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      Pluripotency and X chromosome dynamics revealed in pig pre-gastrulating embryos by single cell analysis

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          Abstract

          High-resolution molecular programmes delineating the cellular foundations of mammalian embryogenesis have emerged recently. Similar analysis of human embryos is limited to pre-implantation stages, since early post-implantation embryos are largely inaccessible. Notwithstanding, we previously suggested conserved principles of pig and human early development. For further insight on pluripotent states and lineage delineation, we analysed pig embryos at single cell resolution. Here we show progressive segregation of inner cell mass and trophectoderm in early blastocysts, and of epiblast and hypoblast in late blastocysts. We show that following an emergent short naive pluripotent signature in early embryos, there is a protracted appearance of a primed signature in advanced embryonic stages. Dosage compensation with respect to the X-chromosome in females is attained via X-inactivation in late epiblasts. Detailed human-pig comparison is a basis towards comprehending early human development and a foundation for further studies of human pluripotent stem cell differentiation in pig interspecies chimeras.

          Abstract

          Lineage segregation from conception to gastrulation has been mapped at the single cell level in mouse, human and monkey. Here, the authors provide a comprehensive analysis of porcine preimplantation development using single cell RNA-seq; mapping metabolic changes, X chromosome inactivation and signalling pathways.

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          Naive and primed pluripotent states.

          After maternal predetermination gives way to zygotic regulation, a ground state is established within the mammalian embryo. This tabula rasa for embryogenesis is present only transiently in the preimplantation epiblast. Here, we consider how unrestricted cells are first generated and then prepared for lineage commitment. We propose that two phases of pluripotency can be defined: naive and primed. This distinction extends to pluripotent stem cells derived from embryos or by molecular reprogramming ex vivo.
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            Classification of low quality cells from single-cell RNA-seq data

            Single-cell RNA sequencing (scRNA-seq) has broad applications across biomedical research. One of the key challenges is to ensure that only single, live cells are included in downstream analysis, as the inclusion of compromised cells inevitably affects data interpretation. Here, we present a generic approach for processing scRNA-seq data and detecting low quality cells, using a curated set of over 20 biological and technical features. Our approach improves classification accuracy by over 30 % compared to traditional methods when tested on over 5,000 cells, including CD4+ T cells, bone marrow dendritic cells, and mouse embryonic stem cells. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-0888-1) contains supplementary material, which is available to authorized users.
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              Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.

              Three distinct cell types are present within the 64-cell stage mouse blastocyst. We have investigated cellular development up to this stage using single-cell expression analysis of more than 500 cells. The 48 genes analyzed were selected in part based on a whole-embryo analysis of more than 800 transcription factors. We show that in the morula, blastomeres coexpress transcription factors specific to different lineages, but by the 64-cell stage three cell types can be clearly distinguished according to their quantitative expression profiles. We identify Id2 and Sox2 as the earliest markers of outer and inner cells, respectively. This is followed by an inverse correlation in expression for the receptor-ligand pair Fgfr2/Fgf4 in the early inner cell mass. Position and signaling events appear to precede the maturation of the transcriptional program. These results illustrate the power of single-cell expression analysis to provide insight into developmental mechanisms. The technique should be widely applicable to other biological systems. Copyright 2010 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Azim.surani@gurdon.cam.ac.uk
                Ramiro.alberio@nottingham.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                30 January 2019
                30 January 2019
                2019
                : 10
                : 500
                Affiliations
                [1 ]ISNI 0000 0004 1936 8868, GRID grid.4563.4, School of Biosciences, , University of Nottingham, ; Sutton Bonington Campus, Nottingham, LE12 5RD UK
                [2 ]ISNI 0000 0004 1936 8868, GRID grid.4563.4, School of Life Sciences, , University of Nottingham, ; Nottingham, NG7 2RD UK
                [3 ]ISNI 0000000121885934, GRID grid.5335.0, Wellcome Trust/Cancer Research UK Gurdon Institute, , University of Cambridge, ; Tennis Court Road, Cambridge, CB2 1QN UK
                [4 ]ISNI 0000000121885934, GRID grid.5335.0, Department of Physiology, Development and Neuroscience, , University of Cambridge, ; Downing Street, Cambridge, CB2 3DY UK
                [5 ]ISNI 0000000121885934, GRID grid.5335.0, Wellcome Trust Medical Research Council Stem Cell Institute, , University of Cambridge, ; Tennis Court Road, Cambridge, CB2 1QR UK
                [6 ]ISNI 0000 0001 2300 669X, GRID grid.419190.4, Present Address: Animal Reproduction Department, , National Institute for Agricultural and Food Research and Technology, ; 28040 Madrid, Spain
                [7 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Present Address: Stem Cell Engineering Group, , Australian Institute for Bioengineering and Nanotechnology, University of Queensland, ; Building 75, St Lucia, QLD 4072 Australia
                Author information
                http://orcid.org/0000-0003-4578-0189
                http://orcid.org/0000-0002-5264-0929
                http://orcid.org/0000-0001-6560-3919
                Article
                8387
                10.1038/s41467-019-08387-8
                6353908
                30700715
                80fb3300-38ab-4546-aa4a-08e3362540da
                © Crown 2019

                Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 4 June 2018
                : 4 January 2019
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