Literature DB >> 27917249

Perspectives in flow-based microfluidic gradient generators for characterizing bacterial chemotaxis.

Christopher J Wolfram1, Gary W Rubloff1, Xiaolong Luo2.   

Abstract

Chemotaxis is a phenomenon which enables cells to sense concentrations of certain chemical species in their microenvironment and move towards chemically favorable regions. Recent advances in microbiology have engineered the chemotactic properties of bacteria to perform novel functions, but traditional methods of characterizing chemotaxis do not fully capture the associated cell motion, making it difficult to infer mechanisms that link the motion to the microbiology which induces it. Microfluidics offers a potential solution in the form of gradient generators. Many of the gradient generators studied to date for this application are flow-based, where a chemical species diffuses across the laminar flow interface between two solutions moving through a microchannel. Despite significant research efforts, flow-based gradient generators have achieved mixed success at accurately capturing the highly subtle chemotactic responses exhibited by bacteria. Here we present an analysis encompassing previously published versions of flow-based gradient generators, the theories that govern their gradient-generating properties, and new, more practical considerations that result from experimental factors. We conclude that flow-based gradient generators present a challenge inherent to their design in that the residence time and gradient decay must be finely balanced, and that this significantly narrows the window for reliable observation and quantification of chemotactic motion. This challenge is compounded by the effects of shear on an ellipsoidal bacterium that causes it to preferentially align with the direction of flow and subsequently suppresses the cross-flow chemotactic response. These problems suggest that a static, non-flowing gradient generator may be a more suitable platform for chemotaxis studies in the long run, despite posing greater difficulties in design and fabrication.

Year:  2016        PMID: 27917249      PMCID: PMC5106431          DOI: 10.1063/1.4967777

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  37 in total

1.  Modelling run-and-tumble chemotaxis in a shear flow.

Authors:  R N Bearon; T J Pedley
Journal:  Bull Math Biol       Date:  2000-07       Impact factor: 1.758

2.  A sensitive, versatile microfluidic assay for bacterial chemotaxis.

Authors:  Hanbin Mao; Paul S Cremer; Michael D Manson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-18       Impact factor: 11.205

Review 3.  Nanofabricated structures and microfluidic devices for bacteria: from techniques to biology.

Authors:  Fabai Wu; Cees Dekker
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Review 4.  Recent developments in microfluidics-based chemotaxis studies.

Authors:  Jiandong Wu; Xun Wu; Francis Lin
Journal:  Lab Chip       Date:  2013-05-28       Impact factor: 6.799

5.  Quantitative analysis of chemotaxis towards toluene by Pseudomonas putida in a convection-free microfluidic device.

Authors:  Xiaopu Wang; Javier Atencia; Roseanne M Ford
Journal:  Biotechnol Bioeng       Date:  2015-03-09       Impact factor: 4.530

6.  Bacterial chemotaxis in linear and nonlinear steady microfluidic gradients.

Authors:  Tanvir Ahmed; Thomas S Shimizu; Roman Stocker
Journal:  Nano Lett       Date:  2010-09-08       Impact factor: 11.189

7.  A three-channel microfluidic device for generating static linear gradients and its application to the quantitative analysis of bacterial chemotaxis.

Authors:  Jinpian Diao; Lincoln Young; Sue Kim; Elizabeth A Fogarty; Steven M Heilman; Peng Zhou; Michael L Shuler; Mingming Wu; Matthew P DeLisa
Journal:  Lab Chip       Date:  2005-12-13       Impact factor: 6.799

8.  Accumulation of microswimmers near a surface mediated by collision and rotational Brownian motion.

Authors:  Guanglai Li; Jay X Tang
Journal:  Phys Rev Lett       Date:  2009-08-12       Impact factor: 9.161

9.  Quantitative analysis of single bacterial chemotaxis using a linear concentration gradient microchannel.

Authors:  Hojeong Jeon; Yongku Lee; Songwan Jin; Sangmo Koo; Chang-Soo Lee; Jung Yul Yoo
Journal:  Biomed Microdevices       Date:  2009-06-23       Impact factor: 2.838

10.  Dependence of bacterial chemotaxis on gradient shape and adaptation rate.

Authors:  Nikita Vladimirov; Linda Løvdok; Dirk Lebiedz; Victor Sourjik
Journal:  PLoS Comput Biol       Date:  2008-12-19       Impact factor: 4.475

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  3 in total

1.  The dialogue between protozoa and bacteria in a microfluidic device.

Authors:  Anna Gaines; Miranda Ludovice; Jie Xu; Marc Zanghi; Richard J Meinersmann; Mark Berrang; Wayne Daley; Doug Britton
Journal:  PLoS One       Date:  2019-10-09       Impact factor: 3.240

2.  Tuning the porosity of biofabricated chitosan membranes in microfluidics with co-assembled nanoparticles as templates.

Authors:  Khanh L Ly; Christopher B Raub; Xiaolong Luo
Journal:  Mater Adv       Date:  2020-03-11

3.  Phototaxis in Cyanobacteria: From Mutants to Models of Collective Behavior.

Authors:  Shakti N Menon; P Varuni; Freddy Bunbury; Devaki Bhaya; Gautam I Menon
Journal:  mBio       Date:  2021-11-23       Impact factor: 7.867

  3 in total

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