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Quantitative analysis of cellular ne...

Lee, Tae Jun.

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Quantitative analysis of cellular networks: Cell cycle entry.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Quantitative analysis of cellular networks: Cell cycle entry./
作者:	Lee, Tae Jun.
面頁冊數:	272 p.
附註:	Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2534.
Contained By:	Dissertation Abstracts International71-04B.
標題:	Biology, Cell. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3398492
ISBN:	9781109716702

Quantitative analysis of cellular networks: Cell cycle entry.
Lee, Tae Jun.

Quantitative analysis of cellular networks: Cell cycle entry. - 272 p.

Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2534.

Thesis (Ph.D.)--Duke University, 2010.

Cellular dynamics arise from intricate interactions among diverse components, such as metabolites, RNAs, and proteins. An in-depth understanding of these interactions requires an integrated approach to the investigation of biological systems. This task can benefit from a combination of mathematical modeling and experimental validations, which is becoming increasingly indispensable for basic and applied biological research.

ISBN: 9781109716702Subjects--Topical Terms:

1017686
Biology, Cell.

Quantitative analysis of cellular networks: Cell cycle entry.
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245 1 0 $a Quantitative analysis of cellular networks: Cell cycle entry.
300 $a 272 p.
500 $a Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2534.
500 $a Adviser: Lingchong You.
502 $a Thesis (Ph.D.)--Duke University, 2010.
520 $a Cellular dynamics arise from intricate interactions among diverse components, such as metabolites, RNAs, and proteins. An in-depth understanding of these interactions requires an integrated approach to the investigation of biological systems. This task can benefit from a combination of mathematical modeling and experimental validations, which is becoming increasingly indispensable for basic and applied biological research.
520 $a Utilizing a combination of modeling and experimentation, we investigate mammalian cell cycle entry. We begin our investigation by making predictions with a mathematical model, which is constructed based on the current knowledge of biology. To test these predictions, we develop experimental platforms for validations, which in turn can be used to further refine the model. Such iteration of model predictions and experimental validations has allowed us to gain an in-depth understanding of the cell cycle entry dynamics.
520 $a In this dissertation, we have focused on the Myc-Rb-E2F signaling pathway and its associated pathways, dysregulation of which is associated with virtually all cancers. Our analyses of these signaling pathways provide insights into three questions in biology: (1) regulation of the restriction point (R-point) in cell cycle entry, (2) regulation of the temporal dynamics in cell cycle entry, and (3) post-translational regulation of Myc by its upstream signaling pathways. The well-studied pathways can serve as a foundation for perturbations and tight control of cell cycle entry dynamics, which may be useful in developing cancer therapeutics.
520 $a We conclude by demonstrating how a combination of mathematical modeling and experimental validations provide mechanistic insights into the regulatory networks in cell cycle entry.
590 $a School code: 0066.
650 4 $a Biology, Cell. $3 1017686
650 4 $a Biology, Systematic. $3 1676856
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Biophysics, General. $3 1019105
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710 2 $a Duke University. $b Biomedical Engineering. $3 1036229
773 0 $t Dissertation Abstracts International $g 71-04B.
790 1 0 $a You, Lingchong, $e advisor
790 1 0 $a Henriquez, Craig S. $e committee member
790 1 0 $a Yuan, Fan $e committee member
790 1 0 $a Chi, Jen-Tsan $e committee member
790 1 0 $a Nevins, Joseph R. $e committee member
790 $a 0066
791 $a Ph.D.
792 $a 2010
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3398492