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Single cell transcriptome research in human placenta
Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development. Alterations to placental structural components are associated with various pregnancy complications. To reveal the heterogeneity among various placenta cell types in norma...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Bioscientifica Ltd
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707799/ https://www.ncbi.nlm.nih.gov/pubmed/33112783 http://dx.doi.org/10.1530/REP-20-0231 |
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author | Li, Hui Huang, Qianhui Liu, Yu Garmire, Lana X |
author_facet | Li, Hui Huang, Qianhui Liu, Yu Garmire, Lana X |
author_sort | Li, Hui |
collection | PubMed |
description | Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development. Alterations to placental structural components are associated with various pregnancy complications. To reveal the heterogeneity among various placenta cell types in normal and diseased placentas, as well as elucidate molecular interactions within a population of placental cells, a new genomics technology called single cell RNA-seq (or scRNA-seq) has been employed in the last couple of years. Here we review the principles of scRNA-seq technology, and summarize the recent human placenta studies at scRNA-seq level across gestational ages as well as in pregnancy complications, such as preterm birth and preeclampsia. We list the computational analysis platforms and resources available for the public use. Lastly, we discuss the future areas of interest for placenta single cell studies, as well as the data analytics needed to accomplish them. |
format | Online Article Text |
id | pubmed-7707799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Bioscientifica Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-77077992020-12-07 Single cell transcriptome research in human placenta Li, Hui Huang, Qianhui Liu, Yu Garmire, Lana X Reproduction Review Human placenta is a complex and heterogeneous organ interfacing between the mother and the fetus that supports fetal development. Alterations to placental structural components are associated with various pregnancy complications. To reveal the heterogeneity among various placenta cell types in normal and diseased placentas, as well as elucidate molecular interactions within a population of placental cells, a new genomics technology called single cell RNA-seq (or scRNA-seq) has been employed in the last couple of years. Here we review the principles of scRNA-seq technology, and summarize the recent human placenta studies at scRNA-seq level across gestational ages as well as in pregnancy complications, such as preterm birth and preeclampsia. We list the computational analysis platforms and resources available for the public use. Lastly, we discuss the future areas of interest for placenta single cell studies, as well as the data analytics needed to accomplish them. Bioscientifica Ltd 2020-09-22 /pmc/articles/PMC7707799/ /pubmed/33112783 http://dx.doi.org/10.1530/REP-20-0231 Text en © 2020 The authors http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Li, Hui Huang, Qianhui Liu, Yu Garmire, Lana X Single cell transcriptome research in human placenta |
title | Single cell transcriptome research in human placenta |
title_full | Single cell transcriptome research in human placenta |
title_fullStr | Single cell transcriptome research in human placenta |
title_full_unstemmed | Single cell transcriptome research in human placenta |
title_short | Single cell transcriptome research in human placenta |
title_sort | single cell transcriptome research in human placenta |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7707799/ https://www.ncbi.nlm.nih.gov/pubmed/33112783 http://dx.doi.org/10.1530/REP-20-0231 |
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