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Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases
Recent technical advances have enabled unbiased transcriptomic and epigenetic analysis of each cell, known as “single-cell analysis”. Single-cell analysis has a variety of technical approaches to investigate the state of each cell, including mRNA levels (transcriptome), the immune repertoire (immune...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society for Molecular and Cellular Biology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982059/ https://www.ncbi.nlm.nih.gov/pubmed/36859476 http://dx.doi.org/10.14348/molcells.2023.0002 |
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author | Jung, Seyoung Lee, Jeong Seok |
author_facet | Jung, Seyoung Lee, Jeong Seok |
author_sort | Jung, Seyoung |
collection | PubMed |
description | Recent technical advances have enabled unbiased transcriptomic and epigenetic analysis of each cell, known as “single-cell analysis”. Single-cell analysis has a variety of technical approaches to investigate the state of each cell, including mRNA levels (transcriptome), the immune repertoire (immune repertoire analysis), cell surface proteins (surface proteome analysis), chromatin accessibility (epigenome), and accordance with genome variants (eQTLs; expression quantitative trait loci). As an effective tool for investigating robust immune responses in coronavirus disease 2019 (COVID-19), many researchers performed single-cell analysis to capture the diverse, unbiased immune cell activation and differentiation. Despite challenges elucidating the complicated immune microenvironments of chronic inflammatory diseases using existing experimental methods, it is now possible to capture the simultaneous immune features of different cell types across inflamed tissues using various single-cell tools. In this review, we introduce patient-based and experimental mouse model research utilizing single-cell analyses in the field of chronic inflammatory diseases, as well as multi-organ atlas targeting immune cells. |
format | Online Article Text |
id | pubmed-9982059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korean Society for Molecular and Cellular Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-99820592023-03-04 Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases Jung, Seyoung Lee, Jeong Seok Mol Cells Minireview Recent technical advances have enabled unbiased transcriptomic and epigenetic analysis of each cell, known as “single-cell analysis”. Single-cell analysis has a variety of technical approaches to investigate the state of each cell, including mRNA levels (transcriptome), the immune repertoire (immune repertoire analysis), cell surface proteins (surface proteome analysis), chromatin accessibility (epigenome), and accordance with genome variants (eQTLs; expression quantitative trait loci). As an effective tool for investigating robust immune responses in coronavirus disease 2019 (COVID-19), many researchers performed single-cell analysis to capture the diverse, unbiased immune cell activation and differentiation. Despite challenges elucidating the complicated immune microenvironments of chronic inflammatory diseases using existing experimental methods, it is now possible to capture the simultaneous immune features of different cell types across inflamed tissues using various single-cell tools. In this review, we introduce patient-based and experimental mouse model research utilizing single-cell analyses in the field of chronic inflammatory diseases, as well as multi-organ atlas targeting immune cells. Korean Society for Molecular and Cellular Biology 2023-02-28 2023-02-22 /pmc/articles/PMC9982059/ /pubmed/36859476 http://dx.doi.org/10.14348/molcells.2023.0002 Text en © The Korean Society for Molecular and Cellular Biology. All rights reserved. https://creativecommons.org/licenses/by-nc-sa/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ (https://creativecommons.org/licenses/by-nc-sa/3.0/) |
spellingShingle | Minireview Jung, Seyoung Lee, Jeong Seok Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title | Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title_full | Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title_fullStr | Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title_full_unstemmed | Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title_short | Single-Cell Genomics for Investigating Pathogenesis of Inflammatory Diseases |
title_sort | single-cell genomics for investigating pathogenesis of inflammatory diseases |
topic | Minireview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9982059/ https://www.ncbi.nlm.nih.gov/pubmed/36859476 http://dx.doi.org/10.14348/molcells.2023.0002 |
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