In the last decade, there has been a tremendous development of technologies focused on analysing various molecular attributes in single cells, with an ever‐increasing number of parameters becoming available at the DNA, RNA and protein levels. Much of this progress has involved cells in suspension, but also in situ analysis of tissues has taken great leaps. Paralleling the development in the laboratory, and because of increasing complexity, the analysis of single‐cell data is also constantly being updated with new algorithms and analysis platforms. Our immune system shares this complexity, and immunologists have therefore been in the forefront of this technological development. These technologies clearly open new avenues for immunology research, maybe particularly within autoimmunity where the interaction between the faulty immune system and the thymus or the target organ is important. However, the technologies currently available can seem overwhelming and daunting. The aim of this review is to remedy this by giving a balanced overview of the prospects of using single‐cell analysis in basal and clinical autoimmunity research, with an emphasis on endocrine autoimmunity.

中文翻译：

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自身免疫中单细胞分析的前景。

在过去的十年中，专注于分析单细胞中各种分子属性的技术得到了巨大的发展，在DNA，RNA和蛋白质水平上，越来越多的参数变得可用。许多进展涉及悬浮的细胞，但组织的原位分析也取得了巨大飞跃。与实验室的发展并行，并且由于复杂性的增加，单细胞数据的分析也在不断使用新的算法和分析平台进行更新。我们的免疫系统具有这种复杂性，因此免疫学家一直处于这项技术发展的最前沿。这些技术显然为免疫学研究开辟了新途径，尤其是在自身免疫中，其中免疫系统故障与胸腺或靶器官之间的相互作用很重要。但是，当前可用的技术似乎势不可挡且令人生畏。这篇综述的目的是通过平衡地概述基础和临床自身免疫研究中使用单细胞分析的前景，并着重于内分泌自身免疫来纠正这一问题。