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Single-cell RNA sequencing of human kidney

A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney,...

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Autores principales: Liao, Jinling, Yu, Zhenyuan, Chen, Yang, Bao, Mengying, Zou, Chunlin, Zhang, Haiying, Liu, Deyun, Li, Tianyu, Zhang, Qingyun, Li, Jiaping, Cheng, Jiwen, Mo, Zengnan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940381/
https://www.ncbi.nlm.nih.gov/pubmed/31896769
http://dx.doi.org/10.1038/s41597-019-0351-8
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author Liao, Jinling
Yu, Zhenyuan
Chen, Yang
Bao, Mengying
Zou, Chunlin
Zhang, Haiying
Liu, Deyun
Li, Tianyu
Zhang, Qingyun
Li, Jiaping
Cheng, Jiwen
Mo, Zengnan
author_facet Liao, Jinling
Yu, Zhenyuan
Chen, Yang
Bao, Mengying
Zou, Chunlin
Zhang, Haiying
Liu, Deyun
Li, Tianyu
Zhang, Qingyun
Li, Jiaping
Cheng, Jiwen
Mo, Zengnan
author_sort Liao, Jinling
collection PubMed
description A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension of the kidney and conducted single-cell RNA sequencing (scRNA-seq). Here, we present the scRNA-seq data of 23,366 high-quality cells from the kidneys of three human donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single-cell transcriptomic information, proximal tubule (PT) cells were classified into three subtypes and collecting ducts cells into two subtypes. Collectively, our data provide a reliable reference for studies on renal cell biology and kidney disease.
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spelling pubmed-69403812020-01-06 Single-cell RNA sequencing of human kidney Liao, Jinling Yu, Zhenyuan Chen, Yang Bao, Mengying Zou, Chunlin Zhang, Haiying Liu, Deyun Li, Tianyu Zhang, Qingyun Li, Jiaping Cheng, Jiwen Mo, Zengnan Sci Data Data Descriptor A comprehensive cellular anatomy of normal human kidney is crucial to address the cellular origins of renal disease and renal cancer. Some kidney diseases may be cell type-specific, especially renal tubular cells. To investigate the classification and transcriptomic information of the human kidney, we rapidly obtained a single-cell suspension of the kidney and conducted single-cell RNA sequencing (scRNA-seq). Here, we present the scRNA-seq data of 23,366 high-quality cells from the kidneys of three human donors. In this dataset, we show 10 clusters of normal human renal cells. Due to the high quality of single-cell transcriptomic information, proximal tubule (PT) cells were classified into three subtypes and collecting ducts cells into two subtypes. Collectively, our data provide a reliable reference for studies on renal cell biology and kidney disease. Nature Publishing Group UK 2020-01-02 /pmc/articles/PMC6940381/ /pubmed/31896769 http://dx.doi.org/10.1038/s41597-019-0351-8 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/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.
spellingShingle Data Descriptor
Liao, Jinling
Yu, Zhenyuan
Chen, Yang
Bao, Mengying
Zou, Chunlin
Zhang, Haiying
Liu, Deyun
Li, Tianyu
Zhang, Qingyun
Li, Jiaping
Cheng, Jiwen
Mo, Zengnan
Single-cell RNA sequencing of human kidney
title Single-cell RNA sequencing of human kidney
title_full Single-cell RNA sequencing of human kidney
title_fullStr Single-cell RNA sequencing of human kidney
title_full_unstemmed Single-cell RNA sequencing of human kidney
title_short Single-cell RNA sequencing of human kidney
title_sort single-cell rna sequencing of human kidney
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6940381/
https://www.ncbi.nlm.nih.gov/pubmed/31896769
http://dx.doi.org/10.1038/s41597-019-0351-8
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