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      Structural Basis of the Subcellular Topology Landscape of Escherichia coli

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          Abstract

          Cellular proteomes are distributed in multiple compartments: on DNA, ribosomes, on and inside membranes, or they become secreted. Structural properties that allow polypeptides to occupy subcellular niches, particularly to after crossing membranes, remain unclear. We compared intrinsic and extrinsic features in cytoplasmic and secreted polypeptides of the Escherichia coli K-12 proteome. Structural features between the cytoplasmome and secretome are sharply distinct, such that a signal peptide-agnostic machine learning tool distinguishes cytoplasmic from secreted proteins with 95.5% success. Cytoplasmic polypeptides are enriched in aliphatic, aromatic, charged and hydrophobic residues, unique folds and higher early folding propensities. Secretory polypeptides are enriched in polar/small amino acids, β folds, have higher backbone dynamics, higher disorder and contact order and are more often intrinsically disordered. These non-random distributions and experimental evidence imply that evolutionary pressure selected enhanced secretome flexibility, slow folding and looser structures, placing the secretome in a distinct protein class. These adaptations protect the secretome from premature folding during its cytoplasmic transit, optimize its lipid bilayer crossing and allowed it to acquire cell envelope specific chemistries. The latter may favor promiscuous multi-ligand binding, sensing of stress and cell envelope structure changes. In conclusion, enhanced flexibility, slow folding, looser structures and unique folds differentiate the secretome from the cytoplasmome. These findings have wide implications on the structural diversity and evolution of modern proteomes and the protein folding problem.

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          Most cited references113

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            Principles that govern the folding of protein chains.

            C ANFINSEN (1973)
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              Function and structure of inherently disordered proteins.

              The application of bioinformatics methodologies to proteins inherently lacking 3D structure has brought increased attention to these macromolecules. Here topics concerning these proteins are discussed, including their prediction from amino acid sequence, their enrichment in eukaryotes compared to prokaryotes, their more rapid evolution compared to structured proteins, their organization into specific groups, their structural preferences, their half-lives in cells, their contributions to signaling diversity (via high contents of multiple-partner binding sites, post-translational modifications, and alternative splicing), their distinct functional repertoire compared to that of structured proteins, and their involvement in diseases.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                24 July 2019
                2019
                : 10
                : 1670
                Affiliations
                [1] 1Department of Microbiology and Immunology, Laboratory of Molecular Bacteriology, Rega Institute, KU Leuven , Leuven, Belgium
                [2] 2VIB Switch Laboratory, Department for Cellular and Molecular Medicine, VIB-KU Leuven Center for Brain & Disease Research, KU Leuven , Leuven, Belgium
                [3] 3Interuniversity Institute of Bioinformatics in Brussels, Free University of Brussels , Brussels, Belgium
                [4] 4Structural Biology Brussels, Vrije Universiteit Brussel and Center for Structural Biology , Brussels, Belgium
                [5] 5Metabolic Engineering & Systems Biology Laboratory, Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas , Patras, Greece
                [6] 6Gnosis Data Analysis PC , Heraklion, Greece
                [7] 7Department of Computer Science, University of Crete , Heraklion, Greece
                Author notes

                Edited by: Baolei Jia,Chung-Ang University, South Korea

                Reviewed by: Vladimir N. Uversky, University of South Florida, United States; Oxana Galzitskaya, Institute of Protein Research (RAS), Russia

                *Correspondence: Anastassios Economou, tassos.economou@ 123456kuleuven.be

                These authors have contributed equally to this work

                This article was submitted to Evolutionary and Genomic Microbiology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2019.01670
                6677119
                31404336
                a6c5a388-89d5-4bb3-9282-47b1f70d0151
                Copyright © 2019 Loos, Ramakrishnan, Vranken, Tsirigotaki, Tsare, Zorzini, De Geyter, Yuan, Tsamardinos, Klappa, Schymkowitz, Rousseau, Karamanou and Economou.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 12 April 2019
                : 08 July 2019
                Page count
                Figures: 8, Tables: 1, Equations: 0, References: 138, Pages: 22, Words: 0
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                protein secretion,cytoplasmome,protein disorder,protein domains,protein folding,protein subcellular localization,protein targeting,secretome

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