Regulation of Lung Immunity: Significance of the Cytokine Environment

Author(s):  
Nicholas W. Lukacs ◽  
Theodore Standiford ◽  
Cory Hogaboam ◽  
Steven L. Kunkel
Keyword(s):  
1988 ◽  
Vol 81 (1) ◽  
pp. 184
Author(s):  
David N. Weissman ◽  
David E. Bice ◽  
Bruce A. Muggenburg ◽  
Mark R. Schuyler

1980 ◽  
Vol 23 (2) ◽  
pp. 362-370 ◽  
Author(s):  
C.T. Schnizlein ◽  
D.E. Bice ◽  
A.H. Rebar ◽  
R.K. Wolff ◽  
R.L. Beethe

2018 ◽  
Vol 104 (4) ◽  
pp. 737-741 ◽  
Author(s):  
Samuel Philip Nobs ◽  
Manfred Kopf
Keyword(s):  
Ppar Γ ◽  

Author(s):  
L. Li ◽  
G.A. Gusarova ◽  
M.N. Islam ◽  
J. Bhattacharya
Keyword(s):  

2019 ◽  
Vol 8 (8) ◽  
pp. 785-796 ◽  
Author(s):  
Desiree Perlee ◽  
Alex F. Vos ◽  
Brendon P. Scicluna ◽  
Pablo Mancheño ◽  
Olga Rosa ◽  
...  

2013 ◽  
Vol 30 ◽  
pp. 150-155 ◽  
Author(s):  
Mikhail P. Moshkin ◽  
Galina V. Kontsevaya ◽  
Ekaterina A. Litvinova ◽  
Ludmila A. Gerlinskaya
Keyword(s):  

2021 ◽  
Author(s):  
Zhongli Xu ◽  
Xinjun Wang ◽  
Li Fan ◽  
Fujing Wang ◽  
Jiebiao Wang ◽  
...  

Immunological memory is key to productive adaptive immunity. An unbiased, high through-put gene expression profiling of tissue-resident memory T cells residing in various anatomical location within the lung is fundamental to understand lung immunity but still lacking. In this study, using a well-established model on Klebsiella pneumoniae, we performed an integrative analysis of spatial transcriptome with single-cell RNA-seq and single-cell ATAC-seq on lung cells from mice after Immunization using the 10x Genomics Chromium and Visium platform. We employed several deconvolution algorithms and established an optimized deconvolution pipeline to accurately decipher specific cell-type composition by location. We identified and located 12 major cell types by scRNA-seq and spatial transcriptomic analysis. Integrating scATAC-seq data from the same cells processed in parallel with scRNA-seq, we found epigenomic profiles provide more robust cell type identification, especially for lineage-specific T helper cells. When combining all three data modalities, we observed a dynamic change in the location of T helper cells as well as their corresponding chemokines for chemotaxis. Furthermore, cell-cell communication analysis of spatial transcriptome provided evidence of lineage-specific T helper cells receiving designated cytokine signaling. In summary, our first-in-class study demonstrated the power of multi-omics analysis to uncover intrinsic spatial- and cell-type-dependent molecular mechanisms of lung immunity. Our data provides a rich research resource of single cell multi-omics data as a reference for understanding spatial dynamics of lung immunization.


2020 ◽  
Author(s):  
Jessica Borger

A dynamic and intricately connected tissue-resident immune cell network continuously monitors the lungs, which are incessantly subjected to external environmental insults. The lungs are protected by the respiratory epithelium, which not only serves as a physical barrier through mucociliary mechanisms, but also a reactive one that can release cytokines, chemokines, and other defence proteins in response to danger signals. In the maintenance of pulmonary homeostasis in health, the lung-resident immune cell network instructs tolerance to innocuous particulates and can rapidly and efficiently drive immunity and memory to pathogenic antigens. This review examines the spatiotemporal dynamics that underlie the exquisite network of highly specialised immune cells and their mediators in the support of pulmonary tissue homeostasis and effective lung immunity in health. In particular, this review examines the specialised immune cells that reside in distinct populations within the diverse compartments of the lung, and the molecular signals that retain and recruit lung-resident immune cells, to further our understanding of how these can be targeted therapeutically to return inflamed or diseased lungs to homeostasis.


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