Noise in Feedback Loops - Revision history

WikiSysop at 16:04, 10 December 2007

2007-12-10T16:04:43Z

2007-12-06T17:20:15Z

2007-12-06T17:19:35Z

2007-12-06T01:47:07Z

2007-11-13T03:58:08Z

2007-11-13T03:39:50Z

2007-11-13T03:36:02Z

2007-11-13T03:35:28Z

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[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </b></center>

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 Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feedback loop. The comparison between the two states revealed that negative-autoregulation reduces noise in an autoregulatory system.
-Collins also detailed that the usual outcome of positive-feedback regulation is bistability because it gives rise to cellular states of high and low expression levels (Collins et. al., 2005).
+Collins also detailed that the usual outcome of positive-feedback regulation is bistability because it gives rise to cellular states of high and low expression levels (Collins ''et. al.'', 2005).
 <br><br><br>
 <center>[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </center>

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-Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feeedback loop. The comparision between the two states revealed that negative-autoregulation reduces noise in an autoregulatory system.
+Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feedback loop. The comparison between the two states revealed that negative-autoregulation reduces noise in an autoregulatory system.
-Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels (Collins et. al., 2005).
+Collins also detailed that the usual outcome of positive-feedback regulation is bistability because it gives rise to cellular states of high and low expression levels (Collins et. al., 2005).
 <br><br><br>
 <center>[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </center>

@@ Line 1: / Line 1: @@
 Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feeedback loop. The comparision between the two states revealed that negative-autoregulation reduces noise in an autoregulatory system.
-Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels (Collins, 2005).
+Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels (Collins et. al., 2005).
 <br><br><br>
 <center>[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </center>

@@ Line 1: / Line 1: @@
-Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feeedback loop. The comparision between the two states revealed tath negative-autoregulation reduces noise in an autoregulatory system.
+Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feeedback loop. The comparision between the two states revealed that negative-autoregulation reduces noise in an autoregulatory system.
-Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels.
+Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels (Collins, 2005).
 <br><br><br>
 <center>[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </center>

@@ Line 1: / Line 1: @@
-Some gene networks engage in the production of autoregulatory proteins. () Characterized the noise associated with positive and negative feedback loops.
+Some gene networks engage in the production of autoregulatory proteins. Collins details that an experiment run by Beckskei and Serrano characterized the effect of a negative feedback loop on noise in genetic autoregulatory networks. Becskei and Serrano generated a regulatory network and tested the noise strength in the absence of its negative feeedback loop. The comparision between the two states revealed tath negative-autoregulation reduces noise in an autoregulatory system.
+Collins also detailed that the usual outcome of positive-feedback regulation is bistability becuase it gives rise to cellular states of high and low expression levels.
 <br><br><br>
 <center>[[Manipulation of Stochasticity | Return to Manipulation of Stochasticity]] </center>

← Older revision		Revision as of 03:39, 13 November 2007
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		+	Some gene networks engage in the production of autoregulatory proteins. () Characterized the noise associated with positive and negative feedback loops.
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	<center>[[Manipulation of Stochasticity \| Return to Manipulation of Stochasticity]] </center>		<center>[[Manipulation of Stochasticity \| Return to Manipulation of Stochasticity]] </center>

← Older revision		Revision as of 03:36, 13 November 2007
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		+	<center>[[Manipulation of Stochasticity \| Return to Manipulation of Stochasticity]] </center>