Difference between revisions of "Origins and Characterization of Stochasticity"
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[[Stochasticity in a Eukaryotic Background|<span style="color:red">Stochasticity in a Eukaryotic Background</span>]] | [[Stochasticity in a Eukaryotic Background|<span style="color:red">Stochasticity in a Eukaryotic Background</span>]] | ||
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− | |<center> Manifestations of stochasticity in cellular protein production are observable in processes both intrinsic and extrinsic to the gene in question. Intrinsic stochasiticy is characterized as that which is inherent in the processes of transcription and translation (ex. Gillsepe Model); extrinsic stochasticity is characterized as that which arises from other sources (ex. Presence of RNAP/ribosomes/mRNA degredation machinery, stage in cell cycle, or plasmid copy number.) | + | |<center> Manifestations of stochasticity in cellular protein production are observable in processes both intrinsic and extrinsic to the gene in question. Intrinsic stochasiticy is characterized as that which is inherent in the processes of transcription and translation (ex. Gillsepe Model); extrinsic stochasticity is characterized as that which arises from other sources (ex. Presence of RNAP/ribosomes/mRNA degredation machinery, stage in cell cycle, or plasmid copy number.) While in theory stochasticity of protein production comes from many sources, many labs have sought to distinguish dominant causes from neglible ones. Different parameters and independent variables aside, there are underlying motifs in the characterization of stochasticiiy between studies. |
+ | A Prokaryotic vs. a Eukaryotic background is an important distinction to make when characterizing stochasticity. | ||
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<center><b>[[Term Paper Wiki | Previous Section]] | [[Modeling Stochasticity | Next Section]] </b></center> | <center><b>[[Term Paper Wiki | Previous Section]] | [[Modeling Stochasticity | Next Section]] </b></center> |
Revision as of 15:06, 12 November 2007
In Depth | Overview of the Origins and Characterization of Stochasticity | ||
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Finite Number Effect
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A Prokaryotic vs. a Eukaryotic background is an important distinction to make when characterizing stochasticity. |