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      Dissecting human trophoblast cell transcriptional heterogeneity in preeclampsia using single‐cell RNA sequencing

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          Abstract

          Objective

          PE is a pregnancy‐specific syndrome that affects 3%–5% of pregnant women. It often presents as new‐onset hypertension and proteinuria during the third trimester. PE progresses rapidly and may lead to serious complications, including the death of both mother and fetus. In low‐income countries, PE is one of the main causes of maternal and child mortality. While the cause of PE is still debated, clinical and pathological studies suggest that the placenta plays an important role in the pathogenesis of PE.

          Materials and Methods

          In this single‐cell RNA‐sequencing (RNA‐seq) study, the placenta was taken from the designated position after cesarean section. We compared placental cell subsets and their transcriptional heterogeneity between preeclampsia and healthy pregnancies using the single‐cell RNA‐seq technology. A developmental trajectory of human trophoblasts was shown.

          Results

          Gene expression in endoplasmic reticulum signaling pathways in syncytiotrophoblast was upregulated in the PE group. The villi cytotrophoblasts (VCT) and extravillous trophoblasts were mainly involved in immune responses.

          Conclusion

          The placental immune function of patients with PE was altered. Proteasomes, spliceosomes, ribosomes, and mitochondria were abnormally active in the new VCT cell type.

          Abstract

          This information has enriched our understanding of the human placenta and broadened our understanding of the molecular functions of the human placenta in the diseased state. These findings will be helpful in the future discovery of new molecular markers and the discovery of drugs for the treatment of the disease.

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          Most cited references35

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          clusterProfiler: an R package for comparing biological themes among gene clusters.

          Increasing quantitative data generated from transcriptomics and proteomics require integrative strategies for analysis. Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans, mice, and yeast. Methods provided in this package can be easily extended to other species and ontologies. The clusterProfiler package is released under Artistic-2.0 License within Bioconductor project. The source code and vignette are freely available at http://bioconductor.org/packages/release/bioc/html/clusterProfiler.html.
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            Reversed graph embedding resolves complex single-cell trajectories

            Single-cell trajectories can unveil how gene regulation governs cell fate decisions. However, learning the structure of complex trajectories with two or more branches remains a challenging computational problem. We present Monocle 2, which uses reversed graph embedding to describe multiple fate decisions in a fully unsupervised manner. Applied to two studies of blood development, Monocle 2 revealed that mutations in key lineage transcription factors diverts cells to alternative fates.
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              Single-cell reconstruction of the early maternal–fetal interface in humans

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                Author and article information

                Contributors
                406422461@qq.com
                Hong_Z@21cn.com
                Journal
                Mol Genet Genomic Med
                Mol Genet Genomic Med
                10.1002/(ISSN)2324-9269
                MGG3
                Molecular Genetics & Genomic Medicine
                John Wiley and Sons Inc. (Hoboken )
                2324-9269
                02 July 2021
                August 2021
                : 9
                : 8 ( doiID: 10.1002/mgg3.v9.8 )
                : e1730
                Affiliations
                [ 1 ] Department of Obstetrics and Gynecology The Second Affiliated Hospital of Soochow University Suzhou China
                [ 2 ] Department of Nephrology Weifang Traditional Chinese Hospital Weifang Shandong China
                [ 3 ] Department of Histology and Embryology Basic Medical College Weifang Medical University Weifang Shandong China
                [ 4 ] Department of Pathology Weifang Traditional Chinese Hospital Weifang Shandong China
                [ 5 ] Department of Obstetrics and Gynecology Weifang Traditional Chinese Hospital Weifang Shandong China
                [ 6 ] Department of Obstetrics and Gynecology Third Affiliated Hospital of Guangzhou Medical University Guangzhou China
                [ 7 ] Department of Obstetrics and Gynaecology The First Affiliated Hospital of Gannan Medical University Ganzhou Jiangxi China
                Author notes
                [*] [* ] Correspondence

                Hong Zhang, Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, Sanxiang Road 1055, Suzhou, China.

                Email: Hong_Z@21cn.com

                Author information
                https://orcid.org/0000-0003-3276-4809
                Article
                MGG31730
                10.1002/mgg3.1730
                8404237
                34212522
                17052f6b-77cb-40e7-82fd-dd147b813644
                © 2021 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 24 April 2021
                : 16 March 2021
                : 27 April 2021
                Page count
                Figures: 6, Tables: 1, Pages: 10, Words: 5151
                Funding
                Funded by: Key Project of Shandong Province Higher Educational Science and Technology Program
                Award ID: J18KZ013
                Funded by: Support Program for Youth Innovation technology in Colleges and Universities of Shandong Province
                Award ID: 2019KJK004
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                August 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.6 mode:remove_FC converted:30.08.2021

                extravillous trophoblasts,preeclampsia,single‐cell rna sequencing,syncytiotrophoblast,villi cytotrophoblast

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