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      A new structural framework for integrating replication protein A into DNA processing machinery

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          Abstract

          By coupling the protection and organization of single-stranded DNA (ssDNA) with recruitment and alignment of DNA processing factors, replication protein A (RPA) lies at the heart of dynamic multi-protein DNA processing machinery. Nevertheless, how RPA coordinates biochemical functions of its eight domains remains unknown. We examined the structural biochemistry of RPA’s DNA-binding activity, combining small-angle X-ray and neutron scattering with all-atom molecular dynamics simulations to investigate the architecture of RPA’s DNA-binding core. The scattering data reveal compaction promoted by DNA binding; DNA-free RPA exists in an ensemble of states with inter-domain mobility and becomes progressively more condensed and less dynamic on binding ssDNA. Our results contrast with previous models proposing RPA initially binds ssDNA in a condensed state and becomes more extended as it fully engages the substrate. Moreover, the consensus view that RPA engages ssDNA in initial, intermediate and final stages conflicts with our data revealing that RPA undergoes two (not three) transitions as it binds ssDNA with no evidence for a discrete intermediate state. These results form a framework for understanding how RPA integrates the ssDNA substrate into DNA processing machinery, provides substrate access to its binding partners and promotes the progression and selection of DNA processing pathways.

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          Most cited references70

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          Determination of domain structure of proteins from X-ray solution scattering.

          An ab initio method for building structural models of proteins from x-ray solution scattering data is presented. Simulated annealing is employed to find a chain-compatible spatial distribution of dummy residues which fits the experimental scattering pattern up to a resolution of 0.5 nm. The efficiency of the method is illustrated by the ab initio reconstruction of models of several proteins, with known and unknown crystal structure, from experimental scattering data. The new method substantially improves the resolution and reliability of models derived from scattering data and makes solution scattering a useful technique in large-scale structural characterization of proteins.
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            Replication protein A: a heterotrimeric, single-stranded DNA-binding protein required for eukaryotic DNA metabolism.

            M S Wold (1997)
            Replication protein A [RPA; also known as replication factor A (RFA) and human single-stranded DNA-binding protein] is a single-stranded DNA-binding protein that is required for multiple processes in eukaryotic DNA metabolism, including DNA replication, DNA repair, and recombination. RPA homologues have been identified in all eukaryotic organisms examined and are all abundant heterotrimeric proteins composed of subunits of approximately 70, 30, and 14 kDa. Members of this family bind nonspecifically to single-stranded DNA and interact with and/or modify the activities of multiple proteins. In cells, RPA is phosphorylated by DNA-dependent protein kinase when RPA is bound to single-stranded DNA (during S phase and after DNA damage). Phosphorylation of RPA may play a role in coordinating DNA metabolism in the cell. RPA may also have a role in modulating gene expression.
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              Robust, high-throughput solution structural analyses by small angle X-ray scattering (SAXS)

              We present an efficient pipeline enabling high-throughput analysis of protein structure in solution with small angle X-ray scattering (SAXS). Our SAXS pipeline combines automated sample handling of microliter volumes, temperature and anaerobic control, rapid data collection, data analysis, and couples structural analysis with automated archiving. We subjected 50 representative proteins, mostly from Pyrococcus furiosus, to this pipeline, revealing that 30 were multimeric structures in solution. SAXS analysis allowed us to distinguish aggregated and unfolded proteins, define global structural parameters and oligomeric states for most samples, identify shapes and similar structures for 25 unknown structures, and determine envelopes for 41 proteins. We believe that high throughput SAXS is an enabling technology that may change the way that structural genomics research is done.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                February 2013
                7 January 2013
                7 January 2013
                : 41
                : 4
                : 2313-2327
                Affiliations
                1Department of Biochemistry, Center for Structural Biology, Vanderbilt University, Nashville, TN 37232, USA, 2Department of Chemistry, Georgia State University, Atlanta, GA 30302-4098, USA, 3Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA, 4Center for Structural Molecular Biology, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA, 5Biology & Soft Matter Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee 37831, USA, 6Department of Molecular Biology, The Scripps Research Institute, La Jolla, CA 92037, USA, 7The Skaggs Institute for Chemical Biology, La Jolla, CA 92037, USA and 8Department of Chemistry, Vanderbilt University, Nashville, TN 37232, USA
                Author notes
                *To whom correspondence should be addressed. Tel: 1+ 615 936 2210; Fax: 1+ 615 936 2211; Email: walter.chazin@ 123456vanderbilt.edu
                Correspondence may also be addressed to Ivaylo Ivanov. Tel: 1+ 404 413 5529; Fax: 1+ 404 413 5505; Email: iivanov@ 123456gsu.edu

                Present address: Chris A. Brosey, Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. Louis, MO 63110, USA.

                Article
                gks1332
                10.1093/nar/gks1332
                3575853
                23303776
                84e33b7f-abee-4b20-bc0c-2223c66ff290
                © The Author(s) 2013. Published by Oxford University Press.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com.

                History
                : 5 September 2012
                : 26 November 2012
                : 27 November 2012
                Page count
                Pages: 15
                Categories
                Genome Integrity, Repair and Replication

                Genetics
                Genetics

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