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用于单细胞化学生物学的多重细胞计数法。

Multiplexed cytometry for single cell chemical biology.

作者信息

Schares Henry A M, Hayes Madeline J, Balsamo Joseph A, Thirman Hannah L, Bachmann Brian O, Irish Jonathan M

机构信息

Department of Chemistry, Vanderbilt University, Nashville, TN, United States; Vanderbilt Institute of Chemical Biology, Nashville, TN, United States; Vanderbilt Chemical and Physical Biology Program, Vanderbilt University, Nashville, TN, United States.

Department of Cell and Developmental Biology, Vanderbilt University, Nashville, TN, United States; Department of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, United States.

出版信息

Methods Cell Biol. 2025;195:143-172. doi: 10.1016/bs.mcb.2023.03.007. Epub 2023 Jul 14.

Abstract

Flow cytometry has great potential for screening in translational research areas due to its deep quantification of cellular features, ability to collect millions of cells in minutes, and consistently expanding suite of validated antibodies that detect cell identity and functions. However, cytometry remains under-utilized in discovery chemical biology due to the differences in expertise between chemistry groups developing chemical libraries and cell biologists developing single cell assays. This chapter is designed to bridge this gap by providing a detailed protocol aimed at both chemistry and biology audiences with the goal of helping train novice researchers. Assay users select from three elements: a small molecule input, a target cell type, and a module of cytometry readouts. For each, we explore basic and advanced examples of inputs, including screening fractionated microbial extracts and pure compounds, and target cells, including primary human blood cells, mouse cells, and cancer cell lines. One such module of cytometry readouts focuses on cell function and measures DNA damage response (γH2AX), growth (phosphorylated S6), DNA content, apoptosis (cleaved Caspase3), cell cycle M phase (phosphorylated Histone H3), and viability (membrane permeabilization). The protocol can also be adapted to measure different functional readouts, such as cell identity or differentiation and contrasting cell injury mechanisms. The protocol is designed to be used in 96-well plate format with fluorescent cell barcoding and the debarcodeR algorithm. Ultimately, the goal is to encourage the next generation of chemical biologists to use functional cell-based cytometry assays in discovery and translational research.

摘要

由于流式细胞术能够深度量化细胞特征、在数分钟内收集数百万个细胞,并且用于检测细胞身份和功能的经过验证的抗体套件不断扩充,因此在转化研究领域具有巨大的筛选潜力。然而,由于开发化学文库的化学团队与开发单细胞检测方法的细胞生物学家在专业知识上存在差异,流式细胞术在发现化学生物学中的应用仍然不足。本章旨在通过提供一份详细的方案来弥合这一差距,该方案面向化学和生物学领域的读者,目标是帮助培训新手研究人员。检测用户从三个要素中进行选择:小分子输入、目标细胞类型和流式细胞术读数模块。对于每个要素,我们都探讨了基本和高级的输入示例,包括筛选分级分离的微生物提取物和纯化合物,以及目标细胞,包括原代人类血细胞、小鼠细胞和癌细胞系。流式细胞术读数的一个这样的模块专注于细胞功能,并测量DNA损伤反应(γH2AX)、生长(磷酸化S6)、DNA含量、细胞凋亡(裂解的Caspase3)、细胞周期M期(磷酸化组蛋白H3)和活力(膜通透性)。该方案也可适用于测量不同的功能读数,如细胞身份或分化以及对比细胞损伤机制。该方案设计用于96孔板形式,采用荧光细胞条形码和去条形码算法。最终目标是鼓励下一代化学生物学家在发现和转化研究中使用基于功能细胞的流式细胞术检测方法。

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