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Advances in single-cell sequencing: insights from organ transplantation

Single-cell RNA sequencing (scRNA-seq) is a comprehensive technical tool to analyze intracellular and intercellular interaction data by whole transcriptional profile analysis. Here, we describe the application in biomedical research, focusing on the immune system during organ transplantation and rej...

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Detalles Bibliográficos
Autores principales: Wang, Ying, Wang, Jian-Ye, Schnieke, Angelika, Fischer, Konrad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361611/
https://www.ncbi.nlm.nih.gov/pubmed/34389057
http://dx.doi.org/10.1186/s40779-021-00336-1
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author Wang, Ying
Wang, Jian-Ye
Schnieke, Angelika
Fischer, Konrad
author_facet Wang, Ying
Wang, Jian-Ye
Schnieke, Angelika
Fischer, Konrad
author_sort Wang, Ying
collection PubMed
description Single-cell RNA sequencing (scRNA-seq) is a comprehensive technical tool to analyze intracellular and intercellular interaction data by whole transcriptional profile analysis. Here, we describe the application in biomedical research, focusing on the immune system during organ transplantation and rejection. Unlike conventional transcriptome analysis, this method provides a full map of multiple cell populations in one specific tissue and presents a dynamic and transient unbiased method to explore the progression of allograft dysfunction, starting from the stress response to final graft failure. This promising sequencing technology remarkably improves individualized organ rejection treatment by identifying decisive cellular subgroups and cell-specific interactions.
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spelling pubmed-83616112021-08-16 Advances in single-cell sequencing: insights from organ transplantation Wang, Ying Wang, Jian-Ye Schnieke, Angelika Fischer, Konrad Mil Med Res Review Single-cell RNA sequencing (scRNA-seq) is a comprehensive technical tool to analyze intracellular and intercellular interaction data by whole transcriptional profile analysis. Here, we describe the application in biomedical research, focusing on the immune system during organ transplantation and rejection. Unlike conventional transcriptome analysis, this method provides a full map of multiple cell populations in one specific tissue and presents a dynamic and transient unbiased method to explore the progression of allograft dysfunction, starting from the stress response to final graft failure. This promising sequencing technology remarkably improves individualized organ rejection treatment by identifying decisive cellular subgroups and cell-specific interactions. BioMed Central 2021-08-13 /pmc/articles/PMC8361611/ /pubmed/34389057 http://dx.doi.org/10.1186/s40779-021-00336-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Wang, Ying
Wang, Jian-Ye
Schnieke, Angelika
Fischer, Konrad
Advances in single-cell sequencing: insights from organ transplantation
title Advances in single-cell sequencing: insights from organ transplantation
title_full Advances in single-cell sequencing: insights from organ transplantation
title_fullStr Advances in single-cell sequencing: insights from organ transplantation
title_full_unstemmed Advances in single-cell sequencing: insights from organ transplantation
title_short Advances in single-cell sequencing: insights from organ transplantation
title_sort advances in single-cell sequencing: insights from organ transplantation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361611/
https://www.ncbi.nlm.nih.gov/pubmed/34389057
http://dx.doi.org/10.1186/s40779-021-00336-1
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