Literature DB >> 25759756

An integrated platform enabling optogenetic illumination of Caenorhabditis elegans neurons and muscular force measurement in microstructured environments.

Zhichang Qiu1, Long Tu1, Liang Huang1, Taoyuanmin Zhu1, Volker Nock2, Enchao Yu3, Xiao Liu3, Wenhui Wang1.   

Abstract

Optogenetics has been recently applied to manipulate the neural circuits of Caenorhabditis elegans (C. elegans) to investigate its mechanosensation and locomotive behavior, which is a fundamental topic in model biology. In most neuron-related research, free C. elegans moves on an open area such as agar surface. However, this simple environment is different from the soil, in which C. elegans naturally dwells. To bridge up the gap, this paper presents integration of optogenetic illumination of C. elegans neural circuits and muscular force measurement in a structured microfluidic chip mimicking the C. elegans soil habitat. The microfluidic chip is essentially a ∼1 × 1 cm(2) elastomeric polydimethylsiloxane micro-pillar array, configured in either form of lattice (LC) or honeycomb (HC) to mimic the environment in which the worm dwells. The integrated system has four key modules for illumination pattern generation, pattern projection, automatic tracking of the worm, and force measurement. Specifically, two optical pathways co-exist in an inverted microscope, including built-in bright-field illumination for worm tracking and pattern generation, and added-in optogenetic illumination for pattern projection onto the worm body segment. The behavior of a freely moving worm in the chip under optogenetic manipulation can be recorded for off-line force measurements. Using wild-type N2 C. elegans, we demonstrated optical illumination of C. elegans neurons by projecting light onto its head/tail segment at 14 Hz refresh frequency. We also measured the force and observed three representative locomotion patterns of forward movement, reversal, and omega turn for LC and HC configurations. Being capable of stimulating or inhibiting worm neurons and simultaneously measuring the thrust force, this enabling platform would offer new insights into the correlation between neurons and locomotive behaviors of the nematode under a complex environment.

Entities:  

Year:  2015        PMID: 25759756      PMCID: PMC4336256          DOI: 10.1063/1.4908595

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


  49 in total

1.  Passive optical separation and enrichment of cells by size difference.

Authors:  Siew-Kit Hoi; Vuong Hoang Kim; Nguyen Manh Huy; Chorng-Haur Sow; Yueh-Sheng Ow; Andrew A Bettiol
Journal:  Biomicrofluidics       Date:  2010-12-06       Impact factor: 2.800

2.  Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans.

Authors:  A Fire; S Xu; M K Montgomery; S A Kostas; S E Driver; C C Mello
Journal:  Nature       Date:  1998-02-19       Impact factor: 49.962

3.  Brain-wide 3D imaging of neuronal activity in Caenorhabditis elegans with sculpted light.

Authors:  Tina Schrödel; Robert Prevedel; Karin Aumayr; Manuel Zimmer; Alipasha Vaziri
Journal:  Nat Methods       Date:  2013-09-08       Impact factor: 28.547

Review 4.  Microfluidics-enabled phenotyping, imaging, and screening of multicellular organisms.

Authors:  Matthew M Crane; Kwanghun Chung; Jeffrey Stirman; Hang Lu
Journal:  Lab Chip       Date:  2010-04-09       Impact factor: 6.799

5.  The neural circuit for touch sensitivity in Caenorhabditis elegans.

Authors:  M Chalfie; J E Sulston; J G White; E Southgate; J N Thomson; S Brenner
Journal:  J Neurosci       Date:  1985-04       Impact factor: 6.167

6.  Durable spatiotemporal surveillance of Caenorhabditis elegans response to environmental cues.

Authors:  Ronen B Kopito; Erel Levine
Journal:  Lab Chip       Date:  2014-02-21       Impact factor: 6.799

7.  Optical interrogation of neural circuits in Caenorhabditis elegans.

Authors:  Zengcai V Guo; Anne C Hart; Sharad Ramanathan
Journal:  Nat Methods       Date:  2009-11-08       Impact factor: 28.547

8.  Real-time multimodal optical control of neurons and muscles in freely behaving Caenorhabditis elegans.

Authors:  Jeffrey N Stirman; Matthew M Crane; Steven J Husson; Sebastian Wabnig; Christian Schultheis; Alexander Gottschalk; Hang Lu
Journal:  Nat Methods       Date:  2011-01-16       Impact factor: 28.547

9.  Dimensionality and dynamics in the behavior of C. elegans.

Authors:  Greg J Stephens; Bethany Johnson-Kerner; William Bialek; William S Ryu
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

10.  A novel molecular solution for ultraviolet light detection in Caenorhabditis elegans.

Authors:  Stacey L Edwards; Nicole K Charlie; Marie C Milfort; Brandon S Brown; Christen N Gravlin; Jamie E Knecht; Kenneth G Miller
Journal:  PLoS Biol       Date:  2008-08-05       Impact factor: 8.029

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  5 in total

1.  NemaFlex: a microfluidics-based technology for standardized measurement of muscular strength of C. elegans.

Authors:  Mizanur Rahman; Jennifer E Hewitt; Frank Van-Bussel; Hunter Edwards; Jerzy Blawzdziewicz; Nathaniel J Szewczyk; Monica Driscoll; Siva A Vanapalli
Journal:  Lab Chip       Date:  2018-07-24       Impact factor: 6.799

2.  An economical and highly adaptable optogenetics system for individual and population-level manipulation of Caenorhabditis elegans.

Authors:  M Koopman; L Janssen; E A A Nollen
Journal:  BMC Biol       Date:  2021-08-24       Impact factor: 7.431

Review 3.  Microfluidic Approaches for Manipulating, Imaging, and Screening C. elegans.

Authors:  Bhagwati P Gupta; Pouya Rezai
Journal:  Micromachines (Basel)       Date:  2016-07-19       Impact factor: 2.891

4.  Muscle strength deficiency and mitochondrial dysfunction in a muscular dystrophy model of Caenorhabditis elegans and its functional response to drugs.

Authors:  Jennifer E Hewitt; Amelia K Pollard; Leila Lesanpezeshki; Colleen S Deane; Christopher J Gaffney; Timothy Etheridge; Nathaniel J Szewczyk; Siva A Vanapalli
Journal:  Dis Model Mech       Date:  2018-12-04       Impact factor: 5.758

Review 5.  Platforms for High-Throughput Screening and Force Measurements on Fungi and Oomycetes.

Authors:  Yiling Sun; Ayelen Tayagui; Sarah Sale; Debolina Sarkar; Volker Nock; Ashley Garrill
Journal:  Micromachines (Basel)       Date:  2021-05-30       Impact factor: 2.891

  5 in total

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