RIC: Research Interest Comparator

Keith Baker, Ph.D.
Postdoc
Affiliation: HHMI
Office: not provided
Phone #: not provided
Fax: not provided
Email: keith.baker@genetics.utah.edu
Home Page: not provided
Lab: not provided
All Results | New This Year | Abstract | Selected Publications | RIC Statistics Results - NEW THIS MONTH:

No matching results
Abstract:
Extensive studies of nuclear hormone receptors have transformed the field of molecular endocrinology, leading to new insights into how these ligand-regulated transcription factors control a broad range of biological programs. In spite of these significant advances, however, a number of important questions remain. Central among these is how temporal specificity is achieved in hormone signaling. How do repeated pulses of the same hormone direct different genetic and biological responses at different times? I propose to address this question by using Drosophila as a model system, focusing on the role of the prepupal competence factor and orphan nuclear receptor _FTZ-F1 in providing temporal specificity to pulses of the steroid hormone ecdysone during metamorphosis. I will use microarrays to obtain genome-wide expression profiles from ecdysone-treated organ cultures of wild-type animals and from both gain-of-function and loss-of-function _FTZ-F1 mutants. These studies will lead to the identification of genes that are regulated by ecdysone in a stage-specific manner, responding to only the prepupal ecdysone pulse and dependent on the _FTZ-F1 competence factor. Several of these genes will be selected for detailed functional analysis to determine their biological roles at this stage in development. The studies proposed here will provide new insights into the molecular mechanisms of competence for steroid responses as well as a basis for understanding how temporal specificity is achieved in hormone signaling pathways.
RIC Statistics:
Extraction Method: Keyword Count with Lexical Variants Added
Eliminated words list: MedlinePlus List
Similarity Method: Weighted Keyword Count
Weighting Method: Term Frequency * Inverse Document Frequency
Database: Medline Updates from current month
Publication Type: All
Score Calculation Method: Cosine Similarity Method
Sort by: Score
Results computed on: 6/9/2006