Single-cell genomics to understand disease pathogenesis

Cells are minimal functional units in biological phenomena, and therefore single-cell analysis is needed to understand the molecular behavior leading to cellular function in organisms. In addition, omics analysis technology can be used to identify essential molecular mechanisms in an unbiased manner...

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Detalles Bibliográficos
Autor principal: Nomura, Seitaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728598/
https://www.ncbi.nlm.nih.gov/pubmed/32951011
http://dx.doi.org/10.1038/s10038-020-00844-3
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author Nomura, Seitaro
author_facet Nomura, Seitaro
author_sort Nomura, Seitaro
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description Cells are minimal functional units in biological phenomena, and therefore single-cell analysis is needed to understand the molecular behavior leading to cellular function in organisms. In addition, omics analysis technology can be used to identify essential molecular mechanisms in an unbiased manner. Recently, single-cell genomics has unveiled hidden molecular systems leading to disease pathogenesis in patients. In this review, I summarize the recent advances in single-cell genomics for the understanding of disease pathogenesis and discuss future perspectives.
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spelling pubmed-77285982020-12-17 Single-cell genomics to understand disease pathogenesis Nomura, Seitaro J Hum Genet Review Article Cells are minimal functional units in biological phenomena, and therefore single-cell analysis is needed to understand the molecular behavior leading to cellular function in organisms. In addition, omics analysis technology can be used to identify essential molecular mechanisms in an unbiased manner. Recently, single-cell genomics has unveiled hidden molecular systems leading to disease pathogenesis in patients. In this review, I summarize the recent advances in single-cell genomics for the understanding of disease pathogenesis and discuss future perspectives. Springer Singapore 2020-09-19 2021 /pmc/articles/PMC7728598/ /pubmed/32951011 http://dx.doi.org/10.1038/s10038-020-00844-3 Text en © The Author(s) 2020 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Review Article
Nomura, Seitaro
Single-cell genomics to understand disease pathogenesis
title Single-cell genomics to understand disease pathogenesis
title_full Single-cell genomics to understand disease pathogenesis
title_fullStr Single-cell genomics to understand disease pathogenesis
title_full_unstemmed Single-cell genomics to understand disease pathogenesis
title_short Single-cell genomics to understand disease pathogenesis
title_sort single-cell genomics to understand disease pathogenesis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7728598/
https://www.ncbi.nlm.nih.gov/pubmed/32951011
http://dx.doi.org/10.1038/s10038-020-00844-3
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