Corrigendum: DNA looping increases the range of bistability in a stochastic model of the lac genetic switch (2013 Phys. Biol. 10 026002)

2014 ◽  
Vol 11 (2) ◽  
pp. 029501
Author(s):  
Tyler M Earnest ◽  
Elijah Roberts ◽  
Michael Assaf ◽  
Karin Dahmen ◽  
Zaida Luthey-Schulten
PLoS Genetics ◽  
2014 ◽  
Vol 10 (10) ◽  
pp. e1004733 ◽  
Author(s):  
Gayetri Ramachandran ◽  
Praveen K. Singh ◽  
Juan Roman Luque-Ortega ◽  
Luis Yuste ◽  
Carlos Alfonso ◽  
...  

2013 ◽  
Vol 10 (2) ◽  
pp. 026002 ◽  
Author(s):  
Tyler M Earnest ◽  
Elijah Roberts ◽  
Michael Assaf ◽  
Karin Dahmen ◽  
Zaida Luthey-Schulten
Keyword(s):  

2014 ◽  
Vol 106 (2) ◽  
pp. 626a
Author(s):  
Keith Shearwin ◽  
Lun Cui ◽  
Iain Murchland ◽  
Ian B. Dodd

2002 ◽  
Vol 83 (11) ◽  
pp. 2891-2895 ◽  
Author(s):  
Victor Ladero ◽  
Pilar García ◽  
Juan C. Alonso ◽  
Juan E. Suárez

The transcriptional switch region of Lactobacillus casei temperate bacteriophage A2 contains three similar 20 bp operator subsites, O1, O2 and O3, which are interspersed between the divergent promoters P R and P L. The Cro protein binds initially to O3, which overlaps the −35 region of P L, excluding the RNA polymerase (σA-RNAP) from it. This results in the switching off of cI transcription and directs the incoming phage into the lytic cycle. At higher concentrations, Cro also binds to O1 and/or O2, which overlap P R, probably introducing a bend in the intervening DNA. This interaction induces DNA looping, which provokes the subsequent displacement of σA-RNAP from P R. Consequently, Cro abolishes the binding of σA-RNAP to the genetic switch of A2 and, presumably, its own synthesis, contributing indirectly to the entry of phage development into its late stages.


1964 ◽  
Vol 9 (7) ◽  
pp. 273-276
Author(s):  
ANATOL RAPOPORT
Keyword(s):  

1996 ◽  
Vol 6 (4) ◽  
pp. 445-453 ◽  
Author(s):  
Roberta Donato
Keyword(s):  

1987 ◽  
Vol 26 (03) ◽  
pp. 117-123
Author(s):  
P. Tautu ◽  
G. Wagner

SummaryA continuous parameter, stationary Gaussian process is introduced as a first approach to the probabilistic representation of the phenotype inheritance process. With some specific assumptions about the components of the covariance function, it may describe the temporal behaviour of the “cancer-proneness phenotype” (CPF) as a quantitative continuous trait. Upcrossing a fixed level (“threshold”) u and reaching level zero are the extremes of the Gaussian process considered; it is assumed that they might be interpreted as the transformation of CPF into a “neoplastic disease phenotype” or as the non-proneness to cancer, respectively.


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