Stochasticity in a Eukaryotic Background - Revision history

Miwaters at 14:50, 6 December 2007

2007-12-06T14:50:21Z

Miwaters at 23:56, 5 December 2007

2007-12-05T23:56:42Z

Miwaters at 23:55, 5 December 2007

2007-12-05T23:55:51Z

Miwaters at 23:54, 5 December 2007

2007-12-05T23:54:09Z

Miwaters at 23:52, 5 December 2007

2007-12-05T23:52:01Z

Miwaters at 23:51, 5 December 2007

2007-12-05T23:51:34Z

Miwaters at 23:51, 5 December 2007

2007-12-05T23:51:11Z

Miwaters at 23:50, 5 December 2007

2007-12-05T23:50:51Z

Miwaters at 01:11, 13 November 2007

2007-11-13T01:11:29Z

Miwaters at 01:11, 13 November 2007

2007-11-13T01:11:16Z

← Older revision		Revision as of 14:50, 6 December 2007
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−	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ~~ultimatly~~ result in different sources of ~~stochasticty~~ contributing as dominant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from an induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of ~~prokayotes~~ and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in ~~prokayotes~~ but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.	+	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimately result in different sources of stochasticity contributing as dominant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from an induced to a repressed promoter state very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokaryotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokaryotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.

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-'''Other Factors in Eukaryotic Backgrounds'''
+'''Other Factors in Eukaryotic Backgrounds (In Addition to Chromatin Remodeling)'''
 #Transcriptional initiation involves TATA box binding protein
 #Initiated mRNA forms a stable complex
-In addition to chromatin remodeling
 <br><br><br>
 <center>[[Origins and Characterization of Stochasticity | Back to Origins and Characterization Home]]</center>

← Older revision		Revision as of 23:55, 5 December 2007
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−	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimatly result in different sources of stochasticty contributing as dominant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from ~~and~~ induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.	+	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimatly result in different sources of stochasticty contributing as dominant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from an induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.

← Older revision		Revision as of 23:54, 5 December 2007
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−	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimatly ~~emphasizes~~ different sources of stochasticty as ~~singinicant~~ sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.	+	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimatly result in different sources of stochasticty contributing as dominant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.

← Older revision		Revision as of 23:52, 5 December 2007
Line 1:		Line 1:
−	The transcriptional and translational processes in eukaryotes are different from prokaryotes. The differences in eukaryotic gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.	+	The transcriptional and translational processes in eukaryotes are different from those in prokaryotes. The differences in eukaryotic gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.

← Older revision		Revision as of 23:51, 5 December 2007
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−	The transcriptional and translational processes in eukaryotes are different from prokaryotes. The differences in ~~Eukaryotic~~ gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for ~~Eukaryotic~~ genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.	+	The transcriptional and translational processes in eukaryotes are different from prokaryotes. The differences in eukaryotic gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.

← Older revision		Revision as of 23:50, 5 December 2007
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−	The transcriptional processes in ~~Eukaryotes~~ are different from prokaryotes. The differences in Eukaryotic gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for Eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow. () ~~Demonstrated~~ that transcriptional efficiency has a larger effect on noise strength than translational efficiency in ~~Eukaryotes~~.	+	The transcriptional processes in eukaryotes are different from prokaryotes. The differences in Eukaryotic gene expression ultimatly emphasizes different sources of stochasticty as singinicant sources of noise. The need for Eukaryotic genetic information to transition between open and closed chromatin structures makes the turnover time from and induced to a repressed promoter very slow (Eisen, 2004). Collins et. al. demonstrated that transcriptional efficiency has a larger effect on noise strength than translational efficiency in eukaryotes (Collins et. al., 2003). These data demonstrate that the dominant sources of stochasticity in the gene expression process of prokayotes and eukaryotes are opposite each other. Transcriptional bursting (the finite number effect) is negligible in prokayotes but is also the dominant source of stochasticity in eukaryotes. Translational bursting is negligible in eukaryotes but is the dominant sources of stochasticity in prokaryotes.
		+

	'''Other Factors in Eukaryotic Backgrounds'''		'''Other Factors in Eukaryotic Backgrounds'''