title: Comparative transcriptome analysis for metabolic engineering.
abstract: Transcriptome profiling allows massively parallel analysis of the dynamic expression of all genes and captures the cell physiology and regulatory mechanism in a holistic manner. Compared to other "omic" techniques, transcriptome is more tractable and sensitive. Transcriptomics has profoundly promoted development and applications of metabolic engineering by analysis of cell metabolism at a system level. Our recent effort was performed on a comparative transcriptome profiling between a riboflavin-producing Bacillus subtilis strain RH33 and the wild-type strain B. subtilis 168 to rationally identify new targets for improving riboflavin production. This transcriptome analysis-guided method improved the riboflavin titer by 32 ± 3 %. Herein, we describe the detailed experimental protocols for predicting new engineering targets using comparative transcriptome analysis.
authors: Key Laboratory of Systems Bioengineering, Ministry of Education, Tianjin University, Tianjin, China. shuobos@chalmers.se
authors: Shuobo
authors: S
authors: Shi
authors: Tao
authors: T
authors: Chen
authors: Xueming
authors: X
authors: Zhao
mesh_terms: D001412:Bacillus subtilis / Q000235:genetics / Q000378:metabolism*; D001483:Base Sequence; D020869:Gene Expression Profiling; D016680:Genome, Bacterial; D060847:Metabolic Engineering; D053858:Metabolic Networks and Pathways / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis