Articles by Tiffany R. Butterfield in JoVE
Cytometric זרימה פשוט שיטה למדוד ספיגת הגלוקוז ואת ביטוי נשא גלוקוז עבור מונוציטים subpopulations ב דם מלא Clovis S. Palmer1,2,3, Joshua J. Anzinger4, Tiffany R. Butterfield4, Joseph M. McCune5, Suzanne M. Crowe1,2,6 1Centre for Biomedical Research, Macfarlane Burnet Institute for Medical Research and Public Health, 2Department of Infectious Diseases, Monash University, 3Department of Microbiology and Immunology, University of Melbourne, 4Department of Microbiology, The University of the West Indies, 5Division of Experimental Medicine, Department of Medicine, University of California, San Francisco, 6Department of Medicine, Monash University
Other articles by Tiffany R. Butterfield on PubMed
Optimizing Peptide Matrices for Identifying T-cell Antigens Cytometry. Part A : the Journal of the International Society for Analytical Cytology. Nov, 2008 | Pubmed ID: 18781655 Mapping T-cell epitopes for a pathogen or vaccine requires a complex method for screening hundreds to thousands of peptides with a limited amount of donor sample. We describe an optimized deconvolution process by which peptides are pooled in a matrix format to minimize the number of tests required to identify peptide epitopes. Four peptide pool matrices were constructed to deconvolute the HIV-specific T-cell response in three HIV-infected individuals. ELISpot assays were used to map peptide antigens. Many HIV peptides were mapped in all three individuals. However, there were several challenges and limitations associated with the deconvolution process. Peptides that induced low-frequency responses or were masked by peptide competition within a given pool were not identified, because they did not meet the threshold criteria for a positive response. Also, amino acid sequence variation limited the ability of this method to map autologous HIV peptides. Alternative analysis strategies and revisions to the original matrix optimizations are presented that address ways to increase peptide identification. This optimized deconvolution method allows for efficient mapping of T-cell peptide epitopes. It is rapid, powerful, efficient, and unrestricted by HLA type.
Suitability of Silica Hydride Stationary Phase, Aqueous Normal Phase Chromatography for Untargeted Metabolomic Profiling of Enterococcus Faecium and Staphylococcus Aureus Journal of Separation Science. Jul, 2009 | Pubmed ID: 19569105 We report the robustness of silica hydride stationary phase, aqueous normal phase (ANP) chromatography to the chemical complexity of the intracellular metabolomes of Staphylococcus aureus and Enterococcus faecium. We specifically demonstrate that the chromatographic behavior of known metabolites is unaffected by the intracellular chemical matrix of these microbes and that this method enables untargeted profiling of their intracellular metabolites using accurate mass-retention time (AMRT) identifiers. We further demonstrate the ability of AMRT-based metabolite profiling to differentiate bacteria along genetic and phenotypic lines. Overall, these data commend the utility of ANP-based chromatography for untargeted metabolomics-based studies of microbial physiology and antibiotic resistance.
Monocytes As Regulators of Inflammation and HIV-related Comorbidities During CART Journal of Immunology Research. 2014 | Pubmed ID: 25025081 Combined antiretroviral therapy (cART) extends the lifespan and the quality of life for HIV-infected persons but does not completely eliminate chronic immune activation and inflammation. The low level of chronic immune activation persisting during cART-treated HIV infection is associated with the development of diseases which usually occur in the elderly. Although T-cell activation has been extensively examined in the context of cART-treated HIV infection, monocyte activation is only beginning to be recognized as an important source of inflammation in this context. Here we examine markers and sources of monocyte activation during cART-treated HIV infection and discuss the role of monocytes during cardiovascular disease, HIV-associated neurocognitive disorder, and innate immune aging.