Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney

Abstract Kidney development requires the coordinated growth and differentiation of multiple cells. Despite recent single cell profiles in nephrogenesis research, tools for data analysis are rapidly developing, and offer an opportunity to gain additional insight into kidney development. In this study...

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Autores principales: Isao Matsui, Ayumi Matsumoto, Kazunori Inoue, Yusuke Katsuma, Seiichi Yasuda, Karin Shimada, Yusuke Sakaguchi, Masayuki Mizui, Jun-ya Kaimori, Yoshitsugu Takabatake, Yoshitaka Isaka
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1f92504ed6e74bb4924e347b60ba43ee
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spelling oai:doaj.org-article:1f92504ed6e74bb4924e347b60ba43ee2021-12-02T11:56:23ZSingle cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney10.1038/s41598-020-80154-y2045-2322https://doaj.org/article/1f92504ed6e74bb4924e347b60ba43ee2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-80154-yhttps://doaj.org/toc/2045-2322Abstract Kidney development requires the coordinated growth and differentiation of multiple cells. Despite recent single cell profiles in nephrogenesis research, tools for data analysis are rapidly developing, and offer an opportunity to gain additional insight into kidney development. In this study, single-cell RNA sequencing data obtained from embryonic mouse kidney were re-analyzed. Manifold learning based on partition-based graph-abstraction coordinated cells, reflecting their expected lineage relationships. Consequently, the coordination in combination with ForceAtlas2 enabled the inference of parietal epithelial cells of Bowman’s capsule and the inference of cells involved in the developmental process from the S-shaped body to each nephron segment. RNA velocity suggested developmental sequences of proximal tubules and podocytes. In combination with a Markov chain algorithm, RNA velocity suggested the self-renewal processes of nephron progenitors. NicheNet analyses suggested that not only cells belonging to ureteric bud and stroma, but also endothelial cells, macrophages, and pericytes may contribute to the differentiation of cells from nephron progenitors. Organ culture of embryonic mouse kidney demonstrated that nerve growth factor, one of the nephrogenesis-related factors inferred by NicheNet, contributed to mitochondrial biogenesis in developing distal tubules. These approaches suggested previously unrecognized aspects of the underlying mechanisms for kidney development.Isao MatsuiAyumi MatsumotoKazunori InoueYusuke KatsumaSeiichi YasudaKarin ShimadaYusuke SakaguchiMasayuki MizuiJun-ya KaimoriYoshitsugu TakabatakeYoshitaka IsakaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Isao Matsui
Ayumi Matsumoto
Kazunori Inoue
Yusuke Katsuma
Seiichi Yasuda
Karin Shimada
Yusuke Sakaguchi
Masayuki Mizui
Jun-ya Kaimori
Yoshitsugu Takabatake
Yoshitaka Isaka
Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
description Abstract Kidney development requires the coordinated growth and differentiation of multiple cells. Despite recent single cell profiles in nephrogenesis research, tools for data analysis are rapidly developing, and offer an opportunity to gain additional insight into kidney development. In this study, single-cell RNA sequencing data obtained from embryonic mouse kidney were re-analyzed. Manifold learning based on partition-based graph-abstraction coordinated cells, reflecting their expected lineage relationships. Consequently, the coordination in combination with ForceAtlas2 enabled the inference of parietal epithelial cells of Bowman’s capsule and the inference of cells involved in the developmental process from the S-shaped body to each nephron segment. RNA velocity suggested developmental sequences of proximal tubules and podocytes. In combination with a Markov chain algorithm, RNA velocity suggested the self-renewal processes of nephron progenitors. NicheNet analyses suggested that not only cells belonging to ureteric bud and stroma, but also endothelial cells, macrophages, and pericytes may contribute to the differentiation of cells from nephron progenitors. Organ culture of embryonic mouse kidney demonstrated that nerve growth factor, one of the nephrogenesis-related factors inferred by NicheNet, contributed to mitochondrial biogenesis in developing distal tubules. These approaches suggested previously unrecognized aspects of the underlying mechanisms for kidney development.
format article
author Isao Matsui
Ayumi Matsumoto
Kazunori Inoue
Yusuke Katsuma
Seiichi Yasuda
Karin Shimada
Yusuke Sakaguchi
Masayuki Mizui
Jun-ya Kaimori
Yoshitsugu Takabatake
Yoshitaka Isaka
author_facet Isao Matsui
Ayumi Matsumoto
Kazunori Inoue
Yusuke Katsuma
Seiichi Yasuda
Karin Shimada
Yusuke Sakaguchi
Masayuki Mizui
Jun-ya Kaimori
Yoshitsugu Takabatake
Yoshitaka Isaka
author_sort Isao Matsui
title Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
title_short Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
title_full Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
title_fullStr Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
title_full_unstemmed Single cell RNA sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
title_sort single cell rna sequencing uncovers cellular developmental sequences and novel potential intercellular communications in embryonic kidney
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1f92504ed6e74bb4924e347b60ba43ee
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