OMIP-95:40彩色光谱流式细胞仪描绘了小鼠淋巴组织中的所有主要白细胞群体。

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Cytometry Part A Pub Date : 2023-11-01 Epub Date: 2023-09-28 DOI:10.1002/cyto.a.24788
Aris J Kare, Lisa Nichols, Ricardo Zermeno, Marina N Raie, Spencer K Tumbale, Katherine W Ferrara
{"title":"OMIP-95:40彩色光谱流式细胞仪描绘了小鼠淋巴组织中的所有主要白细胞群体。","authors":"Aris J Kare, Lisa Nichols, Ricardo Zermeno, Marina N Raie, Spencer K Tumbale, Katherine W Ferrara","doi":"10.1002/cyto.a.24788","DOIUrl":null,"url":null,"abstract":"<p><p>High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.</p>","PeriodicalId":11068,"journal":{"name":"Cytometry Part A","volume":" ","pages":"839-850"},"PeriodicalIF":2.5000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10843696/pdf/","citationCount":"0","resultStr":"{\"title\":\"OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.\",\"authors\":\"Aris J Kare, Lisa Nichols, Ricardo Zermeno, Marina N Raie, Spencer K Tumbale, Katherine W Ferrara\",\"doi\":\"10.1002/cyto.a.24788\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.</p>\",\"PeriodicalId\":11068,\"journal\":{\"name\":\"Cytometry Part A\",\"volume\":\" \",\"pages\":\"839-850\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10843696/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cytometry Part A\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1002/cyto.a.24788\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2023/9/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytometry Part A","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1002/cyto.a.24788","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/9/28 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0

摘要

高维免疫图谱对于研究小鼠模型系统中宿主对免疫疗法、感染和疾病的反应至关重要。然而,多参数面板设计的困难,加上缺乏现有的小鼠工具,阻碍了在单一测定中对所有主要白细胞表型进行全面研究。在此,我们提出了一个40色流式细胞仪小组,用于小鼠淋巴组织的深层免疫表型分析,包括脾脏、血液、派耶贴、腹股沟淋巴结、骨髓和胸腺。该小组使用了一组强大的表面标记物,能够在不使用细胞内染色的情况下分化白细胞亚群,从而允许在下游功能实验或多组分析中使用细胞。我们的小组通过使用一系列共刺激、检查点、激活、迁移和成熟标记物,对T细胞、B细胞、自然杀伤细胞、先天淋巴细胞、单核细胞、巨噬细胞、树突状细胞、嗜碱性粒细胞、中性粒细胞、嗜酸性粒细胞、祖细胞及其功能亚群进行分类。该工具具有多种系统免疫学应用,从循环血液特征的连续监测到复杂的终点分析,尤其是在治疗可以调节白细胞丰度和/或功能的临床前环境中。最终,这个40色的面板在时间、组织和治疗的轴上解决了一系列不同的免疫细胞,填补了专门用于小鼠免疫表型的现代工具的空白。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
OMIP-095: 40-Color spectral flow cytometry delineates all major leukocyte populations in murine lymphoid tissues.

High-dimensional immunoprofiling is essential for studying host response to immunotherapy, infection, and disease in murine model systems. However, the difficulty of multiparameter panel design combined with a lack of existing murine tools has prevented the comprehensive study of all major leukocyte phenotypes in a single assay. Herein, we present a 40-color flow cytometry panel for deep immunophenotyping of murine lymphoid tissues, including the spleen, blood, Peyer's patches, inguinal lymph nodes, bone marrow, and thymus. This panel uses a robust set of surface markers capable of differentiating leukocyte subsets without the use of intracellular staining, thus allowing for the use of cells in downstream functional experiments or multiomic analyses. Our panel classifies T cells, B cells, natural killer cells, innate lymphoid cells, monocytes, macrophages, dendritic cells, basophils, neutrophils, eosinophils, progenitors, and their functional subsets by using a series of co-stimulatory, checkpoint, activation, migration, and maturation markers. This tool has a multitude of systems immunology applications ranging from serial monitoring of circulating blood signatures to complex endpoint analysis, especially in pre-clinical settings where treatments can modulate leukocyte abundance and/or function. Ultimately, this 40-color panel resolves a diverse array of immune cells on the axes of time, tissue, and treatment, filling the niche for a modern tool dedicated to murine immunophenotyping.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信