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Liver in infections: a single-cell and spatial transcriptomics perspective

The liver is an immune organ that plays a vital role in the detection, capture, and clearance of pathogens and foreign antigens that invade the human body. During acute and chronic infections, the liver transforms from a tolerant to an active immune state. The defence mechanism of the liver mainly d...

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Autores principales: Zou, Ju, Li, Jie, Zhong, Xiao, Tang, Daolin, Fan, Xuegong, Chen, Ruochan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332047/
https://www.ncbi.nlm.nih.gov/pubmed/37430371
http://dx.doi.org/10.1186/s12929-023-00945-z
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author Zou, Ju
Li, Jie
Zhong, Xiao
Tang, Daolin
Fan, Xuegong
Chen, Ruochan
author_facet Zou, Ju
Li, Jie
Zhong, Xiao
Tang, Daolin
Fan, Xuegong
Chen, Ruochan
author_sort Zou, Ju
collection PubMed
description The liver is an immune organ that plays a vital role in the detection, capture, and clearance of pathogens and foreign antigens that invade the human body. During acute and chronic infections, the liver transforms from a tolerant to an active immune state. The defence mechanism of the liver mainly depends on a complicated network of intrahepatic and translocated immune cells and non-immune cells. Therefore, a comprehensive liver cell atlas in both healthy and diseased states is needed for new therapeutic target development and disease intervention improvement. With the development of high-throughput single-cell technology, we can now decipher heterogeneity, differentiation, and intercellular communication at the single-cell level in sophisticated organs and complicated diseases. In this concise review, we aimed to summarise the advancement of emerging high-throughput single-cell technologies and re-define our understanding of liver function towards infections, including hepatitis B virus, hepatitis C virus, Plasmodium, schistosomiasis, endotoxemia, and corona virus disease 2019 (COVID-19). We also unravel previously unknown pathogenic pathways and disease mechanisms for the development of new therapeutic targets. As high-throughput single-cell technologies mature, their integration into spatial transcriptomics, multiomics, and clinical data analysis will aid in patient stratification and in developing effective treatment plans for patients with or without liver injury due to infectious diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12929-023-00945-z.
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spelling pubmed-103320472023-07-11 Liver in infections: a single-cell and spatial transcriptomics perspective Zou, Ju Li, Jie Zhong, Xiao Tang, Daolin Fan, Xuegong Chen, Ruochan J Biomed Sci Review The liver is an immune organ that plays a vital role in the detection, capture, and clearance of pathogens and foreign antigens that invade the human body. During acute and chronic infections, the liver transforms from a tolerant to an active immune state. The defence mechanism of the liver mainly depends on a complicated network of intrahepatic and translocated immune cells and non-immune cells. Therefore, a comprehensive liver cell atlas in both healthy and diseased states is needed for new therapeutic target development and disease intervention improvement. With the development of high-throughput single-cell technology, we can now decipher heterogeneity, differentiation, and intercellular communication at the single-cell level in sophisticated organs and complicated diseases. In this concise review, we aimed to summarise the advancement of emerging high-throughput single-cell technologies and re-define our understanding of liver function towards infections, including hepatitis B virus, hepatitis C virus, Plasmodium, schistosomiasis, endotoxemia, and corona virus disease 2019 (COVID-19). We also unravel previously unknown pathogenic pathways and disease mechanisms for the development of new therapeutic targets. As high-throughput single-cell technologies mature, their integration into spatial transcriptomics, multiomics, and clinical data analysis will aid in patient stratification and in developing effective treatment plans for patients with or without liver injury due to infectious diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12929-023-00945-z. BioMed Central 2023-07-10 /pmc/articles/PMC10332047/ /pubmed/37430371 http://dx.doi.org/10.1186/s12929-023-00945-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Zou, Ju
Li, Jie
Zhong, Xiao
Tang, Daolin
Fan, Xuegong
Chen, Ruochan
Liver in infections: a single-cell and spatial transcriptomics perspective
title Liver in infections: a single-cell and spatial transcriptomics perspective
title_full Liver in infections: a single-cell and spatial transcriptomics perspective
title_fullStr Liver in infections: a single-cell and spatial transcriptomics perspective
title_full_unstemmed Liver in infections: a single-cell and spatial transcriptomics perspective
title_short Liver in infections: a single-cell and spatial transcriptomics perspective
title_sort liver in infections: a single-cell and spatial transcriptomics perspective
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10332047/
https://www.ncbi.nlm.nih.gov/pubmed/37430371
http://dx.doi.org/10.1186/s12929-023-00945-z
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