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Dr Remy Chait

Lecturer

 Living Systems Institute 

 

Living Systems Institute, University of Exeter, Stocker Road, Exeter, EX4 4QD

Overview

I enjoy ricocheting between disciplines, building research tools that change perspectives, and helping microbes, instruments, and theories converse.

Qualifications

2005-2011     PhD (Systems Biology)       Harvard University

1994-1998     BA   (Mathematics)              University of California – Berkeley

Career

2019-present             Lecturer in Biosciences      University of Exeter

2012-2018                 Posdoctoral Fellow             IST Austria

Research group links

Research

Research interests

My research is oriented around measuring and manipulating interactions between genes and their cellular, genomic, environmental, and community contexts giving rise to microbial population behaviors such as antibiotic resistance. We incorporate diverse approaches in experimental evolution, mathematics, systems microbiology, engineering and instrumentation to understand how interactions between cells shape bacterial community behaviors, the value of environmental sensing and phenotypic variation in fluctuating environments, and how phenotypes broadly respond to mutation.

My research spans elements of microbial systems biology, evolutionary biology cybergenetics, antimicrobial resistance, and engineering.

Publications

Key publications | Publications by category | Publications by year

Publications by category


Journal articles

Palmer AC, Chait R, Kishony R (2018). Nonoptimal Gene Expression Creates Latent Potential for Antibiotic Resistance. Molecular biology and evolution, 35(11), 2669-2684. Abstract.
Tkačik G, Guet CC (2017). Shaping bacterial population behavior through computer-interfaced control of individual cells. Nature Communications, 8(1). Abstract.
(2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology, 12(11), 902-904. Abstract.
(2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications, 7 Abstract.
(2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science, 353(6304), 1147-1151. Abstract.
(2013). Building a morbidostat: an automated continuous-culture device for studying bacterial drug resistance under dynamically sustained drug inhibition. Nature Protocols, 8(3), 555-567. Abstract.
(2013). Dynamic persistence of antibiotic-stressed mycobacteria. Science, 339(6115), 91-95. Abstract.
(2012). Evolutionary paths to antibiotic resistance under dynamically sustained drug selection. Nature Genetics, 44(1), 101-105. Abstract.
(2012). What counters antibiotic resistance in nature?. Nature Chemical Biology, 8(1), 2-5.
(2010). A differential drug screen for compounds that select against antibiotic resistance. PLoS ONE, 5(12). Abstract.
(2010). Optimal drug synergy in Antimicrobial Treatments. PLoS Computational Biology, 6(6), 1-9. Abstract.
Kishony R (2009). Nonoptimal Microbial Response to Antibiotics Underlies Suppressive Drug Interactions. Cell, 139(4), 707-718. Abstract.
(2008). Drug interactions modulate the potential for evolution of resistance. Proceedings of the National Academy of Sciences of the United States of America, 105(39), 14918-14923. Abstract.
Chait R, Craney A, Kishony R (2007). Antibiotic interactions that select against resistance. Nature, 446(7136), 668-671. Abstract.
Leibler S (2004). Bacterial persistence as a phenotypic switch. Science, 305(5690), 1622-1625. Abstract.

Publications by year


2018

Palmer AC, Chait R, Kishony R (2018). Nonoptimal Gene Expression Creates Latent Potential for Antibiotic Resistance. Molecular biology and evolution, 35(11), 2669-2684. Abstract.

2017

Tkačik G, Guet CC (2017). Shaping bacterial population behavior through computer-interfaced control of individual cells. Nature Communications, 8(1). Abstract.

2016

(2016). Compounds that select against the tetracycline-resistance efflux pump. Nature Chemical Biology, 12(11), 902-904. Abstract.
(2016). Pervasive selection for and against antibiotic resistance in inhomogeneous multistress environments. Nature Communications, 7 Abstract.
(2016). Spatiotemporal microbial evolution on antibiotic landscapes. Science, 353(6304), 1147-1151. Abstract.

2013

(2013). Building a morbidostat: an automated continuous-culture device for studying bacterial drug resistance under dynamically sustained drug inhibition. Nature Protocols, 8(3), 555-567. Abstract.
(2013). Dynamic persistence of antibiotic-stressed mycobacteria. Science, 339(6115), 91-95. Abstract.

2012

(2012). Evolutionary paths to antibiotic resistance under dynamically sustained drug selection. Nature Genetics, 44(1), 101-105. Abstract.
(2012). What counters antibiotic resistance in nature?. Nature Chemical Biology, 8(1), 2-5.

2010

(2010). A differential drug screen for compounds that select against antibiotic resistance. PLoS ONE, 5(12). Abstract.
(2010). Optimal drug synergy in Antimicrobial Treatments. PLoS Computational Biology, 6(6), 1-9. Abstract.

2009

Kishony R (2009). Nonoptimal Microbial Response to Antibiotics Underlies Suppressive Drug Interactions. Cell, 139(4), 707-718. Abstract.

2008

(2008). Drug interactions modulate the potential for evolution of resistance. Proceedings of the National Academy of Sciences of the United States of America, 105(39), 14918-14923. Abstract.

2007

Chait R, Craney A, Kishony R (2007). Antibiotic interactions that select against resistance. Nature, 446(7136), 668-671. Abstract.

2004

Leibler S (2004). Bacterial persistence as a phenotypic switch. Science, 305(5690), 1622-1625. Abstract.

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Teaching

Supervision / Group

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