Eukaryotic Models - Revision history

WikiSysop at 15:58, 10 December 2007

2007-12-10T15:58:05Z

Miwaters at 15:00, 6 December 2007

2007-12-06T15:00:18Z

Miwaters at 14:59, 6 December 2007

2007-12-06T14:59:33Z

Miwaters at 02:40, 6 December 2007

2007-12-06T02:40:18Z

Miwaters at 02:39, 6 December 2007

2007-12-06T02:39:55Z

Miwaters at 02:38, 6 December 2007

2007-12-06T02:38:02Z

Miwaters at 02:34, 6 December 2007

2007-12-06T02:34:33Z

Miwaters at 02:34, 6 December 2007

2007-12-06T02:34:18Z

Miwaters at 00:57, 6 December 2007

2007-12-06T00:57:59Z

Miwaters at 00:49, 6 December 2007

2007-12-06T00:49:57Z

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 =Eukaryotic Models of Stochasticity in Gene Expression=
-Eukaryotic Models of stochasticity differ from prokaryotic models because their processes of transcription and translation are inherently different. Therefore, in stochastic models, different single variables are needed to account for discrepancies. Collins et. al. created a model for Stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
+Eukaryotic Models of stochasticity differ from prokaryotic models because their processes of transcription and translation are inherently different. Therefore, in stochastic models, different single variables are needed to account for discrepancies. Collins ''et. al''. created a model for stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins ''et. al.'', 2003).
 <br><br><center>
 '''Figure 1'''<br>

@@ Line 1: / Line 1: @@
 =Eukaryotic Models of Stochasticity in Gene Expression=
-Eukaryotic Models of stochasticity differ from prokaryotic models becuase their processes of transcription and translation are inherently different. Therefore, in  stochastic models, different single variables are needed to account for discrepencies. Collins et. al. created a model for Stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
+Eukaryotic Models of stochasticity differ from prokaryotic models because their processes of transcription and translation are inherently different. Therefore, in stochastic models, different single variables are needed to account for discrepancies. Collins et. al. created a model for Stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
 <br><br><center>
 '''Figure 1'''<br>

@@ Line 1: / Line 1: @@
 =Eukaryotic Models of Stochasticity in Gene Expression=
-Eukaryotic Models of stochasticity differ from prokaryotic models becuase their processes of transcription and translation are inherently different. Therefore, in  stochastic models, different single variables are needed to account for discrepencies. Collins et. al. created a model for Stochasticity in Eukaryotes, focusing on the stabilization of the transcriptional complex to mRNA. Where states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
+Eukaryotic Models of stochasticity differ from prokaryotic models becuase their processes of transcription and translation are inherently different. Therefore, in  stochastic models, different single variables are needed to account for discrepencies. Collins et. al. created a model for Stochasticity in eukaryotes which represented factors in the stabilization of the transcriptional complex to mRNA (Figure 1). In Figure 1, states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
 <br><br><center>
 '''Figure 1'''<br>

@@ Line 2: / Line 2: @@
 Eukaryotic Models of stochasticity differ from prokaryotic models becuase their processes of transcription and translation are inherently different. Therefore, in  stochastic models, different single variables are needed to account for discrepencies. Collins et. al. created a model for Stochasticity in Eukaryotes, focusing on the stabilization of the transcriptional complex to mRNA. Where states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
 <br><br><center>
-Figure 1
+'''Figure 1'''<br>
 [[Image:400px-Eukaryotic_stochastic_model.jpg ]]
 <br>
 Figure 1 was obtained at http://www.nature.com/nature/journal/v422/n6932/abs/nature01546.html permission pending</center>
 <center> [[Modeling Stochasticity | Back to Modeling Stochasticity]]</center>

@@ Line 1: / Line 1: @@
 =Eukaryotic Models of Stochasticity in Gene Expression=
 Eukaryotic Models of stochasticity differ from prokaryotic models becuase their processes of transcription and translation are inherently different. Therefore, in  stochastic models, different single variables are needed to account for discrepencies. Collins et. al. created a model for Stochasticity in Eukaryotes, focusing on the stabilization of the transcriptional complex to mRNA. Where states PC1, PC2, and PC3 all detail different states of DNA. PC1 represents the inactive DNA, PC2 represents an intermediate complex where TATA binding protein and other transcriptional factors are bound, and PC3 represents the preinitiation complex. Another characterization of Eukaryotic expression lies in the alpha variable which represents masking and unmasking of DNA by chromatin structure (Collins et. al., 2003).
-<br><br>
+<br><br><center>
 Figure 1
 [[Image:400px-Eukaryotic_stochastic_model.jpg ]]
 <br>
-Figure 1 was obtained at
+Figure 1 was obtained at http://www.nature.com/nature/journal/v422/n6932/abs/nature01546.html permission pending</center>
 <center> [[Modeling Stochasticity | Back to Modeling Stochasticity]]</center>

← Older revision		Revision as of 02:34, 6 December 2007
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−	[[Image:Eukaryotic_stochastic_model.jpg\| ~~200~~ px ]]	+	[[Image:Eukaryotic_stochastic_model.jpg\| 100 px ]]
	<center> [[Modeling Stochasticity \| Back to Modeling Stochasticity]]</center>		<center> [[Modeling Stochasticity \| Back to Modeling Stochasticity]]</center>