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Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney

BACKGROUND: Research on spatiotemporal gene landscape can provide insights into the spatial characteristics of human kidney development and facilitate kidney organoid cultivation. Here, we profiled the spatiotemporal gene programs of the human embryonic kidneys at 9 and 18 post-conception weeks (PCW...

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Autores principales: Wu, Hongwei, Liu, Fanna, Shangguan, Yu, Yang, Yane, Shi, Wei, Hu, Wenlong, Zeng, Zhipeng, Hu, Nan, Zhang, Xinzhou, Hocher, Berthold, Tang, Donge, Yin, Lianghong, Dai, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164720/
https://www.ncbi.nlm.nih.gov/pubmed/35659756
http://dx.doi.org/10.1186/s13578-022-00801-x
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author Wu, Hongwei
Liu, Fanna
Shangguan, Yu
Yang, Yane
Shi, Wei
Hu, Wenlong
Zeng, Zhipeng
Hu, Nan
Zhang, Xinzhou
Hocher, Berthold
Tang, Donge
Yin, Lianghong
Dai, Yong
author_facet Wu, Hongwei
Liu, Fanna
Shangguan, Yu
Yang, Yane
Shi, Wei
Hu, Wenlong
Zeng, Zhipeng
Hu, Nan
Zhang, Xinzhou
Hocher, Berthold
Tang, Donge
Yin, Lianghong
Dai, Yong
author_sort Wu, Hongwei
collection PubMed
description BACKGROUND: Research on spatiotemporal gene landscape can provide insights into the spatial characteristics of human kidney development and facilitate kidney organoid cultivation. Here, we profiled the spatiotemporal gene programs of the human embryonic kidneys at 9 and 18 post-conception weeks (PCW) by integrating the application of microarray-based spatial transcriptomics and single-cell transcriptomics. RESULTS: We mapped transcriptomic signatures of scRNA-seq cell types upon the 9 and 18 PCW kidney sections based on cell-type deconvolution and multimodal intersection analyses, depicting a spatial landscape of developing cell subpopulations. We established the gene characteristics in the medullary regions and revealed a strong mitochondrial oxidative phosphorylation and glycolysis activity in the deeper medullary region. We also built a regulatory network centered on GDNF-ETV4 for nephrogenic niche development based on the weighted gene co-expression network analysis and highlighted the key roles of Wnt, FGF, and JAG1-Notch2 signaling in maintaining renal branching morphogenesis. CONCLUSIONS: Our findings obtained by this spatiotemporal gene program are expected to improve the current understanding of kidney development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-022-00801-x.
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spelling pubmed-91647202022-06-05 Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney Wu, Hongwei Liu, Fanna Shangguan, Yu Yang, Yane Shi, Wei Hu, Wenlong Zeng, Zhipeng Hu, Nan Zhang, Xinzhou Hocher, Berthold Tang, Donge Yin, Lianghong Dai, Yong Cell Biosci Research BACKGROUND: Research on spatiotemporal gene landscape can provide insights into the spatial characteristics of human kidney development and facilitate kidney organoid cultivation. Here, we profiled the spatiotemporal gene programs of the human embryonic kidneys at 9 and 18 post-conception weeks (PCW) by integrating the application of microarray-based spatial transcriptomics and single-cell transcriptomics. RESULTS: We mapped transcriptomic signatures of scRNA-seq cell types upon the 9 and 18 PCW kidney sections based on cell-type deconvolution and multimodal intersection analyses, depicting a spatial landscape of developing cell subpopulations. We established the gene characteristics in the medullary regions and revealed a strong mitochondrial oxidative phosphorylation and glycolysis activity in the deeper medullary region. We also built a regulatory network centered on GDNF-ETV4 for nephrogenic niche development based on the weighted gene co-expression network analysis and highlighted the key roles of Wnt, FGF, and JAG1-Notch2 signaling in maintaining renal branching morphogenesis. CONCLUSIONS: Our findings obtained by this spatiotemporal gene program are expected to improve the current understanding of kidney development. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13578-022-00801-x. BioMed Central 2022-06-03 /pmc/articles/PMC9164720/ /pubmed/35659756 http://dx.doi.org/10.1186/s13578-022-00801-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Wu, Hongwei
Liu, Fanna
Shangguan, Yu
Yang, Yane
Shi, Wei
Hu, Wenlong
Zeng, Zhipeng
Hu, Nan
Zhang, Xinzhou
Hocher, Berthold
Tang, Donge
Yin, Lianghong
Dai, Yong
Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title_full Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title_fullStr Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title_full_unstemmed Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title_short Integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
title_sort integrating spatial transcriptomics with single-cell transcriptomics reveals a spatiotemporal gene landscape of the human developing kidney
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9164720/
https://www.ncbi.nlm.nih.gov/pubmed/35659756
http://dx.doi.org/10.1186/s13578-022-00801-x
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