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  • 1
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    In situ structural analysis of the human nuclear pore complex (2015)
    Nature Publishing Group (NPG)
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    Publication Date: 2015-09-30
    Description: Nuclear pore complexes are fundamental components of all eukaryotic cells that mediate nucleocytoplasmic exchange. Determining their 110-megadalton structure imposes a formidable challenge and requires in situ structural biology approaches. Of approximately 30 nucleoporins (Nups), 15 are structured and form the Y and inner-ring complexes. These two major scaffolding modules assemble in multiple copies into an eight-fold rotationally symmetric structure that fuses the inner and outer nuclear membranes to form a central channel of ~60 nm in diameter. The scaffold is decorated with transport-channel Nups that often contain phenylalanine-repeat sequences and mediate the interaction with cargo complexes. Although the architectural arrangement of parts of the Y complex has been elucidated, it is unclear how exactly it oligomerizes in situ. Here we combine cryo-electron tomography with mass spectrometry, biochemical analysis, perturbation experiments and structural modelling to generate, to our knowledge, the most comprehensive architectural model of the human nuclear pore complex to date. Our data suggest previously unknown protein interfaces across Y complexes and to inner-ring complex members. We show that the transport-channel Nup358 (also known as Ranbp2) has a previously unanticipated role in Y-complex oligomerization. Our findings blur the established boundaries between scaffold and transport-channel Nups. We conclude that, similar to coated vesicles, several copies of the same structural building block--although compositionally identical--engage in different local sets of interactions and conformations.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉von Appen, Alexander -- Kosinski, Jan -- Sparks, Lenore -- Ori, Alessandro -- DiGuilio, Amanda L -- Vollmer, Benjamin -- Mackmull, Marie-Therese -- Banterle, Niccolo -- Parca, Luca -- Kastritis, Panagiotis -- Buczak, Katarzyna -- Mosalaganti, Shyamal -- Hagen, Wim -- Andres-Pons, Amparo -- Lemke, Edward A -- Bork, Peer -- Antonin, Wolfram -- Glavy, Joseph S -- Bui, Khanh Huy -- Beck, Martin -- 1R21AG047433-01/AG/NIA NIH HHS/ -- England -- Nature. 2015 Oct 1;526(7571):140-3. doi: 10.1038/nature15381. Epub 2015 Sep 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany. ; Department of Chemistry, Chemical Biology and Biomedical Engineering, Stevens Institute of Technology, 507 River St., Hoboken, New Jersey 07030, USA. ; Friedrich Miescher Laboratory of the Max Planck Society, Spemannstrasse 39, 72076 Tubingen, Germany. ; Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 0C7, Canada.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26416747" target="_blank"〉PubMed〈/a〉
    Keywords: Binding Sites ; *Cryoelectron Microscopy ; HeLa Cells ; Humans ; Mass Spectrometry ; Models, Molecular ; Molecular Chaperones/chemistry/metabolism/ultrastructure ; Nuclear Envelope/metabolism ; Nuclear Pore/*chemistry/metabolism/*ultrastructure ; Nuclear Pore Complex Proteins/*chemistry/metabolism/*ultrastructure ; Protein Conformation ; Protein Multimerization ; Protein Stability
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 2
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    PTMcode v2: a resource for functional associations of post-translational modifications within and between proteins (2015)
    Oxford University Press
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    Publication Date: 2015-01-16
    Description: The post-translational regulation of proteins is mainly driven by two molecular events, their modification by several types of moieties and their interaction with other proteins. These two processes are interdependent and together are responsible for the function of the protein in a particular cell state. Several databases focus on the prediction and compilation of protein–protein interactions (PPIs) and no less on the collection and analysis of protein post-translational modifications (PTMs), however, there are no resources that concentrate on describing the regulatory role of PTMs in PPIs. We developed several methods based on residue co-evolution and proximity to predict the functional associations of pairs of PTMs that we apply to modifications in the same protein and between two interacting proteins. In order to make data available for understudied organisms, PTMcode v2 ( http://ptmcode.embl.de ) includes a new strategy to propagate PTMs from validated modified sites through orthologous proteins. The second release of PTMcode covers 19 eukaryotic species from which we collected more than 300 000 experimentally verified PTMs (〉1 300 000 propagated) of 69 types extracting the post-translational regulation of 〉100 000 proteins and 〉100 000 interactions. In total, we report 8 million associations of PTMs regulating single proteins and over 9.4 million interplays tuning PPIs.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 3
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    Quantifying compartment-associated variations of protein abundance in proteomics data (2018)
    Springer Nature
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    Publication Date: 2018
    Description: 〈p〉Quantitative mass spectrometry enables to monitor the abundance of thousands of proteins across biological conditions. Currently, most data analysis approaches rely on the assumption that the majority of the observed proteins remain unchanged across compared samples. Thus, gross morphological differences between cell states, deriving from, e.g., differences in size or number of organelles, are often not taken into account. Here, we analyzed multiple published datasets and frequently observed that proteins associated with a particular cellular compartment collectively increase or decrease in their abundance between conditions tested. We show that such effects, arising from underlying morphological differences, can skew the outcome of differential expression analysis. We propose a method to detect and normalize morphological effects underlying proteomics data. We demonstrate the applicability of our method to different datasets and biological questions including the analysis of sub-cellular proteomes in the context of 〈i〉Caenorhabditis elegans〈/i〉 aging. Our method provides a complementary perspective to classical differential expression analysis and enables to uncouple overall abundance changes from stoichiometric variations within defined group of proteins.〈/p〉
    Electronic ISSN: 1744-4292
    Topics: Biology
    Published by Springer Nature on behalf of The European Molecular Biology Organization (EMBO).
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  • 4
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    PTMcode: a database of known and predicted functional associations between post-translational modifications in proteins (2012)
    Oxford University Press
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    Publication Date: 2012-12-20
    Description: Post-translational modifications (PTMs) are involved in the regulation and structural stabilization of eukaryotic proteins. The combination of individual PTM states is a key to modulate cellular functions as became evident in a few well-studied proteins. This combinatorial setting, dubbed the PTM code, has been proposed to be extended to whole proteomes in eukaryotes. Although we are still far from deciphering such a complex language, thousands of protein PTM sites are being mapped by high-throughput technologies, thus providing sufficient data for comparative analysis. PTMcode ( http://ptmcode.embl.de ) aims to compile known and predicted PTM associations to provide a framework that would enable hypothesis-driven experimental or computational analysis of various scales. In its first release, PTMcode provides PTM functional associations of 13 different PTM types within proteins in 8 eukaryotes. They are based on five evidence channels: a literature survey, residue co-evolution, structural proximity, PTMs at the same residue and location within PTM highly enriched protein regions (hotspots). PTMcode is presented as a protein-based searchable database with an interactive web interface providing the context of the co-regulation of nearly 75 000 residues in 〉10 000 proteins.
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 5
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    Nucleos: a web server for the identification of nucleotide-binding sites in protein structures (2013)
    Oxford University Press
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    Publication Date: 2013-06-23
    Description: Nucleos is a web server for the identification of nucleotide-binding sites in protein structures. Nucleos compares the structure of a query protein against a set of known template 3D binding sites representing nucleotide modules, namely the nucleobase, carbohydrate and phosphate. Structural features, clustering and conservation are used to filter and score the predictions. The predicted nucleotide modules are then joined to build whole nucleotide-binding sites, which are ranked by their score. The server takes as input either the PDB code of the query protein structure or a user-submitted structure in PDB format. The output of Nucleos is composed of ranked lists of predicted nucleotide-binding sites divided by nucleotide type (e.g. ATP-like). For each ranked prediction, Nucleos provides detailed information about the score, the template structure and the structural match for each nucleotide module composing the nucleotide-binding site. The predictions on the query structure and the template-binding sites can be viewed directly on the web through a graphical applet. In 98% of the cases, the modules composing correct predictions belong to proteins with no homology relationship between each other, meaning that the identification of brand-new nucleotide-binding sites is possible using information from non-homologous proteins. Nucleos is available at http://nucleos.bio.uniroma2.it/nucleos/ .
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 6
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    Phosfinder: a web server for the identification of phosphate-binding sites on protein structures (2011)
    Oxford University Press
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    Publication Date: 2011-05-26
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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