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Visualizing patterns of gene express...

Sinha, Naveen Neil.

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Visualizing patterns of gene expression in growing Bacillus subtilis biofilms.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Visualizing patterns of gene expression in growing Bacillus subtilis biofilms./
作者:	Sinha, Naveen Neil.
面頁冊數:	108 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
Contained By:	Dissertation Abstracts International75-02B(E).
標題:	Biophysics, General. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3600249
ISBN:	9781303503146

Visualizing patterns of gene expression in growing Bacillus subtilis biofilms.
Sinha, Naveen Neil.

Visualizing patterns of gene expression in growing Bacillus subtilis biofilms. - 108 p.

Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.

Thesis (Ph.D.)--Harvard University, 2013.

Most bacteria live in surface-attached colonies known as biofilms, which contain distinct cell types embedded in a self-produced extracellular network of polymers. Differentiation into functionally-distinct sub-populations of cells, or phenotypes, is primarily a result of nutrient availability and extracellular signals. These inputs change over time, leading to spatial and temporal patterns in the relative populations of phenotypes. Although transitions between phenotypes have been investigated in single cells, the triggers for this process within an intact biofilm are not well understood.

ISBN: 9781303503146Subjects--Topical Terms:

1019105
Biophysics, General.

Visualizing patterns of gene expression in growing Bacillus subtilis biofilms.
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245 1 0 $a Visualizing patterns of gene expression in growing Bacillus subtilis biofilms.
300 $a 108 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-02(E), Section: B.
500 $a Advisers: Michael P. Brenner; David A. Weitz.
502 $a Thesis (Ph.D.)--Harvard University, 2013.
520 $a Most bacteria live in surface-attached colonies known as biofilms, which contain distinct cell types embedded in a self-produced extracellular network of polymers. Differentiation into functionally-distinct sub-populations of cells, or phenotypes, is primarily a result of nutrient availability and extracellular signals. These inputs change over time, leading to spatial and temporal patterns in the relative populations of phenotypes. Although transitions between phenotypes have been investigated in single cells, the triggers for this process within an intact biofilm are not well understood.
520 $a Here we demonstrate a method for measuring spatiotemporal patterns of gene expression in growing bacterial biofilms and quantitatively linking these patterns to external cues. Bacillus subtilis is our model system, since the pathway to sporulation includes just three phenotypes. We use a triple-labeled strain of bacteria, so that the gene expression for each phenotype is linked to a different fluorescent protein. We are able to quantify the sub-populations for each phenotype from fluorescence microscope images, once we correct for the optical properties of the biofilm. By taking into account the local growth rate throughout the colony, we are able to calculate the transition rates between different phenotypes. This technique opens up new possibilities for studying how nutrient levels and other growth conditions affect the development of bacterial biofilms.
590 $a School code: 0084.
650 4 $a Biophysics, General. $3 1019105
650 4 $a Biology, Microbiology. $3 1017734
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710 2 $a Harvard University. $b Engineering and Applied Sciences. $3 2093136
773 0 $t Dissertation Abstracts International $g 75-02B(E).
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793 $a English
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