Applying a Metabolic Footprinting Approach to Characterize the Impact of the Recombinant Protein Production in Escherichia coli

  • Sónia Carneiro
  • Silas G. Villas-Bôas
  • Isabel Rocha
  • Eugénio C. Ferreira
Conference paper

DOI: 10.1007/978-3-642-13214-8_25

Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 74)
Cite this paper as:
Carneiro S., Villas-Bôas S.G., Rocha I., Ferreira E.C. (2010) Applying a Metabolic Footprinting Approach to Characterize the Impact of the Recombinant Protein Production in Escherichia coli. In: Rocha M.P., Riverola F.F., Shatkay H., Corchado J.M. (eds) Advances in Bioinformatics. Advances in Intelligent and Soft Computing, vol 74. Springer, Berlin, Heidelberg

Abstract

In this study metabolic footprinting was applied to evaluate the metabolic consequences of protein overproduction at slow growth conditions (μ= 0.1 h− 1). The extracellular metabolites detected by gas chromatography-mass spectrometry characterized the metabolic footprints before and after the induction of the recombinant protein production (i.e. pre- and post-induction phases). Metabolic footprinting enabled the discrimination between the two growth phases and exposed significant alterations in the extracellular milieu during the recombinant process.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Sónia Carneiro
    • 1
  • Silas G. Villas-Bôas
    • 2
  • Isabel Rocha
    • 1
  • Eugénio C. Ferreira
    • 1
  1. 1.IBB - Institute for Biotechnology and Bioengineering, Centre of Biological EngineeringUniversity of MinhoBragaPortugal
  2. 2.School of Biological SciencesThe University of AucklandAucklandNew Zealand

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