東華大學圖書館 |

語系: 繁體中文

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

Quantifying Spatiotemporal Dynamics ...

Ji, Brian.

FindBook

Google Book

Amazon

博客來

Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth./
作者:	Ji, Brian.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	189 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
Contained By:	Dissertations Abstracts International80-08B.
標題:	Biology. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13425049
ISBN:	9780438804333

Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth.
Ji, Brian.

Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 189 p.

Source: Dissertations Abstracts International, Volume: 80-08, Section: B.

Thesis (Ph.D.)--Columbia University, 2019.

This item must not be added to any third party search indexes.

In this thesis, we develop and apply top-down, quantitative approaches to gain novel insights into various complex biological systems. Beginning at the multicellular level, we study human gut microbiome dynamics from an ecological perspective. We develop computational frameworks to enable a global understanding of the spatiotemporal variability of gut bacterial abundances. We demonstrate the utility of our frameworks to elucidate the ecological processes governing abundance changes of gut microbiota. We then shift our focus to the intracellular level by investigating the metabolic limitations of cancer cell growth. We use coarse-grained mathematical modeling to identify a major growth limitation of cancer cells associated with electron acceptor deficiency, which we then experimentally validate. Collectively, these set of approaches help to decipher the organizing principles of complex biological systems at both the individual and multicellular levels.

ISBN: 9780438804333Subjects--Topical Terms:

522710
Biology.

Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth.
LDR:02179nmm a2200361 4500 001 2208790
005 20191025102414.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9780438804333
035 $a (MiAaPQ)AAI13425049
035 $a (MiAaPQ)columbia:15030
035 $a AAI13425049
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ji, Brian. $3 3435841
245 1 0 $a Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 189 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Vitkup, Dennis.
502 $a Thesis (Ph.D.)--Columbia University, 2019.
506 $a This item must not be added to any third party search indexes.
506 $a This item must not be sold to any third party vendors.
520 $a In this thesis, we develop and apply top-down, quantitative approaches to gain novel insights into various complex biological systems. Beginning at the multicellular level, we study human gut microbiome dynamics from an ecological perspective. We develop computational frameworks to enable a global understanding of the spatiotemporal variability of gut bacterial abundances. We demonstrate the utility of our frameworks to elucidate the ecological processes governing abundance changes of gut microbiota. We then shift our focus to the intracellular level by investigating the metabolic limitations of cancer cell growth. We use coarse-grained mathematical modeling to identify a major growth limitation of cancer cells associated with electron acceptor deficiency, which we then experimentally validate. Collectively, these set of approaches help to decipher the organizing principles of complex biological systems at both the individual and multicellular levels.
590 $a School code: 0054.
650 4 $a Biology. $3 522710
650 4 $a Public health. $3 534748
650 4 $a Physiology. $3 518431
650 4 $a Oncology. $3 751006
690 $a 0306
690 $a 0573
690 $a 0719
690 $a 0992
710 2 $a Columbia University. $b Biological Sciences. $3 3191709
773 0 $t Dissertations Abstracts International $g 80-08B.
790 $a 0054
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13425049