29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Single Cell RNA Sequencing in Autoimmune Inflammatory Rheumatic Diseases: Current Applications, Challenges and a Step Toward Precision Medicine

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Single cell RNA sequencing (scRNA-seq) represents a new large scale and high throughput technique allowing analysis of the whole transcriptome at the resolution of an individual cell. It has emerged as an imperative method in life science research, uncovering complex cellular networks and providing indices that will eventually lead to the development of more targeted and personalized therapies. The importance of scRNA-seq has been particularly highlighted through the analysis of complex biological systems, in which cellular heterogeneity is a key aspect, such as the immune system. Autoimmune inflammatory rheumatic diseases represent a group of disorders, associated with a dysregulated immune system and high patient heterogeneity in both pathophysiological and clinical aspects. This complicates the complete understanding of underlying pathological mechanisms, associated with limited therapeutic options available and their long-term inefficiency and even toxicity. There is an unmet need to investigate, in depth, the cellular and molecular mechanisms driving the pathogenesis of rheumatic diseases and drug resistance, identify novel therapeutic targets, as well as make a step forward in using stratified and informed therapeutic decisions, which could now be achieved with the use of single cell approaches. This review summarizes the current use of scRNA-seq in studying different rheumatic diseases, based on recent findings from published in vitro, in vivo, and clinical studies, as well as discusses the potential implementation of scRNA-seq in the development of precision medicine in rheumatology.

          Related collections

          Most cited references121

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Massively parallel digital transcriptional profiling of single cells

          Characterizing the transcriptome of individual cells is fundamental to understanding complex biological systems. We describe a droplet-based system that enables 3′ mRNA counting of tens of thousands of single cells per sample. Cell encapsulation, of up to 8 samples at a time, takes place in ∼6 min, with ∼50% cell capture efficiency. To demonstrate the system's technical performance, we collected transcriptome data from ∼250k single cells across 29 samples. We validated the sensitivity of the system and its ability to detect rare populations using cell lines and synthetic RNAs. We profiled 68k peripheral blood mononuclear cells to demonstrate the system's ability to characterize large immune populations. Finally, we used sequence variation in the transcriptome data to determine host and donor chimerism at single-cell resolution from bone marrow mononuclear cells isolated from transplant patients.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.

            Cells, the basic units of biological structure and function, vary broadly in type and state. Single-cell genomics can characterize cell identity and function, but limitations of ease and scale have prevented its broad application. Here we describe Drop-seq, a strategy for quickly profiling thousands of individual cells by separating them into nanoliter-sized aqueous droplets, associating a different barcode with each cell's RNAs, and sequencing them all together. Drop-seq analyzes mRNA transcripts from thousands of individual cells simultaneously while remembering transcripts' cell of origin. We analyzed transcriptomes from 44,808 mouse retinal cells and identified 39 transcriptionally distinct cell populations, creating a molecular atlas of gene expression for known retinal cell classes and novel candidate cell subtypes. Drop-seq will accelerate biological discovery by enabling routine transcriptional profiling at single-cell resolution. VIDEO ABSTRACT.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Diagnosis, Treatment, and Long-Term Management of Kawasaki Disease: A Scientific Statement for Health Professionals From the American Heart Association

              Kawasaki disease is an acute vasculitis of childhood that leads to coronary artery aneurysms in ≈25% of untreated cases. It has been reported worldwide and is the leading cause of acquired heart disease in children in developed countries.
                Bookmark

                Author and article information

                Contributors
                Journal
                Front Med (Lausanne)
                Front Med (Lausanne)
                Front. Med.
                Frontiers in Medicine
                Frontiers Media S.A.
                2296-858X
                18 January 2022
                2021
                : 8
                : 822804
                Affiliations
                [1] 1Faculty of Medicine, Institute of Cell Biology, University of Ljubljana , Ljubljana, Slovenia
                [2] 2Department of Rheumatology, University Medical Centre Ljubljana , Ljubljana, Slovenia
                [3] 3Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska , Koper, Slovenia
                [4] 4Faculty of Medicine, Institute for Biostatistics and Medical Informatics/ELIXIR-SI Center, University of Ljubljana , Ljubljana, Slovenia
                Author notes

                Edited by: Garifallia Sakellariou, University of Pavia, Italy

                Reviewed by: Alvise Berti, Santa Chiara Hospital, Italy; Marcia Alwina Friedman, Oregon Health and Science University, United States

                *Correspondence: Polonca Ferk polonca.ferk@ 123456mf.uni-lj.si

                This article was submitted to Rheumatology, a section of the journal Frontiers in Medicine

                Article
                10.3389/fmed.2021.822804
                8804286
                35118101
                6f87d6ce-97ee-4e9b-902e-ece18914aedc
                Copyright © 2022 Kuret, Sodin-Šemrl, Leskošek and Ferk.

                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
                : 26 November 2021
                : 27 December 2021
                Page count
                Figures: 1, Tables: 4, Equations: 0, References: 122, Pages: 18, Words: 14763
                Funding
                Funded by: Javna Agencija za Raziskovalno Dejavnost RS, doi 10.13039/501100004329;
                Categories
                Medicine
                Review

                single cell,rna sequencing,rheumatoid arthritis,systemic lupus erythematosus,systemic sclerosis,precision medicine

                Comments

                Comment on this article