Core--Microarray analysis

  • Brooks, Andrew (PI)
  • Richfield, Eric (PI)
  • Coleman, Paul (PI)
  • Bowers, William (PI)
  • Christopher, Cox (PI)
  • Federoff, Howard J. (PI)
  • FEDEROFF, HOWARD (PI)
  • BROOKS, ANDREW (PI)
  • Cox, Christopher (PI)
  • Richfield, Eric (PI)
  • Bowers, William (PI)
  • Coleman, Paul (PI)

Project Details

Description

The microarray analysis core (MAC) is designed to advance aging-related
research by providing state-of-the-art gene profiling from multiple tissue
or cell types by DNA microarrays. The MAC will also provide data
analyses for all array experiments. More detailed and custom analyses
will be performed in a collaborative effort with another Nathan Shock
Center Core. In addition to providing the Affymetrix commercial arrays
the MAC will generate commercial arrays the MAC will generate custom
cDNA and oligonucleotide arrays for investigators interested in probing
gene arrays specific to selected biological systems of aging. These arrays
will be compiled and made available to Nathan Shock investigators
locally and regionally. The MAC will offer a full menu of services
including tissue and/or cellular RNA extraction, cDNA synthesis, cRNA
labeling, target hybridization, probe array washing and staining, probe
array scanning, array design and manufacturing, and data analysis. In
addition to data generation, the MAC will work in conjunction with the
Bioinformatics and Biostatistics Core to develop a database containing
experimental data generated by the MAC which will be made available
for relational comparisons between studies conducted. The relational
database will contain human and murine arrays and over the granting
period should become extensive. Finally, the MAC will offer an array
data validation function through a collaborative effort with the following
Shock cores: Gene Expression Vector Core and the Molecular and
Cellular Imaging Core. This linkage will provide real-time quantitative
RT-PCR and in situ hybridization technologies to validate microarray
data. The MAC will become an important component serving the aging
research community at the University of Rochester and in Western New
York.
StatusFinished
Effective start/end date1/1/016/30/06

ASJC

  • Medicine(all)
  • Genetics
  • Biochemistry, Genetics and Molecular Biology(all)
  • Aging
  • Molecular Biology
  • Biochemistry
  • Radiology Nuclear Medicine and imaging
  • Cell Biology
  • Computer Science Applications
  • Statistics and Probability