Expression profiling using cDNA arrays is becoming a powerful tool for the analysis of gene expression and regulation. Such methodology allows the abundances of thousands of transcripts to be followed simultaneously. This allows the discovery of patterns in gene expression and the association of genes with phenomena and formulation of new regulatory hypotheses on a grand scale. However, a number of important gene transcription variables are not captured in the measurement of steady state mRNA abundance, such as transcriptional vs. post-transcriptional control and immediate-early vs. delayed control. The author states that these types of control mechanisms can be investigated by adapting nuclear run-off assays to the array format. The author predicts that this general approach could significantly enhance the ability to interpret transcript abundance data in existing and future expression profiling databases.

Agency
National Institute of Health (NIH)
Institute
National Human Genome Research Institute (NHGRI)
Type
Exploratory/Developmental Grants (R21)
Project #
5R21HG002095-02
Application #
6343272
Study Section
Special Emphasis Panel (ZRG1-SSS-Y (01))
Program Officer
Marks, Cheryl L
Project Start
2000-01-01
Project End
2002-12-31
Budget Start
2001-01-01
Budget End
2002-12-31
Support Year
2
Fiscal Year
2001
Total Cost
$190,605
Indirect Cost
Name
Sidney Kimmel Cancer Center
Department
Type
DUNS #
789644697
City
San Diego
State
CA
Country
United States
Zip Code
92121