Identification of the SNARE Proteins Involved in the Postsynaptic Membrane Trafficking
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Biophysical Network Modelling of the Dlgn Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells
RESEARCH ARTICLE Biophysical Network Modelling of the dLGN Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells Thomas Heiberg1, Espen Hagen1,2, Geir Halnes1, Gaute T. Einevoll1,3* 1 Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences, Ås, Norway, 2 Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and a11111 JARA BRAIN Institute I, Jülich Research Centre, Jülich, Germany, 3 Department of Physics, University of Oslo, Oslo, Norway * [email protected] Abstract OPEN ACCESS Despite its prominent placement between the retina and primary visual cortex in the early Citation: Heiberg T, Hagen E, Halnes G, Einevoll GT visual pathway, the role of the dorsal lateral geniculate nucleus (dLGN) in molding and regu- (2016) Biophysical Network Modelling of the dLGN lating the visual signals entering the brain is still poorly understood. A striking feature of the Circuit: Different Effects of Triadic and Axonal Inhibition on Visual Responses of Relay Cells. PLoS dLGN circuit is that relay cells (RCs) and interneurons (INs) form so-called triadic synapses, Comput Biol 12(5): e1004929. doi:10.1371/journal. where an IN dendritic terminal can be simultaneously postsynaptic to a retinal ganglion cell pcbi.1004929 (GC) input and presynaptic to an RC dendrite, allowing for so-called triadic inhibition. Taking Editor: Arnd Roth, University College London, advantage of a recently developed biophysically detailed multicompartmental model for an UNITED KINGDOM IN, we here investigate putative effects of these different inhibitory actions of INs, i.e., triadic Received: August 29, 2015 inhibition and standard axonal inhibition, on the response properties of RCs. -
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. -
SNARE Proteins and the Timing of Neurotransmitter Release
Molecular Psychiatry (1998) 3, 293–297 1998 Stockton Press All rights reserved 1359–4184/98 $12.00 NEWS & VIEWS SNARE proteins and the timing of neurotransmitter release The SNARE complex proteins have been implicated in exocytotic neurotransmitter release and other forms of membrane fusion. Recent work shows that NSF, the ATPase of the SNARE complex, regulates the kinetics of neurotransmitter release and can thereby control the inte- grative properties of synapses. Time is one of the most critical parameters in the func- hydrolyzes ATP. Because SNAREs are found on both tioning of the brain. Information transfer on the time- the synaptic vesicle membrane and the plasma mem- scale of milliseconds (10−3 seconds) is typical through- brane, it has been postulated that the various SNARE out the brain and in certain brain regions, such as the complexes mediate the interaction between the two auditory brainstem, time differences on the order of membranes before fusion and thus may be necessary microseconds (10−6 seconds) are used to define the fre- for neurotransmitter release.2 quency and location of perceived sounds. Thus infor- Evidence for a role for SNARE proteins in neuro- mation processing not only depends on a fast underly- transmitter release has come from a variety of sources. ing process but also on the precise timing of synaptic The most compelling indication of the central impor- activity. Such high temporal fidelity must rely upon tance of the three membrane SNARE proteins is that very finely-regulated molecular mechanisms. However, these proteins are remarkably specific targets of tetanus until recently the identity of these mechanisms has and botulinum toxins, a group of potent neurotoxins been remarkably elusive. -
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. -
Synaptic Ultrastructure of Functionally and Morphologically Characterized Neurons of the Superficial Spinal Dorsal Horn Cat
The Journal of Neuroscience, June 1989, g(8): 1848-l 883 Synaptic Ultrastructure of Functionally and Morphologically Characterized Neurons of the Superficial Spinal Dorsal Horn Cat M. Wthelyi, A. R. Light, and E. Ft. Per1 Department of Physiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, and Second Department of Anatomy, Semmelweis University, Budapest, Hungary Recordings of neuronal unitary discharges evoked by pri- neurons, regardless of gross configuration, were found to mary afferent input were made in the superficial part of the have vesicles in their dendrites, but 3 nocireceptiveneurons spinal cord’s dorsal horn, the marginal zone and substantia received synapses from presynaptic dendritic profiles. gelatinosa (also known as laminae I and II) , using fine mi- cropipette electrodes filled with HRP. After physiological The superficial dorsal horn, laminae I and II, of the spinal cord characterization with respect to primary afferent input, HRP (Brown and Rethelyi, 1981) receivesprimary afferent input prin- was injected intracellularly iontophoretically into the record- cipally or exclusively from fine fibers, myelinated and unmy- ed neuron. Following histochemical processing, the neurons elinated, that pass through the lateral division of the dorsal so delineated were studied at the light and electron micro- rootlets (Sindou et al., 1974; Snyder, 1977; Light and Perl, 1979a, scopic levels. No clear relationship between function and b). However, from the functional standpoint, the input to the either general cellular configuration or synaptic ultrastruc- region from the periphery is diverse (Kumazawa and Perl, 1978; ture appeared in these analyses, although the concentration Rethelyi et al., 1979; Perl, 1984). There have been numerous of dendritic distribution could be related to the nature of descriptions of the structure of neurons and terminal axon sys- primary afferent excitation. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
SNAP-24, a Novel Drosophila SNARE Protein 4057 Proteins Were Purified on Glutathione Beads and Cleaved from the GST Fig
Journal of Cell Science 113, 4055-4064 (2000) 4055 Printed in Great Britain © The Company of Biologists Limited 2000 JCS1894 SNAP-24, a Drosophila SNAP-25 homologue on granule membranes, is a putative mediator of secretion and granule-granule fusion in salivary glands Barbara A. Niemeyer*,‡ and Thomas L. Schwarz§ Department of Molecular and Cellular Physiology, Stanford Medical School, Stanford, CA 94305, USA *Present address: Department of Pharmacology and Toxicology, School of Medicine, University of Saarland, D-66421 Homburg, Germany ‡Author for correspondence (e-mail: [email protected]) §Present address: Harvard Medical School, Division of Neuroscience, The Children’s Hospital, 300 Longwood Avenue, Boston, MA 02115, USA Accepted 16 September; published on WWW 31 October 2000 SUMMARY Fusion of vesicles with target membranes is dependent is not concentrated in synaptic regions. In vitro studies, on the interaction of target (t) and vesicle (v) SNARE however, show that SNAP-24 can form core complexes with (soluble NSF (N-ethylmaleimide-sensitive fusion protein) syntaxin and both synaptic and non-synaptic v-SNAREs. attachment protein receptor) proteins located on opposing High levels of SNAP-24 are found in larval salivary glands, membranes. For fusion at the plasma membrane, the t- where SNAP-24 localizes mainly to granule membranes SNARE SNAP-25 is essential. In Drosophila, the only rather than the plasma membrane. During glue secretion, known SNAP-25 isoform is specific to neuronal axons and the massive exocytotic event of these glands, SNAP-24 synapses and additional t-SNAREs must exist that mediate containing granules fuse with one another and the apical both non-synaptic fusion in neurons and constitutive and membrane, suggesting that glue secretion utilizes regulated fusion in other cells. -
The Discovery and Regulation of Modes of Exocytosis Through the Lens of Computer Vision
THE DISCOVERY AND REGULATION OF MODES OF EXOCYTOSIS THROUGH THE LENS OF COMPUTER VISION Fabio Urbina A thesis submitted to the faculty at the University of North Carolina at Chapel Hill in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the department of Cell Biology and Physiology in the School of Medicine. Chapel Hill 2020 Approved by: Stephanie Gupton Patrick Brennwald Doug Cyr Keith Burridge Shawn Gomez © 2020 Fabio Urbina ALL RIGHTS RESERVED ii ABSTRACT Fabio Urbina: Discovery and Regulation of the Modes of Exocytosis through the lens of computer vision (Under the direction of Stephanie Gupton) The formation of the nervous system involves establishing complex networks of synaptic connections between proper partners, which requires the rapid expansion of the plasma membrane surface area as neurons grow. Critical to the expansion of the plasma membrane is exocytic vesicle fusion, a regulated mechanism driven by soluble N-ethylmaleimide-sensitive factor attachment proteins receptors (SNAREs). Multiple modes of exocytosis have been proposed, with full-vesicle fusion (FVF) and kiss-and-run (KNR) being the best described. The basis of SNARE-mediated fusion, the opening of a fusion pore, and its contribution to plasma membrane expansion remains enigmatic, as vesicle fusion is spatially small and temporally fast. We exploited TIRF microscopy to image VAMP-pHluorin mediated exocytosis in murine embryonic cortical neurons and developed computer-vision software and statistical tools to perform unbiased, efficient identification of exocytic events and uncover spatiotemporal aspects of exocytosis during neuron development. We further developed novel classification algorithms to describe. and classify individual exocytic events. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase