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Parallel enzymatic DNA synthesis using a semiconductor chip

delete2026-06-17
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PRE
AI
W
Woo‐Bin Jung *
H
Han Sae Jung
J
Jun Wang
H
Henry Hinton
S
Seok Joo Kim
Y
Yuchang Zhang
S
Suyue Chen
Y
Young‐Ha Hwang
M
Maxime Fournier
M
Manon Boul
K
Kevin Grosselin
A
Adrian Horgan
X
Xavier Godron
R
Robert Nicol
D
Donhee Ham *
DOI:10.1038/s41928-026-01662-9delete
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Abstract

Abstract

En 中文
Parallelized DNA synthesis across a dense array of sites is crucial to high-throughput synthetic biology and diagnostics and could potentially be used for DNA-based data storage. Phosphoramidite synthesis can achieve substantial parallelism but relies on harmful solvents and centralized facilities. Enzymatic DNA synthesis in mild aqueous solution is safer and could be more accessible, but parallel demonstrations remain modest at an early stage. Here we show that a complementary metal–oxide–semiconductor chip can be used to perform parallel enzymatic DNA synthesis of up to 64 distinct 38–39-nucleotide sequences (10–11-nucleotide feature sequences). The chip controls an array of 256 ring-electrode pairs (each one a programmable synthesis site) that can create an arbitrary pattern of localized acidity to enable DNA deprotection and subsequent enzymatic nucleotide incorporation. We also illustrate the potential of this parallel synthesis for data storage by encoding a 169-byte text. Our mechanistic analysis shows that shifting from an indirect to a direct local-acid chemistry route could lead to higher-throughput enzymatic synthesis that can scale with the complementary metal–oxide–semiconductor chip. An array of 256 ring-electrode pairs fabricated on a complementary metal–oxide–semiconductor integrated circuit that can control local acidity and induce parallel enzymatic DNA synthesis can be used to encode a 169-byte text using DNA as a data storage medium.

Journal

Nature Electronics cover
Nature Electronics
IF:
40.9
Papers:
1.7K
Citations:
2.1W

Organization

H
Harvard University
Scholars:
26.5W
Papers: 22.0W
Citations: 28.7W
B
Broad Institute of MIT and Harvard
Scholars:
1.2K
Papers: 338
Citations: 0
D
dna script
Scholars:
6
Papers: 1
Citations: 0
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