1,721,033 research outputs found
Different fibronectin concentrations in plasma samples drawn from the affected and unaffected arms of a pagetic patient.
No full textLocalization of acetylcholinesterase in normal human fibroblasts and a human fibrosarcoma cell line.
No full textA modified histochemical procedure was used to detect specific acetylcholinesterase localization in cultured human cells. Enzymic activity was found in cytoplasm in the perinuclear zone and in the plasma membrane of 20% to 40% of HT-1080 human fibrosarcoma cells. The presence of pseudocholinesterase was excluded using specific substrates and inhibitors. A role for AChE in tumorogenesis is hypothesise
Altered fibronectin distribution in cultured fibroblasts from patients with Ehlers-Danlos syndrome.
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Detection of tenascin-C in surgically excised choroidal neovascular membranes.
No full textIncrease of tenascin-C (TN-C) expression has been found in pathologic tissues in which angiogenesis occurs. The aim of this study was to investigate TN-C expression in human choroidal neovascularization (CNV)
Assignment of the gene for human tenascin to the region q32-q34 of chromosome 9
No full textTenascin (TN) is a hexameric extracellular matrix glycoprotein that is highly expressed in solid tumors but has a restricted distribution in normal adult tissues. Each TN subunit is composed of segments with high homology to the sequences of epidermal growth factor, fibronectin and fibrinogen. Furthermore, it has been suggested that TN could modulate epithelial-mesenchymal and neuronal-glial interactions. Here, using a cDNA probe to human TN, we have carried out Southern blot analysis of the genomic DNAs from a panel of human-hamster somatic cell hybrids carrying different complements of human chromosomes. The results demonstrate that the human TN gene is located on chromosome 9. Furthermore, in situ hybridization studies demonstrate that human TN is located at 9q32-q34
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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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