2010
DOI: 10.1007/s11306-009-0194-y
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Metabolomic analysis of Atlantic blue crab, Callinectes sapidus, hemolymph following oxidative stress

Abstract: The Atlantic blue crab, Callinectes sapidus, is an economically, ecologically, and recreationally valuable decapod crustacean that inhabits estuaries along the Atlantic and Gulf coasts of the United States. In their natural environment, blue crabs are exposed to many stressors including anthropogenic contaminants, viruses and bacteria. Bacterial infection results in the depression of oxygen uptake, and impairs normal metabolic function in a manner that has not yet been fully elucidated. Our laboratory is devel… Show more

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Cited by 54 publications
(23 citation statements)
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“…Metabolomic data on marine animals have mostly been acquired by NMR [65,66], and this technology has also been combined with MS in a number of studies, representing a rather novel and complementary approach in the marine research area [67]. …”
Section: Overview Of Mass Spectrometry (Ms)-based Metabolic Profilmentioning
confidence: 99%
“…Metabolomic data on marine animals have mostly been acquired by NMR [65,66], and this technology has also been combined with MS in a number of studies, representing a rather novel and complementary approach in the marine research area [67]. …”
Section: Overview Of Mass Spectrometry (Ms)-based Metabolic Profilmentioning
confidence: 99%
“…In contrast, the application of metabolomics in the study of the hemolymph, which is strictly speaking analogous to blood in invertebrates, is largely unexploited and has lagged behind mammalian serum studies. Only a handful of reports had focused on hemolymph metabolome-based toxicity studies conducted on the Daphnid Daphniae magna (Poynton et al, 2011;Taylor et al, 2010) and disease studies of hemolymph of the Atlantic Blue Crab (Schock et al, 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore the PCs which explain the largest amounts of data variance may not always be related to the experimental treatment since PCs also incorporate other sources of metabolic variation such as sampling error and natural biological variation (Verouden et al 2009). As a result, it can be useful to consider higher order PCs in the interpretation of metabolomic datasets (Broadhurst and Kell 2006;Bundy et al 2004;Johnson et al 2007;Rochfort et al 2009;Rousseau et al 2008;Schock et al 2010;Scholz and Selbig 2007;Warne et al 2000). In this study, a better concentration-dependent separation of the PC scores was obtained by plotting PC1 versus PC3 (Fig.…”
Section: Resultsmentioning
confidence: 80%