Insights Into the Evolution of Regulated Actin Dynamics Via Characterization of Primitive Gelsolin/Cofilin Proteins from Asgard Archaea
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The Wiskott-Aldrich Syndrome: the Actin Cytoskeleton and Immune Cell Function
Disease Markers 29 (2010) 157–175 157 DOI 10.3233/DMA-2010-0735 IOS Press The Wiskott-Aldrich syndrome: The actin cytoskeleton and immune cell function Michael P. Blundella, Austen Wortha,b, Gerben Boumaa and Adrian J. Thrashera,b,∗ aMolecular Immunology Unit, UCL Institute of Child Health, London, UK bDepartment of Immunology, Great Ormond Street Hospital NHS Trust, Great Ormond Street, London, UK Abstract. Wiskott-Aldrich syndrome (WAS) is a rare X-linked recessive primary immunodeficiency characterised by immune dysregulation, microthrombocytopaenia, eczema and lymphoid malignancies. Mutations in the WAS gene can lead to distinct syndrome variations which largely, although not exclusively, depend upon the mutation. Premature termination and deletions abrogate Wiskott-Aldrich syndrome protein (WASp) expression and lead to severe disease (WAS). Missense mutations usually result in reduced protein expression and the phenotypically milder X-linked thrombocytopenia (XLT) or attenuated WAS [1–3]. More recently however novel activating mutations have been described that give rise to X-linked neutropenia (XLN), a third syndrome defined by neutropenia with variable myelodysplasia [4–6]. WASP is key in transducing signals from the cell surface to the actin cytoskeleton, and a lack of WASp results in cytoskeletal defects that compromise multiple aspects of normal cellular activity including proliferation, phagocytosis, immune synapse formation, adhesion and directed migration. Keywords: Wiskott-Aldrich syndrome, actin polymerization, lymphocytes, -
The Syntrophy Hypothesis for the Origin of Eukaryotes Revisited Purificación López-García, David Moreira
The Syntrophy hypothesis for the origin of eukaryotes revisited Purificación López-García, David Moreira To cite this version: Purificación López-García, David Moreira. The Syntrophy hypothesis for the origin of eukaryotes revisited. Nature Microbiology, Nature Publishing Group, 2020, 5 (5), pp.655-667. 10.1038/s41564- 020-0710-4. hal-02988531 HAL Id: hal-02988531 https://hal.archives-ouvertes.fr/hal-02988531 Submitted on 3 Dec 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. 1 2 Perspectives 3 4 5 6 The Syntrophy hypothesis for the origin of eukaryotes revisited 7 8 Purificación López-García1 and David Moreira1 9 10 1 Ecologie Systématique Evolution, CNRS, Université Paris-Saclay, AgroParisTech, Orsay, France 11 12 13 14 *Correspondence to: [email protected] 15 16 17 18 19 1 20 The discovery of Asgard archaea, phylogenetically closer to eukaryotes than other archaea, together with 21 improved knowledge of microbial ecology impose new constraints on emerging models for the origin of the 22 eukaryotic cell (eukaryogenesis). Long-held views are metamorphosing in favor of symbiogenetic models 23 based on metabolic interactions between archaea and bacteria. These include the classical Searcy’s and 24 hydrogen hypothesis, and the more recent Reverse Flow and Entangle-Engulf-Enslave (E3) models. -
Desmin Forms Toxic, Seeding-Competent Amyloid Aggregates That Persist in Muscle Fibers
Desmin forms toxic, seeding-competent amyloid aggregates that persist in muscle fibers Niraja Kediaa, Khalid Arhzaouyb, Sara K. Pittmanb, Yuanzi Sunc,d, Mark Batchelord, Conrad C. Weihlb,1, and Jan Bieschkea,d,1 aDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO 63130; bDepartment of Neurology, Washington University School of Medicine, St. Louis, MO 63110; cDepartment of Energy, Environmental and Chemical Engineering, Washington University in St. Louis, St. Louis, MO 63130; and dUniversity College London Institute of Prion Diseases/Medical Research Council Prion Unit, University College London, London W1W 7FF, United Kingdom Edited by Nancy M. Bonini, University of Pennsylvania, Philadelphia, PA, and approved July 10, 2019 (received for review May 16, 2019) Desmin-associated myofibrillar myopathy (MFM) has pathologic Desmin is a 470-amino acid protein, and more than 70 disease- similarities to neurodegeneration-associated protein aggregate dis- associated mutations have been reported that span the entire eases. Desmin is an abundant muscle-specific intermediate filament, protein (3). The formation of desmin IFs occurs via sequentially and disease mutations lead to its aggregation in cells, animals, and ordered steps that include dimer and tetramer formation, unit- patients. We reasoned that similar to neurodegeneration-associated length filament formation, and filament elongation (5). Some proteins, desmin itself may form amyloid. Desmin peptides corre- disease mutations affect IF assembly in vitro and in vivo, resulting sponding to putative amyloidogenic regions formed seeding- in cytosolic inclusions (5, 6). Similarly, disease mutations in the competent amyloid fibrils. Amyloid formation was increased when small heat shock protein αB crystallin affect its ability to facili- disease-associated mutations were made within the peptide, and tate desmin filament formation, resulting in desmin aggregation this conversion was inhibited by the anti-amyloid compound (7). -
Protein Structure & Folding
6 Protein Structure & Folding To understand protein folding In the last chapter we learned that proteins are composed of amino acids Goal as a chemical equilibrium. linked together by peptide bonds. We also learned that the twenty amino acids display a wide range of chemical properties. In this chapter we will see Objectives that how a protein folds is determined by its amino acid sequence and that the three-dimensional shape of a folded protein determines its function by After this chapter, you should be able to: the way it positions these amino acids. Finally, we will see that proteins fold • describe the four levels of protein because doing so minimizes Gibbs free energy and that this minimization structure and the thermodynamic involves both making the most favorable bonds and maximizing disorder. forces that stabilize them. • explain how entropy (S) and enthalpy Proteins exhibit four levels of structure (H) contribute to Gibbs free energy. • use the equation ΔG = ΔH – TΔS The structure of proteins can be broken down into four levels of to determine the dependence of organization. The first is primary structure, the linear sequence of amino the favorability of a reaction on acids in the polypeptide chain. By convention, the primary sequence is temperature. written in order from the amino acid at the N-terminus (by convention • explain the hydrophobic effect and its usually on the left) to the amino acid at the C-terminus. The second level role in protein folding. of protein structure, secondary structure, is the local conformation adopted by stretches of contiguous amino acids. -
Evolution of Biomolecular Structure Class II Trna-Synthetases and Trna
University of Illinois at Urbana-Champaign Luthey-Schulten Group Theoretical and Computational Biophysics Group Evolution of Biomolecular Structure Class II tRNA-Synthetases and tRNA MultiSeq Developers: Prof. Zan Luthey-Schulten Elijah Roberts Patrick O’Donoghue John Eargle Anurag Sethi Dan Wright Brijeet Dhaliwal September 25, 2006. A current version of this tutorial is available at http://www.scs.uiuc.edu/˜schulten/tutorials/evolution/ CONTENTS 2 Contents 1 Introduction 4 1.1 The MultiSeq Bioinformatic Analysis Environment . 4 1.2 Aminoacyl-tRNA Synthetases: Role in translation . 4 1.3 Getting Started . 7 1.3.1 Requirements . 7 1.3.2 Copying the tutorial files . 7 1.3.3 Configuring MultiSeq . 7 1.3.4 Configuring BLAST for MultiSeq . 10 1.4 The Aspartyl-tRNA Synthetase/tRNA Complex . 12 1.4.1 Loading the structure into MultiSeq . 12 1.4.2 Selecting and highlighting residues . 13 1.4.3 Domain organization of the synthetase . 14 1.4.4 Nearest neighbor contacts . 14 2 Evolutionary Analysis of AARS Structures 17 2.1 Loading Molecules . 17 2.2 Multiple Structure Alignments . 18 2.3 Structural Conservation Measure: Qres . 19 2.4 Structure Based Phylogenetic Analysis . 21 2.4.1 Limitations of sequence data . 21 2.4.2 Structural metrics look further back in time . 23 3 Complete Evolutionary Profile of AspRS 26 3.1 BLASTing Sequence Databases . 26 3.1.1 Importing the archaeal sequences . 26 3.1.2 Now the other domains of life . 27 3.2 Organizing Your Data . 28 3.3 Finding a Structural Domain in a Sequence . 29 3.4 Aligning to a Structural Profile using ClustalW . -
DNA Glycosylase Exercise - Levels 1 & 2: Answer Key
Name________________________ StarBiochem DNA Glycosylase Exercise - Levels 1 & 2: Answer Key Background In this exercise, you will explore the structure of a DNA repair protein found in most species, including bacteria. DNA repair proteins move along DNA strands, checking for mistakes or damage. DNA glycosylases, a specific type of DNA repair protein, recognize DNA bases that have been chemically altered and remove them, leaving a site in the DNA without a base. Other proteins then come along to fill in the missing DNA base. Learning objectives We will explore the relationship between a protein’s structure and its function in a human DNA glycosylase called human 8-oxoguanine glycosylase (hOGG1). Getting started We will begin this exercise by exploring the structure of hOGG1 using a molecular 3-D viewer called StarBiochem. In this particular structure, the repair protein is bound to a segment of DNA that has been damaged. We will first focus on the structure hOGG1 and then on how this protein interacts with DNA to repair a damaged DNA base. • To begin using StarBiochem, please navigate to: http://mit.edu/star/biochem/. • Click on the Start button Click on the Start button for StarBiochem. • Click Trust when a prompt appears asking if you trust the certificate. • In the top menu, click on Samples à Select from Samples. Within the Amino Acid/Proteins à Protein tab, select “DNA glycosylase hOGG1 w/ DNA – H. sapiens (1EBM)”. “1EBM” is the four character unique ID for this structure. Take a moment to look at the structure from various angles by rotating and zooming on the structure. -
Table 1 Gene Name Increased Or Decreased in LTD
Table_1 gene_name increased or decreased in LTD protein_id description keep_supernatant keep_pellet comparison sample hit_annotation_methodpvalue fdr hit hit_annotation 2010300C02RIK increased E9Q3M9 Protein 2010300C02Rik OS=Mus musculus GN=2010300C02Rik PE=1 SV=1 TRUE TRUE NMDA - control pellet fdrtool 0,074667 0,584087 FALSE trend 2310035C23RIK|KIAA1468increased A0A087WSS1|E9QM90|Q148V7|Q148V7-2 Protein 2310035C23Rik OS=Mus musculus GN=2310035C23Rik PE=1 SV=1|Protein 2310035C23Rik OS=Mus musculusTRUE GN=2310035C23Rik PE=1 SV=2|LisH FALSE domain NMDAand HEAT - control repeat-containing protein KIAA1468 supernatant OS=Mus musculus GN=Kiaa1468 fdrtoolPE=1 SV=1|Isoform 0,080056 2 of 0,589077LisH domain FALSEand HEAT trend repeat-containing protein KIAA1468 OS=Mus musculus GN=Kiaa1468 ABR increased E9PUE7|Q5SSL4|Q5SSL4-2|Q5SSL4-3|Q5SSL4-4 Active breakpoint cluster region-related protein OS=Mus musculus GN=Abr PE=1 SV=1|Isoform 2 of Active breakpointTRUE cluster region-related protein TRUE OS=Mus musculus NMDA GN=Abr|Isoform - control 3 of Active breakpoint supernatant cluster region-related protein OS=Mus fdrtool musculus 0,08128 GN=Abr|Isoform 0,592743 4 of Active FALSE breakpoint trend cluster region-related protein OS=Mus musculus GN=Abr ADAM22 increased D3YUP9|Q9R1V6|Q9R1V6-10|Q9R1V6-11|Q9R1V6-12|Q9R1V6-13|Q9R1V6-14|Q9R1V6-15|Q9R1V6-17|Q9R1V6-4|Q9R1V6-5|Q9R1V6-6|Q9R1V6-7|Q9R1V6-8Disintegrin and metalloproteinase domain-containing protein 22 OS=Mus musculus GN=Adam22 PE=1 SV=1|DisintegrinFALSE and metalloproteinase domain-containing TRUE -
Phylogenomics Provides Robust Support for a Two-Domains Tree of Life
ARTICLES https://doi.org/10.1038/s41559-019-1040-x Phylogenomics provides robust support for a two-domains tree of life Tom A. Williams! !1*, Cymon J. Cox! !2, Peter G. Foster3, Gergely J. Szöllősi4,5,6 and T. Martin Embley7* Hypotheses about the origin of eukaryotic cells are classically framed within the context of a universal ‘tree of life’ based on conserved core genes. Vigorous ongoing debate about eukaryote origins is based on assertions that the topology of the tree of life depends on the taxa included and the choice and quality of genomic data analysed. Here we have reanalysed the evidence underpinning those claims and apply more data to the question by using supertree and coalescent methods to interrogate >3,000 gene families in archaea and eukaryotes. We find that eukaryotes consistently originate from within the archaea in a two-domains tree when due consideration is given to the fit between model and data. Our analyses support a close relation- ship between eukaryotes and Asgard archaea and identify the Heimdallarchaeota as the current best candidate for the closest archaeal relatives of the eukaryotic nuclear lineage. urrent hypotheses about eukaryotic origins generally pro- Indeed, it has previously been suggested that it is the 3D tree, rather pose at least two partners in that process: a bacterial endo- than the 2D tree, that is an artefact of long-branch attraction5,9–11, symbiont that became the mitochondrion and a host cell for both because analyses under better-fitting models have recovered C 1–4 that endosymbiosis . The identity of the host has been informed a 2D tree but also because the 3D topology is one in which the two by analyses of conserved genes for the transcription and transla- longest branches in the tree of life—the stems leading to bacteria and tion machinery that are considered essential for cellular life5. -
An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Netwo
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2014 An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis Sriram Devanathan Washington University School of Medicine in St. Louis Timothy Whitehead Washington University School of Medicine in St. Louis George G. Schweitzer Washington University School of Medicine in St. Louis Nicole Fettig Washington University School of Medicine in St. Louis Attila Kovacs Washington University School of Medicine in St. Louis See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Devanathan, Sriram; Whitehead, Timothy; Schweitzer, George G.; Fettig, Nicole; Kovacs, Attila; Korach, Kenneth S.; Finck, Brian N.; and Shoghi, Kooresh I., ,"An animal model with a cardiomyocyte-specific deletion of estrogen receptor alpha: Functional, metabolic, and differential network analysis." PLoS One.9,7. e101900. (2014). https://digitalcommons.wustl.edu/open_access_pubs/3326 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Sriram Devanathan, Timothy Whitehead, George G. Schweitzer, Nicole Fettig, Attila Kovacs, Kenneth S. Korach, Brian N. Finck, and Kooresh I. Shoghi This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/3326 An Animal Model with a Cardiomyocyte-Specific Deletion of Estrogen Receptor Alpha: Functional, Metabolic, and Differential Network Analysis Sriram Devanathan1, Timothy Whitehead1, George G. Schweitzer2, Nicole Fettig1, Attila Kovacs3, Kenneth S. -
The Architecture of the Protein Domain Universe
The architecture of the protein domain universe Nikolay V. Dokholyan Department of Biochemistry and Biophysics, The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC 27599 ABSTRACT Understanding the design of the universe of protein structures may provide insights into protein evolution. We study the architecture of the protein domain universe, which has been found to poses peculiar scale-free properties (Dokholyan et al., Proc. Natl. Acad. Sci. USA 99: 14132-14136 (2002)). We examine the origin of these scale-free properties of the graph of protein domain structures (PDUG) and determine that that the PDUG is not modular, i.e. it does not consist of modules with uniform properties. Instead, we find the PDUG to be self-similar at all scales. We further characterize the PDUG architecture by studying the properties of the hub nodes that are responsible for the scale-free connectivity of the PDUG. We introduce a measure of the betweenness centrality of protein domains in the PDUG and find a power-law distribution of the betweenness centrality values. The scale-free distribution of hubs in the protein universe suggests that a set of specific statistical mechanics models, such as the self-organized criticality model, can potentially identify the principal driving forces of molecular evolution. We also find a gatekeeper protein domain, removal of which partitions the largest cluster into two large sub- clusters. We suggest that the loss of such gatekeeper protein domains in the course of evolution is responsible for the creation of new fold families. INTRODUCTION The principles of molecular evolution remain elusive despite fundamental breakthroughs on the theoretical front 1-5 and a growing amount of genomic and proteomic data, over 23,000 solved protein structures 6 and protein functional annotations 7-9. -
ARCHAEAL EVOLUTION Evolutionary Insights from the Vikings
RESEARCH HIGHLIGHTS Nature Reviews Microbiology | Published online 16 Jan 2017; doi:10.1038/nrmicro.2016.198 ARCHAEAL EVOLUTION Evolutionary insights from the Vikings The emergence of the eukaryotic cell ASGARD — after the invisible the closest known homologue of during evolution gave rise to all com- ‘Gods of Asgard’ in Norse mythology. eukaryotic epsilon DNA polymerases primordial plex life forms on Earth, including The superphylum consists of the identified thus far. eukaryotic multicellular organisms such as ani- previously identified Lokiarchaeota Members of the ASGARD super- mals, plants and fungi. However, the and Thorarchaeota phyla, and the phylum were particularly enriched vesicular and origin of eukaryotes and their char- newly identified Odinarchaeota and for eukaryotic signature proteins trafficking acteristic structural complexity has Heimdallarchaeota phyla. Using that are involved in intracellular components remained a mystery. The most recent phylogenomics, they discovered trafficking and secretion. Several are derived insights into eukaryogenesis support a strong phylogenetic association proteins contained domain signatures the endosymbiotic theory, which between ASGARD lineages and of eukaryotic transport protein from our proposes that the first eukaryotic eukaryotes that placed the eukaryote particle (TRAPP) complexes, which archaeal cell arose from archaea through the lineage in close proximity to the are involved in transport from the ancestor acquisition of an alphaproteobacterial ASGARD superphylum. endoplasmic -
Daam2 Couples Translocation and Clustering of Wnt Receptor Signalosomes Through Rac1 Carlo D
© 2021. Published by The Company of Biologists Ltd | Journal of Cell Science (2021) 134, jcs251140. doi:10.1242/jcs.251140 RESEARCH ARTICLE Daam2 couples translocation and clustering of Wnt receptor signalosomes through Rac1 Carlo D. Cristobal1,QiYe2, Juyeon Jo2, Xiaoyun Ding3, Chih-Yen Wang2, Diego Cortes2, Zheng Chen4 and Hyun Kyoung Lee1,3,5,* ABSTRACT Dynamic polymerization of the Dishevelled proteins functions at Wnt signaling plays a critical role in development across species and the core of the Wnt signalosome by interacting with both the is dysregulated in a host of human diseases. A key step in signal Frizzled Wnt receptors and low-density lipoprotein receptor-related transduction is the formation of Wnt receptor signalosomes, during protein 5/6 (LRP5/6), leading to recruitment of Axin proteins β which a large number of components translocate to the membrane, from the -catenin destruction complex (MacDonald et al., 2009; cluster together and amplify downstream signaling. However, the Schwarz-Romond et al., 2007). However, the exact composition molecular processes that coordinate these events remain poorly and mechanisms of signalosome assembly at the plasma membrane defined. Here, we show that Daam2 regulates canonical Wnt remain unclear. signaling via the PIP –PIP5K axis through its association with Rac1. The hallmark of canonical Wnt signaling is the accumulation and 2 β Clustering of Daam2-mediated Wnt receptor complexes requires both translocation of -catenin into the nucleus for gene transcription, β Rac1 and PIP5K, and PIP5K promotes membrane localization of these whereas non-canonical Wnt signaling is -catenin independent and complexes in a Rac1-dependent manner. Importantly, the localization involves assembly/disassembly of the actin cytoskeleton, polarized of Daam2 complexes and Daam2-mediated canonical Wnt signaling is cell shape changes and cell migration (Niehrs, 2012; Schlessinger dependent upon actin polymerization.