What we learned from big data for autophagy research

Anne Claire Jacomin, Lejla Gul, Padhmanand Sudhakar, T. Korcsmáros, Ioannis P. Nezis

Research output: Contribution to journalReview article

1 Citation (Scopus)

Abstract

Autophagy is the process by which cytoplasmic components are engulfed in double-membraned vesicles before being delivered to the lysosome to be degraded. 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 organization 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 (like genomics, transcriptomics, proteomics, lipidomics, and metabolomics) have been developed and carried out specifically focusing on autophagy, and generating 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.

Original languageEnglish
Article number92
JournalFrontiers in Cell and Developmental Biology
Volume6
Issue numberAUG
DOIs
Publication statusPublished - Aug 17 2018

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Autophagy
Research
Systems Integration
Metabolomics
Genomics
Lysosomes
Computational Biology
Computer Simulation
Proteomics
Research Personnel
Pathology

Keywords

  • Autophagy
  • Big data
  • Bioinformatics
  • Proteomics
  • Transcriptomics

ASJC Scopus subject areas

  • Developmental Biology
  • Cell Biology

Cite this

What we learned from big data for autophagy research. / Jacomin, Anne Claire; Gul, Lejla; Sudhakar, Padhmanand; Korcsmáros, T.; Nezis, Ioannis P.

In: Frontiers in Cell and Developmental Biology, Vol. 6, No. AUG, 92, 17.08.2018.

Research output: Contribution to journalReview article

Jacomin, Anne Claire ; Gul, Lejla ; Sudhakar, Padhmanand ; Korcsmáros, T. ; Nezis, Ioannis P. / What we learned from big data for autophagy research. In: Frontiers in Cell and Developmental Biology. 2018 ; Vol. 6, No. AUG.
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