Back to Search Start Over

Droplet-Based Pyrosequencing Using Digital Microfluidics

Authors :
Miriam H. Levy
Allen E. Eckhardt
Vamsee K. Pamula
Germaine J. Siew
Roxana Jalili
Deborah J. Boles
Peter B. Griffin
Lisa Perkins
Prasanna Thwar
Michael G. Pollack
Richard B. Fair
Melissa Sandahl
Arjun Sudarsan
Jeremy Rouse
Jonathan L. Benton
Vijay Srinivasan
Source :
Analytical Chemistry. 83:8439-8447
Publication Year :
2011
Publisher :
American Chemical Society (ACS), 2011.

Abstract

The feasibility of implementing pyrosequencing chemistry within droplets using electrowetting-based digital microfluidics is reported. An array of electrodes patterned on a printed-circuit board was used to control the formation, transportation, merging, mixing, and splitting of submicroliter-sized droplets contained within an oil-filled chamber. A three-enzyme pyrosequencing protocol was implemented in which individual droplets contained enzymes, deoxyribonucleotide triphosphates (dNTPs), and DNA templates. The DNA templates were anchored to magnetic beads which enabled them to be thoroughly washed between nucleotide additions. Reagents and protocols were optimized to maximize signal over background, linearity of response, cycle efficiency, and wash efficiency. As an initial demonstration of feasibility, a portion of a 229 bp Candida parapsilosis template was sequenced using both a de novo protocol and a resequencing protocol. The resequencing protocol generated over 60 bp of sequence with 100% sequence accuracy based on raw pyrogram levels. Excellent linearity was observed for all of the homopolymers (two, three, or four nucleotides) contained in the C. parapsilosis sequence. With improvements in microfluidic design it is expected that longer reads, higher throughput, and improved process integration (i.e., "sample-to-sequence" capability) could eventually be achieved using this low-cost platform.

Details

ISSN :
15206882 and 00032700
Volume :
83
Database :
OpenAIRE
Journal :
Analytical Chemistry
Accession number :
edsair.doi.dedup.....ed95d1c348f0ee4bcd1657006402164e