title: Impact of profiling technologies in the understanding of recombinant protein production.
abstract: Since expression profiling methods have been available in a high throughput fashion, the implication of these technologies in the field of biotechnology has increased dramatically. Microarray technology is one such unique and efficient methodology for simultaneous exploration of expression levels of numerous genes. Likewise, two-dimensional gel electrophoresis or multidimensional liquid chromatography coupled with mass spectrometry are extensively utilised for studying expression levels of numerous proteins. In the field of biotechnology these highly parallel analytical methods have paved the way to study and understand various biological phenomena depending on expression patterns. The next phenomenological level is represented by the metabolome and the (metabolic) fluxome. However, this chapter reviews gene and protein profiling and their impact on understanding recombinant protein production. We focus on the computational methods utilised for the analyses of data obtained from these profiling technologies as well as prominent results focusing on recombinant protein expression with Escherichia coli. Owing to the knowledge accumulated with respect to cellular signals triggered during recombinant protein production, this field is on the way to design strategies for developing improved processes. Both gene and protein profiling have exhibited a handful of functional categories to concentrate on in order to identify target genes and proteins, respectively, involved in the signalling network with major impact on recombinant protein production.
authors.affiliation: International NRW Graduate School in Bioinformatics and Genome Research, CeBiTec, Bielefeld University, 33594, Bielefeld, Germany, cvijayen@cebitec.uni-bielefeld.de.
authors.forename: Chandran
authors.initials: C
authors.lastname: Vijayendran
authors.forename: Erwin
authors.initials: E
authors.lastname: Flaschel
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology; D046228:Microarray Analysis / Q000379:methods*; D008954:Models, Biological; D010449:Peptide Mapping / Q000379:methods*; D025941:Protein Interaction Mapping / Q000379:methods*; D020543:Proteome / Q000378:metabolism*; D011994:Recombinant Proteins / Q000096:biosynthesis*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome; D011994:Recombinant Proteins