|
OMICS: A Journal of Integrative Biology
Liver Tumors in Wild Flatfish: A Histopathological, Proteomic, and Metabolomic Study
To cite this article:
G.D. Stentiford, M.R. Viant, D.G. Ward, P.J. Johnson, A. Martin, Wei Wenbin, H.J. Cooper, B.P. Lyons, S.W. Feist.
OMICS: A Journal of Integrative Biology.
Fall 2005,
9(3): 281-299.
doi:10.1089/omi.2005.9.281.
Dr. G.D. Stentiford CEFAS Weymouth Laboratory, Dorset United Kingdom. M.R. Viant School of Biosciences, University of Birmingham, Birmingham United Kingdom. D.G. Ward Cancer Research UK, Institute for Cancer Studies, University of Birmingham, Birmingham United Kingdom. P.J. Johnson Cancer Research UK, Institute for Cancer Studies, University of Birmingham, Birmingham United Kingdom. A. Martin Cancer Research UK, Institute for Cancer Studies, University of Birmingham, Birmingham United Kingdom. Wei Wenbin Cancer Research UK, Institute for Cancer Studies, University of Birmingham, Birmingham United Kingdom. H.J. Cooper School of Biosciences, University of Birmingham, Birmingham United Kingdom. B.P. Lyons CEFAS Weymouth Laboratory, Dorset United Kingdom. S.W. Feist CEFAS Weymouth Laboratory, Dorset United Kingdom. Fish play host to viral, bacterial, and parasitic diseases in addition to non-infectious conditions such as cancer. The National Marine Monitoring Programme (NMMP) provides information to the U.K. Government on the health status of marine fish stocks. An aspect of this work relates to the presence of tumors and other pathologies in the liver of the offshore sentinel flatfish species, dab (Limanda limanda). Using internationally agreed quality assurance criteria, tumors and pre-tumors are diagnosed using histopathology. The current study has expanded upon this work by integrating these traditional diagnostic approaches with ones utilizing modern technologies for analysis of proteomic and metabolomic profiles of selected lesions. We have applied SELDI and FT-ICR technologies (for proteomic and metabolomic analyses, respectively) to tumor and non-tumor samples resected from the liver of dab. This combined approach has demonstrated how these technologies are able to identify protein and metabolite profiles that are specific to liver tumors. Using histopathology to classify "analysis groups" is key to the success of such an approach since it allows for elimination of spurious samples (e.g., those containing parasite infections) that may confuse interpretation of "omic" data. As such, the pathology laboratory plays a central role in collating information relating to particular specimens and in establishing sampling groups relative to specific diagnostic questions. In this study, we present pilot data, which illustrates that proteomics and metabolomics can be used to discriminate fish liver tumors and suggest future directions for work of this type.  This paper was cited by:1H-NMR and mass spectrometric characterization of the metabolic response of juvenile Atlantic salmon (Salmo salar) to long-term handling stress Tobias K. Karakach, Elizabeth C. Huenupi, Evelyn C. Soo, John A. Walter, Luis O. B. Afonso Metabolomics. Apr 2009, Vol. 5, No. 1: 123-137 CrossRef Environmental metabolomics: a critical review and future perspectives Jacob G. Bundy, Matthew P. Davey, Mark R. Viant Metabolomics. Apr 2009, Vol. 5, No. 1: 3-21 CrossRef Contributions from metabolomics to fish research Linda M. Samuelsson, D. G. Joakim Larsson Molecular BioSystems. Feb 2008, Vol. 4, No. 10: 974 CrossRef Metabonomic technique and prospect of its application in integrated traditional Chinese and Western medicine research Bin Wu Journal of Chinese Integrative Medicine. Aug 2007: 475-480 CrossRef Evaluation of metabolite extraction strategies from tissue samples using NMR metabolomics Ching Yu Lin, Huifeng Wu, Ronald S. Tjeerdema, Mark R. Viant Metabolomics. Apr 2007, Vol. 3, No. 1: 55-67 CrossRef Metabolomics: Methodologies and applications in the environmental sciences Ching Yu Lin, Mark R. Viant, Ronald S. Tjeerdema Journal of Pesticide Science. Feb 2006, Vol. 31, No. 3: 245-251 CrossRef
|
|