Massively parallel flow-cytometry-based screening of hematopoietic lineage cell populations from up to 25 donors simultaneously

IF 4.2 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Methods Pub Date : 2025-02-01 DOI:10.1016/j.ymeth.2024.11.014
Jan Devan , Michaela Sandalova , Pamela Bitterli , Nick Herger , Tamara Mengis , Kenta Brender , Irina Heggli , Oliver Distler , Stefan Dudli
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Abstract

This study aimed to develop a method allowing high-dimensional and technically uniform screening of surface markers on cells of hematopoietic origin. High-dimensional screening of cell phenotypes is primarily the domain of single-cell RNA sequencing (RNAseq), which allows simultaneous analysis of the expression of thousands of genes in several thousands of cells. However, rare cell populations can often substantially impact tissue homeostasis or disease pathogenesis, and dysregulation of rare populations can easily be missed when only a few thousand cells are analyzed. With the presented methodological approach, it is possible to screen hundreds of markers on millions of cells in a technically uniform manner and thus identify and characterize changes in rare populations.
We utilize the highly expressed markers CD45 on immune cells and CD71 on erythroid progenitors to create unique fluorescent barcodes on each of the 25 samples. Double-barcoded samples are co-stained with a broad immunophenotyping panel. The panel is designed in such a way that allows the addition of PE-labelled antibody, which was used for screening purposes. Multiplexed samples are divided into hundreds of aliquots and co-stained, each aliquot with a different PE-labelled antibody. Utilizing a broad immunophenotyping panel and machine-learning algorithms, we can predict the co-expression of hundreds of screened markers with a high degree of precision. This technique is suitable for screening immune cells in bone marrow from different locations, blood specimens, or any tissue with a substantial presence of immune cells, such as tumors or inflamed tissue areas in autoimmune conditions. It represents an approach that can significantly improve our ability to recognize dysregulated immune cell populations and, if needed, precisely target subsequent experiments covering lower cell counts such as RNAseq.

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大规模平行流式细胞术同时筛选多达25个供体的造血谱系细胞群。
本研究旨在开发一种方法,允许高维和技术上统一筛选造血细胞的表面标记物。细胞表型的高维筛选主要是单细胞RNA测序(RNAseq)的领域,它允许同时分析数千个细胞中数千个基因的表达。然而,罕见的细胞群通常会严重影响组织稳态或疾病发病机制,当只分析几千个细胞时,罕见的细胞群失调很容易被遗漏。利用所提出的方法,可以以技术上统一的方式筛选数百万个细胞上的数百个标记,从而识别和表征罕见种群的变化。我们利用免疫细胞上高表达的CD45和红细胞祖细胞上高表达的CD71标记,在25个样本上分别创建独特的荧光条形码。双条形码样品与广泛的免疫表型组共同染色。该面板的设计方式允许添加pe标记的抗体,用于筛选目的。多路复用的样品被分成数百个等分并共同染色,每个等分用不同的pe标记抗体。利用广泛的免疫表型面板和机器学习算法,我们可以高度精确地预测数百种筛选标记物的共表达。该技术适用于筛选骨髓中不同部位的免疫细胞、血液标本或任何具有大量免疫细胞存在的组织,如自身免疫性疾病中的肿瘤或炎症组织区域。它代表了一种方法,可以显著提高我们识别失调免疫细胞群的能力,如果需要,可以精确地针对后续实验,覆盖较低的细胞计数,如RNAseq。
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来源期刊
Methods
Methods 生物-生化研究方法
CiteScore
9.80
自引率
2.10%
发文量
222
审稿时长
11.3 weeks
期刊介绍: Methods focuses on rapidly developing techniques in the experimental biological and medical sciences. Each topical issue, organized by a guest editor who is an expert in the area covered, consists solely of invited quality articles by specialist authors, many of them reviews. Issues are devoted to specific technical approaches with emphasis on clear detailed descriptions of protocols that allow them to be reproduced easily. The background information provided enables researchers to understand the principles underlying the methods; other helpful sections include comparisons of alternative methods giving the advantages and disadvantages of particular methods, guidance on avoiding potential pitfalls, and suggestions for troubleshooting.
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