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Stochastic variation in single cells...

Kaufmann, Benjamin Bailey.

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Stochastic variation in single cells: From genes to inheritance.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Stochastic variation in single cells: From genes to inheritance./
作者:	Kaufmann, Benjamin Bailey.
面頁冊數:	106 p.
附註:	Adviser: Alexander van Oudenaarden.
Contained By:	Dissertation Abstracts International68-02B.
標題:	Biology, Cell. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3251285

Stochastic variation in single cells: From genes to inheritance.
Kaufmann, Benjamin Bailey.

Stochastic variation in single cells: From genes to inheritance. - 106 p.

Adviser: Alexander van Oudenaarden.

Thesis (Ph.D.)--Harvard University, 2007.

Protein production involves a series of stochastic chemical steps. A consequence of this is that the copy number of any given protein varies substantially from cell-to-cell even within isogenic populations [1-13]. In this work, we investigate several possible contributing sources to this cellular individuality, including the roles that chromosomal position, gene copy-number, noisy upstream regulators, and weak expression levels all play. We discovered that the fluctuations we observed were not due to the low number of the molecules expressed from a gene per se, but instead originated in the random, rare events of gene activation. The frequency of these events and the correlation between stochastic expressions of genes within a single cell depend on the positioning of the genes along the chromosomes. Finally, we showed that natural transcriptional regulators subject to such random expression can propagate their noise to their target genes.Subjects--Topical Terms:

1017686
Biology, Cell.

Stochastic variation in single cells: From genes to inheritance.
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245 1 0 $a Stochastic variation in single cells: From genes to inheritance.
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500 $a Source: Dissertation Abstracts International, Volume: 68-02, Section: B, page: 0830.
502 $a Thesis (Ph.D.)--Harvard University, 2007.
520 $a Protein production involves a series of stochastic chemical steps. A consequence of this is that the copy number of any given protein varies substantially from cell-to-cell even within isogenic populations [1-13]. In this work, we investigate several possible contributing sources to this cellular individuality, including the roles that chromosomal position, gene copy-number, noisy upstream regulators, and weak expression levels all play. We discovered that the fluctuations we observed were not due to the low number of the molecules expressed from a gene per se, but instead originated in the random, rare events of gene activation. The frequency of these events and the correlation between stochastic expressions of genes within a single cell depend on the positioning of the genes along the chromosomes. Finally, we showed that natural transcriptional regulators subject to such random expression can propagate their noise to their target genes.
520 $a Next we investigated the role stochasticity plays in epigenetic or non-Mendelian inheritance. To accomplish this, we tracked families of the yeast Saccharomyces cerevisiae as they switched between two semi-stable epigenetic states. We found that long after two cells divided they continued to switch in a synchronized manner, despite our observation that individual cells switch in an exponentially distributed manner. By comparing these results to a model Poisson process, we show that the time-evolution of an epigenetic state depends initially on inherited factors, with stochastic processes requiring several generations to decorrelate closely related cells.
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