Literature DB >> 23063930

Tools for the functional interpretation of metabolomic experiments.

Monica Chagoyen1, Florencio Pazos.   

Abstract

The so-called 'omics' approaches used in modern biology aim at massively characterizing the molecular repertories of living systems at different levels. Metabolomics is one of the last additions to the 'omics' family and it deals with the characterization of the set of metabolites in a given biological system. As metabolomic techniques become more massive and allow characterizing larger sets of metabolites, automatic methods for analyzing these sets in order to obtain meaningful biological information are required. Only recently the first tools specifically designed for this task in metabolomics appeared. They are based on approaches previously used in transcriptomics and other 'omics', such as annotation enrichment analysis. These, together with generic tools for metabolic analysis and visualization not specifically designed for metabolomics will for sure be in the toolbox of the researches doing metabolomic experiments in the near future.

Keywords:  enrichment analysis; functional analysis; metabolic pathways; metabolomics

Mesh:

Year:  2012        PMID: 23063930     DOI: 10.1093/bib/bbs055

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  18 in total

1.  Metabolic profiles and free radical scavenging activity of Cordyceps bassiana fruiting bodies according to developmental stage.

Authors:  Sun-Hee Hyun; Seok-Young Lee; Gi-Ho Sung; Seong Hwan Kim; Hyung-Kyoon Choi
Journal:  PLoS One       Date:  2013-09-13       Impact factor: 3.240

2.  MPINet: metabolite pathway identification via coupling of global metabolite network structure and metabolomic profile.

Authors:  Feng Li; Yanjun Xu; Desi Shang; Haixiu Yang; Wei Liu; Junwei Han; Zeguo Sun; Qianlan Yao; Chunlong Zhang; Jiquan Ma; Fei Su; Li Feng; Xinrui Shi; Yunpeng Zhang; Jing Li; Qi Gu; Xia Li; Chunquan Li
Journal:  Biomed Res Int       Date:  2014-06-25       Impact factor: 3.411

Review 3.  Integrated network analysis and effective tools in plant systems biology.

Authors:  Atsushi Fukushima; Shigehiko Kanaya; Kozo Nishida
Journal:  Front Plant Sci       Date:  2014-11-04       Impact factor: 5.753

4.  Integrative Analysis of Metabolomic, Proteomic and Genomic Data to Reveal Functional Pathways and Candidate Genes for Drip Loss in Pigs.

Authors:  Julia Welzenbach; Christiane Neuhoff; Hanna Heidt; Mehmet Ulas Cinar; Christian Looft; Karl Schellander; Ernst Tholen; Christine Große-Brinkhaus
Journal:  Int J Mol Sci       Date:  2016-08-30       Impact factor: 5.923

5.  MBROLE 2.0-functional enrichment of chemical compounds.

Authors:  Javier López-Ibáñez; Florencio Pazos; Mónica Chagoyen
Journal:  Nucleic Acids Res       Date:  2016-04-15       Impact factor: 16.971

6.  Different Statistical Approaches to Investigate Porcine Muscle Metabolome Profiles to Highlight New Biomarkers for Pork Quality Assessment.

Authors:  Julia Welzenbach; Christiane Neuhoff; Christian Looft; Karl Schellander; Ernst Tholen; Christine Große-Brinkhaus
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

Review 7.  Discovery of biomarkers in rare diseases: innovative approaches by predictive and personalized medicine.

Authors:  Basri Gülbakan; Rıza Köksal Özgül; Ayşe Yüzbaşıoğlu; Matthias Kohl; Hans-Peter Deigner; Meral Özgüç
Journal:  EPMA J       Date:  2016-12-08       Impact factor: 6.543

8.  Recent progress in the development of metabolome databases for plant systems biology.

Authors:  Atsushi Fukushima; Miyako Kusano
Journal:  Front Plant Sci       Date:  2013-04-04       Impact factor: 5.753

9.  Metabolomic analysis with GC-MS to reveal potential metabolites and biological pathways involved in Pb &Cd stress response of radish roots.

Authors:  Yan Wang; Liang Xu; Hong Shen; Juanjuan Wang; Wei Liu; Xianwen Zhu; Ronghua Wang; Xiaochuan Sun; Liwang Liu
Journal:  Sci Rep       Date:  2015-12-17       Impact factor: 4.379

10.  Global Prioritization of Disease Candidate Metabolites Based on a Multi-omics Composite Network.

Authors:  Qianlan Yao; Yanjun Xu; Haixiu Yang; Desi Shang; Chunlong Zhang; Yunpeng Zhang; Zeguo Sun; Xinrui Shi; Li Feng; Junwei Han; Fei Su; Chunquan Li; Xia Li
Journal:  Sci Rep       Date:  2015-11-24       Impact factor: 4.379

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