Molecular effect of an OPTN common variant associated to Paget's disease of bone

Paget's disease of bone (PDB) is a chronic bone disorder and although genetic factors appear to play an important role in its pathogenesis, to date PDB causing mutations were identified only in the Sequestosome 1 (SQSTM1) gene at the PDB3 locus. PDB6 locus, also previously linked to PDB, contains several candidate genes for metabolic bone diseases. We focused our analysis in the most significantly associated variant with PDB, within the Optineurin (OPTN) gene, i.e. the common variant rs1561570. Although it was previously shown to be strongly associated with PDB in several populations, its contribution to PDB pathogenesis remains unclear. In this study we have shown that rs1561570 may contribute to PDB since its Tallele results in the loss of a methylation site in patients' DNA, leading to higher levels of OPTN gene expression and a corresponding increase in protein levels in patients' osteoclasts. This increase in OPTN expression leads to higher levels of NF-KB translocation into the nucleus and increasing expression of its target genes, which may contribute to the overactivity of osteoclasts observed in PDB. We also reported a tendency for a more severe clinical phenotype in the presence of a haplotype containing the rs1561570 T allele, which appear to be re-enforced with the presence of the SQSTM1/P392L mutation. In conclusion, our work provides novel insight towards understanding the functional effects of this variant, located in OPTN intron 7, and its implication in the contribution to PDB pathogenesis.national funds from Foundation for Science and Technology (FCT) [UID/Multi/04326/2013]; Canadian Institutes for Health Research, Canada [MOP130457]; CHU de Quebec Foundation; Canadian Foundation for Innovation; Fonds de recherche du Quebec-sante; Laval University; CHU de Quebec-Universite Laval Research Centre; FCT [SFRH/BD/77227/2011, SFRH/BPD/111898/2015]; Fonds de recherche Quebec-Sante (FRQ-S), Quebec, Canad

RCSB PDB Mobile: iOS and Android mobile apps to provide data access and visualization to the RCSB Protein Data Bank.

SummaryThe Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) resource provides tools for query, analysis and visualization of the 3D structures in the PDB archive. As the mobile Web is starting to surpass desktop and laptop usage, scientists and educators are beginning to integrate mobile devices into their research and teaching. In response, we have developed the RCSB PDB Mobile app for the iOS and Android mobile platforms to enable fast and convenient access to RCSB PDB data and services. Using the app, users from the general public to expert researchers can quickly search and visualize biomolecules, and add personal annotations via the RCSB PDB's integrated MyPDB service.Availability and implementationRCSB PDB Mobile is freely available from the Apple App Store and Google Play (http://www.rcsb.org)

The Jena Library of Biological Macromolecules - JenaLib

The JenaLib database ("www.fli-leibniz.de/IMAGE.html":http://www.fli-leibniz.de/IMAGE.html) offers value-added information for all Protein Data Bank (PDB) and Nucleic Acid Database (NDB) entries. This includes:
(1) atlas pages and entry lists, (2) PDB sequence information extracted from atomic coordinates, (3) PDB/UniProt sequence alignments that clearly indicate gaps, mutations, numbering irregularities and modified residues, (4) integration of data on single amino acid polymorphisms (SAPs), PROSITE motifs, exon structure and SCOP/CATH/Pfam domains with PDB, GO and taxonomy information, (5) display of these data in the sequence/alignment viewer and in the Jmol-based molecule viewer Jena3D ("jena3d.fli-leibniz.de":http://jena3d.fli-leibniz.de ); in the latter case both for asymmetric and biological units, (6) a QuickSearch option that allows searching for PDB/NDB code, UniProt ID/accession number and other search terms in one input field, (7) a sequence homology search (BLAST) and pattern search options and (8) SCOP/CATH/Pfam tree browsers.

Offering all this information and analysis tools in one place makes JenaLib a unique resource for the dissemination of 3D structural information on biological macromolecules

Preparation data of the bromodomains BRD3(1), BRD3(2), BRD4(1), and BRPF1B and crystallization of BRD4(1)-inhibitor complexes

AbstractThis article presents detailed purification procedures for the bromodomains BRD3(1), BRD3(2), BRD4(1), and BRPF1B. In addition we provide crystallization protocols for apo BRD4(1) and BRD4(1) in complex with numerous inhibitors. The protocols described here were successfully applied to obtain affinity data by isothermal titration calorimetry (ITC) and by differential scanning fluorimetry (DSF) as well as structural characterizations of BRD4(1) inhibitor complexes (PDB codes: PDB: 4LYI, PDB: 4LZS, PDB: 4LYW, PDB: 4LZR, PDB: 4LYS, PDB: 5D24, PDB: 5D25, PDB: 5D26, PDB: 5D3H, PDB: 5D3J, PDB: 5D3L, PDB: 5D3N, PDB: 5D3P, PDB: 5D3R, PDB: 5D3S, PDB: 5D3T). These data have been reported previously and are discussed in more detail elsewhere [1,2]

Genetic association study of UCMA/GRP and OPTN genes (PDB6 locus) with Paget's disease of bone

We performed a genetic association study of rare variants and single nucleotide polymorphisms (SNPs) of UCMA/GRP and OPTN genes, in French-Canadian patients with Paget's disease of bone (PDB) and in healthy controls from the same population. We reproduced the variant found in the UCMA/GRP basal promoter and tested its functionality using in vitro transient transfection assays. Interestingly, this SNP rs17152980 appears to affect the transcription level of UCMA/GRP. In addition, we have identified five rare genetic variants in UCMA/GRP gene, four of them being population-specific, although none were found to be associated with PDB. Six Tag SNPs of UCMA/GRP gene were associated with PDB, particularly the SNP rs17152980 (uncorrected P = 3.8 x 10(-3)), although not significant after Bonferroni's correction. More importantly, we replicated the strong and statistically significant genetic association of two SNPs of the OPTN gene, the rs1561570 (uncorrected P = 5.7 x 10(-7)) and the rs2095388 (uncorrected P = 4.9 x 10(-3)), With PDB. In addition, we identified a very rare variant found to be located close to the basal promoter of the OPTN gene, at -232 bp from its distal transcription start site. Furthermore, depending on the type of allele present (G or A), the binding of several important nuclear factors such as the vitamin D or the retinoic acid receptors is predicted to be altered at this position, suggesting a significant effect in the regulation of transcription of the OPTN gene. In conclusion, we identified a functional SNP located in the basal promoter of the UCMA/GRP gene which provided a weak genetic association with PDB. In addition, we replicated the strong genetic association of two already known SNPs of the OPTN gene, with PDB in a founder effect population. We also identified a very rare variant in the promoter of OPTN, and through bioinformatic analysis, identified putative transcription factor binding sites likely to affect OPTN gene transcription. (C) 2012 Elsevier Inc. All rights reserved.Fonds de la Recherche du Quebec - Sante (FRQS), Canada; Portuguese Science and Technology Foundation, Portugal [SFRH/BPD/48206/2008]; Catalyst Grant (Bone Health) from the Canadian Institutes of Health Research (Canada); CHUQ Foundation (Canada); Groupe de Recherche en Maladies Osseuses (Canada); Canadian Foundation for Innovation (Canada); FRSQ (Canada); Laval University (Canada); CHUQ (CHUL) Research Centre (Canada); Centre of Marine Sciences (CCMAR) (Portugal)info:eu-repo/semantics/publishedVersio

A computer system to perform structure comparison using TOPS representations of protein structure

We describe the design and implementation of a fast topology–based method for protein structure comparison. The approach uses the TOPS topological representation of protein structure, aligning two structures using a common discovered pattern and generating measure of distance derived from an insert score. Heavy use is made of a constraint-based pattern matching algorithm for TOPS diagrams that we have designed and described elsewhere Gilbert et al. (1999). The comparison system is maintained at the European Bioinformatics Institute and is available over the Web via the at tops.ebi.ac.uk/tops. Users submit a structure description in Protein Data Bank (PDB) format and can compare it with structures in the entire PDB or a representative subset of protein domains, receiving the results by email

Determination of Interaction Potentials of Amino Acids from Native Protein Structures: Test on Simple Lattice Models

We propose a novel method for the determination of the effective interaction potential between the amino acids of a protein. The strategy is based on the combination of a new optimization procedure and a geometrical argument, which also uncovers the shortcomings of any optimization procedure. The strategy can be applied on any data set of native structures such as those available from the Protein Data Bank (PDB). In this work, however, we explain and test our approach on simple lattice models, where the true interactions are known a priori. Excellent agreement is obtained between the extracted and the true potentials even for modest numbers of protein structures in the PDB. Comparisons with other methods are also discussed.Comment: 24 pages, 4 figure

The RCSB Protein Data Bank: views of structural biology for basic and applied research and education.

The RCSB Protein Data Bank (RCSB PDB, http://www.rcsb.org) provides access to 3D structures of biological macromolecules and is one of the leading resources in biology and biomedicine worldwide. Our efforts over the past 2 years focused on enabling a deeper understanding of structural biology and providing new structural views of biology that support both basic and applied research and education. Herein, we describe recently introduced data annotations including integration with external biological resources, such as gene and drug databases, new visualization tools and improved support for the mobile web. We also describe access to data files, web services and open access software components to enable software developers to more effectively mine the PDB archive and related annotations. Our efforts are aimed at expanding the role of 3D structure in understanding biology and medicine