1,721,015 research outputs found

    Isolation of amniotic epithelial stem cells

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    Many of the cell types that can be isolated from placental tissues retain phenotypic plasticity that makes them an interesting source of cells for regenerative medicine. Several procedures for the isolation of stem cells from different parts of the placenta have been reported. This unit describes a detailed and simple protocol for the selective isolation of amniotic epithelial cells from human term placenta without disturbing the mesenchymal layer. We also introduce a simple density separation technique for the enrichment of the population for SSEA-4 positive cells

    Isolation of amniotic mesenchymal stem cells

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    Mesenchymal stem cells (MSCs) have the ability to differentiate into osteocytes, chondrocytes, and adipocytes and possess immunomodulatory properties. Amniotic membrane from human term placenta is a potential source of multipotent MSCs that could be useful for regenerative medicine. This unit describes a detailed and simple protocol for the isolation of amniotic mesenchymal cells. We also introduce a simple density separation technique for the purification of this cell type from possible contamination with amniotic epithelial cells

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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