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单细胞质谱流式细胞术分析人类造血连续统中的免疫和药物反应差异。

Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum.

机构信息

Baxter Laboratory in Stem Cell Biology, Department of Microbiology and Immunology, Stanford University, Stanford, CA 94305, USA.

出版信息

Science. 2011 May 6;332(6030):687-96. doi: 10.1126/science.1198704.


DOI:10.1126/science.1198704
PMID:21551058
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3273988/
Abstract

Flow cytometry is an essential tool for dissecting the functional complexity of hematopoiesis. We used single-cell "mass cytometry" to examine healthy human bone marrow, measuring 34 parameters simultaneously in single cells (binding of 31 antibodies, viability, DNA content, and relative cell size). The signaling behavior of cell subsets spanning a defined hematopoietic hierarchy was monitored with 18 simultaneous markers of functional signaling states perturbed by a set of ex vivo stimuli and inhibitors. The data set allowed for an algorithmically driven assembly of related cell types defined by surface antigen expression, providing a superimposable map of cell signaling responses in combination with drug inhibition. Visualized in this manner, the analysis revealed previously unappreciated instances of both precise signaling responses that were bounded within conventionally defined cell subsets and more continuous phosphorylation responses that crossed cell population boundaries in unexpected manners yet tracked closely with cellular phenotype. Collectively, such single-cell analyses provide system-wide views of immune signaling in healthy human hematopoiesis, against which drug action and disease can be compared for mechanistic studies and pharmacologic intervention.

摘要

流式细胞术是剖析造血功能复杂性的重要工具。我们使用单细胞“质谱流式细胞术”来检测健康的人类骨髓,在单细胞中同时测量 34 个参数(31 种抗体结合、细胞活力、DNA 含量和相对细胞大小)。通过一组体外刺激物和抑制剂来监测跨越定义明确的造血层次结构的细胞亚群的信号转导行为,同时监测 18 个功能信号状态的标记物。该数据集允许通过表面抗原表达定义的相关细胞类型进行算法驱动的组合,从而提供药物抑制作用的细胞信号反应的叠加图。以这种方式可视化,分析揭示了以前未被注意到的精确信号反应,这些反应被限定在传统定义的细胞亚群内,以及更连续的磷酸化反应,这些反应以出人意料的方式跨越细胞群体边界,但与细胞表型密切相关。总的来说,这种单细胞分析为健康人类造血中的免疫信号提供了系统范围的视图,可以对药物作用和疾病进行比较,以进行机制研究和药物干预。

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本文引用的文献

[1]
Functional characterization of FLT3 receptor signaling deregulation in acute myeloid leukemia by single cell network profiling (SCNP).

PLoS One. 2010-10-27

[2]
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Blood. 2010-10-7

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J Immunol Methods. 2010-7-21

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Nat Immunol. 2010-6-13

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B-cell signaling networks reveal a negative prognostic human lymphoma cell subset that emerges during tumor progression.

Proc Natl Acad Sci U S A. 2010-6-11

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Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy.

Clin Cancer Res. 2010-6-4

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Drug Metab Dispos. 2010-4-27

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Blood. 2010-4-19

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Evaluation of a 12-color flow cytometry panel to study lymphocyte, monocyte, and dendritic cell subsets in humans.

Cytometry A. 2010-5

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Recent Results Cancer Res. 2010

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