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      Intra-locked G-quadruplex structures formed by irregular DNA G-rich motifs

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          Abstract

          G-rich DNA sequences with tracts of three or more continuous guanines (G ≥3) are known to have high propensity to adopt stable G-quadruplex (G4) structures. Bioinformatic analyses suggest high prevalence of G-rich sequences with short G-tracts (G ≤2) in the human genome. However, due to limited structural studies, the folding principles of such sequences remain largely unexplored and hence poorly understood. Here, we present the solution NMR structure of a sequence named AT26 consisting of irregularly spaced G 2 tracts and two isolated single guanines. The structure is a four-layered G4 featuring two bi-layered blocks, locked between themselves in an unprecedented fashion making it a stable scaffold. In addition to edgewise and propeller-type loops, AT26 also harbors two V-shaped loops: a 2-nt V-shaped loop spanning two G-tetrad layers and a 0-nt V-shaped loop spanning three G-tetrad layers, which are named as V S- and V R-loop respectively, based on their distinct structural features. The intra-lock motif can be a basis for extending the G-tetrad core and a very stable intra-locked G4 can be formed by a sequence with G-tracts of various lengths including several G 2 tracts. Findings from this study will aid in understanding the folding of G4 topologies from sequences containing irregularly spaced multiple short G-tracts.

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          Most cited references54

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          NMRFAM-SPARKY: enhanced software for biomolecular NMR spectroscopy

          Summary: SPARKY (Goddard and Kneller, SPARKY 3) remains the most popular software program for NMR data analysis, despite the fact that development of the package by its originators ceased in 2001. We have taken over the development of this package and describe NMRFAM-SPARKY, which implements new functions reflecting advances in the biomolecular NMR field. NMRFAM-SPARKY has been repackaged with current versions of Python and Tcl/Tk, which support new tools for NMR peak simulation and graphical assignment determination. These tools, along with chemical shift predictions from the PACSY database, greatly accelerate protein side chain assignments. NMRFAM-SPARKY supports automated data format interconversion for interfacing with a variety of web servers including, PECAN , PINE, TALOS-N, CS-Rosetta, SHIFTX2 and PONDEROSA-C/S. Availability and implementation: The software package, along with binary and source codes, if desired, can be downloaded freely from http://pine.nmrfam.wisc.edu/download_packages.html. Instruction manuals and video tutorials can be found at http://www.nmrfam.wisc.edu/nmrfam-sparky-distribution.htm. Contact: whlee@nmrfam.wisc.edu or markley@nmrfam.wisc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fragile X mental retardation protein targets G quartet mRNAs important for neuronal function.

            Loss of fragile X mental retardation protein (FMRP) function causes the fragile X mental retardation syndrome. FMRP harbors three RNA binding domains, associates with polysomes, and is thought to regulate mRNA translation and/or localization, but the RNAs to which it binds are unknown. We have used RNA selection to demonstrate that the FMRP RGG box binds intramolecular G quartets. This data allowed us to identify mRNAs encoding proteins involved in synaptic or developmental neurobiology that harbor FMRP binding elements. The majority of these mRNAs have an altered polysome association in fragile X patient cells. These data demonstrate that G quartets serve as physiologically relevant targets for FMRP and identify mRNAs whose dysregulation may underlie human mental retardation.
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              Gene function correlates with potential for G4 DNA formation in the human genome

              G-rich genomic regions can form G4 DNA upon transcription or replication. We have quantified the potential for G4 DNA formation (G4P) of the 16 654 genes in the human RefSeq database, and then correlated gene function with G4P. We have found that very low and very high G4P correlates with specific functional classes of genes. Notably, tumor suppressor genes have very low G4P and proto-oncogenes have very high G4P. G4P of these genes is evenly distributed between exons and introns, and it does not reflect enrichment for CpG islands or local chromosomal environment. These results show that genomic structure undergoes selection based on gene function. Selection based on G4P could promote genomic stability (or instability) of specific classes of genes; or reflect mechanisms for global regulation of gene expression.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                06 April 2020
                26 February 2020
                26 February 2020
                : 48
                : 6
                : 3315-3327
                Affiliations
                [1 ] School of Physical and Mathematical Sciences, Nanyang Technological University , Singapore 637371, Singapore
                [2 ] School of Biological Sciences, Nanyang Technological University , Singapore 637551, Singapore
                [3 ] NTU Institute of Structural Biology, Nanyang Technological University , Singapore 636921, Singapore
                Author notes
                To whom correspondence should be addressed. Tel: +65 6514 1915; Fax: +65 6795 7981; Email: phantuan@ 123456ntu.edu.sg
                Author information
                http://orcid.org/0000-0002-8772-9755
                http://orcid.org/0000-0002-4970-3861
                Article
                gkaa008
                10.1093/nar/gkaa008
                7102960
                32100003
                6b3d84d3-ea3f-418f-9e2f-c9f8dbc06154
                © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 February 2020
                : 30 December 2019
                : 10 December 2019
                Page count
                Pages: 13
                Funding
                Funded by: Singapore National Research Foundation, DOI 10.13039/501100001381;
                Award ID: NRF-NRFI2017-09
                Funded by: Singapore Ministry of Education Academic Research Fund Tier 2;
                Award ID: MOE2015-T2-1-092
                Funded by: Nanyang Technological University, DOI 10.13039/501100001475;
                Categories
                AcademicSubjects/SCI00010
                Structural Biology

                Genetics
                Genetics

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