Difference between revisions of "Finite Number Effect"
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The most recognized source of stochasticity in cellular protein production is the finite number effect. The finite number effect states that variability, manifested in the amount of protein production, will increase as the size of the system decreases. A decrease in the size of the system refers to the protein concentration of the cell (the amount of transcriptional machinery that the cell has to work with). | The most recognized source of stochasticity in cellular protein production is the finite number effect. The finite number effect states that variability, manifested in the amount of protein production, will increase as the size of the system decreases. A decrease in the size of the system refers to the protein concentration of the cell (the amount of transcriptional machinery that the cell has to work with). | ||
=Results= | =Results= | ||
| + | () Compared the protein level in the cell and noise. | ||
Revision as of 03:08, 12 November 2007
What is it
The most recognized source of stochasticity in cellular protein production is the finite number effect. The finite number effect states that variability, manifested in the amount of protein production, will increase as the size of the system decreases. A decrease in the size of the system refers to the protein concentration of the cell (the amount of transcriptional machinery that the cell has to work with).
Results
() Compared the protein level in the cell and noise.
