Literature DB >> 20967322

Microfluidics for bacterial chemotaxis.

Tanvir Ahmed1, Thomas S Shimizu, Roman Stocker.   

Abstract

Microfluidics is revolutionizing the way we study the motile behavior of cells, by enabling observations at high spatial and temporal resolution in carefully controlled microenvironments. An important class of such behavior is bacterial chemotaxis, which plays a fundamental role in a broad range of processes, including disease pathogenesis, biofilm formation, bioremediation, and even carbon cycling in the ocean. In biophysical research, bacterial chemotaxis represents a powerful model system to understand how cells and organisms sense and respond to gradients. Using microfluidics to study chemotaxis of free-swimming bacteria presents experimental challenges that are distinct from those arising in chemotaxis studies of surface-adherent cells. Recently, these challenges have been met by the development of advanced microdevices, able to generate flow-free, steady gradients of arbitrary shape. Much attention to date has been focused on tool development. Yet, we are now at an exciting turning point where science begins to balance technology. Indeed, recent microfluidic studies provided new insights on both the mechanisms governing bacterial gradient sensing (e.g. tuning of response sensitivity, discrimination between conflicting gradients) and the large-scale consequences of chemotaxis (e.g. in the oceans). Here we outline the principles underlying recently proposed gradient generators for bacterial chemotaxis, illustrate the advantage of the microfluidic approach through selected examples, and identify a broader set of scientific questions that may now be addressed with this rapidly developing technology. The latest generation of microfluidic gradient generators, in particular, holds appeal for both biophysicists seeking to unravel the fundamental mechanisms of bacterial chemotaxis, and ecologists wishing to model chemotaxis in realistic environments. Time is ripe for a deeper integration between technology and biology in fully bringing to bear microfluidics on studies of this fascinating microbial behavior.

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Year:  2010        PMID: 20967322     DOI: 10.1039/c0ib00049c

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  42 in total

1.  Solving medical problems with BioMEMS.

Authors:  Erkin Seker; Jong Hwan Sung; Michael L Shuler; Martin L Yarmush
Journal:  IEEE Pulse       Date:  2011-11       Impact factor: 0.924

2.  New motion analysis system for characterization of the chemosensory response kinetics of Rhodobacter sphaeroides under different growth conditions.

Authors:  Mila Kojadinovic; Antoine Sirinelli; George H Wadhams; Judith P Armitage
Journal:  Appl Environ Microbiol       Date:  2011-04-22       Impact factor: 4.792

Review 3.  Live from under the lens: exploring microbial motility with dynamic imaging and microfluidics.

Authors:  Kwangmin Son; Douglas R Brumley; Roman Stocker
Journal:  Nat Rev Microbiol       Date:  2015-12       Impact factor: 60.633

Review 4.  A tale of two machines: a review of the BLAST meeting, Tucson, AZ, 20-24 January 2013.

Authors:  Christine Josenhans; Kirsten Jung; Christopher V Rao; Alan J Wolfe
Journal:  Mol Microbiol       Date:  2013-10-31       Impact factor: 3.501

5.  The Aerotactic Response of Caulobacter crescentus.

Authors:  Michael Morse; Remy Colin; Laurence G Wilson; Jay X Tang
Journal:  Biophys J       Date:  2016-05-10       Impact factor: 4.033

6.  A modular cell culture device for generating arrays of gradients using stacked microfluidic flows.

Authors:  Christopher G Sip; Nirveek Bhattacharjee; Albert Folch
Journal:  Biomicrofluidics       Date:  2011-06-29       Impact factor: 2.800

Review 7.  Microfluidics expanding the frontiers of microbial ecology.

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

Review 8.  Going local: technologies for exploring bacterial microenvironments.

Authors:  Aimee K Wessel; Laura Hmelo; Matthew R Parsek; Marvin Whiteley
Journal:  Nat Rev Microbiol       Date:  2013-05       Impact factor: 60.633

9.  Quantitative analysis of the chemotaxis of a green alga, Chlamydomonas reinhardtii, to bicarbonate using diffusion-based microfluidic device.

Authors:  Hong Il Choi; Jaoon Young Hwan Kim; Ho Seok Kwak; Young Joon Sung; Sang Jun Sim
Journal:  Biomicrofluidics       Date:  2016-02-24       Impact factor: 2.800

10.  Decoding the Chemical Language of Motile Bacteria by Using High-Throughput Microfluidic Assays.

Authors:  John A Crooks; Matthew D Stilwell; Piercen M Oliver; Zhou Zhong; Douglas B Weibel
Journal:  Chembiochem       Date:  2015-09-09       Impact factor: 3.164

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