Literature DB >> 35229457

Automated and Dynamic Control of Chemical Content in Droplets for Scalable Screens of Small Animals.

Guillaume Aubry1, Marija Milisavljevic1, Hang Lu1.   

Abstract

Screening functional phenotypes in small animals is important for genetics and drug discovery. Multiphase microfluidics has great potential for enhancing throughput but has been hampered by inefficient animal encapsulation and limited control over the animal's environment in droplets. Here, a highly efficient single-animal encapsulation unit, a liquid exchanger system for controlling the droplet chemical environment dynamically, and an automation scheme for the programming and robust execution of complex protocols are demonstrated. By careful use of interfacial forces, the liquid exchanger unit allows for adding and removing chemicals from a droplet and, therefore, generating chemical gradients inaccessible in previous multiphase systems. Using Caenorhabditis elegans as an example, it is demonstrated that these advances can serve to analyze dynamic phenotyping, such as behavior and neuronal activity, perform forward genetic screen, and are scalable to manipulate animals of different sizes. This platform paves the way for large-scale screens of complex dynamic phenotypes in small animals.
© 2022 Wiley-VCH GmbH.

Entities:  

Keywords:  droplets; functional phenotyping; high-throughput screening; multiphase microfluidics; small animals

Mesh:

Year:  2022        PMID: 35229457      PMCID: PMC9050880          DOI: 10.1002/smll.202200319

Source DB:  PubMed          Journal:  Small        ISSN: 1613-6810            Impact factor:   15.153


  63 in total

Review 1.  Active droplet generation in microfluidics.

Authors:  Zhuang Zhi Chong; Say Hwa Tan; Alfonso M Gañán-Calvo; Shu Beng Tor; Ngiap Hiang Loh; Nam-Trung Nguyen
Journal:  Lab Chip       Date:  2016-01-07       Impact factor: 6.799

Review 2.  Emerging Droplet Microfluidics.

Authors:  Luoran Shang; Yao Cheng; Yuanjin Zhao
Journal:  Chem Rev       Date:  2017-05-24       Impact factor: 60.622

3.  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

Review 4.  Deep learning tools for the measurement of animal behavior in neuroscience.

Authors:  Mackenzie Weygandt Mathis; Alexander Mathis
Journal:  Curr Opin Neurobiol       Date:  2019-11-29       Impact factor: 6.627

Review 5.  Single-Cell Analysis Using Droplet Microfluidics.

Authors:  Kinga Matuła; Francesca Rivello; Wilhelm T S Huck
Journal:  Adv Biosyst       Date:  2019-11-26

6.  Microfluidic Platform for Analyzing the Thermotaxis of C. elegans in a Linear Temperature Gradient.

Authors:  Sunhee Yoon; Hailing Piao; Tae-Joon Jeon; Sun Min Kim
Journal:  Anal Sci       Date:  2017       Impact factor: 2.081

7.  A small-molecule screen in C. elegans yields a new calcium channel antagonist.

Authors:  Trevor C Y Kwok; Nicole Ricker; Regina Fraser; Allen W Chan; Andrew Burns; Elise F Stanley; Peter McCourt; Sean R Cutler; Peter J Roy
Journal:  Nature       Date:  2006-05-04       Impact factor: 49.962

8.  Automated on-chip rapid microscopy, phenotyping and sorting of C. elegans.

Authors:  Kwanghun Chung; Matthew M Crane; Hang Lu
Journal:  Nat Methods       Date:  2008-06-22       Impact factor: 28.547

Review 9.  Zebrafish as tools for drug discovery.

Authors:  Calum A MacRae; Randall T Peterson
Journal:  Nat Rev Drug Discov       Date:  2015-09-11       Impact factor: 84.694

10.  Large-scale microfluidics providing high-resolution and high-throughput screening of Caenorhabditis elegans poly-glutamine aggregation model.

Authors:  Sudip Mondal; Evan Hegarty; Chris Martin; Sertan Kutal Gökçe; Navid Ghorashian; Adela Ben-Yakar
Journal:  Nat Commun       Date:  2016-10-11       Impact factor: 14.919

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