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{"title":"Training Novices in Generation and Analysis of High-Dimensional Human Cell Phospho-Flow Cytometry Data.","authors":"Caroline E Roe, Madeline J Hayes, Sierra M Barone, Jonathan M Irish","doi":"10.1002/cpcy.71","DOIUrl":null,"url":null,"abstract":"<p><p>This article presents a single experiment designed to introduce a trainee to multiple advanced bench and analysis techniques, including high-dimensional cytometry, profiling cell signaling networks, functional assays with primary human tissue, and single-cell analysis with machine learning tools. The trainee is expected to have only minimal laboratory experience and is not required to have any prior training in flow cytometry, immunology, or data science. This article aims to introduce the advanced research areas with a design that is robust enough that novice trainees will succeed, flexible enough to allow some project customization, and fundamental enough that the skills and knowledge gained will provide a template for future experiments. For advanced users, the updated phospho-flow protocol and the established controls, best practices, and expected outcomes presented here also provide a framework for adapting these tools in new areas with unexplored biology. © 2020 by John Wiley & Sons, Inc. Basic Protocol: Phospho-protein stimulation and mass cytometry data collection Support Protocol: Analysis of signaling mass cytometry data.</p>","PeriodicalId":11020,"journal":{"name":"Current Protocols in Cytometry","volume":"93 1","pages":"e71"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/cpcy.71","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Protocols in Cytometry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/cpcy.71","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 7
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Abstract
This article presents a single experiment designed to introduce a trainee to multiple advanced bench and analysis techniques, including high-dimensional cytometry, profiling cell signaling networks, functional assays with primary human tissue, and single-cell analysis with machine learning tools. The trainee is expected to have only minimal laboratory experience and is not required to have any prior training in flow cytometry, immunology, or data science. This article aims to introduce the advanced research areas with a design that is robust enough that novice trainees will succeed, flexible enough to allow some project customization, and fundamental enough that the skills and knowledge gained will provide a template for future experiments. For advanced users, the updated phospho-flow protocol and the established controls, best practices, and expected outcomes presented here also provide a framework for adapting these tools in new areas with unexplored biology. © 2020 by John Wiley & Sons, Inc. Basic Protocol: Phospho-protein stimulation and mass cytometry data collection Support Protocol: Analysis of signaling mass cytometry data.
培训新手高维人细胞磷流式细胞术数据的生成和分析。
本文介绍了一个单一的实验,旨在向学员介绍多种先进的实验和分析技术,包括高维细胞术,分析细胞信号网络,原始人体组织的功能分析,以及使用机器学习工具的单细胞分析。受培训者只需要最低限度的实验室经验,不需要在流式细胞术、免疫学或数据科学方面有任何事先的培训。本文旨在介绍先进的研究领域,其设计足够强大,足以让新手学员成功,足够灵活,可以进行一些项目定制,并且足够基本,所获得的技能和知识将为未来的实验提供模板。对于高级用户,更新的磷流协议和建立的控制、最佳实践和预期结果也提供了一个框架,以适应这些工具在新的领域与未开发的生物学。©2020 by John Wiley & Sons, Inc。基本方案:磷酸化蛋白刺激和海量细胞术数据收集支持方案:信号海量细胞术数据分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。