Zobrazeno 1 - 10
of 29
pro vyhledávání: '"William H. Mather"'
Publikováno v:
Toxins, Vol 9, Iss 7, p 211 (2017)
Toxin–antitoxin (TA) systems are key regulators of bacterial persistence, a multidrug-tolerant state found in bacterial species that is a major contributing factor to the growing human health crisis of antibiotic resistance. Type II TA systems cons
Externí odkaz:
https://doaj.org/article/bdbc202dc8d24994b36bddd252ee4828
Autor:
Jeff Hasty, William H. Mather, Nicholas Csicsery, Scott Cookson, Elizabeth Stasiowski, Gregoire Thouvenin, Garrett Graham, Michael Ferry
Publikováno v:
Proc Natl Acad Sci U S A
Genome-scale technologies have enabled mapping of the complex molecular networks that govern cellular behavior. An emerging theme in the analyses of these networks is that cells use many layers of regulatory feedback to constantly assess and precisel
Autor:
Natalie A Cookson, William H Mather, Tal Danino, Octavio Mondragón‐Palomino, Ruth J Williams, Lev S Tsimring, Jeff Hasty
Publikováno v:
Molecular Systems Biology, Vol 7, Iss 1, Pp 1-9 (2011)
Abstract High‐throughput technologies have led to the generation of complex wiring diagrams as a post‐sequencing paradigm for depicting the interactions between vast and diverse cellular species. While these diagrams are useful for analyzing biol
Externí odkaz:
https://doaj.org/article/7509c9323d874f10a48122a309c2e61e
Publikováno v:
Nature Genetics. 49:1282-1285
A defining goal of synthetic biology is to engineer cells to coordinate tasks that often require precise temporal modulation of gene expression. Although a variety of relatively small gene circuits have been constructed and characterized, their logic
Publikováno v:
ACS Synthetic Biology. 6:455-462
Internal chemical oscillators (chemical clocks) direct the behavior of numerous biological systems, and maintenance of a given period and phase among many such oscillators may be important for their proper function. However, both environmental variab
Autor:
Taylor E. Hinchliffe, Samuel Castro, Oscar Velazquez, William H. Mather, Zakary S. Singer, Tal Danino, Tetsuhiro Harimoto, Joanna Zhang
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America. 116(18)
Synthetic biology is transforming therapeutic paradigms by engineering living cells and microbes to intelligently sense and respond to diseases including inflammation1,2, infections3-5, metabolic disorders6,7, and cancer8,9. However, the ability to r
Autor:
Taylor E. Hinchliffe, Oscar Velazquez, Zakary S. Singer, Tetsuhiro Harimoto, Samuel Castro, William H. Mather, Tal Danino, Joanna Zhang
Publikováno v:
Cancer Research. 80:6317-6317
Engineering tumor-homing bacteria to locally deliver therapeutics is an emerging approach for next-generation living therapy for cancer. However, the lack of physiologically-relevant in vitro testing environments to rapidly and quantitatively charact
Autor:
William H. Mather, Curtis T. Ogle
Chronic bacterial infections present a serious threat to the health of humans by decreasing life expectancy and quality. Resilience of these populations is closely linked to a small fraction of persister cells that are capable of surviving a wide ran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c75e2584e1b65eb321fc4e041b337c9
https://doi.org/10.1101/146027
https://doi.org/10.1101/146027
Autor:
William H. Mather, Nicholas C. Butzin
Recently, a synthetic circuit inE. colidemonstrated that two proteins engineered with LAA tags targeted to the native protease ClpXP are susceptible to crosstalk due to competition for degradation between proteins. To understand proteolytic crosstalk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::290c8a1e7d621a8ad79d674ea8e0bff5
https://doi.org/10.1101/136812
https://doi.org/10.1101/136812
Publikováno v:
Biophysical Journal. 104:2564-2572
It has been shown experimentally that competition for limited translational resources by upstream mRNAs can lead to an anticorrelation between protein counts. Here, we investigate a stochastic model for this phenomenon, in which gene transcripts of d