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      Wireless control of cellular function by activation of a novel protein responsive to electromagnetic fields

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          Abstract

          The Kryptopterus bicirrhis (glass catfish) is known to respond to electromagnetic fields (EMF). Here we tested its avoidance behavior in response to static and alternating magnetic fields stimulation. Using expression cloning we identified an electromagnetic perceptive gene ( EPG) from the K. bicirrhis encoding a protein that responds to EMF. This EPG gene was cloned and expressed in mammalian cells, neuronal cultures and in rat’s brain. Immunohistochemistry showed that the expression of EPG is confined to the mammalian cell membrane. Calcium imaging in mammalian cells and cultured neurons expressing EPG demonstrated that remote activation by EMF significantly increases intracellular calcium concentrations, indicative of cellular excitability. Moreover, wireless magnetic activation of EPG in rat motor cortex induced motor evoked responses of the contralateral forelimb in vivo. Here we report on the development of a new technology for remote, non-invasive modulation of cell function.

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          Most cited references60

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          MUSCLE: multiple sequence alignment with high accuracy and high throughput.

          R. C. Edgar (2004)
          We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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            Pfam: the protein families database

            Robert D. Finn, Alex Bateman, Jody Clements … (2013)
            Pfam, available via servers in the UK (http://pfam.sanger.ac.uk/) and the USA (http://pfam.janelia.org/), is a widely used database of protein families, containing 14 831 manually curated entries in the current release, version 27.0. Since the last update article 2 years ago, we have generated 1182 new families and maintained sequence coverage of the UniProt Knowledgebase (UniProtKB) at nearly 80%, despite a 50% increase in the size of the underlying sequence database. Since our 2012 article describing Pfam, we have also undertaken a comprehensive review of the features that are provided by Pfam over and above the basic family data. For each feature, we determined the relevance, computational burden, usage statistics and the functionality of the feature in a website context. As a consequence of this review, we have removed some features, enhanced others and developed new ones to meet the changing demands of computational biology. Here, we describe the changes to Pfam content. Notably, we now provide family alignments based on four different representative proteome sequence data sets and a new interactive DNA search interface. We also discuss the mapping between Pfam and known 3D structures.
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              EMBOSS: The European Molecular Biology Open Software Suite

              Peter A. Rice, Ian Longden, Alan Bleasby (2000)
              Article 0 comments Cited 775 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                Assaf A. Gilad: gilad@msu.edu
                Galit Pelled: pelledga@msu.edu
                Journal
                Journal ID (nlm-ta): Sci Rep
                Journal ID (iso-abbrev): Sci Rep
                Title: Scientific Reports
                Publisher: Nature Publishing Group UK (London )
                ISSN (Electronic): 2045-2322
                Publication date (Electronic): 8 June 2018
                Publication date PMC-release: 8 June 2018
                Publication date Collection: 2018
                Volume: 8
                Electronic Location Identifier: 8764
                Affiliations
                [1 ]ISNI 0000 0004 0427 667X, GRID grid.240023.7, F.M. Kirby Research Center for Functional Brain Imaging, , Kennedy Krieger Institute, ; Baltimore, Maryland 21205 USA
                [2 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Russell H. Morgan Department of Radiology, , Johns Hopkins University School of Medicine, ; Baltimore, Maryland 21205 USA
                [3 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Institute for Cell Engineering, , Johns Hopkins University School of Medicine, ; Baltimore, Maryland 21205 USA
                [4 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Physiology, , Johns Hopkins University School of Medicine, ; Baltimore, Maryland 21205 USA
                [5 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Otolaryngology, , Johns Hopkins University School of Medicine, ; Baltimore, Maryland 21205 USA
                [6 ]ISNI 0000 0001 2171 9311, GRID grid.21107.35, Department of Physical Medicine and Rehabilitation, , The Johns Hopkins University School of Medicine, ; Baltimore, Maryland 21287 USA
                [7 ]ISNI 0000 0004 0427 667X, GRID grid.240023.7, Department of Neurology, , Kennedy Krieger Institute, ; Baltimore, Maryland 21205 USA
                [8 ]ISNI 0000 0001 2150 1785, GRID grid.17088.36, Department of Biomedical Engineering, , Michigan State University, ; East Lansing, Michigan 48823 USA
                [9 ]ISNI 0000 0001 2150 1785, GRID grid.17088.36, The Institute of Quantitative Health Science and Engineering, , Michigan State University, ; East Lansing, Michigan 48823 USA
                [10 ]ISNI 0000 0001 2150 1785, GRID grid.17088.36, Department of Radiology, , Michigan State University, ; East Lansing, Michigan 48823 USA
                Author information
                http://orcid.org/0000-0001-5979-1255
                http://orcid.org/0000-0003-4543-6273
                Article
                Publisher ID: 27087
                DOI: 10.1038/s41598-018-27087-9
                PMC ID: 5993716
                PubMed ID: 29884813
                SO-VID: 8abb673e-3ca3-49c6-8939-821a91a6ea04
                Copyright © © The Author(s) 2018
                License:

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                Date received : 15 January 2018
                Date accepted : 24 May 2018
                Categories
                Subject: Article
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                issue-copyright-statement © The Author(s) 2018

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