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

TitleDIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics
Authors
KeywordsSILAC
ageing
computational biology
degradome
human
Issue Date2020
PublishereLife 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?
AbstractThe 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 Identifierhttp://hdl.handle.net/10722/304899
ISSN
2021 Impact Factor: 8.713
2020 SCImago Journal Rankings: 5.879
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorTam, V-
dc.contributor.authorChen, P-
dc.contributor.authorYee, A-
dc.contributor.authorSolis, N-
dc.contributor.authorKlein, T-
dc.contributor.authorK, M-
dc.contributor.authorSharma, R-
dc.contributor.authorChan, WCW-
dc.contributor.authorOverall, CM-
dc.contributor.authorHaglung, L-
dc.contributor.authorSham, PC-
dc.contributor.authorCheah, KSE-
dc.contributor.authorChan, D-
dc.date.accessioned2021-10-05T02:36:48Z-
dc.date.available2021-10-05T02:36:48Z-
dc.date.issued2020-
dc.identifier.citationeLife, 2020, v. 9, p. article no. e64940-
dc.identifier.issn2050-084X-
dc.identifier.urihttp://hdl.handle.net/10722/304899-
dc.description.abstractThe 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.languageeng-
dc.publishereLife Sciences Publications Ltd. The Journal's web site is located at http://elifesciences.org/-
dc.relation.ispartofeLife-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectSILAC-
dc.subjectageing-
dc.subjectcomputational biology-
dc.subjectdegradome-
dc.subjecthuman-
dc.titleDIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics-
dc.typeArticle-
dc.identifier.emailTam, V: vivtam@hku.hk-
dc.identifier.emailSharma, R: rasharma@hku.hk-
dc.identifier.emailChan, WCW: cwilson@hku.hk-
dc.identifier.emailSham, PC: pcsham@hku.hk-
dc.identifier.emailCheah, KSE: hrmbdkc@hku.hk-
dc.identifier.emailChan, D: chand@hku.hk-
dc.identifier.authoritySham, PC=rp00459-
dc.identifier.authorityCheah, KSE=rp00342-
dc.identifier.authorityChan, D=rp00540-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.7554/eLife.64940-
dc.identifier.pmid33382035-
dc.identifier.pmcidPMC7857729-
dc.identifier.scopuseid_2-s2.0-85099295736-
dc.identifier.hkuros326070-
dc.identifier.volume9-
dc.identifier.spagearticle no. e64940-
dc.identifier.epagearticle no. e64940-
dc.identifier.isiWOS:000615649700001-
dc.publisher.placeCambridge, UK-

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