R
Remy Chait
Researcher at Harvard University
Publications - 20
Citations - 5693
Remy Chait is an academic researcher from Harvard University. The author has contributed to research in topics: Population & Antibiotic resistance. The author has an hindex of 17, co-authored 19 publications receiving 5077 citations. Previous affiliations of Remy Chait include Institute of Science and Technology Austria & University of Exeter.
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Journal ArticleDOI
Bacterial Persistence as a Phenotypic Switch
Nathalie Q. Balaban,Nathalie Q. Balaban,Jack Merrin,Remy Chait,Lukasz Kowalik,Stanislas Leibler +5 more
TL;DR: Investigating the persistence of single cells of Escherichia coli with the use of microfluidic devices found phenotypic switching occurred between normally growing cells and persister cells having reduced growth rates, leading to a simple mathematical description of the persistence switch.
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Evolutionary paths to antibiotic resistance under dynamically sustained drug selection
TL;DR: A selection device, the 'morbidostat', that continuously monitors bacterial growth and dynamically regulates drug concentrations, such that the evolving population is constantly challenged, shows that parallel populations evolved similar mutations and acquired them in a similar order.
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Dynamic Persistence of Antibiotic-Stressed Mycobacteria
Yuichi Wakamoto,Neeraj Dhar,Remy Chait,Katrin Schneider,François Signorino-Gelo,Stanislas Leibler,Stanislas Leibler,John D. McKinney +7 more
TL;DR: Using microfluidic cultures and time-lapse microscopy, it is found that Mycobacterium smegmatis persists by dividing in the presence of the drug isoniazid (INH), and this apparent stability was actually a dynamic state of balanced division and death.
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Spatiotemporal microbial evolution on antibiotic landscapes
Michael H. Baym,Tami D. Lieberman,Eric D. Kelsic,Remy Chait,Rotem Gross,Idan Yelin,Roy Kishony,Roy Kishony +7 more
TL;DR: The MEGA-plate provides a versatile platform for studying microbial adaption and directly visualizing evolutionary dynamics, and it is found that evolution is not always led by the most resistant mutants; highly resistant mutants may be trapped behind more sensitive lineages.
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Antibiotic interactions that select against resistance
TL;DR: These findings demonstrate a previously unappreciated feature of the fitness landscape for the evolution of resistance and point to a trade-off between the effect of drug interactions on absolute potency and the relative competitive selection that they impose on emerging resistant populations.