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Genomic and computational analyses o...

University of Southern California., Molecular Biology.

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Genomic and computational analyses of the Drosophila sex determination regulatory network.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Genomic and computational analyses of the Drosophila sex determination regulatory network./
作者:	Goldman, Thomas Daniel.
面頁冊數:	323 p.
附註:	Adviser: Michelle N. Arbeitman.
Contained By:	Dissertation Abstracts International70-04B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3355258
ISBN:	9781109136197

Genomic and computational analyses of the Drosophila sex determination regulatory network.
Goldman, Thomas Daniel.

Genomic and computational analyses of the Drosophila sex determination regulatory network. - 323 p.

Adviser: Michelle N. Arbeitman.

Thesis (Ph.D.)--University of Southern California, 2009.

The fruit fly Drosophila is a genetically tractable model system that can be used to understand sex-specific differentiation. Sex-specific somatic tissue differentiation and the potential for male courtship behaviors are specified by a genetic regulatory hierarchy, called the sex determination hierarchy. These sex-specific differences are genetically specified, and so can be examined using the myriad of powerful tools developed to study Drosophila.

ISBN: 9781109136197Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Genomic and computational analyses of the Drosophila sex determination regulatory network.
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245 1 0 $a Genomic and computational analyses of the Drosophila sex determination regulatory network.
300 $a 323 p.
500 $a Adviser: Michelle N. Arbeitman.
500 $a Source: Dissertation Abstracts International, Volume: 70-04, Section: B, page: 2069.
502 $a Thesis (Ph.D.)--University of Southern California, 2009.
520 $a The fruit fly Drosophila is a genetically tractable model system that can be used to understand sex-specific differentiation. Sex-specific somatic tissue differentiation and the potential for male courtship behaviors are specified by a genetic regulatory hierarchy, called the sex determination hierarchy. These sex-specific differences are genetically specified, and so can be examined using the myriad of powerful tools developed to study Drosophila.
520 $a The sex determination hierarchy consists of an alternative pre-mRNA splicing cascade culminating in the production of sex-specific transcription factors encoded by fruitless (fru) and doublesex (dsx). Male-specific splicing of on transcript class, fru P1 (producing FRUM), is necessary for all aspects of male courtship behavior. dsx is required for sex-specific development of nearly all somatic tissues outside of the central nervous system and aspects of nervous system development. Despite our detailed knowledge of the hierarchy, little is known regarding the targets of these transcription factors which ultimately specify sex-specific somatic tissue development and pattern the neural circuitry underlying sex-specific behavior.
520 $a Identifying genes regulated downstream of FRUM and DSX in the adult head and nervous system tissues is important for the understanding of how the potential for behaviors are established and maintained. Using a microarray-based approach, we have identified many genes regulated downstream of DSX and FRUM activity in these tissues. Functional analyses and understanding how these genes are deployed by the sex determination hierarchy provides insight into how a regulatory network functions on a genome-wide scale.
520 $a We characterized several genes, including a DSX-regulated gene known to play a role in visual transduction, and a FRUM-regulated gene which functions in the timing of male courtship behavior. We present extensive analyses of neurons which express a gene regulated downstream of FRUM. These neurons appear to function in both the FRU M and the circadian pacemaker circuits. We show that ablating, or electrically silencing these neurons results in defects in male courtship behavior and circadian periodicity.
520 $a We developed a web-based transcription factor binding site search program which predicts regulatory regions known as cis-regulatory modules based on significance of transcription factor binding site clustering. We used this in silico method in conjunction with expression data to identify potential DSX and FRUM direct targets.
590 $a School code: 0208.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Molecular. $3 1017719
650 4 $a Biology, Neuroscience. $3 1017680
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690 $a 0317
690 $a 0715
710 2 $a University of Southern California. $b Molecular Biology. $3 1058714
773 0 $t Dissertation Abstracts International $g 70-04B.
790 $a 0208
790 1 0 $a Arbeitman, Michelle N., $e advisor
790 1 0 $a Finch, Caleb E. $e committee member
790 1 0 $a Sun, Fengzhu Z. $e committee member
790 1 0 $a Tower, John G. $e committee member
791 $a Ph.D.
792 $a 2009
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3355258