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      EPO does not promote interaction between the erythropoietin and beta-common receptors

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          Abstract

          A direct interaction between the erythropoietin (EPOR) and the beta-common (βc) receptors to form an Innate Repair Receptor (IRR) is controversial. On one hand, studies have shown a functional link between EPOR and βc receptor in tissue protection while others have shown no involvement of the βc receptor in tissue repair. To date there is no biophysical evidence to confirm a direct association of the two receptors either in vitro or in vivo. We investigated the existence of an interaction between the extracellular regions of EPOR and the βc receptor in silico and in vitro (either in the presence or absence of EPO or EPO-derived peptide ARA290). Although a possible interaction between EPOR and βc was suggested by our computational and genomic studies, our in vitro biophysical analysis demonstrates that the extracellular regions of the two receptors do not specifically associate. We also explored the involvement of the βc receptor gene ( Csf2rb) under anaemic stress conditions and found no requirement for the βc receptor in mice. In light of these studies, we conclude that the extracellular regions of the EPOR and the βc receptor do not directly interact and that the IRR is not involved in anaemic stress.

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          JNK1: a protein kinase stimulated by UV light and Ha-Ras that binds and phosphorylates the c-Jun activation domain.

          The ultraviolet (UV) response of mammalian cells is characterized by a rapid and selective increase in gene expression mediated by AP-1 and NF-kappa B. The effect on AP-1 transcriptional activity results, in part, from enhanced phosphorylation of the c-Jun NH2-terminal activation domain. Here, we describe the molecular cloning and characterization of JNK1, a distant relative of the MAP kinase group that is activated by dual phosphorylation at Thr and Tyr during the UV response. Significantly, Ha-Ras partially activates JNK1 and potentiates the activation caused by UV. JNK1 binds to the c-Jun transactivation domain and phosphorylates it on Ser-63 and Ser-73. Thus, JNK1 is a component of a novel signal transduction pathway that is activated by oncoproteins and UV irradiation. These properties indicate that JNK1 activation may play an important role in tumor promotion.
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            Transcribed enhancers lead waves of coordinated transcription in transitioning mammalian cells.

            Although it is generally accepted that cellular differentiation requires changes to transcriptional networks, dynamic regulation of promoters and enhancers at specific sets of genes has not been previously studied en masse. Exploiting the fact that active promoters and enhancers are transcribed, we simultaneously measured their activity in 19 human and 14 mouse time courses covering a wide range of cell types and biological stimuli. Enhancer RNAs, then messenger RNAs encoding transcription factors, dominated the earliest responses. Binding sites for key lineage transcription factors were simultaneously overrepresented in enhancers and promoters active in each cellular system. Our data support a highly generalizable model in which enhancer transcription is the earliest event in successive waves of transcriptional change during cellular differentiation or activation. Copyright © 2015, American Association for the Advancement of Science.
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              A series of PDB-related databanks for everyday needs

              We present a series of databanks (http://swift.cmbi.ru.nl/gv/facilities/) that hold information that is computationally derived from Protein Data Bank (PDB) entries and that might augment macromolecular structure studies. These derived databanks run parallel to the PDB, i.e. they have one entry per PDB entry. Several of the well-established databanks such as HSSP, PDBREPORT and PDB_REDO have been updated and/or improved. The software that creates the DSSP databank, for example, has been rewritten to better cope with π-helices. A large number of databanks have been added to aid computational structural biology; some examples are lists of residues that make crystal contacts, lists of contacting residues using a series of contact definitions or lists of residue accessibilities. PDB files are not the optimal presentation of the underlying data for many studies. We therefore made a series of databanks that hold PDB files in an easier to use or more consistent representation. The BDB databank holds X-ray PDB files with consistently represented B-factors. We also added several visualization tools to aid the users of our databanks.
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                Author and article information

                Contributors
                urmi.dhagat@unimelb.edu.au
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                20 August 2018
                20 August 2018
                2018
                : 8
                : 12457
                Affiliations
                [1 ]ISNI 0000 0004 0626 201X, GRID grid.1073.5, ACRF Rational Drug Discovery Centre, , St. Vincent’s Institute of Medical Research, ; Fitzroy, Victoria 3065 Australia
                [2 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Biochemistry and Molecular Biology, , Bio21 Molecular Science and Biotechnology Institute, University of Melbourne, ; Parkville, Victoria 3010 Australia
                [3 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Australian Centre for Blood Diseases, , Monash University, ; 99 Commercial Road, Melbourne, Victoria 3004 Australia
                [4 ]ISNI 0000 0000 9320 7537, GRID grid.1003.2, Mater Research, , University of Queensland and Metro South Health Care, ; South Brisbane, Queensland 4101 Australia
                [5 ]ISNI 0000 0000 8994 5086, GRID grid.1026.5, Centre for Cancer Biology, , SA Pathology and the University of South Australia, ; Adelaide, South Australia 5000 Australia
                Author information
                http://orcid.org/0000-0002-5650-5767
                Article
                29865
                10.1038/s41598-018-29865-x
                6102255
                30127368
                0d78463b-a682-4553-b600-7c1e07f0b013
                © The Author(s) 2018

                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
                : 24 January 2018
                : 19 July 2018
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100000925, Department of Health | National Health and Medical Research Council (NHMRC);
                Award ID: APP1071897
                Award ID: APP1036849
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000951, Cancer Council Victoria;
                Award ID: APP1122401
                Award Recipient :
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