Literature DB >> 18405993

Monitoring of transcriptome and proteome profiles to investigate the cellular response of E. coli towards recombinant protein expression under defined chemostat conditions.

Karin Dürrschmid1, Helga Reischer, Wolfgang Schmidt-Heck, Thomas Hrebicek, Reinhard Guthke, Andreas Rizzi, Karl Bayer.   

Abstract

The use of strong promoter systems for recombinant protein production generates high product yields, but also overburdens the host cell metabolism and compromises production. Escherichia coli has highly developed regulatory pathways that are immediately responsive to adverse conditions. To gain insight into stress response mechanisms and to detect marker genes and proteins for stress specific monitoring time course analysis of controlled chemostat cultivations was performed using E. coli total microarray and difference gel electrophoresis (Ettan DIGE). In order to detect differences and consistencies of stress response as well as the impact of the inducer isopropyl-beta-d-thiogalactopyranosid on cells, expression of two recombinant proteins (hSOD and GFPmut3.1) was investigated. Genes involved in aerobic metabolism under control of the ArcB/ArcA two component system were found to be down-regulated, and the interplay of the psp operon, ArcA system and guanosine tetraphosphate is suggested to be involved in stress regulatory mechanisms. A distinct impact of the two recombinant proteins was observed, particularly on levels of known stress regulatory genes and proteins, as well as on the response associated with ArcA and psp. Altogether, 62 genes as well as seven proteins showed consistent expression levels due to recombinant gene expression, and are therefore suggested to be appropriate monitoring targets.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18405993     DOI: 10.1016/j.jbiotec.2008.02.013

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  16 in total

1.  Anaerobic α-amylase production and secretion with fumarate as the final electron acceptor in Saccharomyces cerevisiae.

Authors:  Zihe Liu; Tobias Österlund; Jin Hou; Dina Petranovic; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2013-02-22       Impact factor: 4.792

2.  High-yield intra- and extracellular protein production using Bacillus megaterium.

Authors:  Simon Stammen; Britta Katrin Müller; Claudia Korneli; Rebekka Biedendieck; Martin Gamer; Ezequiel Franco-Lara; Dieter Jahn
Journal:  Appl Environ Microbiol       Date:  2010-04-30       Impact factor: 4.792

3.  Efficient feeding profile optimization for recombinant protein production using physiological information.

Authors:  Patrick Wechselberger; Patrick Sagmeister; Helge Engelking; Torsten Schmidt; Jana Wenger; Christoph Herwig
Journal:  Bioprocess Biosyst Eng       Date:  2012-06-28       Impact factor: 3.210

4.  Dynamic transcriptional response of Escherichia coli to inclusion body formation.

Authors:  Faraz Baig; Lawrence P Fernando; Mary Alice Salazar; Rhonda R Powell; Terri F Bruce; Sarah W Harcum
Journal:  Biotechnol Bioeng       Date:  2014-01-30       Impact factor: 4.530

5.  Physiological and proteomic analysis of Escherichia coli iron-limited chemostat growth.

Authors:  James Patrick Folsom; Albert E Parker; Ross P Carlson
Journal:  J Bacteriol       Date:  2014-05-16       Impact factor: 3.490

6.  Supplementation of substrate uptake gene enhances the expression of rhIFN-β in high cell density fed-batch cultures of Escherichia coli.

Authors:  Anuradha B Singh; Krishna J Mukherjee
Journal:  Mol Biotechnol       Date:  2013-06       Impact factor: 2.695

7.  Interactive visualization of clusters in microarray data: an efficient tool for improved metabolic analysis of E. coli.

Authors:  Theresa Scharl; Gerald Striedner; Florentina Pötschacher; Friedrich Leisch; Karl Bayer
Journal:  Microb Cell Fact       Date:  2009-07-15       Impact factor: 5.328

8.  Improved production of a heterologous amylase in Saccharomyces cerevisiae by inverse metabolic engineering.

Authors:  Zihe Liu; Lifang Liu; Tobias Österlund; Jin Hou; Mingtao Huang; Linn Fagerberg; Dina Petranovic; Mathias Uhlén; Jens Nielsen
Journal:  Appl Environ Microbiol       Date:  2014-06-27       Impact factor: 4.792

9.  Model-based analysis on the extractability of information from data in dynamic fed-batch experiments.

Authors:  Patrick Wechselberger; Patrick Sagmeister; Christoph Herwig
Journal:  Biotechnol Prog       Date:  2013-01-23

10.  Construction and characterization of an in-vivo linear covalently closed DNA vector production system.

Authors:  Nafiseh Nafissi; Roderick Slavcev
Journal:  Microb Cell Fact       Date:  2012-12-06       Impact factor: 5.328

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.