Ring-Like Oligomers of Synaptotagmins and Related C2
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Annexin A2 Flop-Out Mediates the Non-Vesicular Release of Damps/Alarmins from C6 Glioma Cells Induced by Serum-Free Conditions
cells Article Annexin A2 Flop-Out Mediates the Non-Vesicular Release of DAMPs/Alarmins from C6 Glioma Cells Induced by Serum-Free Conditions Hayato Matsunaga 1,2,† , Sebok Kumar Halder 1,3,† and Hiroshi Ueda 1,4,* 1 Pharmacology and Therapeutic Innovation, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8521, Japan; [email protected] (H.M.); [email protected] (S.K.H.) 2 Department of Medical Pharmacology, Graduate School of Biomedical Sciences, Nagasaki University, Nagasaki 852-8523, Japan 3 San Diego Biomedical Research Institute, San Diego, CA 92121, USA 4 Department of Molecular Pharmacology, Graduate School of Pharmaceutical Sciences, Kyoto University, Kyoto 606-8501, Japan * Correspondence: [email protected]; Tel.: +81-75-753-4536 † These authors contributed equally to this work. Abstract: Prothymosin alpha (ProTα) and S100A13 are released from C6 glioma cells under serum- free conditions via membrane tethering mediated by Ca2+-dependent interactions between S100A13 and p40 synaptotagmin-1 (Syt-1), which is further associated with plasma membrane syntaxin-1 (Stx-1). The present study revealed that S100A13 interacted with annexin A2 (ANXA2) and this interaction was enhanced by Ca2+ and p40 Syt-1. Amlexanox (Amx) inhibited the association between S100A13 and ANXA2 in C6 glioma cells cultured under serum-free conditions in the in situ proximity ligation assay. In the absence of Amx, however, the serum-free stress results in a flop-out of ANXA2 Citation: Matsunaga, H.; Halder, through the membrane, without the extracellular release. The intracellular delivery of anti-ANXA2 S.K.; Ueda, H. Annexin A2 Flop-Out antibody blocked the serum-free stress-induced cellular loss of ProTα, S100A13, and Syt-1. -
Identification of Secretory Granule Phosphatidylinositol 4,5-Bisphosphate- Interacting Proteins Using an Affinity Pulldown Strategy*□S
Research Identification of Secretory Granule Phosphatidylinositol 4,5-Bisphosphate- interacting Proteins Using an Affinity Pulldown Strategy*□S Shona L. Osborne‡§, Tristan P. Wallis¶ʈ, Jose L. Jimenez**, Jeffrey J. Gorman¶ʈ, and Frederic A. Meunier‡§‡‡ Phosphatidylinositol 4,5-bisphosphate (PtdIns(4,5)P2) syn- required for secretion is synthesized on the plasma mem- thesis is required for calcium-dependent exocytosis in neu- brane (4), and the binding of vesicle-associated proteins to rosecretory cells. We developed a PtdIns(4,5)P2 bead pull- PtdIns(4,5)P2 in trans is thought to be important for bringing down strategy combined with subcellular fractionation to the vesicle and plasma membranes together prior to exocy- Downloaded from identify endogenous chromaffin granule proteins that inter- tosis to ensure rapid and efficient fusion upon calcium influx act with PtdIns(4,5)P . We identified two synaptotagmin iso- 2 (5). Putative PtdIns(4,5)P effectors include synaptotagmin 1 forms, synaptotagmins 1 and 7; spectrin; ␣-adaptin; and 2 (Syt1) (6, 7), calcium-activated protein for secretion (CAPS) (8, synaptotagmin-like protein 4 (granuphilin) by mass spec- 9), and rabphilin (10). trometry and Western blotting. The interaction between https://www.mcponline.org CAPS binds to PtdIns(4,5)P2 and is a potential PtdIns(4,5)P2 synaptotagmin 7 and PtdIns(4,5)P2 and its functional rele- vance was investigated. The 45-kDa isoform of synaptotag- effector for priming of secretory granule exocytosis (9). How- min 7 was found to be highly expressed in adrenal chromaf- ever, recent work on the CAPS1 knock-out mouse highlighted fin cells compared with PC12 cells and to mainly localize to an involvement of CAPS1 in the refilling or storage of cate- secretory granules by subcellular fractionation, immunoiso- cholamine in mature secretory granules therefore suggesting lation, and immunocytochemistry. -
Synaptotagmin 7 Switches Short-Term Synaptic Plasticity from Depression
www.nature.com/scientificreports OPEN Synaptotagmin 7 switches short‑term synaptic plasticity from depression to facilitation by suppressing synaptic transmission Takaaki Fujii1, Akira Sakurai1, J. Troy Littleton2 & Motojiro Yoshihara1* Short‑term synaptic plasticity is a fast and robust modifcation in neuronal presynaptic output that can enhance release strength to drive facilitation or diminish it to promote depression. The mechanisms that determine whether neurons display short‑term facilitation or depression are still unclear. Here we show that the Ca2+‑binding protein Synaptotagmin 7 (Syt7) determines the sign of short‑term synaptic plasticity by controlling the initial probability of synaptic vesicle (SV) fusion. Electrophysiological analysis of Syt7 null mutants at Drosophila embryonic neuromuscular junctions demonstrate loss of the protein converts the normally observed synaptic facilitation response during repetitive stimulation into synaptic depression. In contrast, overexpression of Syt7 dramatically enhanced the magnitude of short‑term facilitation. These changes in short‑term plasticity were mirrored by corresponding alterations in the initial evoked response, with SV release probability enhanced in Syt7 mutants and suppressed following Syt7 overexpression. Indeed, Syt7 mutants were able to display facilitation in lower [Ca2+] where release was reduced. These data suggest Syt7 does not act by directly sensing residual Ca2+ and argues for the existence of a distinct Ca2+ sensor beyond Syt7 that mediates facilitation. Instead, Syt7 normally suppresses synaptic transmission to maintain an output range where facilitation is available to the neuron. Synaptotagmins (Syts) are a large family of Ca2+ binding proteins, with the Syt1 isoform functioning as the major Ca2+ sensor for synchronous synaptic vesicle (SV) fusion1. Ca2+ also controls presynaptic forms of short-term plasticity, with other Syt isoforms representing promising candidates to mediate these processes. -
Communication Between the Endoplasmic Reticulum and Peroxisomes in Mammalian Cells
Communication between the Endoplasmic Reticulum and Peroxisomes in Mammalian Cells by Rong Hua A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Biochemistry University of Toronto © Copyright by Rong Hua (2017) ii Communication between the Endoplasmic Reticulum and Peroxisomes in Mammalian Cells Rong Hua Doctor of Philosophy Department of Biochemistry University of Toronto 2017 Abstract Peroxisomes are important metabolic organelles found in virtually all eukaryotic cells. Since their discovery, peroxisomes have long been seen in close proximity to the endoplasmic reticulum (ER). The interplay between the two organelles is suggested to be important for peroxisome biogenesis as the ER may serve as a source for both lipids and peroxisomal membrane proteins (PMPs) for peroxisome growth and maintenance. On the other hand, various lipid molecules are exchanged between them for the biosynthesis of specialized lipids such as bile acids, plasmalogens and cholesterol. However, how proteins and lipids are transported between the two organelles is not yet fully understood. Previously, the peroxisomal biogenesis factor PEX16 was shown to serve as a receptor for PMPs in the ER and also as a mediator of the subsequent transport of these ER-targeted PMPs to peroxisomes. Here, I extended these results by carrying out a comprehensive mutational analysis of PEX16 aimed at gaining insights into the molecular targeting signals responsible for its ER-to-peroxisome trafficking and the domain(s) involved in its PMP recruitment function at the ER. I also showed that the recruitment function of PEX16 is conserved in plants. To gain further mechanistic insight into PEX16 function, the proteins proximal to iii PEX16 were identified using the proximity-dependent BioID analysis. -
A Minimum-Labeling Approach for Reconstructing Protein Networks Across Multiple Conditions
A Minimum-Labeling Approach for Reconstructing Protein Networks across Multiple Conditions Arnon Mazza1, Irit Gat-Viks2, Hesso Farhan3, and Roded Sharan1 1 Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 69978, Israel. Email: [email protected]. 2 Dept. of Cell Research and Immunology, Tel Aviv University, Tel Aviv 69978, Israel. 3 Biotechnology Institute Thurgau, University of Konstanz, Unterseestrasse 47, CH-8280 Kreuzlingen, Switzerland. Abstract. The sheer amounts of biological data that are generated in recent years have driven the development of network analysis tools to fa- cilitate the interpretation and representation of these data. A fundamen- tal challenge in this domain is the reconstruction of a protein-protein sub- network that underlies a process of interest from a genome-wide screen of associated genes. Despite intense work in this area, current algorith- mic approaches are largely limited to analyzing a single screen and are, thus, unable to account for information on condition-specific genes, or reveal the dynamics (over time or condition) of the process in question. Here we propose a novel formulation for network reconstruction from multiple-condition data and devise an efficient integer program solution for it. We apply our algorithm to analyze the response to influenza in- fection in humans over time as well as to analyze a pair of ER export related screens in humans. By comparing to an extant, single-condition tool we demonstrate the power of our new approach in integrating data from multiple conditions in a compact and coherent manner, capturing the dynamics of the underlying processes. 1 Introduction With the increasing availability of high-throughput data, network biol- arXiv:1307.7803v1 [q-bio.QM] 30 Jul 2013 ogy has become the method of choice for filtering, interpreting and rep- resenting these data. -
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. -
Supplementary Table 4
Li et al. mir-30d in human cancer Table S4. The probe list down-regulated in MDA-MB-231 cells by mir-30d mimic transfection Gene Probe Gene symbol Description Row set 27758 8119801 ABCC10 ATP-binding cassette, sub-family C (CFTR/MRP), member 10 15497 8101675 ABCG2 ATP-binding cassette, sub-family G (WHITE), member 2 18536 8158725 ABL1 c-abl oncogene 1, receptor tyrosine kinase 21232 8058591 ACADL acyl-Coenzyme A dehydrogenase, long chain 12466 7936028 ACTR1A ARP1 actin-related protein 1 homolog A, centractin alpha (yeast) 18102 8056005 ACVR1 activin A receptor, type I 20790 8115490 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 15688 7979904 ADAM21 ADAM metallopeptidase domain 21 14937 8054254 AFF3 AF4/FMR2 family, member 3 23560 8121277 AIM1 absent in melanoma 1 20209 7921434 AIM2 absent in melanoma 2 19272 8136336 AKR1B10 aldo-keto reductase family 1, member B10 (aldose reductase) 18013 7954777 ALG10 asparagine-linked glycosylation 10, alpha-1,2-glucosyltransferase homolog (S. pombe) 30049 7954789 ALG10B asparagine-linked glycosylation 10, alpha-1,2-glucosyltransferase homolog B (yeast) 28807 7962579 AMIGO2 adhesion molecule with Ig-like domain 2 5576 8112596 ANKRA2 ankyrin repeat, family A (RFXANK-like), 2 23414 7922121 ANKRD36BL1 ankyrin repeat domain 36B-like 1 (pseudogene) 29782 8098246 ANXA10 annexin A10 22609 8030470 AP2A1 adaptor-related protein complex 2, alpha 1 subunit 14426 8107421 AP3S1 adaptor-related protein complex 3, sigma 1 subunit 12042 8099760 ARAP2 ArfGAP with RhoGAP domain, ankyrin repeat and PH domain 2 30227 8059854 ARL4C ADP-ribosylation factor-like 4C 32785 8143766 ARP11 actin-related Arp11 6497 8052125 ASB3 ankyrin repeat and SOCS box-containing 3 24269 8128592 ATG5 ATG5 autophagy related 5 homolog (S. -
Mechanisms of Synaptic Plasticity Mediated by Clathrin Adaptor-Protein Complexes 1 and 2 in Mice
Mechanisms of synaptic plasticity mediated by Clathrin Adaptor-protein complexes 1 and 2 in mice Dissertation for the award of the degree “Doctor rerum naturalium” at the Georg-August-University Göttingen within the doctoral program “Molecular Biology of Cells” of the Georg-August University School of Science (GAUSS) Submitted by Ratnakar Mishra Born in Birpur, Bihar, India Göttingen, Germany 2019 1 Members of the Thesis Committee Prof. Dr. Peter Schu Institute for Cellular Biochemistry, (Supervisor and first referee) University Medical Center Göttingen, Germany Dr. Hans Dieter Schmitt Neurobiology, Max Planck Institute (Second referee) for Biophysical Chemistry, Göttingen, Germany Prof. Dr. med. Thomas A. Bayer Division of Molecular Psychiatry, University Medical Center, Göttingen, Germany Additional Members of the Examination Board Prof. Dr. Silvio O. Rizzoli Department of Neuro-and Sensory Physiology, University Medical Center Göttingen, Germany Dr. Roland Dosch Institute of Developmental Biochemistry, University Medical Center Göttingen, Germany Prof. Dr. med. Martin Oppermann Institute of Cellular and Molecular Immunology, University Medical Center, Göttingen, Germany Date of oral examination: 14th may 2019 2 Table of Contents List of abbreviations ................................................................................. 5 Abstract ................................................................................................... 7 Chapter 1: Introduction ............................................................................ -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Is Synaptotagmin the Calcium Sensor? Motojiro Yoshihara, Bill Adolfsen and J Troy Littleton
315 Is synaptotagmin the calcium sensor? Motojiro Yoshihara, Bill Adolfsen and J Troy Littletonà After much debate, recent progress indicates that the synaptic synaptotagmins, which are transmembrane proteins con- vesicle protein synaptotagmin I probably functions as the taining tandem calcium-binding C2 domains (C2A and calcium sensor for synchronous neurotransmitter release. C2B) (Figure 1a). Synaptotagmin I is an abundant cal- Following calcium influx into presynaptic terminals, cium-binding synaptic vesicle protein [8,9] that has been synaptotagmin I rapidly triggers the fusion of synaptic vesicles demonstrated via genetic studies to be important for with the plasma membrane and underlies the fourth-order efficient synaptic transmission in vivo [10–13]. The C2 calcium cooperativity of release. Biochemical and genetic domains of synaptotagmin I bind negatively-charged studies suggest that lipid and SNARE interactions underlie phospholipids in a calcium-dependent manner [9,14,15, synaptotagmin’s ability to mediate the incredible speed of 16–18]. There is compelling evidence that phospholipid vesicle fusion that is the hallmark of fast synaptic transmission. binding is an effector interaction in vesicle fusion, as the calcium dependence of this process ( 74 mM) and its Addresses rapid kinetics (on a millisecond scale) (Figure 1b) fit Picower Center for Learning and Memory, Department of Biology and reasonably well with the predicted requirements of Department of Brain and Cognitive Sciences, Massachusetts synaptic transmission [15]. In addition to phospholipid Institute of Technology, Cambridge, MA 02139, USA Ãe-mail: [email protected] binding, the calcium-stimulated interaction between synaptotagmin and the t-SNAREs syntaxin and SNAP- 25 [15,19–23] provides a direct link between calcium and Current Opinion in Neurobiology 2003, 13:315–323 the fusion complex. -
Testing for Parallel Genomic and Epigenomic Footprints of Adaptation to Urban Life in a Passerine Bird
SUPPLEMENTARY INFORMATION Testing for parallel genomic and epigenomic footprints of adaptation to urban life in a passerine bird Authors: Aude E. Caizergues1*, Jeremy Le Luyer2, Arnaud Grégoire1, Marta Szulkin3, Juan-Carlos Señar4, Anne Charmantier1†, Charles Perrier5† 1 CEFE, Univ Montpellier, CNRS, Univ Paul Valéry Montpellier 3, EPHE, IRD, Montpellier, France 2 Ifremer, UMR EIO 241, Centre du Pacifique, Taravao, Tahiti, Polynésie française, France 3 Centre of New Technologies, University of Warsaw, S. Banacha 2c, 02-097 Warsaw, Poland 4 Museu de Ciències Naturals de Barcelona, Parc Ciutadella, 08003 Barcelona, Spain 5 CBGP, INRAe, CIRAD, IRD, Montpellier SupAgro, Univ. Montpellier, Montpellier, France † shared senior authorship * Corresponding author: Aude E. Caizergues, 1919 route de Mende, 34293 Montpellier cedex 5, FRANCE Email : [email protected] SUPPLEMENTARY TABLES Table S1: Redundancy analysis (RDA) performed on the genetic data including the Z chromosome. adjusted R- P-value RDA1 RDA2 RDA3 RDA4 squared % variance explained by axes Full RDA 0.018 0.001 0.024 0.021 0.021 0.019 Variables Biplot scores City – Montpellier 0.57 -0.819 0.059 -0.039 0.001 City – Warsaw 0.381 0.883 0.214 0.17 Habitat – Urban 0.001 -0.21 -0.1 0.968 -0.089 Sex – Male 0.004 0.184 0.143 -0.0358 -0.972 % variance explained by axe Partial RDA for city 0.012 0.001 0.025 0.022 Variable Biplot scores City – Montpellier 0.63 -0.776 0.001 City – Warsaw 0.356 0.934 Partial RDA for % variance explained by axe 0.004 0.001 habitat 0.022 Variable Biplot score Habitat – Urban 0.001 0.999 % variance explained by axe Partial RDA for sex 0.002 0.004 0.02 Variable Biplot score Sex – Male 0.005 -0.999 Table S2: Redundancy analysis (RDA) performed on the genetic data without Z chromosome. -
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.