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揭开B细胞异质性:从单细胞多组数据对流细胞计门B细胞的洞察

Jane I Pernes1,2, Atheer Alsayah1,3, Felicia Tucci1,4

  • 1Department of Biochemistry, University of Oxford, Oxford, United Kingdom.

Frontiers in immunology
|May 6, 2024
PubMed

Insights

单细胞多组学揭示了B细胞子集异质性和污染在流细胞计门. 一种名为AlliGateR的新工具提高了B细胞的纯度,以准确地表征免疫细胞.

科学领域:

  • 免疫学 免疫学 免疫学
  • 单细胞多组体的单细胞多组体.
  • 流动细胞计量流动细胞计量

背景情况:

  • B细胞对适应性免疫非常重要,传统上使用流细胞计进行鉴定.
  • 流细胞计定义的B细胞子集及其分子特征之间存在差异.
  • 标准的B细胞关策略可能导致细胞污染和子集识别的模糊性.

研究的目的:

  • 为了解决流细胞计定义的B细胞子集及其分子身份之间的差异.
  • 通过单细胞多组学,在标准流量细胞计门内对细胞污染进行表征.
  • 解决围绕非传统B细胞子集的模两可,并评估疾病特异性的异质性.

主要方法:

  • 分析各种疾病中健康个体和患者的多omics单细胞数据.
  • 基于流量细胞计的关中细胞污染的表征.
  • 开发和应用AlliGateR工具,用于识别额外的门标.

主要成果:

  • 流细胞计定义的B细胞种群表现出显著的异质性,在疾病状态之间有所不同.
  • 标准的封闭策略可能导致细胞污染,影响功能研究的含义.
  • 使用非线性网关 (CD20,CD21,CD24) 的AlliGateR工具提高了原始和记忆B细胞群的纯度.

结论:

  • 需要重新考虑B细胞子集的定义,利用单细胞多组学来精细表征.
  • 单细胞多组学弥合了基于表面标记的注释和分子B细胞特征之间的差距.
  • AlliGateR工具提供了一种解决方案,可以提高免疫学研究中B细胞子集识别的准确性.
抽象的

No abstract available in PubMed .

关键词:
B 细胞 B 细胞 B 细胞在CITE-seqq.不典型的B细胞.流动细胞计量是流动细胞计量的方法.一个单细胞的多组体.

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