{"title":"PRG.","authors":"P. Jagtap","doi":"10.1002/9783527678679.dg09917","DOIUrl":null,"url":null,"abstract":"The Proteomics Research Group initiated a study in 2018 to facilitate the adoption of data-independent acquisition (DIA) by providing participants with generic methods and test samples containing a HeLa digest spiked with different levels of four non-endogenous proteins. This resulted in the generation of 49 participant datasets submitted by laboratories across the world (20 countries and 16 states in the U.S.). The files from two laboratories were selected for further analysis using varied library approaches. The data (which will be made available via MassIVE) can be used by software developers or experts evaluating performance with different acquisition settings in addition to DIA newcomers to help them implement the technique in their laboratory.","PeriodicalId":94326,"journal":{"name":"Journal of biomolecular techniques : JBT","volume":"48 1","pages":"S39"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomolecular techniques : JBT","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/9783527678679.dg09917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

蛋白质组学研究小组于2018年启动了一项研究,通过向参与者提供含有不同水平的四种非内源性蛋白质的HeLa消化酶的通用方法和测试样品,促进数据独立采集(DIA)的采用。这产生了来自世界各地(20个国家和美国16个州)的实验室提交的49个参与者数据集。选择来自两个实验室的文件,使用不同的库方法进行进一步分析。这些数据(将通过MassIVE提供)可用于软件开发人员或专家评估不同采集设置的性能,以及DIA新手,以帮助他们在实验室中实施该技术。
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PRG.
The Proteomics Research Group initiated a study in 2018 to facilitate the adoption of data-independent acquisition (DIA) by providing participants with generic methods and test samples containing a HeLa digest spiked with different levels of four non-endogenous proteins. This resulted in the generation of 49 participant datasets submitted by laboratories across the world (20 countries and 16 states in the U.S.). The files from two laboratories were selected for further analysis using varied library approaches. The data (which will be made available via MassIVE) can be used by software developers or experts evaluating performance with different acquisition settings in addition to DIA newcomers to help them implement the technique in their laboratory.
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