His scientific interests lie mostly in Metabolomics, Internal medicine, Endocrinology, Bioinformatics and Biochemistry. His studies deal with areas such as Proteomics, Lipidomics, Genomics, Metabolite and Computational biology as well as Metabolomics. His Internal medicine research is multidisciplinary, incorporating perspectives in Glutamine and Cardiology.
Julian L. Griffin works mostly in the field of Endocrinology, limiting it down to concerns involving Polyunsaturated fatty acid and, occasionally, Cohort study, Blood plasma, Case-control study, Kinase and Apoptosis. While the research belongs to areas of Bioinformatics, Julian L. Griffin spends his time largely on the problem of Disease, intersecting his research to questions surrounding Biomarker discovery. His Biochemistry study integrates concerns from other disciplines, such as Magic angle spinning and Nuclear magnetic resonance spectroscopy.
Internal medicine, Metabolomics, Endocrinology, Biochemistry and Bioinformatics are his primary areas of study. His Internal medicine study frequently links to other fields, such as Nitrate. Julian L. Griffin combines subjects such as Metabolite, Proteomics, Computational biology and Disease with his study of Metabolomics.
His study in Insulin resistance, Metabolism, Adipose tissue, Lipogenesis and Type 2 diabetes falls under the purview of Endocrinology. His studies in Biochemistry integrate themes in fields like Nuclear magnetic resonance spectroscopy and Fatty liver. Julian L. Griffin has included themes like Genomics and Biomarker discovery in his Bioinformatics study.
Julian L. Griffin spends much of his time researching Internal medicine, Endocrinology, Lipidomics, Lipid metabolism and Metabolism. His study connects Methionine and Internal medicine. His research in the fields of Carbohydrate metabolism, Insulin resistance and Lipogenesis overlaps with other disciplines such as MTRR.
His work on Lipidome as part of his general Lipidomics study is frequently connected to Galactosylceramides, thereby bridging the divide between different branches of science. The concepts of his Lipid metabolism study are interwoven with issues in Adipose tissue, Transcriptome, KRAS and Cancer research. His research investigates the connection between Metabolic pathway and topics such as Fatty acid metabolism that intersect with issues in Metabolomics.
The scientist’s investigation covers issues in Cancer research, Insulin resistance, Lipogenesis, Metabolism and Lipidomics. His research in Insulin resistance tackles topics such as Bioinformatics which are related to areas like Glycine, Polymorphism and Meta-analysis. Endocrinology and Internal medicine are all intrinsically tied to his study in Lipogenesis.
Julian L. Griffin interconnects Leucine, Glutamine and Protein kinase B in the investigation of issues within Endocrinology. His biological study spans a wide range of topics, including Acclimatization and Isoleucine. His Metabolism research incorporates themes from Ex vivo, Computational biology, Small molecule and Triglyceride.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Proposed minimum reporting standards for chemical analysis
Lloyd W. Sumner;Alexander Amberg;Dave Barrett;Michael H. Beale.
Metabolomics (2007)
Mitochondrial dysfunction in schizophrenia: evidence for compromised brain metabolism and oxidative stress.
S. Prabakaran;S. Prabakaran;J. E. Swatton;J. E. Swatton;M. M. Ryan;M. M. Ryan;S. J. Huffaker;S. J. Huffaker.
Molecular Psychiatry (2004)
METABOLIC PROFILES OF CANCER CELLS
Julian L. Griffin;John P. Shockcor.
Nature Reviews Cancer (2004)
Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy
Warwick B. Dunn;David I. Broadhurst;Helen J. Atherton;Helen J. Atherton;Royston Goodacre.
Chemical Society Reviews (2011)
MetaboLights—an open-access general-purpose repository for metabolomics studies and associated meta-data
Kenneth Haug;Reza M. Salek;Pablo Conesa;Janna Hastings.
Nucleic Acids Research (2013)
Modeling inherited metabolic disorders of the liver using human induced pluripotent stem cells
S. Tamir Rashid;Sebastien Corbineau;Nick Hannan;Stefan J. Marciniak.
Journal of Clinical Investigation (2010)
Mapping the Arabidopsis organelle proteome
Tom P. J. Dunkley;Svenja Hester;Ian P. Shadforth;John Runions.
Proceedings of the National Academy of Sciences of the United States of America (2006)
Toward interoperable bioscience data
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Nature Genetics (2012)
Metabolic fingerprinting as a diagnostic tool
David I Ellis;Warwick B Dunn;Julian L Griffin;J William Allwood.
Pharmacogenomics (2007)
Novel Theranostic Opportunities Offered by Characterization of Altered Membrane Lipid Metabolism in Breast Cancer Progression
Mika Hilvo;Carsten Denkert;Laura Lehtinen;Berit Müller.
Cancer Research (2011)
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