Project description:The overriding objective of this application is to seek funding for the development of a crossectional profile of immune phenotype of over 600 normal subjects between the ages of 50 and 90. As a consequence, we will infer changes in immune phenotype of normal subjects as they age. These immune phenotypic data, as well as standard laboratory tests and evaluations of questionnaires, will be used to generate a large and comprehensive database of demographic and biological information. The proposal utilizes the strengths of the Stanford Human Immune Monitoring Core (HIMC) and the unique expertise in basic immunology, immune monitoring, the development of patient registries, biostatistics and bioinformatics at Stanford. The dataset will comprise a crossectional analysis of the local San Francisco Peninsula general population between the ages of 50 and 90 (representing equal gender and representative ethnic population, and equal distribution by decade of life). The registry will contain demographic data, race/ethnicity, prescribed medications, over the counter medications, vitamins, alternative therapies, physical function questionnaire, alternative contact person, and HIPPA release. Fasting blood will be obtained for immune phenotyping. The immune profile will contain the results of both conventional and novel immune profiling assays to develop the normative immune profile of aging (using PBMC subset analysis, cytokines, and activation induced signaling of PBMCs for phosphoepitope and gene expression analyses). Data from these analyses will be useful in identifying biomarkers of the normal immune profile associated with aging as well as correlation with phenotypic aspects of aging such as sarcopenia and disability The immune profile (as well as normal blood chemistries and demographic data) of these subjects will be made available to serve as the basis for future longitudinal study of change in the immune profile over time in association with the development of co-morbidities associated with aging. in the PBMC gene expression, 120 samples were analyzed (no replicates), containing patients and controls.
Project description:The overriding objective of this application is to seek funding for the development of a crossectional profile of immune phenotype of over 600 normal subjects between the ages of 50 and 90. As a consequence, we will infer changes in immune phenotype of normal subjects as they age. These immune phenotypic data, as well as standard laboratory tests and evaluations of questionnaires, will be used to generate a large and comprehensive database of demographic and biological information. The proposal utilizes the strengths of the Stanford Human Immune Monitoring Core (HIMC) and the unique expertise in basic immunology, immune monitoring, the development of patient registries, biostatistics and bioinformatics at Stanford. The dataset will comprise a crossectional analysis of the local San Francisco Peninsula general population between the ages of 50 and 90 (representing equal gender and representative ethnic population, and equal distribution by decade of life). The registry will contain demographic data, race/ethnicity, prescribed medications, over the counter medications, vitamins, alternative therapies, physical function questionnaire, alternative contact person, and HIPPA release. Fasting blood will be obtained for immune phenotyping. The immune profile will contain the results of both conventional and novel immune profiling assays to develop the normative immune profile of aging (using PBMC subset analysis, cytokines, and activation induced signaling of PBMCs for phosphoepitope and gene expression analyses). Data from these analyses will be useful in identifying biomarkers of the normal immune profile associated with aging as well as correlation with phenotypic aspects of aging such as sarcopenia and disability The immune profile (as well as normal blood chemistries and demographic data) of these subjects will be made available to serve as the basis for future longitudinal study of change in the immune profile over time in association with the development of co-morbidities associated with aging. in the PBMC gene expression, 120 samples were analyzed (no replicates), containing patients and controls.
Project description:A study was designed to further define the viral landscape within Sjogren's Syndrome (pSS) affected salivary gland tissue to identify potential viral-mediated triggers in the pathogenesis of this autoimmune disease. Viral Probes for Vertebrate Infecting Viral Families
Project description:The transcription profiles of newly mapped Drosophila heterochromatic sequences during early embryonic stages were investigated by microarray. cDNA were prepared from manually staged wild type Oregon R embryos at various developmental stages (0-1 hr, 2-2.5 hr/cycle 13-early cycle 14, 2.5-3 hr/mid- to late cycle 14, 3-4 hr, 4-5 hr, 19-22 hr) and analyzed by microarray. cDNA prepared from Oregon R embryos with mixed developmental stages (0-16 hrs) were used as reference for hybridization. Each stage has two biological repeats. 100-150 embryos were collected for each experiment. All embryos were collected at room temperature.
Project description:Investigation of whole genome gene expression level changes in mHypoA-2/12 cells transfected Pea3-pCDNA3, Erm-pCDNA3, and Er81-pCDNA3 cells compared to pCDNA3 transfected cells as a control.
Project description:Investigation of whole genome gene expression level changes in SH-SY5Y cells transfected pCDNA3-Pea3, pCDNA3-Erm, and pCDNA3-Er81 cells compared to pCDNA3 transfected cells as a control.
Project description:The early diagnosis of diabetic nephropathy (DN) is essential to improve the prognosis and manage patients affected by this disease. Standard biomarkers, including albuminuria and glomerular filtration rate, are limited to give a precise result. New molecular biomarkers are needed to identify better and predict DN disease evolution. Characteristic DN biomarkers can be identified using transcriptomic analysis. Blood samples were used to isolate RNA for microarray expression using Agilent SurePrint G3 Human Gene Expression 8x60K v2 Microarrays, we evaluated the transcriptomic profile of controls , prediabetes, type-2 diabetes mellitus, and DN.
Project description:X-ray CT was used to determine the growth velocity of individual tubers. RNA was extracted from tubers growing at different velocities and used for microarray hybridisation.
Project description:The experiment followed transcriptional changes during potato tuber induction from a stolon tip to a tuber. Samples were taken at stage 1, stage 3, stage 4 and stage 5 according to Kloosterman et al., 2005