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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).通过单细胞网络分析(SCNP)对急性髓细胞白血病中 FLT3 受体信号失调的功能特征进行研究。
PLoS One. 2010 Oct 27;5(10):e13543. doi: 10.1371/journal.pone.0013543.
2
Dasatinib induces complete remission in a patient with primary cerebral involvement of B-cell chronic lymphocytic leukemia failing chemotherapy.达沙替尼使一名化疗失败的原发性脑受累B细胞慢性淋巴细胞白血病患者获得完全缓解。
Blood. 2010 Oct 7;116(14):2617-8. doi: 10.1182/blood-2010-04-279786.
3
Highly multiparametric analysis by mass cytometry.高参数多参数分析通过质谱流式细胞术。
J Immunol Methods. 2010 Sep 30;361(1-2):1-20. doi: 10.1016/j.jim.2010.07.002. Epub 2010 Jul 21.
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Revised map of the human progenitor hierarchy shows the origin of macrophages and dendritic cells in early lymphoid development.人类祖细胞层次结构的修订图谱显示了巨噬细胞和树突状细胞在早期淋巴发育中的起源。
Nat Immunol. 2010 Jul;11(7):585-93. doi: 10.1038/ni.1889. Epub 2010 Jun 13.
5
B-cell signaling networks reveal a negative prognostic human lymphoma cell subset that emerges during tumor progression.B 细胞信号网络揭示了一种在肿瘤进展过程中出现的具有负预后的人类淋巴瘤细胞亚群。
Proc Natl Acad Sci U S A. 2010 Jul 20;107(29):12747-54. doi: 10.1073/pnas.1002057107. Epub 2010 Jun 11.
6
Dynamic single-cell network profiles in acute myelogenous leukemia are associated with patient response to standard induction therapy.急性髓系白血病中动态单细胞网络谱与患者对标准诱导治疗的反应相关。
Clin Cancer Res. 2010 Jul 15;16(14):3721-33. doi: 10.1158/1078-0432.CCR-10-0093. Epub 2010 Jun 4.
7
Comparison of ATP-binding cassette transporter interactions with the tyrosine kinase inhibitors imatinib, nilotinib, and dasatinib.比较三磷酸腺苷结合盒转运蛋白与酪氨酸激酶抑制剂伊马替尼、尼洛替尼和达沙替尼的相互作用。
Drug Metab Dispos. 2010 Aug;38(8):1371-80. doi: 10.1124/dmd.109.031302. Epub 2010 Apr 27.
8
Novel mutations in the inhibitory adaptor protein LNK drive JAK-STAT signaling in patients with myeloproliferative neoplasms.新型抑制衔接蛋白 LNK 突变驱动骨髓增殖性肿瘤患者的 JAK-STAT 信号通路。
Blood. 2010 Aug 12;116(6):988-92. doi: 10.1182/blood-2010-02-270108. Epub 2010 Apr 19.
9
Evaluation of a 12-color flow cytometry panel to study lymphocyte, monocyte, and dendritic cell subsets in humans.评估 12 色流式细胞术面板以研究人类淋巴细胞、单核细胞和树突状细胞亚群。
Cytometry A. 2010 May;77(5):410-9. doi: 10.1002/cyto.a.20859.
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Dasatinib.达沙替尼
Recent Results Cancer Res. 2010;184:83-102. doi: 10.1007/978-3-642-01222-8_7.

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。