Literature DB >> 36261631

A microfluidic Braille valve platform for on-demand production, combinatorial screening and sorting of chemically distinct droplets.

Ramesh Utharala1, Anna Grab1,2, Vida Vafaizadeh1,3, Nicolas Peschke1, Martine Ballinger1,4, Denes Turei1,5, Nadine Tuechler1, Wenwei Ma1, Olga Ivanova5, Alejandro Gil Ortiz1, Julio Saez-Rodriguez5,6, Christoph A Merten7.   

Abstract

Droplet microfluidics is a powerful tool for a variety of biological applications including single-cell genetics, antibody discovery and directed evolution. All these applications make use of genetic libraries, illustrating the difficulty of generating chemically distinct droplets for screening applications. This protocol describes our Braille Display valving platform for on-demand generation of droplets with different chemical contents (16 different reagents and combinations thereof), as well as sorting droplets with different chemical properties, on the basis of fluorescence signals. The Braille Display platform is compact, versatile and cost efficient (only ~US$1,000 on top of a standard droplet microfluidics setup). The procedure includes manufacturing of microfluidic chips, assembly of custom hardware, co-encapsulation of cells and drugs into droplets, fluorescence detection of readout signals and data analysis using shared, freely available LabVIEW and Python packages. As a first application, we demonstrate the complete workflow for screening cancer cell drug sensitivities toward 74 conditions. Furthermore, we describe here an assay enabling the normalization of the observed drug sensitivity to the number of cancer cells per droplet, which additionally increases the robustness of the system. As a second application, we also demonstrate the sorting of droplets according to enzymatic activity. The drug screening application can be completed within 2 d; droplet sorting takes ~1 d; and all preparatory steps for manufacturing molds, chips and setting up the Braille controller can be accomplished within 1 week.
© 2022. Springer Nature Limited.

Entities:  

Year:  2022        PMID: 36261631     DOI: 10.1038/s41596-022-00740-4

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   17.021


  66 in total

1.  High-resolution dose-response screening using droplet-based microfluidics.

Authors:  Oliver J Miller; Abdeslam El Harrak; Thomas Mangeat; Jean-Christophe Baret; Lucas Frenz; Bachir El Debs; Estelle Mayot; Michael L Samuels; Eamonn K Rooney; Pierre Dieu; Martin Galvan; Darren R Link; Andrew D Griffiths
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

2.  Functional single-cell hybridoma screening using droplet-based microfluidics.

Authors:  Bachir El Debs; Ramesh Utharala; Irina V Balyasnikova; Andrew D Griffiths; Christoph A Merten
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

3.  An automated two-phase microfluidic system for kinetic analyses and the screening of compound libraries.

Authors:  Jenifer Clausell-Tormos; Andrew D Griffiths; Christoph A Merten
Journal:  Lab Chip       Date:  2010-03-03       Impact factor: 6.799

Review 4.  Droplet-based microfluidics: enabling impact on drug discovery.

Authors:  Oliver J Dressler; Richard M Maceiczyk; Soo-Ik Chang; Andrew J deMello
Journal:  J Biomol Screen       Date:  2013-11-15

5.  Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.

Authors:  Allon M Klein; Linas Mazutis; Ilke Akartuna; Naren Tallapragada; Adrian Veres; Victor Li; Leonid Peshkin; David A Weitz; Marc W Kirschner
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

6.  Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

Authors:  Evan Z Macosko; Anindita Basu; Rahul Satija; James Nemesh; Karthik Shekhar; Melissa Goldman; Itay Tirosh; Allison R Bialas; Nolan Kamitaki; Emily M Martersteck; John J Trombetta; David A Weitz; Joshua R Sanes; Alex K Shalek; Aviv Regev; Steven A McCarroll
Journal:  Cell       Date:  2015-05-21       Impact factor: 41.582

7.  Microfluidic platform for on-demand generation of spatially indexed combinatorial droplets.

Authors:  Helena Zec; Tushar D Rane; Tza-Huei Wang
Journal:  Lab Chip       Date:  2012-07-19       Impact factor: 6.799

8.  Quantifying phenotypes in single cells using droplet microfluidics.

Authors:  Fengjiao Lyu; Lucas R Blauch; Sindy K Y Tang
Journal:  Methods Cell Biol       Date:  2018-10-25       Impact factor: 1.441

9.  Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics.

Authors:  Marlon Stoeckius; Shiwei Zheng; Brian Houck-Loomis; Stephanie Hao; Bertrand Z Yeung; William M Mauck; Peter Smibert; Rahul Satija
Journal:  Genome Biol       Date:  2018-12-19       Impact factor: 13.583

10.  A microfluidics platform for combinatorial drug screening on cancer biopsies.

Authors:  Federica Eduati; Ramesh Utharala; Dharanija Madhavan; Ulf Peter Neumann; Thomas Longerich; Thorsten Cramer; Julio Saez-Rodriguez; Christoph A Merten
Journal:  Nat Commun       Date:  2018-06-22       Impact factor: 14.919

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