Unknown

Dataset Information

0

High-throughput single-cell whole-genome amplification through centrifugal emulsification and eMDA.


ABSTRACT: Single-cell whole-genome sequencing (scWGS) is mainly used to probe intercellular genomic variations, focusing on the copy number variations or alterations and the single-nucleotide variations (SNVs) occurring within single cells. Single-cell whole-genome amplification (scWGA) needs to be applied before scWGS but is challenging due to the low copy number of DNA. Besides, many genomic variations are rare within a population of cells, so the throughput of currently available scWGA methods is far from satisfactory. Here, we integrate a one-step micro-capillary array (MiCA)-based centrifugal droplet generation technique with emulsion multiple displacement amplification (eMDA) and demonstrate a high-throughput scWGA method, MiCA-eMDA. MiCA-eMDA increases the single-run throughput of scWGA to a few dozen, and enables the assessment of copy number variations and alterations at 50-kb resolution. Downstream target enrichment further enables the detection of SNVs with 20% allele drop-out.

SUBMITTER: Fu Y 

PROVIDER: S-EPMC6488574 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

High-throughput single-cell whole-genome amplification through centrifugal emulsification and eMDA.

Fu Yusi Y   Zhang Fangli F   Zhang Xiannian X   Yin Junlong J   Du Meijie M   Jiang Mengcheng M   Liu Lu L   Li Jie J   Huang Yanyi Y   Wang Jianbin J  

Communications biology 20190429


Single-cell whole-genome sequencing (scWGS) is mainly used to probe intercellular genomic variations, focusing on the copy number variations or alterations and the single-nucleotide variations (SNVs) occurring within single cells. Single-cell whole-genome amplification (scWGA) needs to be applied before scWGS but is challenging due to the low copy number of DNA. Besides, many genomic variations are rare within a population of cells, so the throughput of currently available scWGA methods is far f  ...[more]

Similar Datasets

| S-EPMC1560136 | biostudies-literature
| S-EPMC6874760 | biostudies-literature
| S-EPMC10694488 | biostudies-literature
| S-EPMC4138190 | biostudies-literature
| S-EPMC3197606 | biostudies-literature
| S-EPMC5809021 | biostudies-literature
| PRJEB2063 | ENA
| S-EPMC10142246 | biostudies-literature
| S-EPMC4586872 | biostudies-literature
| S-EPMC5313163 | biostudies-literature