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  • Reduced T helper and B lymphocytes in Parkinson’s disease
    (2012) Stevens, Claire H; Rowe, Dominic; Morel-Kopp, Marie-Christine; Orr, Carolyn; Ranola, Madelaine; Ward, Christopher; Halliday, Glenda; Russell, Tonia
    Journal Article
    Gene association with HLA suggests involvement of immune mediated mechanisms in the pathogenesis of Parkinson’s disease (PD). Only a small number of studies have found differences between circulating leukocyte populations in PD patients compared to controls, with conflicting results. To clarify whether there is a circulating leukocyte PD phenotype, we assessed the numbers of T, B and natural killer cells, and monocytes and found a small reduction (15-25%) in CD4+ T and CD19+ B cells in PD. These findings suggest some compromise in immune cells in PD and have potential implications for immune function and the progression of PD.
  • Pathway Analysis of the Human Brain Transcriptome in Disease
    (2013) Kavanagh, Tomas; Mills, James D; Kim, Woojin S; Halliday, Glenda; Janitz, Michael
    Journal Article
    Pathway analysis is a powerful method for discerning differentially regulated genes and elucidating their biological importance. It allows for the identification of perturbed or aberrantly expressed genes within a biological context from extensive data sets and offers a simplistic approach for interrogating such datasets. With the growing use of microarrays and RNA-Seq data for genome wide studies is growing at an alarming rate and the use of deep sequencing is revealing elements of the genome previously uncharacterised. Through the employment of pathway analysis, mechanisms in complex diseases may be explored, and novel causatives found primarily through differentially regulated genes. Further, with the implementation of next generation sequencing (NGS) a deeper resolution may be attained, particularly in identification of isoform diversity and SNP’s. Here we look at a broad overview of pathway analysis in the human brain transcriptome and its relevance in teasing out underlying causes of complex diseases. We will outline processes in data gathering and analysis of particular diseases in which these approaches have been successful.
  • Is Seladin-1 really a Selective Alzheimer’s Disease Indicator?
    (2012) Wong, Jenny; Garner, Brett; Halliday, Glenda; Sharpe, Laura J; Brown, Andrew J
    Journal Article
    Selective Alzheimer’s Disease Indicator-1 (Seladin-1) was originally identified by its down-regulation in the brains of Alzheimer’s Disease (AD) patients. Here, we re-examine existing data and present new gene expression data that refutes its role as a selective AD indicator. Furthermore, we caution against the use of the name “Seladin-1” and instead recommend adoption of the approved nomenclature, 3â-hydroxysterol Ä24-reductase (or DHCR24), which describes its catalytic function in cholesterol synthesis. Further work is required to determine what link, if any, exists between DHCR24 and AD.