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Daniel J. Fazakerley
Researcher at University of Sydney
Publications - 74
Citations - 3089
Daniel J. Fazakerley is an academic researcher from University of Sydney. The author has contributed to research in topics: Insulin & Insulin resistance. The author has an hindex of 25, co-authored 63 publications receiving 2232 citations. Previous affiliations of Daniel J. Fazakerley include University of Cambridge & National Institutes of Health.
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Journal ArticleDOI
Insulin regulates Rab3–Noc2 complex dissociation to promote GLUT4 translocation in rat adipocytes
Francoise Koumanov,Vinit J. Pereira,Judith D. Richardson,Samantha L. Sargent,Daniel J. Fazakerley,Geoffrey D. Holman +5 more
TL;DR: The discovery of the involvement of Rab3 and Noc2 in an insulin-regulated step in GLUT4 translocation suggests that the control of this translocation process is unexpectedly similar to regulated secretion and particularly pancreatic insulin-vesicle release.
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Systems-level analysis of insulin action in mouse strains provides insight into tissue- and pathway-specific interactions that drive insulin resistance
Marin E. Nelson,Søren Nørvang Madsen,Kristen C. Cooke,Andreas M. Fritzen,Ida H. Thorius,Stewart W. C. Masson,Luke Carroll,Fiona Weiss,Marcus M. Seldin,Meg Potter,Samantha L. Hocking,Daniel J. Fazakerley,Amanda E. Brandon,Senthil Thillainadesan,Alistair M. Senior,Gregory J. Cooney,Jacqueline Stöckli,David E. James +17 more
TL;DR: In this article , the authors leveraged the metabolic diversity of different dietary exposures and discrete inbred mouse strains to uncover pathways involved in insulin resistance, specifically in these tissues, and leveraged this information to reveal that muscle insulin resistance was driven by gene-by-environment interactions and was strongly correlated with hyperinsulinemia and decreased levels of ten key glycolytic enzymes.
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Signaling Heterogeneity is Defined by Pathway Architecture and Intercellular Variability in Protein Expression.
Dougall M. Norris,Pengyi Yang,Pengyi Yang,Sung-Young Shin,Alison L Kearney,Hani Jieun Kim,Hani Jieun Kim,Thomas A Geddes,Thomas A Geddes,Alistair M. Senior,Daniel J. Fazakerley,Lan K. Nguyen,David E. James,James G. Burchfield +13 more
TL;DR: The response of a population to insulin signaling is underpinned by considerable single-cell heterogeneity that is largely driven by variance in gene/protein expression between cells.
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Exposure to solar ultraviolet radiation limits diet-induced weight gain, increases liver triglycerides and prevents the early signs of cardiovascular disease in mice
Angela Ferguson,Lai-Fong Kok,J.K. Luong,M. Van Den Bergh,Kim S. Bell-Anderson,Daniel J. Fazakerley,Scott N. Byrne +6 more
TL;DR: The results show that the UV contained in sunlight has the potential to prevent and treat chronic disease at sites distant from irradiated skin.
Journal ArticleDOI
Unraveling Kinase Activation Dynamics Using Kinase-Substrate Relationships from Temporal Large-Scale Phosphoproteomics Studies.
Westa Domanova,James R. Krycer,Rima Chaudhuri,Pengyi Yang,Fatemeh Vafaee,Daniel J. Fazakerley,Sean J. Humphrey,David E. James,Zdenka Kuncic +8 more
TL;DR: KSR-LIVE as mentioned in this paper is an open-access algorithm that allows users to dissect phosphorylation signaling within a specific biological context, with the potential to be included in the standard analysis workflow for studying temporal highthroughput signal transduction data.