SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:umu-13582"
 

Search: onr:"swepub:oai:DiVA.org:umu-13582" > High-throughput dat...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

High-throughput data analysis for detecting and identifying differences between samples in GC/MS-based metabolomic analyses

Jonsson, Pär (author)
Umeå universitet,Kemiska institutionen
Johansson, Annika I. (author)
Gullberg, Jonas (author)
show more...
Trygg, Johan (author)
Umeå universitet,Kemiska institutionen
Jiye, A (author)
Umeå universitet,Klinisk kemi,Computational Life Science Cluster (CLiC)
Grung, Björn (author)
Marklund, Stefan (author)
Umeå universitet,Klinisk kemi
Sjöström, Michael (author)
Umeå universitet,Kemiska institutionen
Antti, Henrik (author)
Umeå universitet,Kemiska institutionen
show less...
 (creator_code:org_t)
2005-08-04
2005
English.
In: Analytical Chemistry. - : American Chemical Society (ACS). - 0003-2700 .- 1520-6882. ; 77:17, s. 5635-5642
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • In metabolomics, the objective is to identify differences in metabolite profiles between samples. A widely used tool in metabolomics investigations is gas chromatography-mass spectrometry (GC/MS). More than 400 compounds can be detected in a single analysis, if overlapping GC/ MS peaks are deconvoluted. However, the deconvolution process is time-consuming and difficult to automate, and additional processing is needed in order to compare samples. Therefore, there is a need to improve and automate the data processing strategy for data generated in GC/MS-based metabolomics; if not, the processing step will be a major bottleneck for high-throughput analyses. Here we describe a new semiautomated strategy using a hierarchical multivariate curve resolution approach that processes all samples simultaneously. The presented strategy generates (after appropriate treatment, e.g., multivariate analysis) tables of all the detected metabolites that differ in relative concentrations between samples. The processing of 70 samples took similar time to that of the GC/TOFMS analyses of the samples. The strategy has been validated using two different sets of samples: a complex mixture of standard compounds and Arabidopsis samples.KeyWords Plus: CHROMATOGRAPHY MASS-SPECTROMETRY; PRINCIPAL COMPONENT ANALYSIS; SYSTEMS BIOLOGY; ARABIDOPSIS-THALIANA; CHEMOMETRIC ANALYSIS; 2-WAY DATA; MS; REGRESSION; RESOLUTION; ALIGNMENT

Subject headings

NATURVETENSKAP  -- Biologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences (hsv//eng)

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view