Literature DB >> 23334753

Microfluidic chemostat for measuring single cell dynamics in bacteria.

Zhicheng Long1, Eileen Nugent, Avelino Javer, Pietro Cicuta, Bianca Sclavi, Marco Cosentino Lagomarsino, Kevin D Dorfman.   

Abstract

We designed a microfluidic chemostat consisting of 600 sub-micron trapping/growth channels connected to two feeding channels. The microchemostat traps E. coli cells and forces them to grow in lines for over 50 generations. Excess cells, including the mother cells captured at the start of the process, are removed from both ends of the growth channels by the media flow. With the aid of time-lapse microscopy, we have monitored dynamic properties such as growth rate and GFP expression at the single-cell level for many generations while maintaining a population of bacteria of similar age. We also use the microchemostat to show how the population responds to dynamic changes in the environment. Since more than 100 individual bacterial cells are aligned and immobilized in a single field of view, the microchemostat is an ideal platform for high-throughput intracellular measurements. We demonstrate this capability by tracking with sub-diffraction resolution the movements of fluorescently tagged loci in more than one thousand cells on a single device. The device yields results comparable to conventional agar microscopy experiments with substantial increases in throughput and ease of analysis.

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Year:  2013        PMID: 23334753     DOI: 10.1039/c2lc41196b

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  36 in total

1.  A nanoliter microfluidic serial dilution bioreactor.

Authors:  Guo-Yue Gu; Yi-Wei Lee; Chih-Chung Chiang; Ya-Tang Yang
Journal:  Biomicrofluidics       Date:  2015-08-31       Impact factor: 2.800

2.  Histogram analysis for smartphone-based rapid hematocrit determination.

Authors:  Uddin M Jalal; Sang C Kim; Joon S Shim
Journal:  Biomed Opt Express       Date:  2017-06-16       Impact factor: 3.732

3.  Isolation of cells for selective treatment and analysis using a magnetic microfluidic chip.

Authors:  O Yassine; C P Gooneratne; D Abu Smara; F Li; H Mohammed; J Merzaban; J Kosel
Journal:  Biomicrofluidics       Date:  2014-06-16       Impact factor: 2.800

4.  Noise-driven growth rate gain in clonal cellular populations.

Authors:  Mikihiro Hashimoto; Takashi Nozoe; Hidenori Nakaoka; Reiko Okura; Sayo Akiyoshi; Kunihiko Kaneko; Edo Kussell; Yuichi Wakamoto
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-07       Impact factor: 11.205

5.  Multimodal microfluidic platform for controlled culture and analysis of unicellular organisms.

Authors:  Tao Geng; Chuck R Smallwood; Erin L Bredeweg; Kyle R Pomraning; Andrew E Plymale; Scott E Baker; James E Evans; Ryan T Kelly
Journal:  Biomicrofluidics       Date:  2017-09-19       Impact factor: 2.800

6.  Simulating Genetic Circuits in Bacterial Populations with Growth Heterogeneity.

Authors:  Anjan Roy; Stefan Klumpp
Journal:  Biophys J       Date:  2018-01-23       Impact factor: 4.033

Review 7.  Review of methods to probe single cell metabolism and bioenergetics.

Authors:  Andreas E Vasdekis; Gregory Stephanopoulos
Journal:  Metab Eng       Date:  2014-10-31       Impact factor: 9.783

Review 8.  Microfluidics expanding the frontiers of microbial ecology.

Authors:  Roberto Rusconi; Melissa Garren; Roman Stocker
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

9.  Single cell antimicrobial susceptibility testing by confined microchannels and electrokinetic loading.

Authors:  Yi Lu; Jian Gao; Donna D Zhang; Vincent Gau; Joseph C Liao; Pak Kin Wong
Journal:  Anal Chem       Date:  2013-02-27       Impact factor: 6.986

Review 10.  Using time-lapse fluorescence microscopy to study gene regulation.

Authors:  Fan Zou; Lu Bai
Journal:  Methods       Date:  2018-12-29       Impact factor: 3.608

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