Linked Life Data

17055605

Source:http://linkedlifedata.com/resource/pubmed/id/17055605

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2006-12-26
pubmed:abstractText
Metabolic flux analysis using (13)C-labeled substrates is a well-developed method for investigating cellular behavior in steady-state culture condition. To extend its application, in particular to typical industrial conditions, such as batch and fed-batch cultivations, a novel method of (13)C metabolic flux analysis is proposed. An isotopomer balancing model was developed to elucidate flux distributions in the central metabolism and all amino acids synthetic pathways. A lysine-producing strain of Escherichia coli was cultivated by fed-batch mode in a growth medium containing yeast extract. Mass distribution data was derived from both intracellular free amino acids and proteinogenic amino acids measured by LC-MS/MS, and a correction parameter for the protein turnover effect on the mass distributions of intracellular amino acids was introduced. Metabolic flux distributions were determined in both exponential and stationary phases. Using this new approach, a culture phase-dependent metabolic shift was detected in the fed-batch culture. The approach presented here has great potential for investigating cellular behavior in industrial processes, independent of cultivation modes, metabolic phase and growth medium.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0168-1656
pubmed:author
pubmed:issnType
Print
pubmed:day
30
pubmed:volume
128
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
93-111
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Determination of metabolic flux changes during fed-batch cultivation from measurements of intracellular amino acids by LC-MS/MS.
pubmed:affiliation
Systems Biology Group, Institute of Life Sciences, Ajinomoto Co., Inc., Kawasaki 210-8681, Japan. shintaro_iwatani@ajinomoto.com
pubmed:publicationType
Journal Article