
The Library
Quantitative analysis of chloroplast protein targeting
Tools
Li, Michael Kok Keng (2009) Quantitative analysis of chloroplast protein targeting. PhD thesis, University of Warwick.
![]()
|
PDF
WRAP_THESIS_Li_2009.pdf - Requires a PDF viewer. Download (56Mb) |
Official URL: http://webcat.warwick.ac.uk/record=b2341158~S9
Abstract
This thesis presents the first use of the Partition of Unity Method in quantifying
the spatio-temporal dynamics of a fluorescent protein targeted to
the chloroplast twin-arginine translocation pathway.
The fluorescence loss in photobleaching technique is applied in a modified
fashion to the measurement of substrate mobilities in the chloroplast
stroma. Our in vivo results address the two suggested protein targeting
mechanisms of membrane-binding before lateral movement to the translocon
and direct binding to the translocon.
A high performance computing C/C++ implementation of the Partition
of Unity Method is used to perform simulations of fluoresence loss
in photobleaching and allow a compelling comparison to photobleaching
data series. The implementation is both mesh-free and particle-less.
Item Type: | Thesis (PhD) | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QK Botany | ||||
Library of Congress Subject Headings (LCSH): | Partition of unity method, Chloroplasts, Fluorescent polymers, Plant proteins | ||||
Official Date: | September 2009 | ||||
Dates: |
|
||||
Institution: | University of Warwick | ||||
Theses Department: | Molecular Organisation and Assembly in Cells | ||||
Thesis Type: | PhD | ||||
Publication Status: | Unpublished | ||||
Supervisor(s)/Advisor: | Robinson, Colin, 1958- ; Kirkilionis, Markus, 1962- | ||||
Sponsors: | Engineering and Physical Sciences Research Council (EPSRC) (EP/C512863/1), Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC) (BB/C00437X/1) | ||||
Extent: | xiii, 209 leaves : ill., charts | ||||
Language: | eng |
Request changes or add full text files to a record
Repository staff actions (login required)
![]() |
View Item |
Downloads
Downloads per month over past year