Structure and Function of Yeast Atg20, a Sorting Nexin That Facilitates Autophagy Induction

Total Page:16

File Type:pdf, Size:1020Kb

Structure and Function of Yeast Atg20, a Sorting Nexin That Facilitates Autophagy Induction Structure and function of yeast Atg20, a sorting nexin that facilitates autophagy induction Hana Popelkaa, Alejandro Damasiob, Jenny E. Hinshawc, Daniel J. Klionskya,d,1, and Michael J. Ragusab,1 aLife Sciences Institute, University of Michigan, Ann Arbor, MI 48109; bDepartment of Chemistry, Dartmouth College, Hanover, NH 03755; cLaboratory of Cell and Molecular Biology, National Institutes of Health, Bethesda, MD 20892; and dDepartment of Molecular, Cellular, and Developmental Biology, University of Michigan, Ann Arbor, MI 48109 Edited by Jennifer Lippincott-Schwartz, Howard Hughes Medical Institute, and approved October 16, 2017 (received for review May 19, 2017) The Atg20 and Snx4/Atg24 proteins have been identified in a screen Snx4 is involved in retrieval of late-Golgi SNAREs and has a for mutants defective in a type of selective macroautophagy/auto- mammalian homolog, SNX4, thought to function in endocytosis phagy. Both proteins are connected to the Atg1 kinase complex, which and intracellular trafficking (8). Homologs of Atg20 exist in fungi is involved in autophagy initiation, and bind phosphatidylinositol-3- from Saccharomyces cerevisiae to Schizosaccharomyces pombe; phosphate. Atg20 and Snx4 contain putative BAR domains, suggesting however, a human sequence-based homolog of Atg20 has not a possible role in membrane deformation, but they have been been identified, although optineurin (OPTN) has been proposed relatively uncharacterized. Here we demonstrate that, in addition as a functional counterpart (9) and SNX30 has been proposed as a to its function in selective autophagy, Atg20 plays a critical role in mammalian equivalent based on its dimerization pattern and the efficient induction of nonselective autophagy. Atg20 is a phylogenetic tree (10–12). The function of Atg20 is unknown, dynamic posttranslationally modified protein that engages both except that it is important for an efficient Cvt pathway, for the structurally stable (PX and BAR) and intrinsically disordered domains degradation of the peroxisomal thiolase enzyme Pot1/Fox3 during for its function. In addition to its PX and BAR domains, Atg20 uses a pexophagy (6), and for clearance of accumulated mitochondria third membrane-binding module, a membrane-inducible amphi- during mitophagy (13). pathic helix present in a previously undescribed location in Atg20 In the present study, we probed the structure and function of within the putative BAR domain. Taken together, these findings the least explored subunit of the Atg1 complex, Atg20. We dem- yield insights into the molecular mechanism of the autophagy onstrate a facilitating role for this protein in autophagy induction, machinery. which requires a hybrid native conformation composed of struc- tured domains mixed with intrinsically disordered regions. We also autophagy | vacuole | yeast demonstrate that Atg20 forms a heterodimer with Snx4 in vitro, and characterize this complex using analytical ultracentrifugation ealthy cells maintain homeostasis via a vital self-cleaning (AUC) and small-angle X-ray scattering (SAXS). These results Hmechanism, macroautophagy (hereinafter autophagy), that show how Atg20 uses distinct regions, including a unique gapped is conserved from yeast to mammals. Autophagy involves the BAR domain, for optimal function. sequestration of cargo by a double-membrane compartment, the phagophore, which expands and seals to form an autophago- Results some. Cargo selection distinguishes nonselective from selective Atg20 Facilitates Autophagy Induction. Previous studies concluded autophagy. Nonselective autophagy engulfs random cytoplasm that Atg20 is not required for nonselective autophagy, because the Δ during starvation, whereas selective autophagy targets specific budding yeast, S. cerevisiae, atg20 strain showed only a minor cargo (e.g., mitochondria, peroxisomes, vacuolar hydrolases) for transport to the vacuole/lysosome (1–3). Each of these processes Significance involves what has been termed the “core” autophagy machinery, proteins that are required for both nonselective and selective Autophagy is a cellular process that results in the capture of autophagy. Many of the core autophagy machinery proteins have cytosolic material in double-membrane vesicles, which sub- conserved homologs from yeast to mammals. sequently fuse with lysosomes to degrade the captured con- Forty-one autophagy-related (Atg) proteins have been identi- tents. Autophagy is essential to maintain cellular homeostasis, fied in fungi, many of which have been categorized into functional respond to cellular stress, and prevent the accumulation of groups (3, 4). The first functional group of Atg proteins assembles material that could damage the cell. The initiation of auto- into the induction complex, also termed the Atg1 complex, to phagy is carried out by the Atg1 complex. Whereas recent initiate autophagy. In budding yeast, this complex for the non- work has provided functional and mechanistic insight into selective autophagy pathway is composed of Atg1, Atg13, Atg17, many components of the Atg1 complex, one member of this Atg29, and Atg31. In mammals, the homologous ULK1 complex complex—Atg20—has remained relatively uncharacterized. is composed of ULK1 (or its homolog ULK2), ATG13, RB1CC1/ Here we report a detailed investigation into the structure and FIP200, and ATG101 (5). Although the stable Atg17-Atg31-Atg29 function of Atg20, including the identification of an amphi- subcomplex is required for efficient nonselective autophagy, it is pathic helix in Atg20 that is required for efficient autophagy not needed for selective autophagic processes. Instead, this sub- and membrane tubulation. complex is replaced by Atg11, which also binds Atg1 and assem- Author contributions: H.P., J.E.H., D.J.K., and M.J.R. designed research; H.P., A.D., and bles along with Snx4 (also termed Atg24) and Atg20. The latter J.E.H. performed research; H.P., A.D., J.E.H., D.J.K., and M.J.R. analyzed data; and H.P., two proteins are sorting nexins containing a PX domain that binds A.D., J.E.H., D.J.K., and M.J.R. wrote the paper. membranes enriched in phosphatidylinositol-3-phosphate (PtdIns3P), The authors declare no conflict of interest. thereby providing a functional connection between the Atg1 complex This article is a PNAS Direct Submission. and the PtdIns 3-kinase complex that also plays a critical role in Published under the PNAS license. autophagy induction (6, 7). 1To whom correspondence may be addressed. Email: [email protected] or michael.j. Recent structural studies have partially clarified the role of [email protected]. some of the subunits of the Atg1/ULK1 complex; however, Snx4 This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10. and Atg20 and their role in the Atg1 complex remain unexplored. 1073/pnas.1708367114/-/DCSupplemental. E10112–E10121 | PNAS | Published online November 7, 2017 www.pnas.org/cgi/doi/10.1073/pnas.1708367114 Downloaded by guest on September 27, 2021 decrease in autophagy activity after 4 h of nitrogen starvation (6). N terminus of Atg20 is disordered. The Atg20[FR] is followed PNAS PLUS Atg20 binds the Atg11 scaffold (2), and a recent report revealed a by the PX domain (residues 160–297), which is connected to a new facilitating function of Atg11 in the autophagy induction BAR domain through a region denoted here as the linker complex (14). This finding led us to revisit the question of whether (residues 298–358). This BAR domain (residues 359–636) has a Atg20 can also function as a facilitator in nonselective autophagy gap in the consensus sequence, which we refer to here as the initiation. To answer this question, we first used the Pho8Δ60 BAR-GAP (residues 487–574) (Fig. 2A). The BAR-GAP is pre- assay to monitor autophagy (15). This assay relies on the cytosolic dicted to be partially disordered, and no similar regions have Pho8Δ60 zymogen, which must be targeted to the vacuole by been observed in any BAR domain structures deposited in the nonselective autophagy to become active. In wild-type (WT) cells, Protein Data Bank (PDB). Together, the results of the sequence- a substantial increase in Pho8Δ60 activity is observed during ni- analyzing algorithms show that the native Atg20 protein is a trogen starvation (Fig. 1A). In comparison, the SEY6210 atg20Δ member of the PX-BAR domain family of sorting nexins (21), strain showed an ∼30% decrease in Pho8Δ60 activity relative to and is enriched in functionally unassigned intrinsically dis- the WT strain (Fig. 1A), a result that may in fact correspond to the ordered protein regions (IDPRs) at the N terminus and in decrease in activity seen previously (6). To check whether this the BAR-GAP. defect is background-dependent, we carried out the Pho8Δ60 as- IDPRs have unique physiochemical properties that render them say in the W303 background and did not detect a clear defect unable to adopt a well-defined 3-dimensional structure. The bi- upon ATG20 deletion (Fig. 1 and SI Appendix,Fig.S1A). ological function of IDPRs relies on various functional elements The Pho8Δ60 assay relies on colorimetric detection of a cleaved including binding modules, which undergo a disorder-to-order substrate and is typically analyzed at least 3–4 h postinduction. transition upon binding proteins, nucleic acids, or lipids (22–25). Accordingly, a defect manifested early in the process, such as at Depending on how these functional elements are identified from a the stage of autophagy initiation, may be difficult to detect with protein amino
Recommended publications
  • Sorting Nexins in Protein Homeostasis Sara E. Hanley1,And Katrina F
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 6 November 2020 doi:10.20944/preprints202011.0241.v1 Sorting nexins in protein homeostasis Sara E. Hanley1,and Katrina F. Cooper2* 1Department of Molecular Biology, Graduate School of Biomedical Sciences, Rowan University, Stratford, NJ, 08084, USA 1 [email protected] 2 [email protected] * [email protected] Tel: +1 (856)-566-2887 1Department of Molecular Biology, Graduate School of Biomedical Sciences, Rowan University, Stratford, NJ, 08084, USA Abstract: Sorting nexins (SNXs) are a highly conserved membrane-associated protein family that plays a role in regulating protein homeostasis. This family of proteins is unified by their characteristic phox (PX) phosphoinositides binding domain. Along with binding to membranes, this family of SNXs also comprises a diverse array of protein-protein interaction motifs that are required for cellular sorting and protein trafficking. SNXs play a role in maintaining the integrity of the proteome which is essential for regulating multiple fundamental processes such as cell cycle progression, transcription, metabolism, and stress response. To tightly regulate these processes proteins must be expressed and degraded in the correct location and at the correct time. The cell employs several proteolysis mechanisms to ensure that proteins are selectively degraded at the appropriate spatiotemporal conditions. SNXs play a role in ubiquitin-mediated protein homeostasis at multiple levels including cargo localization, recycling, degradation, and function. In this review, we will discuss the role of SNXs in three different protein homeostasis systems: endocytosis lysosomal, the ubiquitin-proteasomal, and the autophagy-lysosomal system. The highly conserved nature of this protein family by beginning with the early research on SNXs and protein trafficking in yeast and lead into their important roles in mammalian systems.
    [Show full text]
  • The Endocytic Membrane Trafficking Pathway Plays a Major Role
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Liverpool Repository RESEARCH ARTICLE The Endocytic Membrane Trafficking Pathway Plays a Major Role in the Risk of Parkinson’s Disease Sara Bandres-Ciga, PhD,1,2 Sara Saez-Atienzar, PhD,3 Luis Bonet-Ponce, PhD,4 Kimberley Billingsley, MSc,1,5,6 Dan Vitale, MSc,7 Cornelis Blauwendraat, PhD,1 Jesse Raphael Gibbs, PhD,7 Lasse Pihlstrøm, MD, PhD,8 Ziv Gan-Or, MD, PhD,9,10 The International Parkinson’s Disease Genomics Consortium (IPDGC), Mark R. Cookson, PhD,4 Mike A. Nalls, PhD,1,11 and Andrew B. Singleton, PhD1* 1Molecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 2Instituto de Investigación Biosanitaria de Granada (ibs.GRANADA), Granada, Spain 3Transgenics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 4Cell Biology and Gene Expression Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 5Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, United Kingdom 6Department of Pathophysiology, University of Tartu, Tartu, Estonia 7Computational Biology Group, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA 8Department of Neurology, Oslo University Hospital, Oslo, Norway 9Department of Neurology and Neurosurgery, Department of Human Genetics, McGill University, Montréal, Quebec, Canada 10Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada 11Data Tecnica International, Glen Echo, Maryland, USA ABSTRACT studies, summary-data based Mendelian randomization Background: PD is a complex polygenic disorder.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Evolution of the DAN Gene Family in Vertebrates
    bioRxiv preprint doi: https://doi.org/10.1101/794404; this version posted June 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC 4.0 International license. RESEARCH ARTICLE Evolution of the DAN gene family in vertebrates Juan C. Opazo1,2,3, Federico G. Hoffmann4,5, Kattina Zavala1, Scott V. Edwards6 1Instituto de Ciencias Ambientales y Evolutivas, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile. 2David Rockefeller Center for Latin American Studies, Harvard University, Cambridge, MA 02138, USA. 3Millennium Nucleus of Ion Channels-Associated Diseases (MiNICAD). 4 Department of Biochemistry, Molecular Biology, Entomology, and Plant Pathology, Mississippi State University, Mississippi State, 39762, USA. Cite as: Opazo JC, Hoffmann FG, 5 Zavala K, Edwards SV (2020) Institute for Genomics, Biocomputing, and Biotechnology, Mississippi State Evolution of the DAN gene family in University, Mississippi State, 39762, USA. vertebrates. bioRxiv, 794404, ver. 3 peer-reviewed and recommended by 6 PCI Evolutionary Biology. doi: Department of Organismic and Evolutionary Biology, Harvard University, 10.1101/794404 Cambridge, MA 02138, USA. This article has been peer-reviewed and recommended by Peer Community in Evolutionary Biology Posted: 29 June 2020 doi: 10.24072/pci.evolbiol.100104 ABSTRACT Recommender: Kateryna Makova The DAN gene family (DAN, Differential screening-selected gene Aberrant in Neuroblastoma) is a group of genes that is expressed during development and plays fundamental roles in limb bud formation and digitation, kidney formation and morphogenesis and left-right axis specification.
    [Show full text]
  • Multivariate Analysis Reveals Differentially Expressed Genes
    www.nature.com/scientificreports OPEN Multivariate analysis reveals diferentially expressed genes among distinct subtypes of difuse astrocytic gliomas: diagnostic implications Nerea González‑García1,2, Ana Belén Nieto‑Librero1,2, Ana Luisa Vital3, Herminio José Tao4, María González‑Tablas2,5,6, Álvaro Otero2, Purifcación Galindo‑Villardón1,2, Alberto Orfao2,5,6 & María Dolores Tabernero2,5,6,7* Diagnosis and classifcation of gliomas mostly relies on histopathology and a few genetic markers. Here we interrogated microarray gene expression profles (GEP) of 268 difuse astrocytic gliomas—33 difuse astrocytomas (DA), 52 anaplastic astrocytomas (AA) and 183 primary glioblastoma (GBM)—based on multivariate analysis, to identify discriminatory GEP that might support precise histopathological tumor stratifcation, particularly among inconclusive cases with II–III grade diagnosed, which have diferent prognosis and treatment strategies. Microarrays based GEP was analyzed on 155 difuse astrocytic gliomas (discovery cohort) and validated in another 113 tumors (validation set) via sequential univariate analysis (pairwise comparison) for discriminatory gene selection, followed by nonnegative matrix factorization and canonical biplot for identifcation of discriminatory GEP among the distinct histological tumor subtypes. GEP data analysis identifed a set of 27 genes capable of diferentiating among distinct subtypes of gliomas that might support current histological classifcation. DA + AA showed similar molecular profles with only a few discriminatory genes
    [Show full text]
  • Rabbit Anti-ADAM9/FITC Conjugated Antibody-SL20104R-FITC
    SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-ADAM9/FITC Conjugated antibody SL20104R-FITC Product Name: Anti-ADAM9/FITC Chinese Name: FITC标记的去整合素样金属蛋白酶9抗体 A disintegrin and metalloproteinase domain 9; A disintegrin and metalloproteinase domain 9; ADAM 9 antibody ADAM metallopeptidase domain 9; Cellular disintegrin Alias: related protein; Disintegrin and metalloproteinase domain 9; MCMP; MDC9; Meltrin gamma; Metalloprotease disintegrin cysteine rich protein 9; Mltng; Myeloma cell metalloproteinase; ADAM9_HUMAN. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Cow,Rabbit,Sheep, ICC=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 88kDa Form: Lyophilized or Liquid Concentration: 2mg/1ml immunogen: KLH conjugated synthetic peptide derived from human ADAM9 Lsotype: IgGwww.sunlongbiotech.com Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: This gene encodes a member of the ADAM (a disintegrin and metalloprotease domain) family. Members of this family are membrane-anchored proteins structurally related to Product Detail: snake venom disintegrins, and have been implicated in a variety of biological processes involving cell-cell and cell-matrix interactions, including fertilization, muscle development, and neurogenesis.
    [Show full text]
  • Identification of Differentially Expressed Genes Between Primary Lung Cancer and Lymph Node Metastasis Via Bioinformatic Analysis
    3754 ONCOLOGY LETTERS 18: 3754-3768, 2019 Identification of differentially expressed genes between primary lung cancer and lymph node metastasis via bioinformatic analysis NAN ZHANG and SHAO-WEI ZHANG Department of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei 050000, P.R. China Received January 10, 2019; Accepted July 12, 2019 DOI: 10.3892/ol.2019.10723 Abstract. Lung cancer (LC), with its high morbidity and cBioPortal. A total of 308 DEGs were identified in the two mortality rates, is one of the most widespread and malignant microarray datasets, which were mainly enriched during neoplasms. Mediastinal lymph node metastasis (MLNM) cellular processes, including the Gene Ontology terms ‘cell’, severely affects postoperative survival of patients with LC. ‘catalytic activity’, ‘molecular function regulator’, ‘signal trans- Additionally, the molecular mechanisms of LC with MLNM ducer activity’ and ‘binding’. The PPI network was composed (MM LC) remain not well understood. To identify the key of 315 edges and 167 nodes. Its significant module had 11 hub biomarkers in its carcinogenesis and development, the data- genes, and high expression of actin β, MYC, arginine vaso- sets GSE23822 and GSE13213 were obtained from the Gene pressin, vesicle associated membrane protein 2 and integrin Expression Omnibus database. The differentially expressed subunit β1, and low expression of NOTCH1, synaptojanin 2 genes (DEGs) were identified, and the Database for Annotation, and intersectin 2 were significantly associated with poor OS. Visualization and Integrated Discovery was used to perform In summary, hub genes and DEGs presented in the present functional annotations of DEGs. Search Tool for the Retrieval study may help identify underlying targets for diagnostic and of Interacting Genes and Cytoscape were utilized to obtain the therapeutic methods for MM LC.
    [Show full text]
  • The PX Domain Protein Interaction Network in Yeast
    The PX domain protein interaction network in yeast Zur Erlangung des akademischen Grades eines DOKTORS DER NATURWISSENSCHAFTEN (Dr. rer. nat.) der Fakultät für Chemie und Biowissenschaften der Universität Karlsruhe (TH) vorgelegte DISSERTATION von Dipl. Biol. Carolina S. Müller aus Buenos Aires Dekan: Prof. Dr. Manfred Kappes Referent: Dr. Nils Johnsson Korreferent: HD. Dr. Adam Bertl Tag der mündlichen Prüfung: 17.02.2005 I dedicate this work to my Parents and Alex TABLE OF CONTENTS Table of contents Introduction 1 Yeast as a model organism in proteome analysis 1 Protein-protein interactions 2 Protein Domains in Yeast 3 Classification of protein interaction domains 3 Phosphoinositides 5 Function 5 Structure 5 Biochemistry 6 Localization 7 Lipid Binding Domains 8 The PX domain 10 Function of PX domain containing proteins 10 PX domain structure and PI binding affinities 10 Yeast PX domain containing proteins 13 PX domain and protein-protein interactions 13 Lipid binding domains and protein-protein interactions 14 The PX-only proteins Grd19p and Ypt35p and their phenotypes 15 Aim of my PhD work 16 Project outline 16 Searching for interacting partners 16 Confirmation of obtained interactions via a 16 second independent method Mapping the interacting region 16 The Two-Hybrid System 17 Definition 17 Basic Principle of the classical Yeast-Two Hybrid System 17 Peptide Synthesis 18 SPOT synthesis technique 18 Analysis of protein- peptide contact sites based on SPOT synthesis 19 TABLE OF CONTENTS Experimental procedures 21 Yeast two-hybrid assay
    [Show full text]
  • Sorting Nexin 4 and Amphiphysin 2, a New Partnership Between Endocytosis and Intracellular Trafficking
    Research Article 1937 Sorting nexin 4 and amphiphysin 2, a new partnership between endocytosis and intracellular trafficking Corinne Leprince1,*, Erwan Le Scolan1, Brigitte Meunier1, Vincent Fraisier2, Nathalie Brandon1, Jean De Gunzburg1 and Jacques Camonis1 1INSERM U528, 2CNRS UMR144, Institut Curie Section de Recherche, 26 rue d’Ulm, 75248 Paris Cedex 05, France *Author for correspondence (e-mail: [email protected]) Accepted 30 January 2003 Journal of Cell Science 116, 1937-1948 © 2003 The Company of Biologists Ltd doi:10.1242/jcs.00403 Summary Endocytosis is a regulated physiological process by which terminal or full-length SNX4 was able to inhibit transferrin membrane receptors and their extracellular ligands are receptor endocytosis as efficiently as the SH3 domain of internalized. After internalization, they enter the amphiphysin 2. At lower levels of expression, SNX4 endosomal trafficking pathway for sorting and processing. colocalized with transferrin-containing vesicles, some of Amphiphysins consist of a family of proteins conserved which were also positive for amphiphysin 2. These results throughout evolution that are crucial elements of the indicate that SNX4 may be part of the endocytic machinery endocytosis machinery in mammalian cells. They act as or, alternatively, that SNX4 may associate with key adaptors for a series of proteins important for the endocytic elements of endocytosis such as amphiphysin 2 and process, such as dynamin. In order to improve our sequester them when overexpressed. The presence of knowledge of amphiphysin function, we performed a two- amphiphysin 2 on intracellular vesicles and its interplay hybrid screen with the N-terminal part of murine with SNX4, which is likely to take part in intracellular amphiphysin 2 (residues 1-304).
    [Show full text]
  • Integrating Protein Copy Numbers with Interaction Networks to Quantify Stoichiometry in Mammalian Endocytosis
    bioRxiv preprint doi: https://doi.org/10.1101/2020.10.29.361196; this version posted October 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Integrating protein copy numbers with interaction networks to quantify stoichiometry in mammalian endocytosis Daisy Duan1, Meretta Hanson1, David O. Holland2, Margaret E Johnson1* 1TC Jenkins Department of Biophysics, Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218. 2NIH, Bethesda, MD, 20892. *Corresponding Author: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.10.29.361196; this version posted October 29, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Abstract Proteins that drive processes like clathrin-mediated endocytosis (CME) are expressed at various copy numbers within a cell, from hundreds (e.g. auxilin) to millions (e.g. clathrin). Between cell types with identical genomes, copy numbers further vary significantly both in absolute and relative abundance. These variations contain essential information about each protein’s function, but how significant are these variations and how can they be quantified to infer useful functional behavior? Here, we address this by quantifying the stoichiometry of proteins involved in the CME network. We find robust trends across three cell types in proteins that are sub- vs super-stoichiometric in terms of protein function, network topology (e.g.
    [Show full text]
  • Downregulation of Glial Genes Involved in Synaptic Function
    RESEARCH ARTICLE Downregulation of glial genes involved in synaptic function mitigates Huntington’s disease pathogenesis Tarik Seref Onur1,2,3†, Andrew Laitman2,4,5†, He Zhao2, Ryan Keyho2, Hyemin Kim2, Jennifer Wang2, Megan Mair1,2,3, Huilan Wang6, Lifang Li1,2, Alma Perez2, Maria de Haro1,2, Ying-Wooi Wan2, Genevera Allen2,7, Boxun Lu6, Ismael Al-Ramahi1,2, Zhandong Liu2,4,5, Juan Botas1,2,3,4* 1Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, United States; 2Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital, Houston, United States; 3Genetics & Genomics Graduate Program, Baylor College of Medicine, Houston, United States; 4Quantitative & Computational Biosciences, Baylor College of Medicine, Houston, United States; 5Department of Pediatrics, Baylor College of Medicine, Houston, United States; 6State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Fudan University, Shanghai, China; 7Departments of Electrical & Computer Engineering, Statistics and Computer Science, Rice University, Houston, United States Abstract Most research on neurodegenerative diseases has focused on neurons, yet glia help form and maintain the synapses whose loss is so prominent in these conditions. To investigate the contributions of glia to Huntington’s disease (HD), we profiled the gene expression alterations of *For correspondence: Drosophila expressing human mutant Huntingtin (mHTT) in either glia or neurons and compared [email protected] these changes to what is observed in HD human and HD mice striata. A large portion of conserved genes are concordantly dysregulated across the three species; we tested these genes in a high- †These authors contributed throughput behavioral assay and found that downregulation of genes involved in synapse assembly equally to this work mitigated pathogenesis and behavioral deficits.
    [Show full text]
  • Genome-Wide Association Studies of Smooth Pursuit and Antisaccade Eye Movements in Psychotic Disorders: findings from the B-SNIP Study
    OPEN Citation: Transl Psychiatry (2017) 7, e1249; doi:10.1038/tp.2017.210 www.nature.com/tp ORIGINAL ARTICLE Genome-wide association studies of smooth pursuit and antisaccade eye movements in psychotic disorders: findings from the B-SNIP study R Lencer1, LJ Mills2, N Alliey-Rodriguez3, R Shafee4,5,AMLee6, JL Reilly7, A Sprenger8, JE McDowell9, SA McCarroll4, MS Keshavan10, GD Pearlson11,12, CA Tamminga13, BA Clementz9, ES Gershon3, JA Sweeney13,14 and JR Bishop6,15 Eye movement deviations, particularly deficits of initial sensorimotor processing and sustained pursuit maintenance, and antisaccade inhibition errors, are established intermediate phenotypes for psychotic disorders. We here studied eye movement measures of 849 participants from the Bipolar-Schizophrenia Network on Intermediate Phenotypes (B-SNIP) study (schizophrenia N = 230, schizoaffective disorder N = 155, psychotic bipolar disorder N = 206 and healthy controls N = 258) as quantitative phenotypes in relation to genetic data, while controlling for genetically derived ancestry measures, age and sex. A mixed-modeling genome-wide association studies approach was used including ~ 4.4 million genotypes (PsychChip and 1000 Genomes imputation). Across participants, sensorimotor processing at pursuit initiation was significantly associated with a single nucleotide polymorphism in IPO8 (12p11.21, P =8×10− 11), whereas suggestive associations with sustained pursuit maintenance were identified with SNPs in SH3GL2 (9p22.2, P =3×10− 8). In participants of predominantly African ancestry, sensorimotor processing was also significantly associated with SNPs in PCDH12 (5q31.3, P = 1.6 × 10 − 10), and suggestive associations were observed with NRSN1 (6p22.3, P = 5.4 × 10 −8) and LMO7 (13q22.2, P = 7.3x10−8), whereas antisaccade error rate was significantly associated with a non-coding region at chromosome 7 (P = 6.5 × 10− 9).
    [Show full text]