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Droplet-Based Pyrosequencing Using Digital Microfluidics

delete2011-10-14
delete104
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OA
AI
D
Deborah Boles
J
Jonathan L. Benton
G
Germaine J. Siew
M
Miriam H. Levy
P
Prasanna K. Thwar
M
Melissa Sandahl
J
Jeremy Rouse
L
Lisa C. Perkins
A
Arjun P. Sudarsan
R
Roxana Jalili
V
Vamsee K. Pamula
V
Vijay Srinivasan
R
Richard B. Fair
P
Peter B. Griffin
A
Allen E. Eckhardt
M
Michael Pollack *
DOI:10.1021/ac201416jdelete
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摘要

摘要

En 中文
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.
Keyword:
ELECTROWETTING-BASED ACTUATION
ON-A-CHIP
CLINICAL DIAGNOSTICS
LIQUID DROPLETS
DNA
PYROPHOSPHATE

期刊

Analytical Chemistry 封面图
Analytical Chemistry
IF:
6.7
论文数:
4.7W
被引数:
15.9W

机构

D
Duke University
学者数:
6.3W
论文数: 5.7W
被引数: 6.5W
S
Stanford University
学者数:
9.6W
论文数: 8.2W
被引数: 17.0W
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