DocumentCode
386475
Title
Integrated modeling of yeast kinetochore microtubule dynamics and the imaging thereof by fluorescence microscopy
Author
Sprague, Brian ; Pearson, Chad ; Maddox, Paul ; Salmon, Edward ; Odde, David
Author_Institution
Dept. of Biomed. Eng., Minnesota Univ., Minneapolis, MN, USA
Volume
1
fYear
2002
fDate
2002
Firstpage
596
Abstract
We were interested in determining the mechanisms by which microtubules mediate the segregation of chromosomes during mitosis in S. cerevisiae. In metaphase each chromosome has a single kinetochore assembled on its kinetochore region and each yeast kinetochore is in turn associated with a single microtubule plus end. A yeast strain containing a GFP fusion to the kinetochore protein, Cse4p, was used to track kinetochore microtubule dynamics by fluorescence microscopy. However, the images were blurry as a result of diffraction, and so rather than deconvolve the experimental images, we instead convolved the model predictions with a model of the image formation process to generate simulated microscopic images. Using the latter approach, which we call "model-convolution," it was impossible to mistakenly converge to a false reconstructed image, as can happen with the former approach, and it was computationally faster. The simulated images were compared statistically to the experimental images to determine that a simple dynamic instability model was unacceptable. However, a stable spatial gradient of microtubule catastrophe rate model provided reasonable agreement. These results show that the behaviors of proteins confined to subcellular compartments can be quantitatively analyzed, provided that both the intrinsic dynamics and the imaging of those dynamics are modeled.
Keywords
biological techniques; cellular biophysics; fluorescence; microorganisms; optical microscopy; physiological models; Cse4p; GFP fusion; chemotaxis; chromosomes segregation; dynamics imaging; experimental images; false reconstructed image; fluorescence microscopy imaging; kinetochore protein; microtubule catastrophe rate model; microtubules; mitosis; protein behavior; simple dynamic instability model; stable spatial gradient; subcellular compartments; yeast kinetochore microtubule dynamics; Assembly; Biological cells; Capacitive sensors; Computational modeling; Diffraction; Fluorescence; Fungi; Microscopy; Predictive models; Proteins;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
ISSN
1094-687X
Print_ISBN
0-7803-7612-9
Type
conf
DOI
10.1109/IEMBS.2002.1136969
Filename
1136969
Link To Document