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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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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. |
format | Online Article Text |
id | pubmed-9164720 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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