Network-based strategies in metabolomics data analysis and interpretation: from molecular networking to biological interpretation.

Abstract:

INTRODUCTION:Metabolomics has become a crucial part of systems biology; however, data analysis is still often undertaken in a reductionist way focusing on changes in individual metabolites. Whilst such approaches indeed provide relevant insights into the metabolic phenotype of an organism, the intricate nature of metabolic relationships may be better explored when considering the whole system. AREAS COVERED:This review highlights multiple network strategies that can be applied for metabolomics data analysis from different perspectives including: association networks based on quantitative information, mass spectra similarity networks to assist metabolite annotation and biochemical networks for systematic data interpretation. We also highlight some relevant insights into metabolic organization obtained through the exploration of such approaches. EXPERT OPINION:Network based analysis is an established method that allows the identification of non-intuitive metabolic relationships as well as the identification of unknown compounds in mass spectrometry. Additionally, the representation of data from metabolomics within the context of metabolic networks is intuitive and allows for the use of statistical analysis that can better summarize relevant metabolic changes from a systematic perspective.

journal_name

Expert Rev Proteomics

authors

Perez De Souza L,Alseekh S,Brotman Y,Fernie AR

doi

10.1080/14789450.2020.1766975

subject

Has Abstract

pub_date

2020-04-01 00:00:00

pages

243-255

issue

4

eissn

1478-9450

issn

1744-8387

journal_volume

17

pub_type

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