新一代测序技术在单细胞分子表征工作流程中的可行性

Q1 Biochemistry, Genetics and Molecular Biology Biomolecular Detection and Quantification Pub Date : 2015-09-01 DOI:10.1016/j.bdq.2015.07.002
Francesca Salvianti , Giada Rotunno , Francesca Galardi , Francesca De Luca , Marta Pestrin , Alessandro Maria Vannucchi , Angelo Di Leo , Mario Pazzagli , Pamela Pinzani
{"title":"新一代测序技术在单细胞分子表征工作流程中的可行性","authors":"Francesca Salvianti ,&nbsp;Giada Rotunno ,&nbsp;Francesca Galardi ,&nbsp;Francesca De Luca ,&nbsp;Marta Pestrin ,&nbsp;Alessandro Maria Vannucchi ,&nbsp;Angelo Di Leo ,&nbsp;Mario Pazzagli ,&nbsp;Pamela Pinzani","doi":"10.1016/j.bdq.2015.07.002","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><p>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.</p><p>Tumor cells were enriched and enumerated by CellSearch<sup>®</sup> 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.</p><p>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.</p><p>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.</p><p>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 <em>BRAF</em> and <em>TP53</em> 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.</p><p>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.</p></div>","PeriodicalId":38073,"journal":{"name":"Biomolecular Detection and Quantification","volume":"5 ","pages":"Pages 23-29"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bdq.2015.07.002","citationCount":"12","resultStr":"{\"title\":\"Feasibility of a workflow for the molecular characterization of single cells by next generation sequencing\",\"authors\":\"Francesca Salvianti ,&nbsp;Giada Rotunno ,&nbsp;Francesca Galardi ,&nbsp;Francesca De Luca ,&nbsp;Marta Pestrin ,&nbsp;Alessandro Maria Vannucchi ,&nbsp;Angelo Di Leo ,&nbsp;Mario Pazzagli ,&nbsp;Pamela Pinzani\",\"doi\":\"10.1016/j.bdq.2015.07.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p><p>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.</p><p>Tumor cells were enriched and enumerated by CellSearch<sup>®</sup> 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.</p><p>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.</p><p>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.</p><p>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 <em>BRAF</em> and <em>TP53</em> 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.</p><p>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.</p></div>\",\"PeriodicalId\":38073,\"journal\":{\"name\":\"Biomolecular Detection and Quantification\",\"volume\":\"5 \",\"pages\":\"Pages 23-29\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.bdq.2015.07.002\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomolecular Detection and Quantification\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214753515300024\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Biochemistry, Genetics and Molecular Biology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomolecular Detection and Quantification","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214753515300024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Biochemistry, Genetics and Molecular Biology","Score":null,"Total":0}
引用次数: 12

摘要

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。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Feasibility of a workflow for the molecular characterization of single cells by next generation sequencing

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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%
发文量
0
审稿时长
8 weeks
期刊最新文献
Publisher's Note Establishing essential quality criteria for the validation of circular RNAs as biomarkers qPCR data analysis: Better results through iconoclasm Considerations and quality controls when analyzing cell-free tumor DNA Next-generation sequencing of HIV-1 single genome amplicons
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1