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      Single-cell sequencing of PBMC characterizes the altered transcriptomic landscape of classical monocytes in BNT162b2-induced myocarditis

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          Abstract

          The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been the most dangerous threat to public health worldwide for the last few years, which led to the development of the novel mRNA vaccine (BNT162b2). However, BNT162b2 vaccination is known to be associated with myocarditis. Here, as an attempt to determine the pathogenesis of the disease and to develop biomarkers to determine whether subjects likely proceed to myocarditis after vaccination, we conducted a time series analysis of peripheral blood mononuclear cells of a patient with BNT162b2-induced myocarditis. Single-cell RNA sequence analysis identified monocytes as the cell clusters with the most dynamic changes. To identify distinct gene expression signatures, we compared monocytes of BNT162b2-induced myocarditis with monocytes under various conditions, including SARS-CoV-2 infection, BNT162b2 vaccination, and Kawasaki disease, a disease similar to myocarditis. Representative changes in the transcriptomic profile of classical monocytes include the upregulation of genes related to fatty acid metabolism and downregulation of transcription factor AP-1 activity. This study provides, for the first time, the importance of classical monocytes in the pathogenesis of myocarditis following BNT162b2 vaccination and presents the possibility that vaccination affects monocytes, further inducing their differentiation and infiltration into the heart.

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          Most cited references61

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            Integrated analysis of multimodal single-cell data

            Summary The simultaneous measurement of multiple modalities represents an exciting frontier for single-cell genomics and necessitates computational methods that can define cellular states based on multimodal data. Here, we introduce “weighted-nearest neighbor” analysis, an unsupervised framework to learn the relative utility of each data type in each cell, enabling an integrative analysis of multiple modalities. We apply our procedure to a CITE-seq dataset of 211,000 human peripheral blood mononuclear cells (PBMCs) with panels extending to 228 antibodies to construct a multimodal reference atlas of the circulating immune system. Multimodal analysis substantially improves our ability to resolve cell states, allowing us to identify and validate previously unreported lymphoid subpopulations. Moreover, we demonstrate how to leverage this reference to rapidly map new datasets and to interpret immune responses to vaccination and coronavirus disease 2019 (COVID-19). Our approach represents a broadly applicable strategy to analyze single-cell multimodal datasets and to look beyond the transcriptome toward a unified and multimodal definition of cellular identity.
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              Enrichr: a comprehensive gene set enrichment analysis web server 2016 update

              Enrichment analysis is a popular method for analyzing gene sets generated by genome-wide experiments. Here we present a significant update to one of the tools in this domain called Enrichr. Enrichr currently contains a large collection of diverse gene set libraries available for analysis and download. In total, Enrichr currently contains 180 184 annotated gene sets from 102 gene set libraries. New features have been added to Enrichr including the ability to submit fuzzy sets, upload BED files, improved application programming interface and visualization of the results as clustergrams. Overall, Enrichr is a comprehensive resource for curated gene sets and a search engine that accumulates biological knowledge for further biological discoveries. Enrichr is freely available at: http://amp.pharm.mssm.edu/Enrichr.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                26 September 2022
                2022
                26 September 2022
                : 13
                : 979188
                Affiliations
                [1] 1 Department of Biochemistry and Molecular Biology, Yonsei University College of Medicine , Seoul, South Korea
                [2] 2 Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine , Seoul, South Korea
                [3] 3 Department of Medicine, Yonsei University College of Medicine , Seoul, South Korea
                [4] 4 Divison of Cardiology, Department of Internal medicine, The Catholic University of Korea, Uijeongbu St. Mary’s Hospital , Seoul, South Korea
                [5] 5 Catholic Research Institute for Intractable Cardiovascular Disease (CRID), College of Medicine, The Catholic University of Korea , Seoul, South Korea
                [6] 6 Department of Hospital Pathology, Uijeongbu St. Mary’s Hospital, College of Medicine, The Catholic University of Korea , Seoul, South Korea
                [7] 7 Department of Radiology, Kyung Hee University Medical Center , Seoul, South Korea
                [8] 8 Severance Biomedical Science Institute, Gangnam Severance Hospital, Yonsei University College of Medicine , Seoul, South Korea
                Author notes

                Edited by: Madhusudhanan Narasimhan, University of Texas Southwestern Medical Center, United States

                Reviewed by: Ahmed N. Hegazy, Charité Universitätsmedizin Berlin, Germany; Darrell O. Ricke, Massachusetts Institute of Technology, United States; Kyoko Imanaka-Yoshida, Mie University, Japan

                *Correspondence: Bo Kyung Yoon, yoonbbk89@ 123456yuhs.ac ; Hyo-Suk Ahn, alaco0502@ 123456gmail.com ; Sungsoon Fang, sfang@ 123456yuhs.ac

                †These authors have equally contributed equally to this work

                This article was submitted to Vaccines and Molecular Therapeutics, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2022.979188
                9549039
                36225942
                64d5111e-5a0f-43ab-8d43-c3e266b5399c
                Copyright © 2022 Hwang, Huh, Bu, Seo, Kwon, Kim, Yoon, Ahn and Fang

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 27 June 2022
                : 08 September 2022
                Page count
                Figures: 7, Tables: 0, Equations: 0, References: 62, Pages: 18, Words: 7926
                Funding
                Funded by: National Research Foundation , doi 10.13039/501100001321;
                Categories
                Immunology
                Original Research

                Immunology
                coronavirus - covid-19,single-cell rna sequencing,monocyte - macrophage,vaccination,bnt162b2,myocarditis,transcriptome (rna-seq)

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