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

Statistical mechanics of cell-cell r...

Hori, Yuko.

Linked to FindBook

Google Book

Amazon

博客來

Statistical mechanics of cell-cell recognition in the immune system.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical mechanics of cell-cell recognition in the immune system./
Author:	Hori, Yuko.
Description:	127 p.
Notes:	Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0758.
Contained By:	Dissertation Abstracts International65-02B.
Subject:	Chemistry, Physical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121522
ISBN:	0496688731

Statistical mechanics of cell-cell recognition in the immune system.
Hori, Yuko.

Statistical mechanics of cell-cell recognition in the immune system. - 127 p.

Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0758.

Thesis (Ph.D.)--University of California, Berkeley, 2003.

Cell-cell recognition is a key event that determines the activation of T lymphocytes, which are the orchestrator of the adaptive immune system. The immunological synapse, a macroscopic spatial pattern of receptors and ligands which forms in the intercellular junction between T lymphocytes and antigen presenting cells (APCs), is implicated in information transfer between these immune cells. Based on a statistical mechanical model developed by Qi et al. (Qi, Groves et al. 2001), we will discuss the mechanisms that underlie the formation of different synapse patterns at different stages of the life cycle of T cells. The functional consequences of synapse formation to T cell activation are explored. We also develop a numerical simulation method to study intracellular signaling cascades which is coupled to synapse formation. Appling this algorithm, we seek possible explanations for some controversies regarding T cell signaling and activation.

ISBN: 0496688731Subjects--Topical Terms:

560527
Chemistry, Physical.

Statistical mechanics of cell-cell recognition in the immune system.
LDR:01869nmm 2200289 4500 001 1847701
005 20051108095747.5
008 130614s2003 eng d
020 $a 0496688731
035 $a (UnM)AAI3121522
035 $a AAI3121522
040 $a UnM $c UnM
100 1 $a Hori, Yuko. $3 1935735
245 1 0 $a Statistical mechanics of cell-cell recognition in the immune system.
300 $a 127 p.
500 $a Source: Dissertation Abstracts International, Volume: 65-02, Section: B, page: 0758.
500 $a Chair: Arup K. Chakraborty.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 2003.
520 $a Cell-cell recognition is a key event that determines the activation of T lymphocytes, which are the orchestrator of the adaptive immune system. The immunological synapse, a macroscopic spatial pattern of receptors and ligands which forms in the intercellular junction between T lymphocytes and antigen presenting cells (APCs), is implicated in information transfer between these immune cells. Based on a statistical mechanical model developed by Qi et al. (Qi, Groves et al. 2001), we will discuss the mechanisms that underlie the formation of different synapse patterns at different stages of the life cycle of T cells. The functional consequences of synapse formation to T cell activation are explored. We also develop a numerical simulation method to study intracellular signaling cascades which is coupled to synapse formation. Appling this algorithm, we seek possible explanations for some controversies regarding T cell signaling and activation.
590 $a School code: 0028.
650 4 $a Chemistry, Physical. $3 560527
650 4 $a Biophysics, General. $3 1019105
650 4 $a Health Sciences, Immunology. $3 1017716
690 $a 0494
690 $a 0786
690 $a 0982
710 2 0 $a University of California, Berkeley. $3 687832
773 0 $t Dissertation Abstracts International $g 65-02B.
790 1 0 $a Chakraborty, Arup K., $e advisor
790 $a 0028
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3121522