Informatics and computational strategies for the study of lipids

Matej Orešič

Research output: Contribution to journalReview ArticleScientificpeer-review

23 Citations (Scopus)

Abstract

The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.
Original languageEnglish
Pages (from-to)991-999
Number of pages9
JournalBiochimica et Biophysica Acta: Molecular and Cell Biology of Lipids
Volume1811
Issue number11
DOIs
Publication statusPublished - 2011
MoE publication typeA2 Review article in a scientific journal

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Informatics
Computational Biology
Lipids
Biological Phenomena
Metabolomics
Lipoproteins
Mass Spectrometry
Membranes

Keywords

  • Allostasis
  • lipidomics
  • metabolomics
  • molecular dynamics
  • system biology

Cite this

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title = "Informatics and computational strategies for the study of lipids",
abstract = "The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.",
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Informatics and computational strategies for the study of lipids. / Orešič, Matej.

In: Biochimica et Biophysica Acta: Molecular and Cell Biology of Lipids, Vol. 1811, No. 11, 2011, p. 991-999.

Research output: Contribution to journalReview ArticleScientificpeer-review

TY - JOUR

T1 - Informatics and computational strategies for the study of lipids

AU - Orešič, Matej

PY - 2011

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N2 - The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.

AB - The ability to translate vast amounts of information, as obtained from lipidomic analysis, into the knowledge and understanding of biological phenomena is an important challenge faced by the lipidomics community. While many of the informatics and computational tools from other domains such as bioinformatics and metabolomics are also applicable to lipidomics data processing and analysis, new solutions and strategies are needed for the studies of lipidomes at the systems level. This is due to enormous functional and structural diversity of lipids as well as because of their complex regulation at multiple spatial and temporal scales. In order to better understand the lipidomes at the physiological level, lipids need to be modeled not only at the level of biological pathways but also at the level of the biophysical systems they are part of, such as cellular membranes or lipoprotein particles. Herein the current state, recent advances and new opportunities in the field of lipid bioinformatics are reviewed. This article is part of a Special Issue entitled Lipodomics and Imaging Mass Spectrometry.

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KW - lipidomics

KW - metabolomics

KW - molecular dynamics

KW - system biology

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