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PMID: 19282977 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Genome-scale reconstruction of Escherichia coli's transcriptional and translational machinery: a knowledge base, its mathematical formulation, and its functional characterization.

PLoS computational biology ·Vol. 5 ·No. 3 ·2009-03-00 ·Pages e1000312

Thiele I, Jamshidi N, Fleming RM, Palsson BØ

Abstract

Metabolic network reconstructions represent valuable scaffolds for '-omics' data integration and are used to computationally interrogate network properties. However, they do not explicitly account for the synthesis of macromolecules (i.e., proteins and RNA). Here, we present the first genome-scale, fine-grained reconstruction of Escherichia coli's transcriptional and translational machinery, which produces 423 functional gene products in a sequence-specific manner and accounts for all necessary chemical transformations. Legacy data from over 500 publications and three databases were reviewed, and many pathways were considered, including stable RNA maturation and modification, protein complex formation, and iron-sulfur cluster biogenesis. This reconstruction represents the most comprehensive knowledge base for these important cellular functions in E. coli and is unique in its scope. Furthermore, it was converted into a mathematical model and used to: (1) quantitatively integrate gene expression data as reaction constraints and (2) compute functional network states, which were compared to reported experimental data. For example, the model predicted accurately the ribosome production, without any parameterization. Also, in silico rRNA operon deletion suggested that a high RNA polymerase density on the remaining rRNA operons is needed to reproduce the reported experimental ribosome numbers. Moreover, functional protein modules were determined, and many were found to contain gene products from multiple subsystems, highlighting the functional interaction of these proteins. This genome-scale reconstruction of E. coli's transcriptional and translational machinery presents a milestone in systems biology because it will enable quantitative integration of '-omics' datasets and thus the study of the mechanistic principles underlying the genotype-phenotype relationship.

MeSH Terms
Computer Simulation Databases, Protein Escherichia coli/physiology Escherichia coli Proteins/physiology Gene Expression Regulation, Bacterial/physiology Genome, Bacterial/physiology Models, Biological Protein Modification, Translational/physiology Transcription Factors/physiology Transcription, Genetic/physiology
Chemicals
Escherichia coli Proteins Transcription Factors
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Thiele Ines
University of California San Diego, La Jolla, California, United States of America.
Jamshidi Neema
Fleming Ronan M T
Palsson Bernhard Ø
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2009-03-00
Epub
2009-00-13
Pages
e1000312
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC2648898
Subset
IM
Grants
PHS HHS · R0157089 · United States
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