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Finding Organization in Randomness: ...

University of California, San Francisco., Biophysics.

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Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry./
作者:	Apte, Zachary Schulz.
面頁冊數:	59 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-12(E), Section: B.
Contained By:	Dissertation Abstracts International73-12B(E).
標題:	Biophysics, General. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3518024
ISBN:	9781267487773

Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry.
Apte, Zachary Schulz.

Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry. - 59 p.

Source: Dissertation Abstracts International, Volume: 73-12(E), Section: B.

Thesis (Ph.D.)--University of California, San Francisco, 2012.

Intracellular organization -- organization of organelles and other compartments inside cell-organization is a complex -- and the processes that control it are poorly understood. The research contained within this document is an approach to making this problem more tractable -- development of statistical methods to compare changes in intracellular organization between populations of cells.

ISBN: 9781267487773Subjects--Topical Terms:

1019105
Biophysics, General.

Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry.
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245 1 0 $a Finding Organization in Randomness: Using Statistics to Explore the Underlying Organizational Character of Intracellular Geometry.
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500 $a Source: Dissertation Abstracts International, Volume: 73-12(E), Section: B.
500 $a Adviser: Wallace F. Marshall.
502 $a Thesis (Ph.D.)--University of California, San Francisco, 2012.
520 $a Intracellular organization -- organization of organelles and other compartments inside cell-organization is a complex -- and the processes that control it are poorly understood. The research contained within this document is an approach to making this problem more tractable -- development of statistical methods to compare changes in intracellular organization between populations of cells.
520 $a Further, this work is both experimental and theoretical. The organization of the chloroplast micronucleoids was examined within populations (>1000 cells each) of four strains of Chlamydomonas reinhardtii. Two wild type strains (cc124, cc125) and two cell geometry mutant strains (asq2, bld10) were examined with this method. As well, Monte Carlo simulations of organization were conducted utilizing the same parameters as the real cells. Two-dimensional images of objects were segmented to identify individual objects, and the locations of internal points of interest were recorded.
520 $a This method can discriminate organizational mutants from wild type statistically -- correctly identifying the known organizational mutants bld10 and asq2 as being significantly different from wild type. As well simulations indicate that the method is broadly sensitive to differences in the type and strength of organization within cells. Looking forward to the future, the sorts of quantitative approaches developed in this paper could well be used to determine what genes are involved in intracellular organization.
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