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Master's thesis: Optimising a sensor of cellular age
Ageing is commonly defined as the time-dependent deterioration in organismal fitness. However, variability in ageing kinetics has led to the hypothesis that each cell type possesses its own ageing trajectory. We currently develop novel ageing sensors to characterize the progression of cellular age across different murine cell types and tissues. The aim of the project is to modify the existing sensors allowing for real-time analysis of cellular age in diverse cell types.
Techniques and tasks to be performed:
Cloning of new construct
Cell culture of mammalian cell lines
Confocal imaging
Live-cell imaging
Immunohistochemistry
Data analysis (some of it in R studio)
Lab book maintenance and occasional lab meeting presentations
Project details
Duration: minimum 6 months, preferably full-time
Starting date: to be discussed
Requirements:
Must have bachelor’s degree, preferably with molecular, cellular or biochemical background
At least 1 wet-lab experience
Techniques and tasks to be performed:
Cloning of new construct Cell culture of mammalian cell lines Confocal imaging Live-cell imaging Immunohistochemistry Data analysis (some of it in R studio) Lab book maintenance and occasional lab meeting presentations Project details
Duration: minimum 6 months, preferably full-time
Starting date: to be discussed
Requirements:
Must have bachelor’s degree, preferably with molecular, cellular or biochemical background
At least 1 wet-lab experience
Optimize the biosensor to make it more dynamic.
Express the new construct in cells.
Assess the dynamics of the new sensor using fixed and live-cell imaging.
Test the functionality of the sensor using artificially and physiologically aged cells.
Optimize the biosensor to make it more dynamic. Express the new construct in cells. Assess the dynamics of the new sensor using fixed and live-cell imaging. Test the functionality of the sensor using artificially and physiologically aged cells.
Please send your CV and motivation letter to Sebastian Jessberger (jessberger@hifo.uzh.ch) and Margaux Quiniou (quiniou@hifo.uzh.ch)
Please send your CV and motivation letter to Sebastian Jessberger (jessberger@hifo.uzh.ch) and Margaux Quiniou (quiniou@hifo.uzh.ch)