In vivo single-cell high-dimensional mass cytometry analysis to track the interaction betweenKlebsiella pneumoniaeand myeloid cells

Author:

Calderon-Gonzalez Ricardo,Dumigan Amy,sa Pessoa Joana,Kissenpfennig Adrien,Bengoechea Jose A.ORCID

Abstract

ABSTRACTIn vivo single-cell approaches have transformed our understanding of the immune populations in tissues. Mass cytometry (CyTOF), that combines the resolution of mass spectrometry with the ability to conduct multiplexed measurements of cell molecules at the single cell resolution, has enabled to resolve the diversity of immune cell subsets, and their heterogeneous functionality. Here we assess the feasibility of taking CyTOF one step further to immuno profile cells while tracking their interaction with bacteria, a method we term Bac-CyTOF. We focus on the pathogenKlebsiella pneumoniaeinterrogating the pneumonia mouse model. Using Bac-CyTOF, we unveil the atlas of immune cells of mice infected with aK. pneumoniaevirulent strain. The atlas is characterized by a decrease in the populations of alveolar macrophages and monocyte-derived macrophages, whereas neutrophils, and inflammatory monocytes are characterized by an increase in the subpopulations expressing markers characteristic of less active cells such as the immune checkpoint PD-L1. These cells are those with associated bacteria. We show that the type VI secretion system (T6SS) contributes to shape the lung immune landscape. The T6SS governs the interaction with monocytes/macrophages by shiftingKlebsiellafrom alveolar macrophages to interstitial macrophages and limiting the infection of inflammatory monocytes. Lack of T6SS results in cells expressing markers of active cells, and a decrease in the subpopulations expressing PD-L1. By infecting withKlebsiella, andAcinetobacter baumanniistrains cleared by mice, we uncover that a heightened recruitment of neutrophils, and relative high levels of alveolar macrophages and eosinophils and the recruitment of a characteristic subpopulation of neutrophils are features of infected mice clearing infections. Lastly, we leverage Bac-CyTOF-generated knowledge platform to investigate the role of the DNA sensor STING inKlebsiellainfections.sting−/−infected mice present features of mice clearing the infection including the reduced levels of PD-L1. STING absence facilitatesKlebsiellaclearance.AUTHOR SUMMARYHost-pathogen interactions are vital to our understanding of infectious disease, as well as its treatment and prevention. Mass cytometry and high-dimensional single-cell data analysis have enabled to resolve the tremendous diversity of immune cell subsets, and their heterogeneous functionality. Here we take this technology one step further to immuno profile cells in vivo while tracking their interaction with bacteria, a method we term Bac-CyTOF. Using this technology, we unveil the atlas of lung immune cells following infection with the human pathogenKlebsiella pneumoniae. The atlas is characterized by an increase in the populations expressing markers characteristic of less active cells such as the immune checkpoint PD-L1. The pathogen interacts with these cells. We uncover the contribution of the antimicrobial nanoweapon T6SS to shape the immune landscape, highlighting its potential in host defence. By probing two pathogens effectively cleared by mice, we reveal features of infections successfully cleared by mice. Lastly, we leverage this knowledge platform to investigate the role of the DNA sensor STING inKlebsiellainfections. There was no prior knowledge on the role of STING inKlebsiellainfection biology. Our findings suggestKlebsiellamay utilize STING signalling for its own benefit because absence of STING facilitatesKlebsiellaclearance.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3