Literature DB >> 23665669

Microfluidic-based electrotaxis for on-demand quantitative analysis of Caenorhabditis elegans' locomotion.

Justin Tong1, Pouya Rezai, Sangeena Salam, P Ravi Selvaganapathy, Bhagwati P Gupta.   

Abstract

The nematode Caenorhabditis elegans is a versatile model organism for biomedical research because of its conservation of disease-related genes and pathways as well as its ease of cultivation. Several C. elegans disease models have been reported, including neurodegenerative disorders such as Parkinson's disease (PD), which involves the degeneration of dopaminergic (DA) neurons (1). Both transgenes and neurotoxic chemicals have been used to induce DA neurodegeneration and consequent movement defects in worms, allowing for investigations into the basis of neurodegeneration and screens for neuroprotective genes and compounds (2,3). Screens in lower eukaryotes like C. elegans provide an efficient and economical means to identify compounds and genes affecting neuronal signaling. Conventional screens are typically performed manually and scored by visual inspection; consequently, they are time-consuming and prone to human errors. Additionally, most focus on cellular level analysis while ignoring locomotion, which is an especially important parameter for movement disorders. We have developed a novel microfluidic screening system (Figure 1) that controls and quantifies C. elegans' locomotion using electric field stimuli inside microchannels. We have shown that a Direct Current (DC) field can robustly induce on-demand locomotion towards the cathode ("electrotaxis") (4). Reversing the field's polarity causes the worm to quickly reverse its direction as well. We have also shown that defects in dopaminergic and other sensory neurons alter the swimming response (5). Therefore, abnormalities in neuronal signaling can be determined using locomotion as a read-out. The movement response can be accurately quantified using a range of parameters such as swimming speed, body bending frequency and reversal time. Our work has revealed that the electrotactic response varies with age. Specifically, young adults respond to a lower range of electric fields and move faster compared to larvae (4). These findings led us to design a new microfluidic device to passively sort worms by age and phenotype (6). We have also tested the response of worms to pulsed DC and Alternating Current (AC) electric fields. Pulsed DC fields of various duty cycles effectively generated electrotaxis in both C. elegans and its cousin C. briggsae (7). In another experiment, symmetrical AC fields with frequencies ranging from 1 Hz to 3 KHz immobilized worms inside the channel (8). Implementation of the electric field in a microfluidic environment enables rapid and automated execution of the electrotaxis assay. This approach promises to facilitate high-throughput genetic and chemical screens for factors affecting neuronal function and viability.

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Year:  2013        PMID: 23665669      PMCID: PMC3670555          DOI: 10.3791/50226

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  12 in total

1.  Dielectrophoresis of Caenorhabditis elegans.

Authors:  Han-Sheng Chuang; David M Raizen; Annesia Lamb; Nooreen Dabbish; Haim H Bau
Journal:  Lab Chip       Date:  2011-01-11       Impact factor: 6.799

2.  Effect of pulse direct current signals on electrotactic movement of nematodes Caenorhabditis elegans and Caenorhabditis briggsae.

Authors:  Pouya Rezai; Sangeena Salam; Ponnambalam Ravi Selvaganapathy; Bhagwati P Gupta
Journal:  Biomicrofluidics       Date:  2011-12-15       Impact factor: 2.800

3.  Familial Parkinson mutant alpha-synuclein causes dopamine neuron dysfunction in transgenic Caenorhabditis elegans.

Authors:  Tomoki Kuwahara; Akihiko Koyama; Keiko Gengyo-Ando; Mayumi Masuda; Hisatomo Kowa; Makoto Tsunoda; Shohei Mitani; Takeshi Iwatsubo
Journal:  J Biol Chem       Date:  2005-10-31       Impact factor: 5.157

4.  A systematic RNAi screen reveals involvement of endocytic pathway in neuronal dysfunction in alpha-synuclein transgenic C. elegans.

Authors:  Tomoki Kuwahara; Akihiko Koyama; Shingo Koyama; Sawako Yoshina; Chang-Hong Ren; Takeo Kato; Shohei Mitani; Takeshi Iwatsubo
Journal:  Hum Mol Genet       Date:  2008-07-09       Impact factor: 6.150

5.  Electrotaxis of Caenorhabditis elegans in a microfluidic environment.

Authors:  Pouya Rezai; Asad Siddiqui; Ponnambalam Ravi Selvaganapathy; Bhagwati P Gupta
Journal:  Lab Chip       Date:  2009-11-13       Impact factor: 6.799

6.  The genetics of Caenorhabditis elegans.

Authors:  S Brenner
Journal:  Genetics       Date:  1974-05       Impact factor: 4.562

7.  Neural circuits mediate electrosensory behavior in Caenorhabditis elegans.

Authors:  Christopher V Gabel; Harrison Gabel; Dmitri Pavlichin; Albert Kao; Damon A Clark; Aravinthan D T Samuel
Journal:  J Neurosci       Date:  2007-07-11       Impact factor: 6.167

8.  Compounds from an unbiased chemical screen reverse both ER-to-Golgi trafficking defects and mitochondrial dysfunction in Parkinson's disease models.

Authors:  Linhui Julie Su; Pavan K Auluck; Tiago Fleming Outeiro; Esti Yeger-Lotem; Joshua A Kritzer; Daniel F Tardiff; Katherine E Strathearn; Fang Liu; Songsong Cao; Shusei Hamamichi; Kathryn J Hill; Kim A Caldwell; George W Bell; Ernest Fraenkel; Antony A Cooper; Guy A Caldwell; J Michael McCaffery; Jean-Christophe Rochet; Susan Lindquist
Journal:  Dis Model Mech       Date:  2009-12-28       Impact factor: 5.758

9.  Running worms: C. elegans self-sorting by electrotaxis.

Authors:  Xavier Manière; Félix Lebois; Ivan Matic; Benoit Ladoux; Jean-Marc Di Meglio; Pascal Hersen
Journal:  PLoS One       Date:  2011-02-04       Impact factor: 3.240

10.  C. elegans model identifies genetic modifiers of alpha-synuclein inclusion formation during aging.

Authors:  Tjakko J van Ham; Karen L Thijssen; Rainer Breitling; Robert M W Hofstra; Ronald H A Plasterk; Ellen A A Nollen
Journal:  PLoS Genet       Date:  2008-03-21       Impact factor: 5.917

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  8 in total

1.  A hybrid microfluidic device for on-demand orientation and multidirectional imaging of C. elegans organs and neurons.

Authors:  Ramtin Ardeshiri; Ben Mulcahy; Mei Zhen; Pouya Rezai
Journal:  Biomicrofluidics       Date:  2016-12-01       Impact factor: 2.800

2.  A microfluidic device to study electrotaxis and dopaminergic system of zebrafish larvae.

Authors:  Amir Reza Peimani; Georg Zoidl; Pouya Rezai
Journal:  Biomicrofluidics       Date:  2018-02-07       Impact factor: 2.800

3.  Cabin1 domain-containing gene picd-1 interacts with pry-1/Axin to regulate multiple processes in Caenorhabditis elegans.

Authors:  Avijit Mallick; Shane K B Taylor; Sakshi Mehta; Bhagwati P Gupta
Journal:  Sci Rep       Date:  2022-07-14       Impact factor: 4.996

4.  Electrotaxis-on-Chip to Quantify Neutrophil Migration Towards Electrochemical Gradients.

Authors:  Maryam Moarefian; Rafael V Davalos; Michael D Burton; Caroline N Jones
Journal:  Front Immunol       Date:  2021-08-06       Impact factor: 8.786

5.  Optimization of Electrical Stimulation for Safe and Effective Guidance of Human Cells.

Authors:  Zhiqiang Zhao; Kan Zhu; Yan Li; Zijie Zhu; Linjie Pan; Tingrui Pan; Richard B Borgens; Min Zhao
Journal:  Bioelectricity       Date:  2020-12-16

Review 6.  Microfluidic Devices in Advanced Caenorhabditis elegans Research.

Authors:  Muniesh Muthaiyan Shanmugam; Tuhin Subhra Santra
Journal:  Molecules       Date:  2016-08-02       Impact factor: 4.411

7.  C. elegans electrotaxis behavior is modulated by heat shock response and unfolded protein response signaling pathways.

Authors:  Shane K B Taylor; Muhammad H Minhas; Justin Tong; P Ravi Selvaganapathy; Ram K Mishra; Bhagwati P Gupta
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

8.  Viability of developmental stages of Schistosoma mansoni quantified with xCELLigence worm real-time motility assay (xWORM).

Authors:  Gabriel Rinaldi; Alex Loukas; Paul J Brindley; Jeff T Irelan; Michael J Smout
Journal:  Int J Parasitol Drugs Drug Resist       Date:  2015-08-06       Impact factor: 4.077

  8 in total

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