東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Quantitative analysis of cellular ne...

Lee, Tae Jun.

Linked to FindBook

Google Book

Amazon

博客來

Quantitative analysis of cellular networks: Cell cycle entry.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Quantitative analysis of cellular networks: Cell cycle entry./
Author:	Lee, Tae Jun.
Description:	272 p.
Notes:	Source: Dissertation Abstracts International, Volume: 71-04, Section: B, page: 2534.
Contained By:	Dissertation Abstracts International71-04B.
Subject:	Biology, Cell. -
Online resource:	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.
LDR:02922nam 2200385 4500 001 1402144
005 20111028105735.5
008 130515s2010 ||||||||||||||||| ||eng d
020 $a 9781109716702
035 $a (UMI)AAI3398492
035 $a AAI3398492
040 $a UMI $c UMI
100 1 $a Lee, Tae Jun. $3 1681302
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
690 $a 0379
690 $a 0423
690 $a 0541
690 $a 0786
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