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5th EuropEan MolEcular IMagIng MEEtIng - ESMI

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<strong>5th</strong> <strong>EuropEan</strong> <strong>MolEcular</strong> <strong>IMagIng</strong> <strong>MEEtIng</strong> – EMIM2010<br />

Transcription factors dynamics: from discrete pulses to oscillatory pattern to control gene<br />

expression<br />

Sée V.<br />

Centre for Cell Imaging, University of Liverpool<br />

violaine@liverpool.ac.uk<br />

At a given time-point, cells in a population are<br />

heterogeneous in their functions and fate and it is<br />

therefore vital to develop and apply methods that<br />

allow the measurement of dynamic molecular processes<br />

in single cells. We have shown, using single<br />

cell imaging, the critical role of nucleo-cytoplasmic<br />

localisation oscillations of the NF-κB transcription<br />

factor to control downstream pattern of gene transcription<br />

(Nelson et al, Science 2004; Ashall et al,<br />

Science 2009). NF-κB regulates cellular stress and<br />

immune responses to infection. In most cases, oscillations<br />

had previously been masked in population<br />

level studies by cellular heterogeneity. We developed<br />

a protocol based on cell treatment by repeated short<br />

pulses of TNFα at various intervals to mimic pulsatile<br />

inflammatory signals. This allowed obtaining<br />

synchronous cycles of NF-κB nuclear translocation.<br />

We have also observed cell to cell heterogeneity in<br />

other signalling systems such as in cellular response<br />

to low oxygen environment (hypoxia). In both inflammatory<br />

and hypoxic signalling systems one<br />

source of heterogeneity is due to the presence of extrinsic<br />

dynamic processes that are functionally coupled<br />

and that are occurring over different time scales.<br />

We identified the cell cycle as one source of variability<br />

as cells must coordinate and prioritise their<br />

response to the environment depending on their<br />

cell cycle status. We apply mathematical modelling<br />

using the quantitative data generated by imaging<br />

experiments to predict the role of the negative feedback,<br />

to unravel new network motifs and to characterise<br />

the cross-talk between the signalling systems.<br />

<strong>EuropEan</strong> SocIEty for <strong>MolEcular</strong> <strong>IMagIng</strong> – <strong>ESMI</strong><br />

day1<br />

<strong>ESMI</strong> Plenary Lecture 1 by Violaine Sée

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