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Quantifying Spatiotemporal Dynamics ...
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Ji, Brian.
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Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Quantifying Spatiotemporal Dynamics of Gut Microbiota and Metabolic Limitations of Cancer Cell Growth./
Author:
Ji, Brian.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:
189 p.
Notes:
Source: Dissertations Abstracts International, Volume: 80-08, Section: B.
Contained By:
Dissertations Abstracts International80-08B.
Subject:
Biology. -
Online resource:
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.
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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.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13425049
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