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    Expression pattern of the epithelial V‐like antigen (Eva) transcript suggests a possible role in placental morphogenesis

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    Adhesive mechanisms are considered to be of crucial importance for blastocyst adherence to the uterine wall, as well as for the interactions between embryonal and decidual tissues during hemochorial placenta formation. Epithelial V-like Antigen (Eva) is a novel homophilic adhesion molecule of the immunoglobulin superfamily, which during mouse embryonic development is expressed by various differentiating epithelia. In the present paper we describe Eva expression during mouse trophoblast invasion and placental morphogenesis, analysing day 5.5 to 18.5 postcoitum (p.c.) placentas and deciduomas by in situ hybridization. Eva transcripts were detected in spongiotrophoblast cells from 7.5 to 18.5 days p.c. Expression was uniform at early stages, but after day 11.5, p.c. became limited to the invasive subpopulation of spongiotrophoblasts (known as glycogen cells). Trophoblast giant cells did not express Eva in any of the stages analysed. Besides trophoblasts, also early postimplantation decidua was positive for Eva transcripts. In decidual tissue, Eva expression was present at day 5.5 p.c., peaked at day 7.5 p.c., and declined on successive days. The expression pattern of Eva transcripts suggests that during mouse placenta formation, its protein product may play a role in the processes of trophoblast invasion, decidual response, and trophoblast-decidual interaction

    Immunopathology of the eye: purification of canine retinal "S" antigen

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    Canine retinal S antigen has been purified to study the retinal progressive atrophy of the dog. The purified antigen will be used to detect, by the ELISA technique, specific autoantibody in dogs with ocular diseases

    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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