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What we learned from big data for autophagy research
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Jacomin, Anne-Claire, Gul, Lejla, Sudhakar, Padhmanand, Korcsmaros, Tamas and Nezis, Ioannis P. (2018) What we learned from big data for autophagy research. Frontiers in Cell and Developmental Biology, 6 . 92. doi:10.3389/fcell.2018.00092
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Official URL: https://doi.org/10.3389/fcell.2018.00092
Abstract
Autophagy is the process by which cytoplasmic components are sequestered in autophagosomal vesicles and delivered to the lysosome for degradation. Defective autophagy has been linked to a vast array of human pathologies. The molecular mechanism of the autophagic machinery is well-described and has been extensively investigated. However, understanding the global organisation of the autophagy system and its integration with other cellular processes remains a challenge. To this end, various bioinformatics and network biology approaches have been developed by researchers in the last few years. Recently, large scale multi-omics approaches (such as transcriptomics, proteomics, lipidomics and metabolomics) have been developed and carried out specifically focusing on autophagy, and generating a multi-scale data on the related components. In this review, we outline recent applications of in silico investigations and big data analyses of the autophagy process in various biological systems.
| Item Type: | Journal Article | |||||||||||||||
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| Subjects: | Q Science > QA Mathematics > QA75 (Please use QA76 Electronic Computers. Computer Science) Q Science > QH Natural history |
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| Divisions: | Faculty of Science > Life Sciences (2010- ) | |||||||||||||||
| Library of Congress Subject Headings (LCSH): | Big data, Metabolism, Cell organelles, Proteomics, Bioinformatics | |||||||||||||||
| Journal or Publication Title: | Frontiers in Cell and Developmental Biology | |||||||||||||||
| Publisher: | Frontiers Media | |||||||||||||||
| ISSN: | 2296-634X | |||||||||||||||
| Official Date: | 17 August 2018 | |||||||||||||||
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| Date of first compliant deposit: | 17 August 2018 | |||||||||||||||
| Volume: | 6 | |||||||||||||||
| Article Number: | 92 | |||||||||||||||
| DOI: | 10.3389/fcell.2018.00092 | |||||||||||||||
| Status: | Peer Reviewed | |||||||||||||||
| Publication Status: | Published | |||||||||||||||
| Access rights to Published version: | Open Access | |||||||||||||||
| RIOXX Funder/Project Grant: |
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