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Elias Castanas

Researcher at University of Crete

Publications -  211
Citations -  10660

Elias Castanas is an academic researcher from University of Crete. The author has contributed to research in topics: Receptor & Cancer. The author has an hindex of 45, co-authored 206 publications receiving 9367 citations. Previous affiliations of Elias Castanas include Pierre-and-Marie-Curie University & National and Kapodistrian University of Athens.

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The Therapeutic Potential of the Essential Oil of Thymbra capitata (L.) Cav., Origanum dictamnus L. and Salvia fruticosa Mill. And a Case of Plant-Based Pharmaceutical Development.

TL;DR: A specific example of the use of a combination of the essential oils of these plants as an effective anti-viral product is presented and the experience gained in a case of a plant-based pharmaceutical development, by presenting the major steps and the continuum of the translational chain.
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Neuronal differentiation of PC12 cells abolishes the expression of membrane androgen receptors.

TL;DR: Neuronal differentiation of chromaffin cells results in a significant attenuation of these effects, via suppression of the expression of membrane androgen receptors suggesting, that the latter are specific for epithelioid chromAffin cells.
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κ1-Opioid binding sites are the dominant opioid binding sites in surgical specimens of human pheochromocytomas and in a human pheochromocytoma (KAT45) cell line

TL;DR: The findings for the surgical specimens and the cell line combined with previously published pharmacological data obtained from KAT45 cells suggest that kappa sites appear to be the most prevalent opioid binding sites in pheochromocytomas, which is in contrast to normal bovine adrenals, which contains mainly delta sites and few kappa-opioid binding sites.
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Protein measurement of particulate and solubilized ovine liver membranes.

TL;DR: It is suggested that the direct biuret method (whenever protein concentrations permit it) or the method of Lowry after solubilization of membranes with Triton X-100 (3–5%) should be used preferentially for the determination of membrane protein samples.
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A data driven approach reveals disease similarity on a molecular level.

TL;DR: A method for computing similarities between empirical, statistical distributions of high-dimensional, low-sample datasets is developed and applied to hundreds of public -omics datasets stemming from different studies, creating a network of diseases whose statistical molecular patterns are similar.