Linked Life Data

17035678

Source:http://linkedlifedata.com/resource/pubmed/id/17035678

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-10-12
pubmed:abstractText
Gas chromatography-mass spectrometry (GC-MS) is routinely applied to the metabolite profiling of biological samples. Time-of-flight (TOF)-GC-MS metabolite profiling is based on highly reproducible electron impact ionization. Single chromatograms may comprise 200-1000 mass spectral components. The nature and composition of these mass spectral components depend on the choice of metabolite extraction, type of biological sample, and experimental condition. The components represent mass spectral tags (MSTs) of volatile metabolites or metabolite derivatives. Identification of MSTs is the major challenge in GC-MS metabolite profiling. We describe methods suitable for the automated construction of mass spectral and retention time index databases from large sets of TOF-GC-MS profiles. Application of these libraries for automated identification by pure reference compounds and classification of hitherto unidentified MSTs from biological sources is demonstrated.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1064-3745
pubmed:author
pubmed:issnType
Print
pubmed:volume
358
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
19-38
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Nonsupervised construction and application of mass spectral and retention time index libraries from time-of-flight gas chromatography-mass spectrometry metabolite profiles.
pubmed:affiliation
Department of Molecular Physiology, Max Planck Institute of Molecular Plant Physiology, Potsdam-Golm, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies