Evaluation of microbial qPCR workflows using engineered Saccharomyces cerevisiae

Q1 Biochemistry, Genetics and Molecular Biology Biomolecular Detection and Quantification Pub Date : 2016-03-01 DOI:10.1016/j.bdq.2016.01.001
S.M. Da Silva , L.K. Vang , N.D. Olson , S.P. Lund , A.S. Downey , Z. Kelman , M.L. Salit , N.J. Lin , J.B. Morrow
{"title":"Evaluation of microbial qPCR workflows using engineered Saccharomyces cerevisiae","authors":"S.M. Da Silva ,&nbsp;L.K. Vang ,&nbsp;N.D. Olson ,&nbsp;S.P. Lund ,&nbsp;A.S. Downey ,&nbsp;Z. Kelman ,&nbsp;M.L. Salit ,&nbsp;N.J. Lin ,&nbsp;J.B. Morrow","doi":"10.1016/j.bdq.2016.01.001","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><p>We describe the development and interlaboratory study of modified <em>Saccharomyces cerevisiae</em> as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR).</p></div><div><h3>Methods and results</h3><p><em>S. cerevisiae</em> NE095 was prepared by stable insertion of DNA sequence External RNA Control Consortium-00095 into <em>S. cerevisiae</em> BY4739 to convey selectivity. For the interlaboratory study, a binomial regression model was used to select three cell concentrations, high (4<!--> <!-->×<!--> <!-->10<sup>7</sup> <!-->cells<!--> <!-->ml<sup>−1</sup>), intermediate (4<!--> <!-->×<!--> <!-->10<sup>5</sup> <!-->cells<!--> <!-->ml<sup>−1</sup>) and low (4<!--> <!-->×<!--> <!-->10<sup>3</sup> <!-->cells<!--> <!-->ml<sup>−1</sup>), and the number of samples per concentration. Seven participants, including potential end users, had combined rates of positive qPCR detection (quantification cycle &lt;37) of 100%, 40%, and 0% for high, intermediate, and low concentrations, respectively.</p></div><div><h3>Conclusions</h3><p>The NE095 strain was successfully detected by all participants, with the high concentration indicating a potential target concentration for a reference material.</p></div><div><h3>Significance and impact of the study</h3><p>The engineered yeast has potential to support measurement assurance for the analytical process of qPCR, encompassing the method, equipment, and operator, to increase confidence in results and better inform decision-making in areas of applied microbiology. This material can also support process assessment for other DNA-based detection technologies.</p></div>","PeriodicalId":38073,"journal":{"name":"Biomolecular Detection and Quantification","volume":"7 ","pages":"Pages 27-33"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.bdq.2016.01.001","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomolecular Detection and Quantification","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214753516300018","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: 3

Abstract

Aims

We describe the development and interlaboratory study of modified Saccharomyces cerevisiae as a candidate material to evaluate a full detection workflow including DNA extraction and quantitative polymerase chain reaction (qPCR).

Methods and results

S. cerevisiae NE095 was prepared by stable insertion of DNA sequence External RNA Control Consortium-00095 into S. cerevisiae BY4739 to convey selectivity. For the interlaboratory study, a binomial regression model was used to select three cell concentrations, high (4 × 107 cells ml−1), intermediate (4 × 105 cells ml−1) and low (4 × 103 cells ml−1), and the number of samples per concentration. Seven participants, including potential end users, had combined rates of positive qPCR detection (quantification cycle <37) of 100%, 40%, and 0% for high, intermediate, and low concentrations, respectively.

Conclusions

The NE095 strain was successfully detected by all participants, with the high concentration indicating a potential target concentration for a reference material.

Significance and impact of the study

The engineered yeast has potential to support measurement assurance for the analytical process of qPCR, encompassing the method, equipment, and operator, to increase confidence in results and better inform decision-making in areas of applied microbiology. This material can also support process assessment for other DNA-based detection technologies.

Abstract Image

Abstract Image

Abstract Image

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
利用工程酿酒酵母评价微生物qPCR工作流程
我们描述了修饰酿酒酵母的发展和实验室间研究,作为评估完整检测工作流程的候选材料,包括DNA提取和定量聚合酶链反应(qPCR)。方法与结果。将DNA序列External RNA Control Consortium-00095稳定插入酿酒酵母BY4739中以传递选择性,制备出酿酒酵母NE095。对于实验室间研究,使用二项回归模型选择三种细胞浓度,高(4 × 107细胞ml - 1),中等(4 × 105细胞ml - 1)和低(4 × 103细胞ml - 1),以及每个浓度的样品数量。7名参与者,包括潜在的最终用户,在高、中、低浓度下qPCR检测阳性率分别为100%、40%和0%(定量周期为37)。结论NE095菌株被所有参与者成功检出,该菌株的浓度较高,可能是标准物质的目标浓度。研究的意义和影响工程酵母有潜力支持qPCR分析过程的测量保证,包括方法、设备和操作人员,以增加对结果的信心,并更好地为应用微生物学领域的决策提供信息。该材料还可以支持其他基于dna的检测技术的工艺评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 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