人类免疫细胞的社交网络结构通过定量蛋白质组学揭示。
Social network architecture of human immune cells unveiled by quantitative proteomics.
机构信息
Experimental Systems Immunology, Max Planck Institute of Biochemistry, Bayern, Germany.
Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland.
出版信息
Nat Immunol. 2017 May;18(5):583-593. doi: 10.1038/ni.3693. Epub 2017 Mar 6.
The immune system is unique in its dynamic interplay between numerous cell types. However, a system-wide view of how immune cells communicate to protect against disease has not yet been established. We applied high-resolution mass-spectrometry-based proteomics to characterize 28 primary human hematopoietic cell populations in steady and activated states at a depth of >10,000 proteins in total. Protein copy numbers revealed a specialization of immune cells for ligand and receptor expression, thereby connecting distinct immune functions. By integrating total and secreted proteomes, we discovered fundamental intercellular communication structures and previously unknown connections between cell types. Our publicly accessible (http://www.immprot.org/) proteomic resource provides a framework for the orchestration of cellular interplay and a reference for altered communication associated with pathology.
免疫系统在众多细胞类型之间的动态相互作用中具有独特性。然而,尚未建立一个系统的观点来了解免疫细胞如何相互通讯以抵御疾病。我们应用基于高分辨率质谱的蛋白质组学方法,在总蛋白数超过 10000 的情况下,对 28 种处于稳态和激活状态的原发性人造血细胞群体进行了特征描述。蛋白质拷贝数揭示了免疫细胞在配体和受体表达方面的专业化,从而将不同的免疫功能联系起来。通过整合总蛋白组和分泌蛋白组,我们发现了细胞间基本的通讯结构以及细胞类型之间以前未知的联系。我们公开的蛋白质组学资源(http://www.immprot.org/)为细胞相互作用的协调提供了一个框架,并为与病理学相关的改变的通讯提供了一个参考。