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Experimental and computational studi...

Vora, Tiffany Jayshree.

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Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli./
Author:	Vora, Tiffany Jayshree.
Description:	187 p.
Notes:	Adviser: Saeed Tavazoie.
Contained By:	Dissertation Abstracts International68-07B.
Subject:	Biology, Bioinformatics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273535
ISBN:	9780549136545

Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli.
Vora, Tiffany Jayshree.

Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli. - 187 p.

Adviser: Saeed Tavazoie.

Thesis (Ph.D.)--Princeton University, 2007.

The ability to monitor the occupancy of transcription-factor binding sites in vivo is an important pre-requisite to modeling and understanding regulatory network dynamics. To this end, we have developed a technology for whole genome identification and monitoring of protein-DNA "footprints" in bacterial genomes. Unlike chromatin immunoprecipitation, which allows genome-wide mapping of a single transcription factor's binding sites, our approach aims to identify all protein occupancies without a priori knowledge of the factors involved. The details of this new methodology are presented in Chapter 2.

ISBN: 9780549136545Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli.
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020 $a 9780549136545
035 $a (UMI)AAI3273535
035 $a AAI3273535
040 $a UMI $c UMI
100 1 $a Vora, Tiffany Jayshree. $3 1271127
245 1 0 $a Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli.
300 $a 187 p.
500 $a Adviser: Saeed Tavazoie.
500 $a Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4286.
502 $a Thesis (Ph.D.)--Princeton University, 2007.
520 $a The ability to monitor the occupancy of transcription-factor binding sites in vivo is an important pre-requisite to modeling and understanding regulatory network dynamics. To this end, we have developed a technology for whole genome identification and monitoring of protein-DNA "footprints" in bacterial genomes. Unlike chromatin immunoprecipitation, which allows genome-wide mapping of a single transcription factor's binding sites, our approach aims to identify all protein occupancies without a priori knowledge of the factors involved. The details of this new methodology are presented in Chapter 2.
520 $a We employed the power of genome-wide analyses to detect underlying complex patterns connecting the set of DNA-protein interactions and the transcription regulatory network. In Chapter 3, genome-level views of these connections are presented. We examined local protein occupancy under changing genotypic and environmental conditions in Chapter 4. As a proof-of-principle, we considered the cellular responses mediated by the carbon catabolite repression regulon and by the entry into stationary phase of growth.
520 $a In addition to monitoring the occupancy dynamics of sequence-specific transcription factors, we are using this technology to gain a better understanding of the structural organization of the bacterial genome in terms of nucleoid proteins and the domains they help to organize. Chapter 5 contains detailed analyses of many computational and experimental data sets to explore the contribution of "bacterial heterochromatin" to overall genomic architecture.
590 $a School code: 0181.
650 4 $a Biology, Bioinformatics. $3 1018415
650 4 $a Biology, Molecular. $3 1017719
690 $a 0307
690 $a 0715
710 2 $a Princeton University. $3 645579
773 0 $t Dissertation Abstracts International $g 68-07B.
790 $a 0181
790 1 0 $a Tavazoie, Saeed, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273535