[Todos] Seminario Especial conjunto IFIBYNE-DFBMC-Sebastian Kadener -Martes 19 de julio a las 12 hs (RECORDATORIO)
Patricia Iwanczyszyn
patriciaiwan en fbmc.fcen.uba.ar
Mar Jul 19 10:52:23 ART 2011
Martes 19 de julio a las 12 hs - en el aula de seminarios.
Sebastian Kadener, PhD The Hebrew University of Jerusalem
Título: "Understanding the robustness of the
circadian clock: from gene expression to neuronal networks and behavior"
One of the key quests of modern biology is to
disentangle the molecular and cellular bases of
behavior. Circadian (24hs) rhythms in locomotor
activity are one of the best-characterized
behaviors at the molecular, cellular and neural
levels. Despite that, our understanding of how
these rhythms are generated is still limited. The
current model postulates that circadian clocks
keep time through a complex
transcriptional-translational negative feedback
loop that takes place in the so-called “clock
cells”. Each one of these clock cells has been
proposed to function autonomously (each cell is
its own oscillator). In Drosophila, the master
gene CLK and CYC activate the circadian system by
promoting rhythmic transcription of several key
clock genes. Three of these target gene products,
PER, TIM and CWO repress CLK-CYC mediated
transcription in a timely manner. These cycles of
transcriptional activation and repression lead to
24 hours molecular oscillations, which ultimately
generate the behavioral rhythms.
Circadian clocks are extraordinarily robust
systems; they are able to keep time accurately
without any timing cues. In addition, and despite
their biochemical nature they are resilient to
big variations in environmental conditions (i.e.
temperature). This is likely the result of
possessing multiple layers of regulation, which
assure accurate timekeeping and buffering of
stochastic changes into the molecular clockwork.
Recent evidence suggests that these layers of
regulation extend even beyond the single cell
level. Circadian neurons in the brain are
organized in a network that is believed to
synchronize the individual neuronal oscillators
thereby contributing to a coherent and robust behavioral output.
Our current work focuses on the study of
mechanisms that contribute to the robustness of
the circadian clocks. For doing so we aim to
tackle two different issues: 1) what are the
mechanism that mediate this robustness at the
cell-autonomous (molecular-cellular) level? and
2) How does the neural network structure of the
brain circadian clock contribute to this robustness?
1) By performing fluorescent real-time monitoring
of single cells carrying reporters we found that
post-transcriptional regulation of the central
circadian transcription factor clk is key for
robust circadian gene expression. Briefly, we
found that regulation of clk (mainly by miRNAs)
sets a threshold for the amount of clk mRNA that
will be translated into protein. At low
transcriptional levels, no protein is produced,
however at higher levels of transcription, CLK
protein is produced in a dose dependent way. In
reporters lacking this regulation, leaking
transcription is prevalent. As CLK is a very
powerful transcriptional activator, these small
changes are greatly amplified when we analyzed
the effect of losing this regulation at the
single cell level on a CLK-driven transcriptional
reporter (Tim-YFP). This amplification is bigger
than 10 fold for low levels of transcription and
could explain how coherent cycles of CLK-driven
transcription are generated in the living animal.
We have demonstrated that this regulation is also
highly relevant in vivo. We are currently
determining whether this regulation also
diminishes the transcriptional noise of the system.
2) By utilizing an inducible tool to perturb
CLK-driven transcription in vivo, we are studying
the response of the circadian network to
perturbations in circadian transcription in
different sets of neurons. Indeed we found that
while a well-studied peripheral circadian
oscillator is deeply affected by the disruption
of CLK-driven molecular oscillations, the brain
circadian clock is more resilient to this
perturbation. We are currently determining which
characteristics of the brain neuronal network are
responsible for this resistance.
Host: Alejandro Colman Lerner
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