Title |
GC-MS/MS survey of collision-induced dissociation of tert-butyldimethylsilyl-derivatized amino acids and its application to 13C-metabolic flux analysis of Escherichia coli central metabolism
|
---|---|
Published in |
Analytical & Bioanalytical Chemistry, June 2016
|
DOI | 10.1007/s00216-016-9724-4 |
Pubmed ID | |
Authors |
Nobuyuki Okahashi, Shuichi Kawana, Junko Iida, Hiroshi Shimizu, Fumio Matsuda |
Abstract |
Stable isotope labeling experiments using mass spectrometry have been employed to investigate carbon flow levels (metabolic flux) in mammalian, plant, and microbial cells. To achieve a more precise (13)C-metabolic flux analysis ((13)C-MFA), novel fragmentations of tert-butyldimethylsilyl (TBDMS)-amino acids were investigated by gas chromatography-tandem mass spectrometry (GC-MS/MS). The product ion scan analyses of 15 TBDMS-amino acids revealed 24 novel fragment ions. The amino acid-derived carbons included in the five fragment ions were identified by the analyses of (13)C-labeled authentic standards. The identification of the fragment ion at m/z 170 indicated that the isotopic abundance of S-methyl carbon in methionine could be determined from the cleavage of C5 in the precursor of [M-159](+) (m/z 218). It was also confirmed that the precision of (13)C-MFA in Escherichia coli central carbon metabolism could be improved by introducing (13)C-labeling data derived from novel fragmentations. Graphical Abstract Novel collision-induced dissociation fragmentations of tert-butyldimethylsilyl amino acids were investigated and identified by GC-MS/MS. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
South Africa | 1 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 40% |
Scientists | 2 | 40% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 28% |
Student > Ph. D. Student | 8 | 25% |
Professor > Associate Professor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 2 | 6% |
Other | 5 | 16% |
Unknown | 3 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 7 | 22% |
Medicine and Dentistry | 5 | 16% |
Biochemistry, Genetics and Molecular Biology | 3 | 9% |
Chemical Engineering | 3 | 9% |
Engineering | 3 | 9% |
Other | 4 | 13% |
Unknown | 7 | 22% |