n oise p ropagation in g ene n etworks juan m. pedraza and alexander van oudenaarden 1 vc lab, dept....
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NOISE PROPAGATION INGENE NETWORKSJuan M. Pedraza and Alexander van Oudenaarden
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NOISE
Fluctuations in concentrations
Cyan fluorescent protein
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SCHEMATIC DESIGN
Promoters
Fluorescent proteins
CascadeUpstream gene Downstream gene
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QUANTIFY
Correlation
F: fluorescence levels i, j: indices refer to the
gene number Self-correlations(variation)
Cross-correlations
, ,
iii C
12C 13C 23C
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Different manner
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SOURCES OF NOISE
Intrinsic noise Transmitted intrinsic noise from upstream
genes Global noise
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INTRINSIC NOISE
Low copy numbers of mRNAs
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TRANSMITTED INTRINSIC NOISE
Three factors Intrinsic noise for upstream gene The effect of temporal averaging(depends on the
lifetimes of the proteins) Susceptibility of the downstream gene to the
upstream one
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TRANSMITTED INTRINSIC NOISE
Susceptibility Logarithmic gain
(average expression of j changes when i is varied)
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TRANSMITTED INTRINSIC NOISE
Susceptibility(Cont.) Example
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GLOBAL NOISE
Cellular components change the reaction rate
Transmitted global fluctuation does not simply add to the direct global noise(because they are from same source)
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NONINTERACTING GENES
dominated by the global noisewhich is transmitted form gene 1to gene 2
23C
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RESULT
Adding ATC
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RESULT
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DISCUSSION
Noise-tolerant synthetic circuits in silico v.s. in vivo
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REFERENCE
Tom Ellis, Xiao Wang & James J Collins, Diversity-based, model-guided construction of synthetic gene networks with predicted functions, Nature Biotechnology 27, 465-471(2009)
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