Population structure of myeloid cells in healthy and diseased human lungs.

肺是直接暴露于病原体和环境颗粒的三个器官之一。毫不奇怪，肺需要局部免疫系统，其允许针对这些病原体的快速和有效的反应，但在任何损伤（感染性或非感染性）期间确保器官完整性和功能。在稳态条件下，肺含有特化的免疫细胞，包括肺泡巨噬细胞（AM）、常规和浆细胞样树突细胞（DC）、肥大细胞、先天性淋巴样细胞（ILC）、不变的自然杀伤T（iNKT）细胞、NK细胞、记忆T细胞和调节性T细胞（Treg）。通过对细胞表面标记物定义的免疫细胞群体进行经典的表型分析和功能分析，我们对免疫细胞的理解已经大大加速。然而，目前用于区分亚群的表型分析技术也产生了相互矛盾的结果。虽然这是向前迈出的重要一步，但即使是CyTof评估40个或更多参数的技术，也不能以完全无偏的方式识别免疫细胞的亚群结构。特别是对于组织如人肺中的髓样细胞区室，使用经典方法来明确描述、理解和研究现有的细胞异质性和可塑性变得越来越困难，不仅在稳态方面，我们假设，我们可以更好地了解人肺的真实免疫细胞群体结构和肺组织的病理生理学。如果我们能够以前所未有的分辨率水平（几百个基因/每个细胞）评估人类肺部免疫系统的细胞区室，特别是骨髓细胞区室，那么肺部的主要疾病将变得更加重要。随着单细胞水平测序技术（如scRNA-seq）的出现，一条全新的途径已经打开，我们现在能够应用这些技术来描述感兴趣器官的真实群体结构。由于scRNA-seq等技术从未应用于人类健康肺组织中的免疫细胞，并且由于我们有幸将我们在肺移植生物学、肺免疫生物学、巨噬细胞生物学、scRNA-seq、转录组学和生物信息学方面的专业知识联合收割机结合起来，我们建议使用scRNA-seq发现人肺髓样细胞区室中的真实群体结构，并确定新亚群结构对肺部疾病的临床影响，移植

The lung is one of three organs that is directly exposed to pathogens and particles from the environment. Not surprisingly, the lung requires a local immune system that allows for fast and effective responses against such pathogens, yet secures organ integrity and function during any insult, infectious or non-infectious. Under homeostatic conditions, the lung harbors specialized immune cells including alveolar macrophages (AM), conventional and plasmacytoid dendritic cells (DCs), mast cells, innate lymphoid cells (ILCs), invariant natural killer T (iNKT) cells, NK cells, memory T cells, and regulatory T cells (Treg). Our understanding of immune cells has been greatly accelerated by classical phenotyping and functional analysis of cell surface marker defined immune cell populations. However, current phenotyping technologies used to distinguish subpopulations have also generated contradictory results. While a significant step forward, even technologies such as CyTof assessing 40 and more parameters are not designed to identify a subpopulation structure of immune cells in an entirely unbiased fashion. Particularly for the myeloid cell compartment in tissues such as the human lung, it is becoming increasingly difficult using classical approaches to unequivocally describe, understand and study the existing cellular heterogeneity and plasticity, not only in homeostasis, but particularly under pathological conditions.We hypothesize that we can gain a higher understanding of the true immune cell population structure of the human lung and the pathophysiology of the major diseases of the lung if we can assess the cellular compartments of the human lungs immune system, particularly the myeloid cell compartment at an unprecedented level of resolution (several hundred genes/per cell). We further hypothesize that such a high-resolution analysis is required to better understand the functionality of pulmonary immune system.With the advent of sequencing technologies on the single cell level (e.g. scRNA-seq), a completely new avenue has been opened and we are now in the position to apply such technologies to describe the true population structure of an organ of interest. Since technologies such as scRNA-seq have never been applied to immune cells in human healthy lung tissue and since we are in the fortunate position to combine our expertise in lung transplant biology, lung immune biology, macrophage biology, scRNA-seq, transcriptomics and bioinformatics, we propose to use scRNA-seq to discover the true population structure in the myeloid cell compartment of the human lung and to define the clinical impact of the new subpopulation structure for lung diseases and transplantation.