Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics.
Massively parallel whole genome amplification for single-cell sequencing using droplet microfluidics.
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DOI:
10.1038/s41598-017-05436-4
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发表时间:
2017-07-12
影响因子:
4.6
通讯作者:
Takeyama H
中科院分区:
文献类型:
--
作者:
Hosokawa M;Nishikawa Y;Kogawa M;Takeyama H
Massively parallel single-cell genome sequencing is required to further understand genetic diversities in complex biological systems. Whole genome amplification (WGA) is the first step for single-cell sequencing, but its throughput and accuracy are insufficient in conventional reaction platforms. Here, we introduce single droplet multiple displacement amplification (sd-MDA), a method that enables massively parallel amplification of single cell genomes while maintaining sequence accuracy and specificity. Tens of thousands of single cells are compartmentalized in millions of picoliter droplets and then subjected to lysis and WGA by passive droplet fusion in microfluidic channels. Because single cells are isolated in compartments, their genomes are amplified to saturation without contamination. This enables the high-throughput acquisition of contamination-free and cell specific sequence reads from single cells (21,000 single-cells/h), resulting in enhancement of the sequence data quality compared to conventional methods. This method allowed WGA of both single bacterial cells and human cancer cells. The obtained sequencing coverage rivals those of conventional techniques with superior sequence quality. In addition, we also demonstrate de novo assembly of uncultured soil bacteria and obtain draft genomes from single cell sequencing. This sd-MDA is promising for flexible and scalable use in single-cell sequencing.
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影响因子:
4.5
作者:
Marcy, Yann;Ishoey, Thomas;Lasken, Roger S.;Stockwell, Timothy B.;Walenz, Brian P.;Halpern, Aaron L.;Beeson, Karen Y.;Goldberg, Susanne M. D.;Quake, Stephen R.
通讯作者:
Quake, Stephen R.
影响因子:
3.7
作者:
Dichosa, Armand E. K.;Fitzsimons, Michael S.;Han, Cliff S.
通讯作者:
Han, Cliff S.
DOI:
10.1038/nrg3785
发表时间:
2014-09
期刊:
Nature reviews. Genetics
影响因子:
--
作者:
通讯作者:
--
影响因子:
12.3
作者:
Leung ML;Wang Y;Waters J;Navin NE
通讯作者:
Navin NE
影响因子:
12.3
作者:
Navin NE
通讯作者:
Navin NE