Rapid Analysis of Nucleic Acids by Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry With a Data Algorithm

IF 1.8 3区 化学 Q4 BIOCHEMICAL RESEARCH METHODS
Zhen Xu, Baolin Xiong, Wenbo Cheng, Bin Hu, Yuguo Tang
{"title":"Rapid Analysis of Nucleic Acids by Matrix-Assisted Laser Desorption Ionization Time-Of-Flight Mass Spectrometry With a Data Algorithm","authors":"Zhen Xu,&nbsp;Baolin Xiong,&nbsp;Wenbo Cheng,&nbsp;Bin Hu,&nbsp;Yuguo Tang","doi":"10.1002/rcm.9981","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Rationale</h3>\n \n <p>Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is a powerful method for identifying viruses via nucleic acid detection. The data processing method is critical in recognizing nucleic acid obtained by MALDI-TOF-MS. Therefore, new development of data algorithm is needed for virus identification.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>In this work, we developed a new data processing algorithm of MALDI-TOF-MS to identify respiratory viruses and deafness gene mutation sites. The algorithm includes denoising, baseline correcting, peak identification, and extraction features for processing the MS spectrum.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Standard nucleic acid and respiratory virus samples were used to evaluate the performances of the newly developed algorithms. The errors of peak detection were found to be less than 200 ppm. Excellent sensitivity (91.67%–100%) and specificity (96.88–100%) were obtained by identifying 305 virus samples in this work, showing excellent performances. Additionally, accurate identification of the mutation sites of deafness genes was also obtained by the presented method.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Overall, our data showed that this method is accurate, sensitive, and specific for nucleic acid identification, showing the potential applications for qualitative analysis of respiratory viruses and deafness gene mutation screening.</p>\n </section>\n </div>","PeriodicalId":225,"journal":{"name":"Rapid Communications in Mass Spectrometry","volume":"39 6","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rapid Communications in Mass Spectrometry","FirstCategoryId":"92","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcm.9981","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

Rationale

Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is a powerful method for identifying viruses via nucleic acid detection. The data processing method is critical in recognizing nucleic acid obtained by MALDI-TOF-MS. Therefore, new development of data algorithm is needed for virus identification.

Methods

In this work, we developed a new data processing algorithm of MALDI-TOF-MS to identify respiratory viruses and deafness gene mutation sites. The algorithm includes denoising, baseline correcting, peak identification, and extraction features for processing the MS spectrum.

Results

Standard nucleic acid and respiratory virus samples were used to evaluate the performances of the newly developed algorithms. The errors of peak detection were found to be less than 200 ppm. Excellent sensitivity (91.67%–100%) and specificity (96.88–100%) were obtained by identifying 305 virus samples in this work, showing excellent performances. Additionally, accurate identification of the mutation sites of deafness genes was also obtained by the presented method.

Conclusions

Overall, our data showed that this method is accurate, sensitive, and specific for nucleic acid identification, showing the potential applications for qualitative analysis of respiratory viruses and deafness gene mutation screening.

基于数据算法的基质辅助激光解吸电离飞行时间质谱快速分析核酸。
原理:基质辅助激光解吸电离飞行时间质谱法(MALDI-TOF-MS)是一种通过核酸检测鉴定病毒的有力方法。数据处理方法对MALDI-TOF-MS获得的核酸进行识别至关重要。因此,病毒识别需要新的数据算法的发展。方法:本文建立了一种新的MALDI-TOF-MS数据处理算法,用于识别呼吸道病毒和耳聋基因突变位点。该算法包括去噪、基线校正、峰识别和提取特征来处理质谱。结果:采用标准核酸和呼吸道病毒样本对新算法的性能进行评价。峰检测误差小于200ppm。通过对305份病毒样本的鉴定,获得了优异的灵敏度(91.67% ~ 100%)和特异性(96.88 ~ 100%),表现出优异的性能。此外,该方法还可以准确地识别耳聋基因的突变位点。结论:总的来说,我们的数据表明,该方法准确、敏感、特异性强,在呼吸道病毒的定性分析和耳聋基因突变筛选方面具有潜在的应用前景。
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 求助全文
来源期刊
CiteScore
4.10
自引率
5.00%
发文量
219
审稿时长
2.6 months
期刊介绍: Rapid Communications in Mass Spectrometry is a journal whose aim is the rapid publication of original research results and ideas on all aspects of the science of gas-phase ions; it covers all the associated scientific disciplines. There is no formal limit on paper length ("rapid" is not synonymous with "brief"), but papers should be of a length that is commensurate with the importance and complexity of the results being reported. Contributions may be theoretical or practical in nature; they may deal with methods, techniques and applications, or with the interpretation of results; they may cover any area in science that depends directly on measurements made upon gaseous ions or that is associated with such measurements.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信