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Title: The Immunobiology of Aging [II]      
dateReleased:
11-07-2015
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.
privacy:
not applicable
aggregation:
instance of dataset
ID:
E-GEOD-74752
refinement:
raw
alternateIdentifiers:
74752
keywords:
functional genomics
dateModified:
12-01-2015
availability:
available
types:
gene expression
name:
Homo sapiens
ID:
A-AGIL-28
name:
Agilent Whole Human Genome Microarray 4x44K 014850 G4112F (85 cols x 532 rows)
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-74752/E-GEOD-74752.raw.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ebi.ac.uk/arrayexpress/files/E-GEOD-74752/E-GEOD-74752.processed.1.zip
storedIn:
ArrayExpress
qualifier:
gzip compressed
format:
TXT
accessType:
download
authentication:
none
authorization:
none
accessURL: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE74752
storedIn:
Gene Expression Omnibus
qualifier:
not compressed
format:
HTML
accessType:
landing page
primary:
true
authentication:
none
authorization:
none
abbreviation:
EBI
homePage: http://www.ebi.ac.uk/
ID:
SCR:004727
name:
European Bioinformatics Institute
homePage: https://www.ebi.ac.uk/arrayexpress/
ID:
SCR:002964
name:
ArrayExpress

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