | - |
dc.identifier.spage | article no. e64940 | - |
dc.identifier.epage | article no. e64940 | - |
dc.identifier.isi | WOS:000615649700001 | - |
dc.publisher.place | Cambridge, UK | - |