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Experimental and computational studi...
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Vora, Tiffany Jayshree.
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Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Experimental and computational studies of the in vivo genomic repertoire of DNA-protein interactions in Escherichia coli./
作者:
Vora, Tiffany Jayshree.
面頁冊數:
187 p.
附註:
Adviser: Saeed Tavazoie.
Contained By:
Dissertation Abstracts International68-07B.
標題:
Biology, Bioinformatics. -
電子資源:
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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Source: Dissertation Abstracts International, Volume: 68-07, Section: B, page: 4286.
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Thesis (Ph.D.)--Princeton University, 2007.
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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.
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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.
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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.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3273535
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