Decoding Immune Cell Doublets in Humans: From Artifacts to Insights

IF 2.9 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Cytometry Part A Pub Date : 2026-09-15 Epub Date: 2026-08-14 DOI:10.1002/cyto.a.70060
Ningxin Kang, Cheryl Kim, Bjoern Peters, Julie G. Burel
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引用次数: 0

Abstract

Although routinely detected in human blood and tissue samples, immune cell doublets are typically discarded during data acquisition or analysis, often dismissed as technical artifacts arising from ex vivo cell handling. However, emerging evidence suggests that these immune cell doublets reflect biologically meaningful interactions, offering critical insights into immune communication during health and disease. In this review, we evaluate the current evidence supporting the existence of biological immune cell doublets across various human tissues, highlighting their diverse phenotypes and functions that distinguish them from technical noise. We explore how existing single-cell datasets and analytical frameworks can be repurposed to study doublets, and we examine the primary challenge in the field, which is the lack of definitive markers to distinguish biological doublets from artifacts. Finally, we examine how novel technologies, namely high-throughput image-enabled sorting, are facilitating the next generation of research on this topic.

解码人类免疫细胞双体:从文物到见解。
尽管在人体血液和组织样本中经常检测到免疫细胞双偶体,但在数据采集或分析过程中通常会被丢弃,通常被视为体外细胞处理产生的技术伪影。然而,新出现的证据表明,这些免疫细胞偶联反映了生物学上有意义的相互作用,为健康和疾病期间的免疫通讯提供了重要的见解。在这篇综述中,我们评估了目前支持生物免疫细胞双重体存在于各种人体组织的证据,强调了它们不同的表型和功能,将它们与技术噪音区分开来。我们探讨了如何将现有的单细胞数据集和分析框架重新用于研究双体,并研究了该领域的主要挑战,即缺乏区分生物双体和人工产物的明确标记。最后,我们研究了新技术,即高通量图像支持分类,如何促进该主题的下一代研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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.
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