New surveyor tools for charting microbial metabolic maps

Rainer Breitling; Dennis Vitkup; Michael P. Barrett

doi:10.1038/nrmicro1797

New surveyor tools for charting microbial metabolic maps

Rainer Breitling^*, Dennis Vitkup, Michael P. Barrett

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

79 Citations (Scopus)

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Abstract

The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.

Original language	English
Pages (from-to)	156-161
Number of pages	6
Journal	Nature Reviews Microbiology
Volume	6
Issue number	2
DOIs	https://doi.org/10.1038/nrmicro1797
Publication status	Published - Feb-2008

Keywords

GENOME-SCALE RECONSTRUCTION
ESCHERICHIA-COLI
MASS-SPECTROMETRY
ADAPTIVE EVOLUTION
INTERPRETING CORRELATIONS
SACCHAROMYCES-CEREVISIAE
CAUSAL CONNECTIVITIES
NETWORKS
ENZYMES
PATHWAY

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@article{9332820e91d2419cb6fd1d3fc715396e,

title = "New surveyor tools for charting microbial metabolic maps",

abstract = "The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.",

keywords = "GENOME-SCALE RECONSTRUCTION, ESCHERICHIA-COLI, MASS-SPECTROMETRY, ADAPTIVE EVOLUTION, INTERPRETING CORRELATIONS, SACCHAROMYCES-CEREVISIAE, CAUSAL CONNECTIVITIES, NETWORKS, ENZYMES, PATHWAY",

author = "Rainer Breitling and Dennis Vitkup and Barrett, {Michael P.}",

year = "2008",

month = feb,

doi = "10.1038/nrmicro1797",

language = "English",

volume = "6",

pages = "156--161",

journal = "Nature Reviews Microbiology",

issn = "1740-1526",

publisher = "Nature Publishing Group",

number = "2",

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T1 - New surveyor tools for charting microbial metabolic maps

AU - Breitling, Rainer

AU - Vitkup, Dennis

AU - Barrett, Michael P.

PY - 2008/2

Y1 - 2008/2

N2 - The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.

AB - The computational reconstruction and analysis of cellular models of microbial metabolism is one of the great success stories of systems biology. The extent and quality of metabolic network reconstructions is, however, limited by the current state of biochemical knowledge. Can experimental high-throughput data be used to improve and expand network reconstructions to include unexplored areas of metabolism? Recent advances in experimental technology and analytical methods bring this aim an important step closer to realization. Data integration will play a particularly important part in exploiting the new experimental opportunities.

KW - GENOME-SCALE RECONSTRUCTION

KW - ESCHERICHIA-COLI

KW - MASS-SPECTROMETRY

KW - ADAPTIVE EVOLUTION

KW - INTERPRETING CORRELATIONS

KW - SACCHAROMYCES-CEREVISIAE

KW - CAUSAL CONNECTIVITIES

KW - NETWORKS

KW - ENZYMES

KW - PATHWAY

U2 - 10.1038/nrmicro1797

DO - 10.1038/nrmicro1797

M3 - Review article

SN - 1740-1526

VL - 6

SP - 156

EP - 161

JO - Nature Reviews Microbiology

JF - Nature Reviews Microbiology

IS - 2

ER -

New surveyor tools for charting microbial metabolic maps

Abstract

Keywords

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