Immediate Cessation of Transcription of the Operator–Proximal Region of the Tryptophan Operon in E. coli after Repression of the Operon

Nature ◽  
1968 ◽  
Vol 220 (5162) ◽  
pp. 31-34 ◽  
Author(s):  
FUMIO IMAMOTO
1966 ◽  
Vol 31 (0) ◽  
pp. 235-249 ◽  
Author(s):  
F. Imamoto ◽  
J. Ito ◽  
C. Yanofsky
Keyword(s):  
E Coli ◽  

Cell ◽  
1980 ◽  
Vol 19 (4) ◽  
pp. 829-836 ◽  
Author(s):  
Anna M. Wu ◽  
Alger B. Chapman ◽  
Terry Platt ◽  
Leonard P. Guarente ◽  
Jonathan Beckwith
Keyword(s):  
E Coli ◽  

2010 ◽  
Vol 192 (21) ◽  
pp. 5778-5787 ◽  
Author(s):  
Shu Ishikawa ◽  
Taku Oshima ◽  
Ken Kurokawa ◽  
Yoko Kusuya ◽  
Naotake Ogasawara

ABSTRACT To obtain insight into the in vivo dynamics of RNA polymerase (RNAP) on the Bacillus subtilis genome, we analyzed the distribution of the σA and β′ subunits of RNAP and the NusA elongation factor on the genome in exponentially growing cells using chromatin affinity precipitation coupled with gene chip mapping (ChAP-chip). In contrast to Escherichia coli RNAP, which often accumulates at the promoter-proximal region, B. subtilis RΝΑP is evenly distributed from the promoter to the coding sequences. This finding suggests that, in general, B. subtilis RNAP recruited to the promoter promptly translocates away from the promoter to form the elongation complex and proceeds without intragenic transcription attenuation. We detected RNAP accumulation in the promoter-proximal regions of some genes, most of which can be identified as transcription attenuation systems in the leader region. Our findings suggest that the differences in RNAP behavior between E. coli and B. subtilis during initiation and elongation steps might result in distinct strategies for postinitiation control of transcription. The E. coli mechanism involves trapping at the promoter and promoter-proximal pausing of RNAP in addition to transcription attenuation, whereas transcription attenuation in leader sequences is mainly employed in B. subtilis.


2006 ◽  
Vol 48 (3) ◽  
Author(s):  
Adelinde Uhrmacher ◽  
Céline Kuttler

SummaryThe creation of models for heterogeneous and complex cellular networks is a central goal of Systems Biology. When modeling a biological network, one may wish to account for certain aspects in detail, while a bird's eye perspective would seem more appropriate for other parts. Multi-level models combine such overview and detail representations. We illustrate multi-level modeling with gene regulation of the Tryptophan operon in E. coli. We review three discrete event modeling formalisms and discuss model design therein: DEVS, STATECHARTS, and stochastic π-CALCULUS. This introductory presentation already reveals some of their respective virtues and shortcomings.


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