Literature DB >> 16154652

The next wave in metabolome analysis.

Jens Nielsen1, Stephen Oliver.   

Abstract

The metabolome of a cell represents the amplification and integration of signals from other functional genomic levels, such as the transcriptome and the proteome. Although this makes metabolomics a useful tool for the high-throughput analysis of phenotypes, the lack of a direct connection to the genome makes it difficult to interpret metabolomic data. Nevertheless, functional genomics has produced examples of the use of metabolomics to elucidate the phenotypes of otherwise silent mutations. Despite several successes, we believe that future metabolomic studies must focus on the accurate measurement of the concentrations of unambiguously identified metabolites. The research community must develop databases of metabolite concentrations in cells that are grown in several well-defined conditions if metabolomic data are to be integrated meaningfully with data from the other levels of functional-genomic analysis and to make a significant contribution to systems biology.

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Year:  2005        PMID: 16154652     DOI: 10.1016/j.tibtech.2005.08.005

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  46 in total

Review 1.  Carbon metabolism of intracellular bacterial pathogens and possible links to virulence.

Authors:  Wolfgang Eisenreich; Thomas Dandekar; Jürgen Heesemann; Werner Goebel
Journal:  Nat Rev Microbiol       Date:  2010-05-10       Impact factor: 60.633

2.  Automated refinement and inference of analytical models for metabolic networks.

Authors:  Michael D Schmidt; Ravishankar R Vallabhajosyula; Jerry W Jenkins; Jonathan E Hood; Abhishek S Soni; John P Wikswo; Hod Lipson
Journal:  Phys Biol       Date:  2011-08-10       Impact factor: 2.583

Review 3.  The use of high-dimensional biology (genomics, transcriptomics, proteomics, and metabolomics) to understand the preterm parturition syndrome.

Authors:  R Romero; J Espinoza; F Gotsch; J P Kusanovic; L A Friel; O Erez; S Mazaki-Tovi; N G Than; S Hassan; G Tromp
Journal:  BJOG       Date:  2006-12       Impact factor: 6.531

Review 4.  Guidelines for the design, analysis and interpretation of 'omics' data: focus on human endometrium.

Authors:  Signe Altmäe; Francisco J Esteban; Anneli Stavreus-Evers; Carlos Simón; Linda Giudice; Bruce A Lessey; Jose A Horcajadas; Nick S Macklon; Thomas D'Hooghe; Cristina Campoy; Bart C Fauser; Lois A Salamonsen; Andres Salumets
Journal:  Hum Reprod Update       Date:  2013-09-29       Impact factor: 15.610

5.  Integrating large-scale functional genomic data to dissect the complexity of yeast regulatory networks.

Authors:  Jun Zhu; Bin Zhang; Erin N Smith; Becky Drees; Rachel B Brem; Leonid Kruglyak; Roger E Bumgarner; Eric E Schadt
Journal:  Nat Genet       Date:  2008-06-15       Impact factor: 38.330

6.  Discovery of potential biomarkers for osteoporosis using LC-MS/MS metabolomic methods.

Authors:  J Wang; D Yan; A Zhao; X Hou; X Zheng; P Chen; Y Bao; W Jia; C Hu; Z-L Zhang; W Jia
Journal:  Osteoporos Int       Date:  2019-02-18       Impact factor: 4.507

7.  Genome-scale model for Clostridium acetobutylicum: Part II. Development of specific proton flux states and numerically determined sub-systems.

Authors:  Ryan S Senger; Eleftherios T Papoutsakis
Journal:  Biotechnol Bioeng       Date:  2008-12-01       Impact factor: 4.530

8.  Integrated metabolite and gene expression profiles identify lipid biomarkers associated with progression of hepatocellular carcinoma and patient outcomes.

Authors:  Anuradha Budhu; Stephanie Roessler; Xuelian Zhao; Zhipeng Yu; Marshonna Forgues; Junfang Ji; Edward Karoly; Lun-Xiu Qin; Qing-Hai Ye; Hu-Liang Jia; Jia Fan; Hui-Chuan Sun; Zhao-You Tang; Xin Wei Wang
Journal:  Gastroenterology       Date:  2013-01-31       Impact factor: 22.682

9.  Metabolite profiling uncovers plasmid-induced cobalt limitation under methylotrophic growth conditions.

Authors:  Patrick Kiefer; Markus Buchhaupt; Philipp Christen; Björn Kaup; Jens Schrader; Julia A Vorholt
Journal:  PLoS One       Date:  2009-11-13       Impact factor: 3.240

10.  High-resolution extracted ion chromatography, a new tool for metabolomics and lipidomics using a second-generation orbitrap mass spectrometer.

Authors:  Albert Koulman; Gary Woffendin; Vinod K Narayana; Helen Welchman; Catharina Crone; Dietrich A Volmer
Journal:  Rapid Commun Mass Spectrom       Date:  2009-05       Impact factor: 2.419

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