From cell populations to single cells - quantitative analysis of osmotic regulation in yeast
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Date
2010-09-06
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Abstract
To date, interdisciplinary research is becoming increasingly popular because it combines the
achievements of diverse disciplines, having the potential of providing a completely new angle
to pertinent research problems. Using increasingly sophisticated tools allowed obtaining large
sets of high resolution data but also created the challenge of using this information effectively
and interpreting it in a reliable way. Searching for “simplicity in complexity” inspired by
engineering and computer sciences, is a new trend in biological sciences, which allows
integrating the vast amount of existing knowledge.
Single cell analysis is a good example of interdisciplinary research: dissecting a cell
population to specific individuals is at instances necessary in order to obtain information on
heterogeneity and cellular dynamics, which might be obscured when investigating, for
instance, protein levels in extracts obtained from cell populations. In this thesis I have
presented quantitative and time resolved measurements of cellular and nuclear volume, as
well as protein shuttling, enabled by the development of a microscope platform dedicated to
this type of measurements. I have investigated the response characteristics of the High
Osmolarity Glycerol (HOG) pathway in Saccharomyces cerevisiae as an example of a MAP
kinase network, such as the time scale and amplitude of nuclear Hog1 accumulation,
correlated with biophysical changes.
I have also performed experiments on cell populations, aimed at the quantitative
characterisation of the downstream effects of the HOG pathway activity, namely glycerol
accumulation. In combination of mathematical modelling employing time varying response
coefficients, this information allowed us to characterise the importance of each glycerol
accumulation mechanism, on different time scales.
In summary, in this thesis I investigated the quantitative aspects of yeast osmotic regulation,
providing precise, time resolved information about the biophysical characteristics of osmotic
regulation. This work also provides new insight into the network properties of the HOG
pathway, indicating the limitations of the response linearity range and the quantitative
characterisation of the consequences of HOG activity, namely the interdependence of glycerol
accumulation mechanisms. While achieving these goals, I contributed to the development of
the single cell analysis platform, dedicated to analysing sub-cellular protein shuttling,
correlated with measurements of cellular and nuclear volume.
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Keywords
mikrobiologi, systembiologi