Literature DB >> 28191268

Automated electrotransformation of Escherichia coli on a digital microfluidic platform using bioactivated magnetic beads.

J A Moore1, M Nemat-Gorgani1, A C Madison2, M A Sandahl3, S Punnamaraju3, A E Eckhardt3, M G Pollack3, F Vigneault4, G M Church5, R B Fair2, M A Horowitz6, P B Griffin1.   

Abstract

This paper reports on the use of a digital microfluidic platform to perform multiplex automated genetic engineering (MAGE) cycles on droplets containing Escherichia coli cells. Bioactivated magnetic beads were employed for cell binding, washing, and media exchange in the preparation of electrocompetent cells in the electrowetting-on-dieletric (EWoD) platform. On-cartridge electroporation was used to deliver oligonucleotides into the cells. In addition to the optimization of a magnetic bead-based benchtop protocol for generating and transforming electrocompetent E. coli cells, we report on the implementation of this protocol in a fully automated digital microfluidic platform. Bead-based media exchange and electroporation pulse conditions were optimized on benchtop for transformation frequency to provide initial parameters for microfluidic device trials. Benchtop experiments comparing electrotransformation of free and bead-bound cells are presented. Our results suggest that dielectric shielding intrinsic to bead-bound cells significantly reduces electroporation field exposure efficiency. However, high transformation frequency can be maintained in the presence of magnetic beads through the application of more intense electroporation pulses. As a proof of concept, MAGE cycles were successfully performed on a commercial EWoD cartridge using variations of the optimal magnetic bead-based preparation procedure and pulse conditions determined by the benchtop results. Transformation frequencies up to 22% were achieved on benchtop; this frequency was matched within 1% (21%) by MAGE cycles on the microfluidic device. However, typical frequencies on the device remain lower, averaging 9% with a standard deviation of 9%. The presented results demonstrate the potential of digital microfluidics to perform complex and automated genetic engineering protocols.

Entities:  

Year:  2017        PMID: 28191268      PMCID: PMC5291792          DOI: 10.1063/1.4975391

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


  40 in total

1.  Modeling electroporation in a single cell. I. Effects Of field strength and rest potential.

Authors:  K A DeBruin; W Krassowska
Journal:  Biophys J       Date:  1999-09       Impact factor: 4.033

2.  Droplet-based pyrosequencing using digital microfluidics.

Authors:  Deborah J Boles; Jonathan L Benton; Germaine J Siew; Miriam H Levy; Prasanna K Thwar; Melissa A Sandahl; Jeremy L Rouse; Lisa C Perkins; Arjun P Sudarsan; Roxana Jalili; Vamsee K Pamula; Vijay Srinivasan; Richard B Fair; Peter B Griffin; Allen E Eckhardt; Michael G Pollack
Journal:  Anal Chem       Date:  2011-10-14       Impact factor: 6.986

3.  Model of creation and evolution of stable electropores for DNA delivery.

Authors:  Kyle C Smith; John C Neu; Wanda Krassowska
Journal:  Biophys J       Date:  2004-05       Impact factor: 4.033

Review 4.  Applications of electrowetting-based digital microfluidics in clinical diagnostics.

Authors:  Michael G Pollack; Vamsee K Pamula; Vijay Srinivasan; Allen E Eckhardt
Journal:  Expert Rev Mol Diagn       Date:  2011-05       Impact factor: 5.225

5.  High efficiency transformation of E. coli by high voltage electroporation.

Authors:  W J Dower; J F Miller; C W Ragsdale
Journal:  Nucleic Acids Res       Date:  1988-07-11       Impact factor: 16.971

6.  Precise manipulation of chromosomes in vivo enables genome-wide codon replacement.

Authors:  Farren J Isaacs; Peter A Carr; Harris H Wang; Marc J Lajoie; Bram Sterling; Laurens Kraal; Andrew C Tolonen; Tara A Gianoulis; Daniel B Goodman; Nikos B Reppas; Christopher J Emig; Duhee Bang; Samuel J Hwang; Michael C Jewett; Joseph M Jacobson; George M Church
Journal:  Science       Date:  2011-07-15       Impact factor: 47.728

7.  Growth of E. coli at low temperature dramatically increases the transformation frequency by electroporation.

Authors:  S E Chuang; A L Chen; C C Chao
Journal:  Nucleic Acids Res       Date:  1995-05-11       Impact factor: 16.971

8.  Multiplexed real-time polymerase chain reaction on a digital microfluidic platform.

Authors:  Zhishan Hua; Jeremy L Rouse; Allen E Eckhardt; Vijay Srinivasan; Vamsee K Pamula; Wiley A Schell; Jonathan L Benton; Thomas G Mitchell; Michael G Pollack
Journal:  Anal Chem       Date:  2010-03-15       Impact factor: 6.986

9.  Programming cells by multiplex genome engineering and accelerated evolution.

Authors:  Harris H Wang; Farren J Isaacs; Peter A Carr; Zachary Z Sun; George Xu; Craig R Forest; George M Church
Journal:  Nature       Date:  2009-07-26       Impact factor: 49.962

10.  Enhanced multiplex genome engineering through co-operative oligonucleotide co-selection.

Authors:  Peter A Carr; Harris H Wang; Bram Sterling; Farren J Isaacs; Marc J Lajoie; George Xu; George M Church; Joseph M Jacobson
Journal:  Nucleic Acids Res       Date:  2012-05-25       Impact factor: 16.971

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  4 in total

1.  Recombineering and MAGE.

Authors:  Timothy M Wannier; Peter N Ciaccia; Andrew D Ellington; Gabriel T Filsinger; Farren J Isaacs; Kamyab Javanmardi; Michaela A Jones; Aditya M Kunjapur; Akos Nyerges; Csaba Pal; Max G Schubert; George M Church
Journal:  Nat Rev Methods Primers       Date:  2021-01-14

2.  OpenDrop: An Integrated Do-It-Yourself Platform for Personal Use of Biochips.

Authors:  Mirela Alistar; Urs Gaudenz
Journal:  Bioengineering (Basel)       Date:  2017-05-19

3.  Acoustofluidic medium exchange for preparation of electrocompetent bacteria using channel wall trapping.

Authors:  M S Gerlt; P Ruppen; M Leuthner; S Panke; J Dual
Journal:  Lab Chip       Date:  2021-11-09       Impact factor: 6.799

4.  Scalable and automated CRISPR-based strain engineering using droplet microfluidics.

Authors:  Kosuke Iwai; Maren Wehrs; Megan Garber; Jess Sustarich; Lauren Washburn; Zachary Costello; Peter W Kim; David Ando; William R Gaillard; Nathan J Hillson; Paul D Adams; Aindrila Mukhopadhyay; Hector Garcia Martin; Anup K Singh
Journal:  Microsyst Nanoeng       Date:  2022-03-15       Impact factor: 7.127

  4 in total

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