語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Non-genetic Factors Influencing Drug...
~
Morinishi, Leanna.
FindBook
Google Book
Amazon
博客來
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells./
作者:
Morinishi, Leanna.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
117 p.
附註:
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Contained By:
Dissertations Abstracts International82-01B.
標題:
Bioinformatics. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27996040
ISBN:
9781083579584
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells.
Morinishi, Leanna.
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 117 p.
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Thesis (Ph.D.)--University of California, San Francisco, 2020.
This item must not be sold to any third party vendors.
Despite the development of new, promising therapies for treating cancer, the emergence of cancer cells that do not respond to treatment remains a major barrier to cure. These emerging populations of cancer cells can result from secondary mutations that give rise to inherited drug tolerance or resistance, but in many cases there is no clear genetic basis for improved drug survival. In fact, prior work has shown that non-genetic mechanisms (e.g. chromatin remodeling) can enable longer-term persistence of cells in drug (Sharma et al., 2010, Hinohara et al., 2018), and we and others have demonstrated that these "persister" cells are an important reservoir for the emergence of drug-resistant mutants (Ramirez et al., 2016, Hata et al., 2016). Here through a combination of data analysis, mathematical modeling, and borrowed insight from microbiology, we further our understanding of non-genetic factors that alter cancer cell response to drug treatment.In the first chapter, I summarize literature describing the persister state in both antibiotic-treated bacteria and drug-treated cancer cells, and I highlight shared features of these persisters (such as slow growth and distinct metabolic activity). Of particular relevance to this dissertation, I discuss epigenetic and metabolic changes that influence cancer progression and drug survival. In the second chapter, I pair a close study of cancer cells differing only by expression of the epigenetic modifier TET2 with mathematical modeling to demonstrate how TET2 loss can confer a fitness advantage in drug by altering the dynamics of cell-state switching. Finally, in the third chapter, I present unpublished work focused on metabolic changes and vulnerabilities associated with TET2 loss. Through these studies, I describe several non-genetic mechanisms that affect persistence and tolerance of cancer cells in drug and highlight the challenges in pharmacologically targeting these complex and ill-defined modes of drug survival.
ISBN: 9781083579584Subjects--Topical Terms:
553671
Bioinformatics.
Subjects--Index Terms:
Cancer
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells.
LDR
:03119nmm a2200349 4500
001
2269448
005
20200908090515.5
008
220629s2020 ||||||||||||||||| ||eng d
020
$a
9781083579584
035
$a
(MiAaPQ)AAI27996040
035
$a
AAI27996040
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Morinishi, Leanna.
$3
3546785
245
1 0
$a
Non-genetic Factors Influencing Drug Persistence and Survival in Cancer Cells.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2020
300
$a
117 p.
500
$a
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
500
$a
Advisor: Altschuler, Steven J.
502
$a
Thesis (Ph.D.)--University of California, San Francisco, 2020.
506
$a
This item must not be sold to any third party vendors.
520
$a
Despite the development of new, promising therapies for treating cancer, the emergence of cancer cells that do not respond to treatment remains a major barrier to cure. These emerging populations of cancer cells can result from secondary mutations that give rise to inherited drug tolerance or resistance, but in many cases there is no clear genetic basis for improved drug survival. In fact, prior work has shown that non-genetic mechanisms (e.g. chromatin remodeling) can enable longer-term persistence of cells in drug (Sharma et al., 2010, Hinohara et al., 2018), and we and others have demonstrated that these "persister" cells are an important reservoir for the emergence of drug-resistant mutants (Ramirez et al., 2016, Hata et al., 2016). Here through a combination of data analysis, mathematical modeling, and borrowed insight from microbiology, we further our understanding of non-genetic factors that alter cancer cell response to drug treatment.In the first chapter, I summarize literature describing the persister state in both antibiotic-treated bacteria and drug-treated cancer cells, and I highlight shared features of these persisters (such as slow growth and distinct metabolic activity). Of particular relevance to this dissertation, I discuss epigenetic and metabolic changes that influence cancer progression and drug survival. In the second chapter, I pair a close study of cancer cells differing only by expression of the epigenetic modifier TET2 with mathematical modeling to demonstrate how TET2 loss can confer a fitness advantage in drug by altering the dynamics of cell-state switching. Finally, in the third chapter, I present unpublished work focused on metabolic changes and vulnerabilities associated with TET2 loss. Through these studies, I describe several non-genetic mechanisms that affect persistence and tolerance of cancer cells in drug and highlight the challenges in pharmacologically targeting these complex and ill-defined modes of drug survival.
590
$a
School code: 0034.
650
4
$a
Bioinformatics.
$3
553671
650
4
$a
Systematic biology.
$3
3173492
653
$a
Cancer
653
$a
Cell-state dynamics
653
$a
Mathematical modeling
653
$a
Systems biology
690
$a
0715
690
$a
0423
710
2
$a
University of California, San Francisco.
$b
Biological and Medical Informatics.
$3
1018680
773
0
$t
Dissertations Abstracts International
$g
82-01B.
790
$a
0034
791
$a
Ph.D.
792
$a
2020
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27996040
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9421682
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入