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Differential Requirement of NPHP1 for Compartmentalized Protein Localization During
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.20.427412; this version posted January 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 1 Differential requirement of NPHP1 for compartmentalized protein localization during 2 photoreceptor outer segment development and maintenance 3 4 Poppy Dattaa,b,#, J. Thomas Cribbsa,b,#, and Seongjin Seoa,b,* 5 6 aDepartment of Ophthalmology and Visual Sciences, The University of Iowa Carver College of Medicine, Iowa 7 City, IA 52242, U.S.A. 8 bInstitute for Vision Research, The University of Iowa, Iowa City, IA 52242, U.S.A. 9 10 11 #Equally contributed 12 *To whom correspondence should be addressed: 13 Seongjin Seo, PhD 14 Department of Ophthalmology and Visual Sciences 15 University of Iowa College of Medicine 16 375 Newton Rd 17 3181D MERF 18 Iowa City, IA 52242, U.S.A. 19 Phone: 1-319-353-4477 20 Email: [email protected] 21 22 Running title: Roles of NPHP1 in photoreceptors 23 Keywords: cilia; ciliary gate; compartmentalization; inherited retinal degeneration; nonsense-associated altered 24 splicing; protein confinement; transition zone 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.20.427412; this version posted January 20, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Stx5-Mediated ER-Golgi Transport in Mammals and Yeast Linders, Peter Ta; Horst, Chiel Van Der; Beest, Martin Ter; Van Den Bogaart, Geert
University of Groningen Stx5-Mediated ER-Golgi Transport in Mammals and Yeast Linders, Peter Ta; Horst, Chiel van der; Beest, Martin Ter; van den Bogaart, Geert Published in: Cells DOI: 10.3390/cells8080780 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2019 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Linders, P. T., Horst, C. V. D., Beest, M. T., & van den Bogaart, G. (2019). Stx5-Mediated ER-Golgi Transport in Mammals and Yeast. Cells, 8(8), [cells8080780]. https://doi.org/10.3390/cells8080780 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. -
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. -
Defining the Kv2.1–Syntaxin Molecular Interaction Identifies a First-In-Class Small Molecule Neuroprotectant
Defining the Kv2.1–syntaxin molecular interaction identifies a first-in-class small molecule neuroprotectant Chung-Yang Yeha,b,1, Zhaofeng Yec,d,1, Aubin Moutale, Shivani Gaura,b, Amanda M. Hentonf,g, Stylianos Kouvarosf,g, Jami L. Salomana, Karen A. Hartnett-Scotta,b, Thanos Tzounopoulosa,f,g, Rajesh Khannae, Elias Aizenmana,b,g,2, and Carlos J. Camachoc,2 aDepartment of Neurobiology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; bPittsburgh Institute for Neurodegenerative Diseases, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; cDepartment of Computational and Systems Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; dSchool of Medicine, Tsinghua University, Beijing 100871, China; eDepartment of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ 85724; fDepartment of Otolaryngology, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261; and gPittsburgh Hearing Research Center, University of Pittsburgh School of Medicine, Pittsburgh, PA 15261 Edited by Lily Yeh Jan, University of California, San Francisco, CA, and approved June 19, 2019 (received for review February 27, 2019) + The neuronal cell death-promoting loss of cytoplasmic K follow- (13). The Kv2.1-dependent cell death pathway is normally initiated ing injury is mediated by an increase in Kv2.1 potassium channels in by the oxidative liberation of zinc from intracellular metal-binding the plasma membrane. This phenomenon relies on Kv2.1 binding to proteins (14), leading to the sequential phosphorylation of syntaxin 1A via 9 amino acids within the channel intrinsically disor- Kv2.1 residues Y124 and S800 by Src and p38 kinases, respectively dered C terminus. Preventing this interaction with a cell and blood- (15–17). -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
The Schizophrenia Risk Gene Product Mir-137 Alters Presynaptic Plasticity
The schizophrenia risk gene product miR-137 alters presynaptic plasticity The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Siegert, S., J. Seo, E. J. Kwon, A. Rudenko, S. Cho, W. Wang, Z. Flood, et al. 2015. “The schizophrenia risk gene product miR-137 alters presynaptic plasticity.” Nature neuroscience 18 (7): 1008-1016. doi:10.1038/nn.4023. http://dx.doi.org/10.1038/nn.4023. Published Version doi:10.1038/nn.4023 Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:24983896 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Neurosci Author Manuscript. Author manuscript; Author Manuscript available in PMC 2016 January 01. Published in final edited form as: Nat Neurosci. 2015 July ; 18(7): 1008–1016. doi:10.1038/nn.4023. The schizophrenia risk gene product miR-137 alters presynaptic plasticity Sandra Siegert1,2, Jinsoo Seo1,2,*, Ester J. Kwon1,2,*, Andrii Rudenko1,2,*, Sukhee Cho1,2, Wenyuan Wang1,2, Zachary Flood1,2, Anthony J. Martorell1,2, Maria Ericsson4, Alison E. Mungenast1,2, and Li-Huei Tsai1,2,3,5 1Picower Institute for Learning and Memory, Massachusetts Institute of Technology (MIT), Cambridge, MA, USA 2Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA 3Broad Institute of MIT and Harvard, Cambridge, MA, USA 4Department of Cell Biology, Harvard Medical School, Boston, MA 02115, USA Abstract Non-coding variants in the human MIR137 gene locus increase schizophrenia risk at a genome- wide significance level. -
743914V1.Full.Pdf
bioRxiv preprint doi: https://doi.org/10.1101/743914; this version posted August 24, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Cross-talks of glycosylphosphatidylinositol biosynthesis with glycosphingolipid biosynthesis 2 and ER-associated degradation 3 4 Yicheng Wang1,2, Yusuke Maeda1, Yishi Liu3, Yoko Takada2, Akinori Ninomiya1, Tetsuya 5 Hirata1,2,4, Morihisa Fujita3, Yoshiko Murakami1,2, Taroh Kinoshita1,2,* 6 7 1Research Institute for Microbial Diseases, Osaka University, Suita, Osaka 565-0871, Japan 8 2WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, 9 Japan 10 3Key Laboratory of Carbohydrate Chemistry and Biotechnology, Ministry of Education, 11 School of Biotechnology, Jiangnan University, Wuxi, Jiangsu 214122, China 12 4Current address: Center for Highly Advanced Integration of Nano and Life Sciences (G- 13 CHAIN), Gifu University, 1-1 Yanagido, Gifu-City, Gifu 501-1193, Japan 14 15 *Correspondence and requests for materials should be addressed to T.K. (email: 16 [email protected]) 17 18 19 Glycosylphosphatidylinositol (GPI)-anchored proteins and glycosphingolipids interact with 20 each other in the mammalian plasma membranes, forming dynamic microdomains. How their 21 interaction starts in the cells has been unclear. Here, based on a genome-wide CRISPR-Cas9 22 genetic screen for genes required for GPI side-chain modification by galactose in the Golgi 23 apparatus, we report that b1,3-galactosyltransferase 4 (B3GALT4), also called GM1 24 ganglioside synthase, additionally functions in transferring galactose to the N- 25 acetylgalactosamine side-chain of GPI. -
Supplementary Tables
Supplementary Tables Supplementary Table S1: Preselected miRNAs used in feature selection Univariate Cox proportional hazards regression analysis of the endpoint freedom from recurrence in the training set (DKTK-ROG sample) allowed the pre-selection of 524 miRNAs (P< 0.5), which were used in the feature selection. P-value was derived from log-rank test. miRNA p-value miRNA p-value miRNA p-value miRNA p-value hsa-let-7g-3p 0.0001520 hsa-miR-1304-3p 0.0490161 hsa-miR-7108-5p 0.1263245 hsa-miR-6865-5p 0.2073121 hsa-miR-6825-3p 0.0004257 hsa-miR-4298 0.0506194 hsa-miR-4453 0.1270967 hsa-miR-6893-5p 0.2120664 hsa-miR-668-3p 0.0005188 hsa-miR-484 0.0518625 hsa-miR-200a-5p 0.1276345 hsa-miR-25-3p 0.2123829 hsa-miR-3622b-3p 0.0005885 hsa-miR-6851-3p 0.0531446 hsa-miR-6090 0.1278692 hsa-miR-3189-5p 0.2136060 hsa-miR-6885-3p 0.0006452 hsa-miR-1276 0.0557418 hsa-miR-148b-3p 0.1279811 hsa-miR-6073 0.2139702 hsa-miR-6875-3p 0.0008188 hsa-miR-3173-3p 0.0559962 hsa-miR-4425 0.1288330 hsa-miR-765 0.2141536 hsa-miR-487b-5p 0.0011381 hsa-miR-650 0.0564616 hsa-miR-6798-3p 0.1293342 hsa-miR-338-5p 0.2153079 hsa-miR-210-5p 0.0012316 hsa-miR-6133 0.0571407 hsa-miR-4472 0.1300006 hsa-miR-6806-5p 0.2173515 hsa-miR-1470 0.0012822 hsa-miR-4701-5p 0.0571720 hsa-miR-4465 0.1304841 hsa-miR-98-5p 0.2184947 hsa-miR-6890-3p 0.0016539 hsa-miR-202-3p 0.0575741 hsa-miR-514b-5p 0.1308790 hsa-miR-500a-3p 0.2185577 hsa-miR-6511b-3p 0.0017165 hsa-miR-4733-5p 0.0616138 hsa-miR-378c 0.1317442 hsa-miR-4515 0.2187539 hsa-miR-7109-3p 0.0021381 hsa-miR-595 0.0629350 hsa-miR-3121-3p -
Syntaxin 16'S Newly Deciphered Roles in Autophagy
cells Perspective Syntaxin 16’s Newly Deciphered Roles in Autophagy Bor Luen Tang 1,2 1 Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117596, Singapore; [email protected]; Tel.: +65-6516-1040 2 NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore 119077, Singapore Received: 19 November 2019; Accepted: 6 December 2019; Published: 17 December 2019 Abstract: Syntaxin 16, a Qa-SNARE (soluble N-ethylmaleimide-sensitive factor activating protein receptor), is involved in a number of membrane-trafficking activities, particularly transport processes at the trans-Golgi network (TGN). Recent works have now implicated syntaxin 16 in the autophagy process. In fact, syntaxin 16 appears to have dual roles, firstly in facilitating the transport of ATG9a-containing vesicles to growing autophagosomes, and secondly in autolysosome formation. The former involves a putative SNARE complex between syntaxin 16, VAMP7 and SNAP-47. The latter occurs via syntaxin 16’s recruitment by Atg8/LC3/GABARAP family proteins to autophagosomes and endo-lysosomes, where syntaxin 16 may act in a manner that bears functional redundancy with the canonical autophagosome Qa-SNARE syntaxin 17. Here, I discuss these recent findings and speculate on the mechanistic aspects of syntaxin 16’s newly found role in autophagy. Keywords: ATG9; autophagy; autophagosome; SNARE; syntaxin 16; syntaxin 17; VAMP7 1. Introduction Vesicular membrane trafficking [1] and macroautophagy [2] are two highly conserved cellular membrane remodeling processes in eukaryotes. The former mediates the transfer of materials between membrane compartments, while the latter serves to degrade and recycle cytosolic as well as membranous cellular materials. -
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 -
A Potent and Selective Inhibitor of Cdc42 Gtpase Zurab Surviladze University of New Mexico
Cedarville University DigitalCommons@Cedarville Pharmacy Faculty Publications School of Pharmacy 2010 A Potent and Selective Inhibitor of Cdc42 GTPase Zurab Surviladze University of New Mexico Anna Waller University of New Mexico J. Jacob Strouse University of New Mexico Cristian G. Bologa University of New Mexico Oleg Ursu University of New Mexico See next page for additional authors Follow this and additional works at: http://digitalcommons.cedarville.edu/pharmacy_publications Part of the Medicinal and Pharmaceutical Chemistry Commons Recommended Citation 2010: Surviladze, Z., Waller A., Strouse, J., Bologa, C., & Ursu, O., A Potent and Selective Inhibitor of Cdc42 GTPase, submitted to National Institutes of Health. This Web Publication is brought to you for free and open access by DigitalCommons@Cedarville, a service of the Centennial Library. It has been accepted for inclusion in Pharmacy Faculty Publications by an authorized administrator of DigitalCommons@Cedarville. For more information, please contact [email protected]. Authors Zurab Surviladze, Anna Waller, J. Jacob Strouse, Cristian G. Bologa, Oleg Ursu, Virginia M. Salas, Genevieve K. Phillips, John F. Parkinson, Elsa Romero, Angela Wandinger-Ness, Larry A. Sklar, Chad E. Schroeder, Denise S. Simpson, Julica Nöth, Jenna Wang, Jennifer E. Golden, and Jeffrey Aubé This web publication is available at DigitalCommons@Cedarville: http://digitalcommons.cedarville.edu/pharmacy_publications/19 Probe Report Title: A Potent and Selective Inhibitor of Cdc42 GTPase Authors: UNM Center for Molecular Discovery: Zurab Surviladze, Anna Waller, J. Jacob Strouse, Cristian Bologa, Oleg Ursu, Virginia Salas, John F. Parkinson, Genevieve K. Phillips, Elsa Romero, Angela Wandinger-Ness and Larry A. Sklar. Kansas University Specialized Chemistry Center: Chad Schroeder, Denise Simpson, Julica Nöth, Jenna Wang, Jennifer Golden, and Jeffrey Aubé.