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      Adaptable P body physical states differentially regulate bicoid mRNA storage during early Drosophila development

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          Summary

          Ribonucleoprotein condensates can exhibit diverse physical states in vitro and in vivo. Despite considerable progress, the relevance of condensate physical states for in vivo biological function remains limited. Here, we investigated the physical properties of processing bodies (P bodies) and their impact on mRNA storage in mature Drosophila oocytes. We show that the conserved DEAD-box RNA helicase Me31B forms viscous P body condensates, which adopt an arrested physical state. We demonstrate that structurally distinct proteins and protein-protein interactions, together with RNA, regulate the physical properties of P bodies. Using live imaging and in situ hybridization, we show that the arrested state and integrity of P bodies support the storage of bicoid (bcd) mRNA and that egg activation modulates P body properties, leading to the release of bcd for translation in the early embryo. Together, this work provides an example of how physical states of condensates regulate cellular function in development.

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          Highlights

          • P bodies adopt an arrested physical state in the mature oocyte

          • Multivalent interactions and structurally distinct proteins regulate P body properties

          • The arrested state and integrity of P bodies support the storage of bicoid mRNA

          • Egg activation modulates P body properties and leads to release of bicoid mRNA

          Abstract

          Sankaranarayanan et al. show that P bodies, conserved ribonucleoprotein condensates found in Drosophila oocytes, are regulated by specific structural features and weak multivalent interactions. In vivo, P bodies adopt an arrested physical state that is critical for the storage of the bicoid patterning mRNA until egg activation.

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          Most cited references116

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          NIH Image to ImageJ: 25 years of image analysis

          For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            SWISS-MODEL: homology modelling of protein structures and complexes

            Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
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              Biomolecular condensates: organizers of cellular biochemistry

              In addition to membrane-bound organelles, eukaryotic cells feature various membraneless compartments, including the centrosome, the nucleolus and various granules. Many of these compartments form through liquid–liquid phase separation, and the principles, mechanisms and regulation of their assembly as well as their cellular functions are now beginning to emerge.
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                Author and article information

                Contributors
                Journal
                Dev Cell
                Dev Cell
                Developmental Cell
                Cell Press
                1534-5807
                1878-1551
                25 October 2021
                25 October 2021
                : 56
                : 20
                : 2886-2901.e6
                Affiliations
                [1 ]Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
                [2 ]Department of Biochemistry and Molecular Biophysics, Washington University School of Medicine, 660 S. Euclid Ave., St. Louis, MO 63110, USA
                [3 ]Center for Science and Engineering of Living Systems, Washington University in St. Louis, 1 Brookings Drive, St. Louis, MO 63130, USA
                [4 ]Center for Molecular and Cellular Bioengineering, Biotechnology Center, Technische Universität Dresden, Tatzberg 47/49, 01307 Dresden, Germany
                Author notes
                []Corresponding author msnsankar18@ 123456gmail.com
                [∗∗ ]Corresponding author tw419@ 123456cam.ac.uk
                [5]

                Lead contact

                Article
                S1534-5807(21)00765-6
                10.1016/j.devcel.2021.09.021
                8555633
                34655524
                dd7aa228-1159-4eb7-b5e2-de867fbeeb98
                © 2021 The Authors

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 March 2021
                : 22 July 2021
                : 23 September 2021
                Categories
                Article

                Developmental biology
                biomolecular condensates,phase separation,processing bodies,mrna regulation,axis patterning,drosophila,intrinsically disordered regions,in vivo imaging,ribonucleoprotein

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