Feasibility of a workflow for the molecular characterization of single cells by next generation sequencing

Q1 Biochemistry, Genetics and Molecular Biology
Francesca Salvianti , Giada Rotunno , Francesca Galardi , Francesca De Luca , Marta Pestrin , Alessandro Maria Vannucchi , Angelo Di Leo , Mario Pazzagli , Pamela Pinzani
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引用次数: 12

Abstract

The purpose of the study was to explore the feasibility of a protocol for the isolation and molecular characterization of single circulating tumor cells (CTCs) from cancer patients using a single-cell next generation sequencing (NGS) approach.

To reach this goal we used as a model an artificial sample obtained by spiking a breast cancer cell line (MDA-MB-231) into the blood of a healthy donor.

Tumor cells were enriched and enumerated by CellSearch® and subsequently isolated by DEPArray™ to obtain single or pooled pure samples to be submitted to the analysis of the mutational status of multiple genes involved in cancer.

Upon whole genome amplification, samples were analysed by NGS on the Ion Torrent PGM™ system (Life Technologies) using the Ion AmpliSeq™ Cancer Hotspot Panel v2 (Life Technologies), designed to investigate genomic “hot spot” regions of 50 oncogenes and tumor suppressor genes.

We successfully sequenced five single cells, a pool of 5 cells and DNA from a cellular pellet of the same cell line with a mean depth of the sequencing reaction ranging from 1581 to 3479 reads.

We found 27 sequence variants in 18 genes, 15 of which already reported in the COSMIC or dbSNP databases. We confirmed the presence of two somatic mutations, in the BRAF and TP53 gene, which had been already reported for this cells line, but also found new mutations and single nucleotide polymorphisms. Three variants were common to all the analysed samples, while 18 were present only in a single cell suggesting a high heterogeneity within the same cell line.

This paper presents an optimized workflow for the molecular characterization of multiple genes in single cells by NGS. The described pipeline can be easily transferred to the study of single CTCs from oncologic patients.

Abstract Image

Abstract Image

新一代测序技术在单细胞分子表征工作流程中的可行性
本研究的目的是探索一种利用单细胞下一代测序(NGS)方法从癌症患者中分离单个循环肿瘤细胞(ctc)并进行分子表征的方案的可行性。为了达到这一目标,我们使用了一种人工样本作为模型,该样本是通过将乳腺癌细胞系(MDA-MB-231)刺入健康供者的血液中获得的。肿瘤细胞通过CellSearch®富集和枚举,随后通过DEPArray™分离,获得单个或合并的纯样本,用于分析与癌症相关的多个基因的突变状态。全基因组扩增后,样品在Ion Torrent PGM™系统(Life Technologies)上通过NGS分析,使用Ion AmpliSeq™癌症热点面板v2 (Life Technologies),旨在研究50个癌基因和肿瘤抑制基因的基因组“热点”区域。我们成功测序了5个单细胞、5个细胞池和来自同一细胞系的细胞颗粒的DNA,测序反应的平均深度从1581到3479 reads不等。我们在18个基因中发现了27个序列变异,其中15个已经在COSMIC或dbSNP数据库中报道。我们证实了BRAF和TP53基因中两个体细胞突变的存在,这些突变已经在该细胞系中报道过,但也发现了新的突变和单核苷酸多态性。三种变体在所有分析样本中都是常见的,而18种变体仅存在于单个细胞中,这表明在同一细胞系中存在高度异质性。本文提出了一种利用NGS对单细胞中多个基因进行分子表征的优化工作流程。所描述的管道可以很容易地转移到肿瘤患者的单个ctc的研究中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomolecular Detection and Quantification
Biomolecular Detection and Quantification Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.20
自引率
0.00%
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0
审稿时长
8 weeks
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