21
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      PrionHome: A Database of Prions and Other Sequences Relevant to Prion Phenomena

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Prions are units of propagation of an altered state of a protein or proteins; prions can propagate from organism to organism, through cooption of other protein copies. Prions contain no necessary nucleic acids, and are important both as both pathogenic agents, and as a potential force in epigenetic phenomena. The original prions were derived from a misfolded form of the mammalian Prion Protein PrP. Infection by these prions causes neurodegenerative diseases. Other prions cause non-Mendelian inheritance in budding yeast, and sometimes act as diseases of yeast. We report the bioinformatic construction of the PrionHome, a database of >2000 prion-related sequences. The data was collated from various public and private resources and filtered for redundancy. The data was then processed according to a transparent classification system of prionogenic sequences ( i.e., sequences that can make prions), prionoids ( i.e., proteins that propagate like prions between individual cells), and other prion-related phenomena. There are eight PrionHome classifications for sequences. The first four classifications are derived from experimental observations: prionogenic sequences, prionoids, other prion-related phenomena, and prion interactors. The second four classifications are derived from sequence analysis: orthologs, paralogs, pseudogenes, and candidate-prionogenic sequences. Database entries list: supporting information for PrionHome classifications, prion-determinant areas (where relevant), and disordered and compositionally-biased regions. Also included are literature references for the PrionHome classifications, transcripts and genomic coordinates, and structural data (including comparative models made for the PrionHome from manually curated alignments). We provide database usage examples for both vertebrate and fungal prion contexts. Using the database data, we have performed a detailed analysis of the compositional biases in known budding-yeast prionogenic sequences, showing that the only abundant bias pattern is for asparagine bias with subsidiary serine bias. We anticipate that this database will be a useful experimental aid and reference resource. It is freely available at: http://libaio.biol.mcgill.ca/prion.

          Related collections

          Most cited references59

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          The worldwide Protein Data Bank (wwPDB): ensuring a single, uniform archive of PDB data

          The worldwide Protein Data Bank (wwPDB) is the international collaboration that manages the deposition, processing and distribution of the PDB archive. The online PDB archive is a repository for the coordinates and related information for more than 38 000 structures, including proteins, nucleic acids and large macromolecular complexes that have been determined using X-ray crystallography, NMR and electron microscopy techniques. The founding members of the wwPDB are RCSB PDB (USA), MSD-EBI (Europe) and PDBj (Japan) [H.M. Berman, K. Henrick and H. Nakamura (2003) Nature Struct. Biol., 10, 980]. The BMRB group (USA) joined the wwPDB in 2006. The mission of the wwPDB is to maintain a single archive of macromolecular structural data that are freely and publicly available to the global community. Additionally, the wwPDB provides a variety of services to a broad community of users. The wwPDB website at provides information about services provided by the individual member organizations and about projects undertaken by the wwPDB.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Ensembl 2009

            The Ensembl project (http://www.ensembl.org) is a comprehensive genome information system featuring an integrated set of genome annotation, databases, and other information for chordate, selected model organism and disease vector genomes. As of release 51 (November 2008), Ensembl fully supports 45 species, and three additional species have preliminary support. New species in the past year include orangutan and six additional low coverage mammalian genomes. Major additions and improvements to Ensembl since our previous report include a major redesign of our website; generation of multiple genome alignments and ancestral sequences using the new Enredo-Pecan-Ortheus pipeline and development of our software infrastructure, particularly to support the Ensembl Genomes project (http://www.ensemblgenomes.org/).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A possible role for pi-stacking in the self-assembly of amyloid fibrils.

              Ehud Gazit (2002)
              Amyloid fibril formation is assumed to be the molecular basis for a variety of diseases of unrelated origin. Despite its fundamental clinical importance, the mechanism of amyloid formation is not fully understood. When we analyzed a variety of short functional fragments from unrelated amyloid-forming proteins, a remarkable occurrence of aromatic residues was observed. The finding of aromatic residues in diverse fragments raises the possibility that pi-pi interactions may play a significant role in the molecular recognition and self-assembly processes that lead to amyloid formation. This is in line with the well-known central role of pi-stacking interactions in self-assembly processes in the fields of chemistry and biochemistry. We speculate that the stacking interactions may provide energetic contribution as well as order and directionality in the self-assembly of amyloid structures. Experimental data regarding amyloid formation and inhibition by short peptide analogs also support our hypothesis. The pi-stacking hypothesis suggests a new approach to understanding the self-assembly mechanism that governs amyloid formation and indicates possible ways to control this process.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2012
                20 February 2012
                : 7
                : 2
                : e31785
                Affiliations
                [1 ]Department of Biology, McGill University, Montreal, Quebec, Canada
                [2 ]Department of Biophysics, University of Delhi (South Campus), New Delhi, India
                [3 ]National Centre for Biological Sciences, GKVK Campus, Bangalore, India
                [4 ]Tanz Centre for Research in Neurodegenerative Diseases, and Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario, Canada
                [5 ]Department of Biosciences, Biochemistry, Åbo Akademi University, Turku, Finland
                INSERM, UMR-S747, France
                Author notes

                Analyzed the data: DH MP DG SE MK PH. Wrote the paper: PH GS-U RS.

                Article
                PONE-D-11-19718
                10.1371/journal.pone.0031785
                3282748
                22363733
                d4510225-5340-4844-bfa4-4dad282da32a
                Harbi et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 4 October 2011
                : 18 January 2012
                Page count
                Pages: 11
                Categories
                Research Article
                Biology
                Computational Biology
                Genomics
                Macromolecular Structure Analysis
                Molecular Genetics
                Model Organisms
                Yeast and Fungal Models
                Medicine
                Infectious Diseases
                Veterinary Science
                Veterinary Diseases
                Zoonotic Diseases

                Uncategorized
                Uncategorized

                Comments

                Comment on this article