Literature DB >> 28580046

Characterization of microfluidic clamps for immobilizing and imaging of Drosophila melanogaster larva's central nervous system.

Reza Ghaemi1, Pouya Rezai2, Fatemeh Rafiei Nejad1, Ponnambalam Ravi Selvaganapathy1.   

Abstract

Drosophila melanogaster is a well-established model organism to understand biological processes and study human diseases at the molecular-genetic level. The central nervous system (CNS) of Drosophila larvae is widely used as a model to study neuron development and network formation. This has been achieved by using various genetic manipulation tools such as microinjection to knock down certain genes or over-express proteins for visualizing the cellular activities. However, visualization of an intact-live neuronal response in larva's Central Nervous System (CNS) is challenging due to robust digging/burrowing behaviour that impedes neuroimaging. To address this problem, dissection is used to isolate and immobilize the CNS from the rest of the body. In order to obtain a true physiological response from the Drosophila CNS, it is important to avoid dissection, while the larva should be kept immobilized. In this paper, a series of microfluidic clamps were investigated for intact immobilization of the larva. As a result, an optimized structure for rapid mechanical immobilization of Drosophila larvae for CNS imaging was determined. The clamping and immobilization processes were characterized by imaging and movement measurement of the CNS through the expression of genetically encoded Calcium sensor GCaMP5 in all sensory and cholinergic interneurons. The optimal structure that included two 3D constrictions inside a narrowed channel considerably reduced the internal CNS capsule movements. It restricts the CNS movement to 10% of the motion from a glued larva and allows motion of only 10 ± 30 μm over 350 s immobilization which was sufficient for CNS imaging. These larva-on-a-chip platforms can be useful for studying CNS responses to sensory cues such as sound, light, chemosensory, tactile, and electric/magnetic fields.

Entities:  

Year:  2017        PMID: 28580046      PMCID: PMC5446281          DOI: 10.1063/1.4984767

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


  27 in total

Review 1.  GAL4 system in Drosophila: a fly geneticist's Swiss army knife.

Authors:  Joseph B Duffy
Journal:  Genesis       Date:  2002 Sep-Oct       Impact factor: 2.487

2.  Drosophila cholinergic neurons and processes visualized with Gal4/UAS-GFP.

Authors:  P M Salvaterra; T Kitamoto
Journal:  Brain Res Gene Expr Patterns       Date:  2001-08

Review 3.  Development of larval motor circuits in Drosophila.

Authors:  Hiroshi Kohsaka; Satoko Okusawa; Yuki Itakura; Akira Fushiki; Akinao Nose
Journal:  Dev Growth Differ       Date:  2012-04       Impact factor: 2.053

4.  A microfabricated array of clamps for immobilizing and imaging C. elegans.

Authors:  S Elizabeth Hulme; Sergey S Shevkoplyas; Javier Apfeld; Walter Fontana; George M Whitesides
Journal:  Lab Chip       Date:  2007-08-16       Impact factor: 6.799

5.  Microfluidic self-assembly of live Drosophila embryos for versatile high-throughput analysis of embryonic morphogenesis.

Authors:  Gabriel T Dagani; Kate Monzo; Jean R Fakhoury; Chung-Chu Chen; John C Sisson; Xiaojing Zhang
Journal:  Biomed Microdevices       Date:  2007-10       Impact factor: 2.838

6.  Microfluidic system with integrated microinjector for automated Drosophila embryo injection.

Authors:  Daniel Delubac; Christopher B Highley; Melissa Witzberger-Krajcovic; Joseph C Ayoob; Emily C Furbee; Jonathan S Minden; Stefan Zappe
Journal:  Lab Chip       Date:  2012-11-21       Impact factor: 6.799

Review 7.  Chemistry and the worm: Caenorhabditis elegans as a platform for integrating chemical and biological research.

Authors:  S Elizabeth Hulme; George M Whitesides
Journal:  Angew Chem Int Ed Engl       Date:  2011-04-15       Impact factor: 15.336

8.  Automated MEMS-based Drosophila embryo injection system for high-throughput RNAi screens.

Authors:  Stefan Zappe; Matthew Fish; Matthew P Scott; Olav Solgaard
Journal:  Lab Chip       Date:  2006-06-08       Impact factor: 6.799

9.  Microfluidic chips for in vivo imaging of cellular responses to neural injury in Drosophila larvae.

Authors:  Mostafa Ghannad-Rezaie; Xing Wang; Bibhudatta Mishra; Catherine Collins; Nikos Chronis
Journal:  PLoS One       Date:  2012-01-23       Impact factor: 3.240

10.  Targeted gene expression as a means of altering cell fates and generating dominant phenotypes.

Authors:  A H Brand; N Perrimon
Journal:  Development       Date:  1993-06       Impact factor: 6.868

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  3 in total

1.  A nanofilter for fluidic devices by pillar-assisted self-assembly microparticles.

Authors:  Tamer AbdelFatah; Mahsa Jalali; Sara Mahshid
Journal:  Biomicrofluidics       Date:  2018-11-19       Impact factor: 2.800

Review 2.  Microfluidics for understanding model organisms.

Authors:  Nolan Frey; Utku M Sönmez; Jonathan Minden; Philip LeDuc
Journal:  Nat Commun       Date:  2022-06-09       Impact factor: 17.694

3.  Microfluidic Device for Microinjection of Caenorhabditis elegans.

Authors:  Reza Ghaemi; Justin Tong; Bhagwati P Gupta; P Ravi Selvaganapathy
Journal:  Micromachines (Basel)       Date:  2020-03-11       Impact factor: 2.891

  3 in total

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