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Quantitative studies of the Sonic hedgehog system in adult neural stem cells
Record Type:
Electronic resources : Monograph/item
Title/Author:
Quantitative studies of the Sonic hedgehog system in adult neural stem cells
Author:
Lai, Karen Wei-Sing.
Description:
120 p.
Notes:
Chair: David V. Schaffer.
Notes:
Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0885.
Contained By:
Dissertation Abstracts International65-02B.
Subject:
Engineering, Chemical.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121564
ISBN:
0496689150
Quantitative studies of the Sonic hedgehog system in adult neural stem cells
Lai, Karen Wei-Sing.
Quantitative studies of the Sonic hedgehog system in adult neural stem cells
[electronic resource] - 120 p.
Chair: David V. Schaffer.
Thesis (Ph.D.)--University of California, Berkeley, 2003.
Neural stem cells provide immense opportunities for the development of new therapies in treating neurodegenerative illnesses. However, the understanding of how stem cells develop and mature into functional neurons and glial cells that ultimately become incorporated into the complex network of the nervous system is a vast undertaking. In this research, we focus upon the identification and investigation of an important signal, Sonic hedgehog (Shh). We demonstrate that Shh, a crucial factor that controls a wide range of activities during the development of the nervous system, regulates proliferation of adult neural stem cells. In addition, using a "systems biology" approach, we describe a theoretical model to illustrate how the genetic regulatory properties of this signaling system contribute to the all-or-none proliferative response made by these cells. These properties include hysteresis and negative feedback to counteract noise produced by fluctuations in the amount of signaling factors that participate in the system. Finally, we report the results of several experiments that were performed in order to provide physical meaning to the predictions of the model. Our results collectively reveal that Shh plays an important role in the responses of adult neural stem cells. By understanding the mechanism of response imposed by the Shh network structure, we can begin to comprehend how to manipulate stem cell behavior.
ISBN: 0496689150Subjects--Topical Terms:
226989
Engineering, Chemical.
Quantitative studies of the Sonic hedgehog system in adult neural stem cells
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120 p.
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Chair: David V. Schaffer.
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Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0885.
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Thesis (Ph.D.)--University of California, Berkeley, 2003.
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Neural stem cells provide immense opportunities for the development of new therapies in treating neurodegenerative illnesses. However, the understanding of how stem cells develop and mature into functional neurons and glial cells that ultimately become incorporated into the complex network of the nervous system is a vast undertaking. In this research, we focus upon the identification and investigation of an important signal, Sonic hedgehog (Shh). We demonstrate that Shh, a crucial factor that controls a wide range of activities during the development of the nervous system, regulates proliferation of adult neural stem cells. In addition, using a "systems biology" approach, we describe a theoretical model to illustrate how the genetic regulatory properties of this signaling system contribute to the all-or-none proliferative response made by these cells. These properties include hysteresis and negative feedback to counteract noise produced by fluctuations in the amount of signaling factors that participate in the system. Finally, we report the results of several experiments that were performed in order to provide physical meaning to the predictions of the model. Our results collectively reveal that Shh plays an important role in the responses of adult neural stem cells. By understanding the mechanism of response imposed by the Shh network structure, we can begin to comprehend how to manipulate stem cell behavior.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121564
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