Literature DB >> 21083277

Metabolomics: an integral technique in systems biology.

Wolfram Weckwerth1.   

Abstract

Metabolomics is the unbiased identification and state-specific quantification of all metabolites in a cell, tissue or whole organism, and has developed rapidly into one of the cornerstones of postgenomic techniques for the quantitative analysis of molecular phenotypes. These large-scale analyses of metabolites are intimately bound to advancements in MS technologies and have emerged in parallel with the development of novel mass analyzers and hyphenated techniques, as well as with the combination of different techniques to cope with the physicochemical diversity of a metabolome. This review gives a brief description of the development and applications of these technologies in biochemistry and systems biology, and discusses their significance in the postgenomic era. Especially, the systematic relation between high-throughput metabolomic data and their interpretation with respect to the underlying biochemical regulatory network is discussed.

Mesh:

Year:  2010        PMID: 21083277     DOI: 10.4155/bio.09.192

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  25 in total

Review 1.  Fish welfare and genomics.

Authors:  P Prunet; Ø Øverli; J Douxfils; G Bernardini; P Kestemont; D Baron
Journal:  Fish Physiol Biochem       Date:  2011-06-14       Impact factor: 2.794

Review 2.  Metabolomics in the study of spontaneous animal diseases.

Authors:  Helena Tran; Malcolm McConville; Panayiotis Loukopoulos
Journal:  J Vet Diagn Invest       Date:  2020-08-18       Impact factor: 1.279

Review 3.  Energy metabolism in nuclear reprogramming.

Authors:  Clifford D L Folmes; Timothy J Nelson; Andre Terzic
Journal:  Biomark Med       Date:  2011-12       Impact factor: 2.851

4.  Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes.

Authors:  Steven Halouska; Bo Zhang; Rosmarie Gaupp; Shulei Lei; Emily Snell; Robert J Fenton; Raul G Barletta; Greg A Somerville; Robert Powers
Journal:  J Integr OMICS       Date:  2013-12

Review 5.  Targeting proteomics to investigate metastasis-associated mitochondrial proteins.

Authors:  Hsiu-Chuan Chou; Hong-Lin Chan
Journal:  J Bioenerg Biomembr       Date:  2012-12       Impact factor: 2.945

6.  Isotopic labeling-assisted metabolomics using LC-MS.

Authors:  C Bueschl; R Krska; B Kluger; R Schuhmacher
Journal:  Anal Bioanal Chem       Date:  2012-09-26       Impact factor: 4.142

7.  Elevated sphingosine-1-phosphate promotes sickling and sickle cell disease progression.

Authors:  Yujin Zhang; Vladimir Berka; Anren Song; Kaiqi Sun; Wei Wang; Weiru Zhang; Chen Ning; Chonghua Li; Qibo Zhang; Mikhail Bogdanov; Danny C Alexander; Michael V Milburn; Mostafa H Ahmed; Han Lin; Modupe Idowu; Jun Zhang; Gregory J Kato; Osheiza Y Abdulmalik; Wenzheng Zhang; William Dowhan; Rodney E Kellems; Pumin Zhang; Jianping Jin; Martin Safo; Ah-Lim Tsai; Harinder S Juneja; Yang Xia
Journal:  J Clin Invest       Date:  2014-05-16       Impact factor: 14.808

8.  YMDB: the Yeast Metabolome Database.

Authors:  Timothy Jewison; Craig Knox; Vanessa Neveu; Yannick Djoumbou; An Chi Guo; Jacqueline Lee; Philip Liu; Rupasri Mandal; Ram Krishnamurthy; Igor Sinelnikov; Michael Wilson; David S Wishart
Journal:  Nucleic Acids Res       Date:  2011-11-07       Impact factor: 16.971

9.  Potential metabolic mechanism of girls' central precocious puberty: a network analysis on urine metabonomics data.

Authors:  Linlin Yang; Kailin Tang; Ying Qi; Hao Ye; Wenlian Chen; Yongyu Zhang; Zhiwei Cao
Journal:  BMC Syst Biol       Date:  2012-12-17

10.  Phytochemical composition of Potentilla anserina L. analyzed by an integrative GC-MS and LC-MS metabolomics platform.

Authors:  Angela Mari; David Lyon; Lena Fragner; Paola Montoro; Sonia Piacente; Stefanie Wienkoop; Volker Egelhofer; Wolfram Weckwerth
Journal:  Metabolomics       Date:  2012-11-17       Impact factor: 4.290

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