Results 111 to 120 of about 259,182 (233)

Designer Gene Networks: Towards Fundamental Cellular Control

, 2001
The engineered control of cellular function through the design of synthetic genetic networks is becoming plausible. Here we show how a naturally occurring network can be used as a parts list for artificial network design, and how model formulation leads ...
Ackers, Arkin, Barkai, Becksei, Bialek, Bray, Chen, Dickson, Elowitz, Endy, Gardner, Gillespie, Glass, Glass, Glass, Hammond, Harada, Harding, Hartwell, Hasty, Jacob, Johnson, Johnson, Kauffman, Keller, Lauffenburger, Lowman, McAdams, McAdams, McAdams, McClure, Meyer, Monod, Monod, Moran, Novak, Novak, Novick, Ohlendorf, Palsson, Ptaschne, Reinitz, Rozanov, Samoilov, Sancho, Savageau, Savageau, Savageau, Shea, Smolen, Sveiczer, Szafranski, Tyson, Villaverde, von Hippel, Wolf, Wong   +56 more
core   +1 more source

Global analysis of host response to induction of a latent bacteriophage

BMC Microbiology, 2007
Background The transition from viral latency to lytic growth involves complex interactions among host and viral factors, and the extent to which host physiology is buffered from the virus during induction of lysis is not known. A reasonable hypothesis is
Keasling Jay D, Figueroa Israel A, Osterhout Robin E, Arkin Adam P   +3 more
doaj   +1 more source

Topological examination of the bacteriophage lambda S holin by EPR spectroscopy. [PDF]

Biochim Biophys Acta Biomembr, 2023
Morris AK, Perera RS, Sahu ID, Lorigan GA.   +3 more
europepmc   +1 more source

Fixed points and limit cycles in the population dynamics of lysogenic viruses and their hosts

, 2010
Starting with stochastic rate equations for the fundamental interactions between microbes and their viruses, we derive a mean field theory for the population dynamics of microbe-virus systems, including the effects of lysogeny. In the absence of lysogeny,
A. Kolmogorov, A. Marr, A. Wallace, J. Smith, J. Weitz, M. Ptashne, Nigel Goldenfeld, Zhenyu Wang   +7 more
core   +1 more source

The bacteriophage lambda integrase catalytic domain can be modified to act with the regulatory domain as a recombination-competent binary recombinase. [PDF]

J Biol Chem, 2023
Williams JD, Voziyanova E, Voziyanov Y.
europepmc   +1 more source

Coupling of DNA Replication and Negative Feedback Controls Gene Expression for Cell-Fate Decisions

iScience, 2018
Summary: Cellular decision-making arises from the expression of genes along a regulatory cascade, which leads to a choice between distinct phenotypic states. DNA dosage variations, often introduced by replication, can significantly affect gene expression
Qiuyan Shao, Michael G. Cortes, Jimmy T. Trinh, Jingwen Guan, Gábor Balázsi, Lanying Zeng   +5 more
doaj   +1 more source

EGFR-targeted bacteriophage lambda penetrates model stromal and colorectal carcinoma tissues, is taken up into carcinoma cells, and interferes with 3-dimensional tumor formation. [PDF]

Front Immunol, 2022
Huh H, Chen DW, Foldvari M, Slavcev R, Blay J.   +4 more
europepmc   +1 more source

Single-Stranded DNA-Binding Protein and Exogenous RecBCD Inhibitors Enhance Phage-Derived Homologous Recombination in Pseudomonas

iScience, 2019
Summary: The limited efficiency of the available tools for genetic manipulation of Pseudomonas limits fundamental research and utilization of this genus.
Jia Yin, Wentao Zheng, Yunsheng Gao, Chanjuan Jiang, Hongbo Shi, Xiaotong Diao, Shanshan Li, Hanna Chen, Hailong Wang, Ruijuan Li, Aiying Li, Liqiu Xia, Yulong Yin, A. Francis Stewart, Youming Zhang, Jun Fu   +15 more
doaj   +1 more source

Interaction of Bacteriophage l with Its E. coli Receptor, LamB

Viruses, 2012
The initial step of viral infection is the binding of a virus onto the host cell surface. This first viral-host interaction would determine subsequent infection steps and the fate of the entire infection process.
Sujoy Chatterjee, Eli Rothenberg
doaj   +1 more source

Boolean Models of Bistable Biological Systems

, 2009
This paper presents an algorithm for approximating certain types of dynamical systems given by a system of ordinary delay differential equations by a Boolean network model.
A. Novick, C. Conradi, E. Aurell, F. Jacob, L. Mendoza, M. Cohn, M. Ptashne, M. Santillán, N. Friedman, N. Yildirim, P. Wong, R. Albert, R. de Boer, R. Edwards, R. Laubenbacher, S. A. Kauffman, T. Tian   +16 more
core   +1 more source