Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia
Understanding the process of human placentation is important to the development of strategies for treatment of pregnancy complications. Several animal and in vitro human model systems for the general study human placentation have been used. The field has expanded rapidly over the past decades to inc...
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Frontiers Media S.A.
2022-03-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.872818/full |
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author | Sehee Choi Sehee Choi Teka Khan Teka Khan R. Michael Roberts R. Michael Roberts Danny J. Schust |
author_facet | Sehee Choi Sehee Choi Teka Khan Teka Khan R. Michael Roberts R. Michael Roberts Danny J. Schust |
author_sort | Sehee Choi |
collection | DOAJ |
description | Understanding the process of human placentation is important to the development of strategies for treatment of pregnancy complications. Several animal and in vitro human model systems for the general study human placentation have been used. The field has expanded rapidly over the past decades to include stem cell-derived approaches that mimic preclinical placental development, and these stem cell-based models have allowed us to better address the physiology and pathophysiology of normal and compromised trophoblast (TB) sublineage development. The application of transcriptomic approaches to these models has uncovered limitations that arise when studying the distinctive characteristics of the large and fragile multinucleated syncytiotrophoblast (STB), which plays a key role in fetal-maternal communication during pregnancy. The extension of these technologies to induced pluripotent stem cells (iPSCs) is just now being reported and will allow, for the first time, a reproducible and robust approach to the study of the developmental underpinnings of late-manifesting diseases such as preeclampsia (PE) and intrauterine growth retardation in a manner that is patient- and disease-specific. Here, we will first focus on the application of various RNA-seq technologies to TB, prior limitations in fully accessing the STB transcriptome, and recent leveraging of single nuclei RNA sequencing (snRNA-seq) technology to improve our understanding of the STB transcriptome. Next, we will discuss new stem-cell derived models that allow for disease- and patient-specific study of pregnancy disorders, with a focus on the study of STB developmental abnormalities in PE that combine snRNA-seq approaches and these new in vitro models. |
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issn | 1664-8021 |
language | English |
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publishDate | 2022-03-01 |
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series | Frontiers in Genetics |
spelling | doaj.art-9d56a4f98b22481399a9844fdeee39832022-12-22T00:05:20ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-03-011310.3389/fgene.2022.872818872818Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in PreeclampsiaSehee Choi0Sehee Choi1Teka Khan2Teka Khan3R. Michael Roberts4R. Michael Roberts5Danny J. Schust6Department of Obstetrics, Gynecology and Women’s Health, University of Missouri School of Medicine, Columbia, MO, United StatesChristopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, United StatesChristopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, United StatesDivision of Animal Sciences, University of Missouri, Columbia, MO, United StatesChristopher S Bond Life Sciences Center, University of Missouri, Columbia, MO, United StatesDivision of Animal Sciences, University of Missouri, Columbia, MO, United StatesDepartment of Obstetrics, Gynecology and Women’s Health, University of Missouri School of Medicine, Columbia, MO, United StatesUnderstanding the process of human placentation is important to the development of strategies for treatment of pregnancy complications. Several animal and in vitro human model systems for the general study human placentation have been used. The field has expanded rapidly over the past decades to include stem cell-derived approaches that mimic preclinical placental development, and these stem cell-based models have allowed us to better address the physiology and pathophysiology of normal and compromised trophoblast (TB) sublineage development. The application of transcriptomic approaches to these models has uncovered limitations that arise when studying the distinctive characteristics of the large and fragile multinucleated syncytiotrophoblast (STB), which plays a key role in fetal-maternal communication during pregnancy. The extension of these technologies to induced pluripotent stem cells (iPSCs) is just now being reported and will allow, for the first time, a reproducible and robust approach to the study of the developmental underpinnings of late-manifesting diseases such as preeclampsia (PE) and intrauterine growth retardation in a manner that is patient- and disease-specific. Here, we will first focus on the application of various RNA-seq technologies to TB, prior limitations in fully accessing the STB transcriptome, and recent leveraging of single nuclei RNA sequencing (snRNA-seq) technology to improve our understanding of the STB transcriptome. Next, we will discuss new stem-cell derived models that allow for disease- and patient-specific study of pregnancy disorders, with a focus on the study of STB developmental abnormalities in PE that combine snRNA-seq approaches and these new in vitro models.https://www.frontiersin.org/articles/10.3389/fgene.2022.872818/fullsyncytiotrophoblastsingle nuclei RNA sequencingtrophoblastpreeclampsiastem celltrophoblast models |
spellingShingle | Sehee Choi Sehee Choi Teka Khan Teka Khan R. Michael Roberts R. Michael Roberts Danny J. Schust Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia Frontiers in Genetics syncytiotrophoblast single nuclei RNA sequencing trophoblast preeclampsia stem cell trophoblast models |
title | Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia |
title_full | Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia |
title_fullStr | Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia |
title_full_unstemmed | Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia |
title_short | Leveraging Optimized Transcriptomic and Personalized Stem Cell Technologies to Better Understand Syncytialization Defects in Preeclampsia |
title_sort | leveraging optimized transcriptomic and personalized stem cell technologies to better understand syncytialization defects in preeclampsia |
topic | syncytiotrophoblast single nuclei RNA sequencing trophoblast preeclampsia stem cell trophoblast models |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.872818/full |
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