Franziska Hoerbst, Melissa Tomkins, Richard J Morris
{"title":"On the overinterpretation of mass screening data - the example of mobile mRNA.","authors":"Franziska Hoerbst, Melissa Tomkins, Richard J Morris","doi":"10.1016/j.tplants.2025.03.011","DOIUrl":null,"url":null,"abstract":"<p><p>The mathematics of mass screening is crucial for understanding results from imperfect detection methods in large datasets. Although this framework is well-established, it is not commonly applied in plant biology. Here, we view the identification of messenger RNAs that travel over long distances in plants (mobile mRNAs) through the lens of mass screening statistics. RNA-Seq analyses have identified thousands of mobile mRNAs. Consideration of the detection accuracy and prevalence, however, cast doubt on these numbers. The presented methodology is relevant to all areas of research where detection tests with less than 100% accuracy are applied to find rare events in large datasets.</p>","PeriodicalId":23264,"journal":{"name":"Trends in Plant Science","volume":" ","pages":""},"PeriodicalIF":17.3000,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Plant Science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.tplants.2025.03.011","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The mathematics of mass screening is crucial for understanding results from imperfect detection methods in large datasets. Although this framework is well-established, it is not commonly applied in plant biology. Here, we view the identification of messenger RNAs that travel over long distances in plants (mobile mRNAs) through the lens of mass screening statistics. RNA-Seq analyses have identified thousands of mobile mRNAs. Consideration of the detection accuracy and prevalence, however, cast doubt on these numbers. The presented methodology is relevant to all areas of research where detection tests with less than 100% accuracy are applied to find rare events in large datasets.
期刊介绍:
Trends in Plant Science is the primary monthly review journal in plant science, encompassing a wide range from molecular biology to ecology. It offers concise and accessible reviews and opinions on fundamental plant science topics, providing quick insights into current thinking and developments in plant biology. Geared towards researchers, students, and teachers, the articles are authoritative, authored by both established leaders in the field and emerging talents.