Finite Number Effect - Revision history

Miwaters at 14:33, 6 December 2007

2007-12-06T14:33:06Z

Miwaters at 14:31, 6 December 2007

2007-12-06T14:31:16Z

Miwaters at 00:10, 6 December 2007

2007-12-06T00:10:42Z

Miwaters at 00:09, 6 December 2007

2007-12-06T00:09:51Z

Miwaters at 00:09, 6 December 2007

2007-12-06T00:09:29Z

Miwaters at 00:08, 6 December 2007

2007-12-06T00:08:05Z

Miwaters at 19:26, 5 December 2007

2007-12-05T19:26:38Z

Miwaters at 19:25, 5 December 2007

2007-12-05T19:25:10Z

Miwaters at 19:24, 5 December 2007

2007-12-05T19:24:24Z

Miwaters at 19:21, 5 December 2007

2007-12-05T19:21:19Z

@@ Line 3: / Line 3: @@
 =Results=
-Graphs A and B in Figure 1 are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Graph A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Graph B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in graph b, demonstrates the finite number effect.
+Graphs A and B in Figure 1 are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Graph A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectively). Graph B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectively (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in graph b, demonstrates the finite number effect.
 <br>
 <center> <b>Figure 1</b>
@@ Line 12: / Line 12: @@
 Figure 1 was obtained at http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed&uid=15883588&cmd=showdetailview&indexed=google permission pending
 <br><br>
-A representative example is useful when demonstrating the finite number effect. Consider a cell where 10 protein molecules sit in the nucleus and 1000 in the cytoplasm. The removal of a molecule from the nucleus results in a 10% change in nuclear concentration, however the removal of a molecule from the cytoplasm results in only a 0.1% change. Thus a broader population heterogenity can be acheived when the size of the system is relatively small becuase of a small system's suceptibility to concentration changes as a result of stochastic events.
+A representative example is useful when demonstrating the finite number effect. Consider a cell where 10 protein molecules sit in the nucleus and 1000 in the cytoplasm. The removal of a molecule from the nucleus results in a 10% change in nuclear concentration, however the removal of a molecule from the cytoplasm results in only a 0.1% change. Thus broader population heterogeneity can be achieved when the size of the system is relatively small because of a small system's susceptibility to concentration changes as a result of stochastic events.
 <br><br><br>
 <center>[[Translational Bursting |Next Section in Origins and Characterization]] | [[Origins and Characterization of Stochasticity | Back to Origins and Characterization Home]]</center>

@@ Line 3: / Line 3: @@
 =Results=
-Figures A and B are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Figure A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Figure B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in figure b, demonstrates the finite number effect.
+Graphs A and B in Figure 1 are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Graph A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Graph B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in graph b, demonstrates the finite number effect.
 <br>
 <center> <b>Figure 1</b>

@@ Line 5: / Line 5: @@
 Figures A and B are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Figure A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Figure B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in figure b, demonstrates the finite number effect.
 <br>
-Figure 1
+<center> <b>Figure 1</b>
 <br>
 [[Image:Protein_level_effects_(vs_determinisitic_equations).png| 500 px]]
 <br>
 Figure 1 was obtained at http://www.ncbi.nlm.nih.gov/sites/entrez?db=pubmed&uid=15883588&cmd=showdetailview&indexed=google permission pending

@@ Line 3: / Line 3: @@
 =Results=
 Figures A and B are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Figure A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Figure B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in figure b, demonstrates the finite number effect.
 Figure 1
 <br>

@@ Line 4: / Line 4: @@
 Figures A and B are simulations of the abundance of a reporter protein measured over time (Collins et. al., 2003[http://complex.upf.es/~andreea/2006/Bib/Kaern.EngineeringGeneRegulatoryNetworks.Review.pdf]). Figure A details results in a system of a high number of expressed protein and mRNA molecules (3000 and 10000 respectivly). Figure B details the same simulation, however the number of expressed proteins and mRNA molecules was decreased to 30 and 100 molecules respectivly (100-fold difference.) The histogram on the right of each graph depicts the probability of a population expressing a respective abundance of protein. Broad distributions of populations in the histograms coupled with larger fluctuations in protein abundance, in figure b, demonstrates the finite number effect.
+Figure 1
-[[Image:Protein_level_effects_(vs_determinisitic_equations).png| 500 px]]
+<br>
 <br><br>
 A representative example is useful when demonstrating the finite number effect. Consider a cell where 10 protein molecules sit in the nucleus and 1000 in the cytoplasm. The removal of a molecule from the nucleus results in a 10% change in nuclear concentration, however the removal of a molecule from the cytoplasm results in only a 0.1% change. Thus a broader population heterogenity can be acheived when the size of the system is relatively small becuase of a small system's suceptibility to concentration changes as a result of stochastic events.