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      Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

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          Abstract

          Tissue fibrosis is a major cause of mortality that results from the deposition of matrix proteins by an activated mesenchyme. Macrophages accumulate in fibrosis, but the role of specific subgroups in supporting fibrogenesis has not been investigated in vivo. Here we used single-cell RNA sequencing (scRNA-seq) to characterize the heterogeneity of macrophages in bleomycin-induced lung fibrosis in mice. A novel computational framework for the annotation of scRNA-seq by reference to bulk transcriptomes (SingleR) enabled the subclustering of macrophages and revealed a disease-associated subgroup with a transitional gene expression profile intermediate between monocyte-derived and alveolar macrophages. These CX3CR1 +SiglecF + transitional macrophages localized to the fibrotic niche and had a profibrotic effect in vivo. Human orthologues of genes expressed by the transitional macrophages were upregulated in samples from patients with idiopathic pulmonary fibrosis. Thus, we have identified a pathological subgroup of transitional macrophages that are required for the fibrotic response to injury.

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          Most cited references23

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          Idiopathic pulmonary fibrosis.

          Idiopathic pulmonary fibrosis is a prototype of chronic, progressive, and fibrotic lung disease. Healthy tissue is replaced by altered extracellular matrix and alveolar architecture is destroyed, which leads to decreased lung compliance, disrupted gas exchange, and ultimately respiratory failure and death. In less than a decade, understanding of the pathogenesis and management of this disease has been transformed, and two disease-modifying therapies have been approved, worldwide. In this Seminar, we summarise the presentation, pathophysiology, diagnosis, and treatment options available for patients with idiopathic pulmonary fibrosis. This disease has improved understanding of the mechanisms of lung fibrosis, and offers hope that similar approaches will transform the management of patients with other progressive fibrotic lung diseases.
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            Single cell RNA Seq reveals dynamic paracrine control of cellular variation

            High-throughput single-cell transcriptomics offers an unbiased approach for understanding the extent, basis, and function of gene expression variation between seemingly identical cells. Here, we sequence single-cell RNA-Seq libraries prepared from over 1,700 primary mouse bone marrow derived dendritic cells (DCs) spanning several experimental conditions. We find substantial variation between identically stimulated DCs, in both the fraction of cells detectably expressing a given mRNA and the transcript’s level within expressing cells. Distinct gene modules are characterized by different temporal heterogeneity profiles. In particular, a “core” module of antiviral genes is expressed very early by a few “precocious” cells, but is later activated in all cells. By stimulating cells individually in sealed microfluidic chambers, analyzing DCs from knockout mice, and modulating secretion and extracellular signaling, we show that this response is coordinated via interferon-mediated paracrine signaling. Surprisingly, preventing cell-to-cell communication also substantially reduces variability in the expression of an early-induced “peaked” inflammatory module, suggesting that paracrine signaling additionally represses part of the inflammatory program. Our study highlights the importance of cell-to-cell communication in controlling cellular heterogeneity and reveals general strategies that multicellular populations use to establish complex dynamic responses.
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              Multiple stromal populations contribute to pulmonary fibrosis without evidence for epithelial to mesenchymal transition.

              There are currently few treatment options for pulmonary fibrosis. Innovations may come from a better understanding of the cellular origin of the characteristic fibrotic lesions. We have analyzed normal and fibrotic mouse and human lungs by confocal microscopy to define stromal cell populations with respect to several commonly used markers. In both species, we observed unexpected heterogeneity of stromal cells. These include numerous cells with molecular and morphological characteristics of pericytes, implicated as a source of myofibroblasts in other fibrotic tissues. We used mouse genetic tools to follow the fates of specific cell types in the bleomcyin-induced model of pulmonary fibrosis. Using inducible transgenic alleles to lineage trace pericyte-like cells in the alveolar interstitium, we show that this population proliferates in fibrotic regions. However, neither these cells nor their descendants express high levels of the myofibroblast marker alpha smooth muscle actin (Acta2, aSMA). We then used a Surfactant protein C-CreER(T2) knock-in allele to follow the fate of Type II alveolar cells (AEC2) in vivo. We find no evidence at the cellular or molecular level for epithelial to mesenchymal transition of labeled cells into myofibroblasts. Rather, bleomycin accelerates the previously reported conversion of AEC2 into AEC1 cells. Similarly, epithelial cells labeled with our Scgb1a1-CreER allele do not give rise to fibroblasts but generate both AEC2 and AEC1 cells in response to bleomycin-induced lung injury. Taken together, our results show a previously unappreciated heterogeneity of cell types proliferating in fibrotic lesions and exclude pericytes and two epithelial cell populations as the origin of myofibroblasts.
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                Author and article information

                Journal
                100941354
                21750
                Nat Immunol
                Nat. Immunol.
                Nature immunology
                1529-2908
                1529-2916
                10 November 2018
                14 January 2019
                February 2019
                14 July 2019
                : 20
                : 2
                : 163-172
                Affiliations
                [1 ]Institute for Computational Health Sciences, University of California, San Francisco, CA 94158, USA
                [2 ]Division of Pulmonary, Critical Care, Allergy, and Sleep Medicine, Department of Medicine, University of California, San Francisco, CA 94143, USA
                [3 ]Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA
                [4 ]Gladstone Institute of Cardiovascular Disease, San Francisco, CA 94158, USA
                [5 ]California Institute for Quantitative Biosciences, University of California, San Francisco, CA 94158, USA
                [6 ]Chan Zuckerberg Biohub, San Francisco, CA 94158, USA
                Author notes

                Author contributions

                D.A. developed SingleR and performed computational analysis of single cell data under the guidance of A.J.B.; A.P.L. performed in vivo and in vitro experiments under the guidance of M.B. and with the assistance of E.W. and S.C.; L.L. performed microfluidic capture of single cell transcriptomes, library preparation, and sequencing under the guidance of A.R.A.; V.F., A.H, and E.W. prepared breeding and experimental stocks of genetically modified mice and performed lung injury models under the guidance of M.B.; P.J.W. contributed acquisition, storage, and processing of human samples and, with R.P.N., acquired lung microarray data from mice with telomere dysfunction; D.A. prepared the figures. M.B. conceived of the work, supervised experimental planning and execution, and wrote the manuscript with input D.A., A.P.L, and L.L.

                Article
                NIHMS1512141
                10.1038/s41590-018-0276-y
                6340744
                30643263
                8780eb00-70e7-48cd-8285-56940c21bcba

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                Immunology
                Immunology

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