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An era of single-cell genomics consortia
The human body consists of 37 trillion single cells represented by over 50 organs that are stitched together to make us who we are, yet we still have very little understanding about the basic units of our body: what cell types and states make up our organs both compositionally and spatially. Previou...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080593/ https://www.ncbi.nlm.nih.gov/pubmed/32929222 http://dx.doi.org/10.1038/s12276-020-0409-x |
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author | Ando, Yoshinari Kwon, Andrew Tae-Jun Shin, Jay W. |
author_facet | Ando, Yoshinari Kwon, Andrew Tae-Jun Shin, Jay W. |
author_sort | Ando, Yoshinari |
collection | PubMed |
description | The human body consists of 37 trillion single cells represented by over 50 organs that are stitched together to make us who we are, yet we still have very little understanding about the basic units of our body: what cell types and states make up our organs both compositionally and spatially. Previous efforts to profile a wide range of human cell types have been attempted by the FANTOM and GTEx consortia. Now, with the advancement in genomic technologies, profiling the human body at single-cell resolution is possible and will generate an unprecedented wealth of data that will accelerate basic and clinical research with tangible applications to future medicine. To date, several major organs have been profiled, but the challenges lie in ways to integrate single-cell genomics data in a meaningful way. In recent years, several consortia have begun to introduce harmonization and equity in data collection and analysis. Herein, we introduce existing and nascent single-cell genomics consortia, and present benefits to necessitate single-cell genomic consortia in a regional environment to achieve the universal human cell reference dataset. |
format | Online Article Text |
id | pubmed-8080593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80805932021-04-29 An era of single-cell genomics consortia Ando, Yoshinari Kwon, Andrew Tae-Jun Shin, Jay W. Exp Mol Med Review Article The human body consists of 37 trillion single cells represented by over 50 organs that are stitched together to make us who we are, yet we still have very little understanding about the basic units of our body: what cell types and states make up our organs both compositionally and spatially. Previous efforts to profile a wide range of human cell types have been attempted by the FANTOM and GTEx consortia. Now, with the advancement in genomic technologies, profiling the human body at single-cell resolution is possible and will generate an unprecedented wealth of data that will accelerate basic and clinical research with tangible applications to future medicine. To date, several major organs have been profiled, but the challenges lie in ways to integrate single-cell genomics data in a meaningful way. In recent years, several consortia have begun to introduce harmonization and equity in data collection and analysis. Herein, we introduce existing and nascent single-cell genomics consortia, and present benefits to necessitate single-cell genomic consortia in a regional environment to achieve the universal human cell reference dataset. Nature Publishing Group UK 2020-09-15 /pmc/articles/PMC8080593/ /pubmed/32929222 http://dx.doi.org/10.1038/s12276-020-0409-x Text en © The Author(s) 2020 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Ando, Yoshinari Kwon, Andrew Tae-Jun Shin, Jay W. An era of single-cell genomics consortia |
title | An era of single-cell genomics consortia |
title_full | An era of single-cell genomics consortia |
title_fullStr | An era of single-cell genomics consortia |
title_full_unstemmed | An era of single-cell genomics consortia |
title_short | An era of single-cell genomics consortia |
title_sort | era of single-cell genomics consortia |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080593/ https://www.ncbi.nlm.nih.gov/pubmed/32929222 http://dx.doi.org/10.1038/s12276-020-0409-x |
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