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      The human RNA polymerase I structure reveals an HMG-like docking domain specific to metazoans

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          Abstract

          We characterize the human RNA polymerase I by evolutionary biochemistry and cryo-EM revealing a built-in structural domain that apparently serves as transcription factor–binding platform in metazoans.

          Abstract

          Transcription of the ribosomal RNA precursor by RNA polymerase (Pol) I is a major determinant of cellular growth, and dysregulation is observed in many cancer types. Here, we present the purification of human Pol I from cells carrying a genomic GFP fusion on the largest subunit allowing the structural and functional analysis of the enzyme across species. In contrast to yeast, human Pol I carries a single-subunit stalk, and in vitro transcription indicates a reduced proofreading activity. Determination of the human Pol I cryo-EM reconstruction in a close-to-native state rationalizes the effects of disease-associated mutations and uncovers an additional domain that is built into the sequence of Pol I subunit RPA1. This “dock II” domain resembles a truncated HMG box incapable of DNA binding which may serve as a downstream transcription factor–binding platform in metazoans. Biochemical analysis, in situ modelling, and ChIP data indicate that Topoisomerase 2a can be recruited to Pol I via the domain and cooperates with the HMG box domain–containing factor UBF. These adaptations of the metazoan Pol I transcription system may allow efficient release of positive DNA supercoils accumulating downstream of the transcription bubble.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading.

            AutoDock Vina, a new program for molecular docking and virtual screening, is presented. AutoDock Vina achieves an approximately two orders of magnitude speed-up compared with the molecular docking software previously developed in our lab (AutoDock 4), while also significantly improving the accuracy of the binding mode predictions, judging by our tests on the training set used in AutoDock 4 development. Further speed-up is achieved from parallelism, by using multithreading on multicore machines. AutoDock Vina automatically calculates the grid maps and clusters the results in a way transparent to the user. Copyright 2009 Wiley Periodicals, Inc.
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              <i>Coot</i> : model-building tools for molecular graphics

              Acta Crystallographica Section D Biological Crystallography, 60(12), 2126-2132
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                Author and article information

                Contributors
                Role: Data curationRole: Formal analysisRole: InvestigationRole: VisualizationRole: MethodologyRole: Writing—review and editing
                Role: InvestigationRole: VisualizationRole: Methodology
                Role: ValidationRole: InvestigationRole: VisualizationRole: Methodology
                Role: Investigation
                Role: Investigation
                Role: Investigation
                Role: InvestigationRole: Visualization
                Role: InvestigationRole: Visualization
                Role: Methodology
                Role: InvestigationRole: Visualization
                Role: Methodology
                Role: Investigation
                Role: SupervisionRole: Methodology
                Role: SupervisionRole: Methodology
                Role: Investigation
                Role: ValidationRole: InvestigationRole: Visualization
                Role: SupervisionRole: Validation
                Role: Formal analysisRole: SupervisionRole: ValidationRole: Visualization
                Role: ConceptualizationRole: Formal analysisRole: SupervisionRole: Funding acquisitionRole: ValidationRole: InvestigationRole: VisualizationRole: Writing—original draft, review, and editing
                Journal
                Life Sci Alliance
                Life Sci Alliance
                lsa
                lsa
                Life Science Alliance
                Life Science Alliance LLC
                2575-1077
                1 September 2022
                November 2022
                1 September 2022
                : 5
                : 11
                : e202201568
                Affiliations
                [1 ] Regensburg Center for Biochemistry, University of Regensburg, Regensburg, Germany
                [2 ] Division of Structural Biology, The Institute of Cancer Research, London, UK
                [3 ] Biofisika Institute (CSIC, UPV/EHU), Leioa, Spain
                [4 ] IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
                [5 ] Fondazione Human Technopole, Structural Biology Research Centre, Milan, Italy
                [6 ] Institute of Science and Technology, Klosterneuburg, Austria
                [7 ] Department of Molecular Biology, Medical Biochemistry and Pathology, Faculty of Medicine, Laval University, Quebec, Canada
                [8 ] Laboratory of Growth and Development, St-Patrick Research Group in Basic Oncology, Cancer Division of the Quebec University Hospital Research Centre, Québec, Canada
                [9 ] Borden Laboratory, IRIC, Université de Montréal, Montréal, Québec, Canada
                [10 ] Protein Crystallography, Department of Biophysics, Faculty of Biology and Biotechnology, Ruhr University Bochum, Bochum, Germany
                [11 ] Université de Strasbourg, CNRS, INSERM, Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), Department of Integrated Structural Biology, Illkirch, France
                [12 ] Hôpitaux Universitaires de Strasbourg, Strasbourg, France
                [13 ] School of Biological Sciences and PGJCCR, Queen’s University Belfast, Belfast, UK
                Author notes
                Author information
                https://orcid.org/0000-0002-0863-9840
                https://orcid.org/0000-0002-3934-1131
                https://orcid.org/0000-0002-6805-5927
                https://orcid.org/0000-0001-6082-2944
                https://orcid.org/0000-0003-1375-7814
                https://orcid.org/0000-0003-2047-4783
                https://orcid.org/0000-0001-8451-3599
                Article
                LSA-2022-01568
                10.26508/lsa.202201568
                9438803
                36271492
                bc9171ab-acc7-4cdd-ac39-554c7418def2
                © 2022 Daiß et al.

                This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).

                History
                : 22 December 2021
                : 20 June 2022
                : 9 August 2022
                Funding
                Funded by: Emmy-Noether Programm;
                Award ID: EN 1204/1-1
                Award Recipient :
                Funded by: German Research Council and Collaborative Research Center 960;
                Award ID: TP-A8
                Award Recipient :
                Categories
                Research Article
                Research Articles

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