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An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing
Published on: May 23, 2018
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SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform
Xiaoying Fan1, Cheng Yang2, Wen Li2,3
1Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
Genome Biology
|July 1, 2021
Summary
A new single-cell whole-genome sequencing (scWGS) method, SMOOTH-seq, effectively detects structural variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) in individual cells, advancing genomic analysis.
Area of Science:
- Genomics
- Molecular Biology
- Cancer Research
Background:
- Detecting structural variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) at the single-cell whole-genome level remains a significant challenge.
- Existing methods lack the resolution and accuracy required for comprehensive single-cell genomic analysis.
Purpose of the Study:
- To develop and evaluate a novel single-cell whole-genome sequencing (scWGS) method for the accurate detection of SVs and ecDNAs.
- To assess the performance of this new method in human cancer cell lines and a colorectal cancer sample.
Main Methods:
- Development of SMOOTH-seq (single-molecule real-time sequencing of long fragments amplified through transposon insertion), a third-generation sequencing platform-based scWGS technique.
- Application of SMOOTH-seq to analyze human cancer cell lines and a colorectal cancer patient sample.
- Evaluation of SMOOTH-seq's capability in detecting copy number variations (CNVs), SVs, and single nucleotide variations (SNVs).
Main Results:
- SMOOTH-seq reliably and effectively detects structural variations (SVs) and extra-chromosomal circular DNAs (ecDNAs) in individual cells.
- The method demonstrates high fidelity with kilobase-long reads, enhancing genomic analysis.
- SMOOTH-seq shows relatively limited accuracy in the detection of copy number variations (CNVs) and single nucleotide variations (SNVs) compared to SVs and ecDNAs.
Conclusions:
- SMOOTH-seq represents a significant advancement in single-cell whole-genome sequencing (scWGS) technology.
- This novel method opens new avenues for studying complex genomic alterations, particularly SVs and ecDNAs, at the single-cell level.
- Further optimization may be needed to improve the accuracy of CNV and SNV detection using SMOOTH-seq.
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