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      Uterine Selection of Human Embryos at Implantation

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          Abstract

          Human embryos frequently harbor large-scale complex chromosomal errors that impede normal development. Affected embryos may fail to implant although many first breach the endometrial epithelium and embed in the decidualizing stroma before being rejected via mechanisms that are poorly understood. Here we show that developmentally impaired human embryos elicit an endoplasmic stress response in human decidual cells. A stress response was also evident upon in vivo exposure of mouse uteri to culture medium conditioned by low-quality human embryos. By contrast, signals emanating from developmentally competent embryos activated a focused gene network enriched in metabolic enzymes and implantation factors. We further show that trypsin, a serine protease released by pre-implantation embryos, elicits Ca 2+ signaling in endometrial epithelial cells. Competent human embryos triggered short-lived oscillatory Ca 2+ fluxes whereas low-quality embryos caused a heightened and prolonged Ca 2+ response. Thus, distinct positive and negative mechanisms contribute to active selection of human embryos at implantation.

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          Most cited references32

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          Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.

          Y. H. Yang (2002)
          There are many sources of systematic variation in cDNA microarray experiments which affect the measured gene expression levels (e.g. differences in labeling efficiency between the two fluorescent dyes). The term normalization refers to the process of removing such variation. A constant adjustment is often used to force the distribution of the intensity log ratios to have a median of zero for each slide. However, such global normalization approaches are not adequate in situations where dye biases can depend on spot overall intensity and/or spatial location within the array. This article proposes normalization methods that are based on robust local regression and account for intensity and spatial dependence in dye biases for different types of cDNA microarray experiments. The selection of appropriate controls for normalization is discussed and a novel set of controls (microarray sample pool, MSP) is introduced to aid in intensity-dependent normalization. Lastly, to allow for comparisons of expression levels across slides, a robust method based on maximum likelihood estimation is proposed to adjust for scale differences among slides.
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            Recurrent miscarriage.

            Many human conceptions are genetically abnormal and end in miscarriage, which is the commonest complication of pregnancy. Recurrent miscarriage, the loss of three or more consecutive pregnancies, affects 1% of couples trying to conceive. It is associated with psychological morbidity, and has often proven to be frustrating for both patient and clinician. A third of women attending specialist clinics are clinically depressed, and one in five have levels of anxiety that are similar to those in psychiatric outpatient populations. Many conventional beliefs about the cause and treatment of women with recurrent miscarriage have not withstood scrutiny, but progress has been made. Research has emphasised the importance of recurrent miscarriage in the range of reproductive failure linking subfertility and late pregnancy complications and has allowed us to reject practice based on anecdotal evidence in favour of evidence-based management.
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              Chaperone-mediated autophagy: a unique way to enter the lysosome world.

              All cellular proteins undergo continuous synthesis and degradation. This permanent renewal is necessary to maintain a functional proteome and to allow rapid changes in levels of specific proteins with regulatory purposes. Although for a long time lysosomes were considered unable to contribute to the selective degradation of individual proteins, the discovery of chaperone-mediated autophagy (CMA) changed this notion. Here, we review the characteristics that set CMA apart from other types of lysosomal degradation and the subset of molecules that confer cells the capability to identify individual cytosolic proteins and direct them across the lysosomal membrane for degradation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group
                2045-2322
                06 February 2014
                2014
                : 4
                : 3894
                Affiliations
                [1 ]Division of Reproductive Health, Warwick Medical School, Clinical Sciences Research Laboratories, University Hospital , Coventry CV2 2DX, UK
                [2 ]Institute of Reproductive and Developmental Biology, Imperial College London, Hammersmith Hospital , London W12 ONN, UK
                [3 ]Department for Reproductive Medicine and Gynecology, University Medical Center Utrecht , PO Box 85500, 3508 GA, Utrecht, The Netherlands
                [4 ]Warwick Systems Biology Centre, University of Warwick , Coventry CV4 7AL, UK
                [5 ]Department of Physiology and Immunology, Medical School, University of Rijeka , Braće Branchetta 20, 51000 Rijeka, Croatia
                [6 ]Molecular Cancer Research, University Medical Center Utrecht , PO Box 85500, 3508 GA, Utrecht, The Netherlands
                [7 ]Division of Developmental Origins of Adult Diseases (DOHaD), University of Southampton , Coxford Road, Southampton SO16 5YA, UK
                Author notes
                Article
                srep03894
                10.1038/srep03894
                3915549
                24503642
                84d3e0a2-fa4c-42bb-9338-c70e56fd415a
                Copyright © 2014, Macmillan Publishers Limited. All rights reserved

                This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

                History
                : 02 October 2013
                : 08 January 2014
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