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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.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Stochastic variation in single cells: From genes to inheritance./
Author:	Kaufmann, Benjamin Bailey.
Description:	106 p.
Notes:	Adviser: Alexander van Oudenaarden.
Contained By:	Dissertation Abstracts International68-02B.
Subject:	Biology, Cell. -
Online resource:	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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035 $a (UMI)AAI3251285
035 $a AAI3251285
040 $a UMI $c UMI
100 1 $a Kaufmann, Benjamin Bailey. $3 1291918
245 1 0 $a Stochastic variation in single cells: From genes to inheritance.
300 $a 106 p.
500 $a Adviser: Alexander van Oudenaarden.
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.
590 $a School code: 0084.
650 4 $a Biology, Cell. $3 1017686
650 4 $a Biophysics, General. $3 1019105
690 $a 0379
690 $a 0786
710 2 0 $a Harvard University. $3 528741
773 0 $t Dissertation Abstracts International $g 68-02B.
790 $a 0084
790 1 0 $a van Oudenaarden, Alexander, $e advisor
791 $a Ph.D.
792 $a 2007
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3251285