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      Molecular characterization and functional analysis of tartrate-resistant acid phosphatase (ACP5) gene in red drum (Sciaenops ocellatus)

      , , , , , , ,
      Fish & Shellfish Immunology
      Elsevier BV

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          PUVA-induced repigmentation of vitiligo: scanning electron microscopy of hair follicles.

          PUVA-i-duced repigmentation of vitiligo was studied using both the split-dopa reaction and scanning electron microscopy. Proliferation of hypertrophic, Dopa-positive melanocytes were observed in the lower portion of some hair follicles, whereas other giant melanocytes were observed along the middle portion. The existence of a melanocyte reservoir in human hair follicles is postulated.
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            SWISS-MODEL: An automated protein homology-modeling server.

            T. Schwede (2003)
            SWISS-MODEL (http://swissmodel.expasy.org) is a server for automated comparative modeling of three-dimensional (3D) protein structures. It pioneered the field of automated modeling starting in 1993 and is the most widely-used free web-based automated modeling facility today. In 2002 the server computed 120 000 user requests for 3D protein models. SWISS-MODEL provides several levels of user interaction through its World Wide Web interface: in the 'first approach mode' only an amino acid sequence of a protein is submitted to build a 3D model. Template selection, alignment and model building are done completely automated by the server. In the 'alignment mode', the modeling process is based on a user-defined target-template alignment. Complex modeling tasks can be handled with the 'project mode' using DeepView (Swiss-PdbViewer), an integrated sequence-to-structure workbench. All models are sent back via email with a detailed modeling report. WhatCheck analyses and ANOLEA evaluations are provided optionally. The reliability of SWISS-MODEL is continuously evaluated in the EVA-CM project. The SWISS-MODEL server is under constant development to improve the successful implementation of expert knowledge into an easy-to-use server.
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              Bone acid phosphatase: tartrate-resistant acid phosphatase as a marker of osteoclast function.

              S. Minkin (1982)
              Organ cultures of newborn mouse calvaria were used to test the hypothesis that tartrate-resistant acid phosphatase might serve as a biochemical marker for osteoclast function. When bone resorption was stimulated in vitro with either parathyroid hormone or 1,25(OH)2D3, there was a significant increase in both tartrate-resistant and tartrate-sensitivity acid phosphatase activity in the medium relative to cultured controls. Tartrate-resistant activity was localized histochemically primarily over the osteoclast and appeared as three distinct activity bands when electrophoresed on polyacrylamide gels. The tartrate-sensitive activity was found primarily associated with bone cells other than the osteoclast using histochemical techniques, and was resolved into five bands on polyacrylamide gels. The results obtained from biochemical assays, histochemical observations, and polyacrylamide gel electrophoresis suggest that bone resorption in vitro results in the release of tartrate-resistant acid phosphatase from osteoclasts and tartrate-sensitive acid phosphatase from other bone cells as well as osteoclasts. Tartrate-resistant acid phosphatases of bone may be suitable biochemical probes for osteoclasts function, but it will be necessary to achieve further purification in order to develop analytical methods with sufficient sensitivity and specificity (e.g., immunochemical) to ensure precise localization and quantitation.
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                Author and article information

                Journal
                Fish & Shellfish Immunology
                Fish & Shellfish Immunology
                Elsevier BV
                10504648
                January 2023
                January 2023
                : 132
                : 108495
                Article
                10.1016/j.fsi.2022.108495
                aeacf470-8d20-4f0f-86c9-51d63abd83cf
                © 2023

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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