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      A specific and portable gene expression program underlies antigen archiving by lymphatic endothelial cells

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          Abstract

          Antigens from protein subunit vaccination traffic from the tissue to the draining lymph node, either passively via the lymph or carried by dendritic cells at the local injection site. Lymph node (LN) lymphatic endothelial cells (LEC) actively acquire and archive foreign antigens, and archived antigen can be released during subsequent inflammatory stimulus to improve immune responses. Here, we answer questions about how LECs achieve durable antigen archiving and whether there are transcriptional signatures associated with LECs containing high levels of antigen. We used single cell sequencing in dissociated LN tissue to quantify antigen levels in LEC and dendritic cell populations at multiple timepoints after immunization, and used machine learning to define a unique transcriptional program within archiving LECs that can predict LEC archiving capacity in independent data sets. Finally, we validated this modeling, showing we could predict antigen archiving from a transcriptional dataset of CHIKV infected mice and demonstrated in vivo the accuracy of our prediction. Collectively, our findings establish a unique transcriptional program in LECs that promotes antigen archiving that can be translated to other systems.

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          Most cited references48

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          Fast, sensitive, and accurate integration of single cell data with Harmony

          The emerging diversity of single cell RNAseq datasets allows for the full transcriptional characterization of cell types across a wide variety of biological and clinical conditions. However, it is challenging to analyze them together, particularly when datasets are assayed with different technologies. Here, real biological differences are interspersed with technical differences. We present Harmony, an algorithm that projects cells into a shared embedding in which cells group by cell type rather than dataset-specific conditions. Harmony simultaneously accounts for multiple experimental and biological factors. In six analyses, we demonstrate the superior performance of Harmony to previously published algorithms. We show that Harmony requires dramatically fewer computational resources. It is the only currently available algorithm that makes the integration of ~106 cells feasible on a personal computer. We apply Harmony to PBMCs from datasets with large experimental differences, 5 studies of pancreatic islet cells, mouse embryogenesis datasets, and cross-modality spatial integration.
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            Defining trained immunity and its role in health and disease

            Immune memory is a defining feature of the acquired immune system, but activation of the innate immune system can also result in enhanced responsiveness to subsequent triggers. This process has been termed ‘trained immunity’, a de facto innate immune memory. Research in the past decade has pointed to the broad benefits of trained immunity for host defence but has also suggested potentially detrimental outcomes in immune-mediated and chronic inflammatory diseases. Here we define ‘trained immunity’ as a biological process and discuss the innate stimuli and the epigenetic and metabolic reprogramming events that shape the induction of trained immunity.
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              Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity.

              Monocyte differentiation into macrophages represents a cornerstone process for host defense. Concomitantly, immunological imprinting of either tolerance or trained immunity determines the functional fate of macrophages and susceptibility to secondary infections. We characterized the transcriptomes and epigenomes in four primary cell types: monocytes and in vitro-differentiated naïve, tolerized, and trained macrophages. Inflammatory and metabolic pathways were modulated in macrophages, including decreased inflammasome activation, and we identified pathways functionally implicated in trained immunity. β-glucan training elicits an exclusive epigenetic signature, revealing a complex network of enhancers and promoters. Analysis of transcription factor motifs in deoxyribonuclease I hypersensitive sites at cell-type-specific epigenetic loci unveiled differentiation and treatment-specific repertoires. Altogether, we provide a resource to understand the epigenetic changes that underlie innate immunity in humans. Copyright © 2014, American Association for the Advancement of Science.
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                02 April 2024
                : 2024.04.01.587647
                Affiliations
                [1 ]Department of Medicine, Division of Gastroenterology and Hepatology, University of Colorado School of Medicine
                [2 ]Immunology Graduate Program, University of Colorado School of Medicine
                [3 ]Department of Biochemistry and Molecular Genetics, RNA Bioscience Initiative, University of Colorado School of Medicine
                [4 ]Department of Immunology and Microbiology, Aurora, CO, USA.
                Author notes

                AUTHORS’ CONTRIBUTIONS

                RS performed bioinformatic analysis, conceptualized experiments, and drafted the paper, TAD performed experiments, analyzed data, and drafted the paper, CL performed experiments, conceptualized experiments and revised the paper, TF performed experiments and revised the paper, AU performed experiments and analyzed data, JRH conceptualized experiments and revised the paper, TEM conceptualized experiments and revised the paper and BAJ conceptualized experiments, analyzed data, drafted the paper, revised the paper.

                [* ] Corresponding Author: Beth A Jirón Tamburini, Beth.tamburini@ 123456cuanschutz.edu
                Author information
                http://orcid.org/0000-0002-1811-2938
                http://orcid.org/0000-0002-6299-179X
                http://orcid.org/0000-0003-1991-231X
                Article
                10.1101/2024.04.01.587647
                11014631
                38617225
                551e9d56-d05b-495a-9193-5ce73bc7463c

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.

                History
                Funding
                Funded by: NIH, Department of Medicine ASPIRE Award, University of Colorado Anschutz Medical Campus GI and Liver Innate Immune Programs and the Waterman Family Foundation for Liver Research
                Award ID: R01 AI121209
                Award ID: R01 AI155474
                Award ID: R21 AI155929
                Categories
                Article

                lymph node,gene expression program,antigen archiving,lymph node stromal cell,chikungunya virus,immunization,lymphatic endothelial cell,fibroblastic reticular cell,dendritic cell

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