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Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq

Recently, single-cell RNA-seq technologies have been rapidly updated, leading to a revolution in biology. We previously developed Microwell-seq, a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq) method with a very simple device. Most cDNA libraries are sequenced using an exp...

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Autores principales: Lai, Shujing, Ma, Lifeng, E, Weigao, Ye, Fang, Chen, Haide, Han, Xiaoping, Guo, Guoji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396412/
https://www.ncbi.nlm.nih.gov/pubmed/32743779
http://dx.doi.org/10.1186/s13619-020-00042-8
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author Lai, Shujing
Ma, Lifeng
E, Weigao
Ye, Fang
Chen, Haide
Han, Xiaoping
Guo, Guoji
author_facet Lai, Shujing
Ma, Lifeng
E, Weigao
Ye, Fang
Chen, Haide
Han, Xiaoping
Guo, Guoji
author_sort Lai, Shujing
collection PubMed
description Recently, single-cell RNA-seq technologies have been rapidly updated, leading to a revolution in biology. We previously developed Microwell-seq, a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq) method with a very simple device. Most cDNA libraries are sequenced using an expensive Illumina platform. Here, we present the first report showing combined Microwell-seq and BGI MGISEQ2000, a less expensive sequencing platform, to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters. Moreover, we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems. These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark, low-cost strategy for high-throughput single-cell RNA study.
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spelling pubmed-73964122020-08-13 Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq Lai, Shujing Ma, Lifeng E, Weigao Ye, Fang Chen, Haide Han, Xiaoping Guo, Guoji Cell Regen Research Recently, single-cell RNA-seq technologies have been rapidly updated, leading to a revolution in biology. We previously developed Microwell-seq, a cost-effective and high-throughput single cell RNA sequencing(scRNA-seq) method with a very simple device. Most cDNA libraries are sequenced using an expensive Illumina platform. Here, we present the first report showing combined Microwell-seq and BGI MGISEQ2000, a less expensive sequencing platform, to profile the whole transcriptome of 11,883 individual mouse adult adrenal gland cells and identify 18 transcriptionally distinct clusters. Moreover, we performed a single-cell comparative analysis of human and mouse adult adrenal glands to reveal the conserved genetic networks in these mammalian systems. These results provide new insights into the sophisticated adrenal gland hierarchy and provide a benchmark, low-cost strategy for high-throughput single-cell RNA study. Springer Singapore 2020-08-03 /pmc/articles/PMC7396412/ /pubmed/32743779 http://dx.doi.org/10.1186/s13619-020-00042-8 Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://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 Research
Lai, Shujing
Ma, Lifeng
E, Weigao
Ye, Fang
Chen, Haide
Han, Xiaoping
Guo, Guoji
Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title_full Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title_fullStr Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title_full_unstemmed Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title_short Mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
title_sort mapping a mammalian adult adrenal gland hierarchy across species by microwell-seq
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396412/
https://www.ncbi.nlm.nih.gov/pubmed/32743779
http://dx.doi.org/10.1186/s13619-020-00042-8
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