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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 ISSN 2296-634X.

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Official URL: https://doi.org/10.3389/fcell.2018.00092

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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
Subjects: Q Science > QA Mathematics > QA75 (Please use QA76 Electronic Computers. Computer Science)
Q Science > QH Natural history
Divisions: Faculty of Science, Engineering and Medicine > 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
Dates:
DateEvent
17 August 2018Published
July 2018Available
27 July 2018Accepted
Volume: 6
Article Number: 92
DOI: 10.3389/fcell.2018.00092
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 17 August 2018
Date of first compliant Open Access: 17 August 2018
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
BB/P007856/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
BB/J004529/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
BB/P016774/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268
BB/M011216/1[BBSRC] Biotechnology and Biological Sciences Research Councilhttp://dx.doi.org/10.13039/501100000268

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