A differentiation roadmap of murine placentation at single-cell resolution
Abstract The placenta is one of the most important yet least understood organs. Due to the limitations of conventional research approaches, we are still far from a comprehensive understanding of mouse placentation, especially regarding the differentiation of trophoblast lineages at the early develop...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Publishing Group
2023-03-01
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Series: | Cell Discovery |
Online Access: | https://doi.org/10.1038/s41421-022-00513-z |
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author | Xiangxiang Jiang Yue Wang Zhenyu Xiao Long Yan Shanshan Guo Yiming Wang Hao Wu Xuehan Zhao Xiaoyin Lu Hongmei Wang |
author_facet | Xiangxiang Jiang Yue Wang Zhenyu Xiao Long Yan Shanshan Guo Yiming Wang Hao Wu Xuehan Zhao Xiaoyin Lu Hongmei Wang |
author_sort | Xiangxiang Jiang |
collection | DOAJ |
description | Abstract The placenta is one of the most important yet least understood organs. Due to the limitations of conventional research approaches, we are still far from a comprehensive understanding of mouse placentation, especially regarding the differentiation of trophoblast lineages at the early developmental stage. To decipher cell compositions and developmental processes, we systematically profile the single-cell transcriptomes of trophoblast cells from extraembryonic tissues (embryonic day 7.5 (E7.5) and E8.5) and placentae (E9.5–E14.5) at one-day intervals. We identify distinct trophoblast cell types during mouse placentation, including unreported progenitor cells and intermediate precursor cells. An updated differentiation roadmap of mouse trophoblast lineages is presented following systematic transcriptome analyses. Based on transcriptomic regulatory network inference, we specify transcription factors responsible for the regulation of dynamic developmental processes during lineage diversification. We map lineage differentiation trajectories and find that sinusoid trophoblast giant cells arise from the subpopulation of ectoplacental cone cells. We provide a comprehensive single-cell data resource to shed light on future mechanistic studies of the gene regulatory networks governing hemochorial placentation. |
first_indexed | 2024-04-09T23:10:55Z |
format | Article |
id | doaj.art-91ac6940f401443394fb0c6ba7426ce3 |
institution | Directory Open Access Journal |
issn | 2056-5968 |
language | English |
last_indexed | 2024-04-09T23:10:55Z |
publishDate | 2023-03-01 |
publisher | Nature Publishing Group |
record_format | Article |
series | Cell Discovery |
spelling | doaj.art-91ac6940f401443394fb0c6ba7426ce32023-03-22T10:23:53ZengNature Publishing GroupCell Discovery2056-59682023-03-019112310.1038/s41421-022-00513-zA differentiation roadmap of murine placentation at single-cell resolutionXiangxiang Jiang0Yue Wang1Zhenyu Xiao2Long Yan3Shanshan Guo4Yiming Wang5Hao Wu6Xuehan Zhao7Xiaoyin Lu8Hongmei Wang9State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesDepartment of Experimental Radiation Oncology, The University of Texas MD Anderson Cancer CenterState Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of SciencesAbstract The placenta is one of the most important yet least understood organs. Due to the limitations of conventional research approaches, we are still far from a comprehensive understanding of mouse placentation, especially regarding the differentiation of trophoblast lineages at the early developmental stage. To decipher cell compositions and developmental processes, we systematically profile the single-cell transcriptomes of trophoblast cells from extraembryonic tissues (embryonic day 7.5 (E7.5) and E8.5) and placentae (E9.5–E14.5) at one-day intervals. We identify distinct trophoblast cell types during mouse placentation, including unreported progenitor cells and intermediate precursor cells. An updated differentiation roadmap of mouse trophoblast lineages is presented following systematic transcriptome analyses. Based on transcriptomic regulatory network inference, we specify transcription factors responsible for the regulation of dynamic developmental processes during lineage diversification. We map lineage differentiation trajectories and find that sinusoid trophoblast giant cells arise from the subpopulation of ectoplacental cone cells. We provide a comprehensive single-cell data resource to shed light on future mechanistic studies of the gene regulatory networks governing hemochorial placentation.https://doi.org/10.1038/s41421-022-00513-z |
spellingShingle | Xiangxiang Jiang Yue Wang Zhenyu Xiao Long Yan Shanshan Guo Yiming Wang Hao Wu Xuehan Zhao Xiaoyin Lu Hongmei Wang A differentiation roadmap of murine placentation at single-cell resolution Cell Discovery |
title | A differentiation roadmap of murine placentation at single-cell resolution |
title_full | A differentiation roadmap of murine placentation at single-cell resolution |
title_fullStr | A differentiation roadmap of murine placentation at single-cell resolution |
title_full_unstemmed | A differentiation roadmap of murine placentation at single-cell resolution |
title_short | A differentiation roadmap of murine placentation at single-cell resolution |
title_sort | differentiation roadmap of murine placentation at single cell resolution |
url | https://doi.org/10.1038/s41421-022-00513-z |
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