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DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics
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 la...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857729/ https://www.ncbi.nlm.nih.gov/pubmed/33382035 http://dx.doi.org/10.7554/eLife.64940 |
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author | Tam, Vivian Chen, Peikai Yee, Anita Solis, Nestor Klein, Theo Kudelko, Mateusz Sharma, Rakesh Chan, Wilson CW Overall, Christopher M Haglund, Lisbet Sham, Pak C Cheah, Kathryn Song Eng Chan, Danny |
author_facet | Tam, Vivian Chen, Peikai Yee, Anita Solis, Nestor Klein, Theo Kudelko, Mateusz Sharma, Rakesh Chan, Wilson CW Overall, Christopher M Haglund, Lisbet Sham, Pak C Cheah, Kathryn Song Eng Chan, Danny |
author_sort | Tam, Vivian |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7857729 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-78577292021-02-04 DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics Tam, Vivian Chen, Peikai Yee, Anita Solis, Nestor Klein, Theo Kudelko, Mateusz Sharma, Rakesh Chan, Wilson CW Overall, Christopher M Haglund, Lisbet Sham, Pak C Cheah, Kathryn Song Eng Chan, Danny eLife Computational and Systems Biology 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 Sciences Publications, Ltd 2020-12-31 /pmc/articles/PMC7857729/ /pubmed/33382035 http://dx.doi.org/10.7554/eLife.64940 Text en © 2020, Tam et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Computational and Systems Biology Tam, Vivian Chen, Peikai Yee, Anita Solis, Nestor Klein, Theo Kudelko, Mateusz Sharma, Rakesh Chan, Wilson CW Overall, Christopher M Haglund, Lisbet Sham, Pak C Cheah, Kathryn Song Eng Chan, Danny 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 |
title_full | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
title_fullStr | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
title_full_unstemmed | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
title_short | DIPPER, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
title_sort | dipper, a spatiotemporal proteomics atlas of human intervertebral discs for exploring ageing and degeneration dynamics |
topic | Computational and Systems Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7857729/ https://www.ncbi.nlm.nih.gov/pubmed/33382035 http://dx.doi.org/10.7554/eLife.64940 |
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