Asna1/TRC40 Controls B-Cell Function and Endoplasmic Reticulum Homeostasis by Ensuring Retrograde Transport
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VAMP3 and VAMP8 Regulate the Development and Functionality of 5 Parasitophorous Vacuoles Housing Leishmania Amazonensis
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.09.195032; this version posted July 9, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 1 2 3 4 VAMP3 and VAMP8 regulate the development and functionality of 5 parasitophorous vacuoles housing Leishmania amazonensis 6 7 8 Olivier Séguin1, Linh Thuy Mai1, Sidney W. Whiteheart2, Simona Stäger1, Albert Descoteaux1* 9 10 11 12 1Institut national de la recherche scientifique, Centre Armand-Frappier Santé Biotechnologie, 13 Laval, Québec, Canada 14 15 2Department of Molecular and Cellular Biochemistry, University of Kentucky College of 16 Medicine, Lexington, Kentucky, United States of America 17 18 19 *Corresponding author: 20 E-mail: [email protected] 21 22 23 24 Short title: SNAREs and Leishmania-harboring communal parasitophorous vacuoles 25 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.09.195032; this version posted July 9, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 4.0 International license. 26 ABSTRACT 27 28 To colonize mammalian phagocytic cells, the parasite Leishmania remodels phagosomes into 29 parasitophorous vacuoles that can be either tight-fitting individual or communal. The molecular 30 and cellular bases underlying the biogenesis and functionality of these two types of vacuoles are 31 poorly understood. -
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. -
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. -
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 Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
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, -
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 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 -
Disease-Related Cellular Protein Networks Differentially Affected
www.nature.com/scientificreports OPEN Disease‑related cellular protein networks diferentially afected under diferent EGFR mutations in lung adenocarcinoma Toshihide Nishimura1,8*, Haruhiko Nakamura1,2,8, Ayako Yachie3,8, Takeshi Hase3,8, Kiyonaga Fujii1,8, Hirotaka Koizumi4, Saeko Naruki4, Masayuki Takagi4, Yukiko Matsuoka3, Naoki Furuya5, Harubumi Kato6,7 & Hisashi Saji2 It is unclear how epidermal growth factor receptor EGFR major driver mutations (L858R or Ex19del) afect downstream molecular networks and pathways. This study aimed to provide information on the infuences of these mutations. The study assessed 36 protein expression profles of lung adenocarcinoma (Ex19del, nine; L858R, nine; no Ex19del/L858R, 18). Weighted gene co-expression network analysis together with analysis of variance-based screening identifed 13 co-expressed modules and their eigen proteins. Pathway enrichment analysis for the Ex19del mutation demonstrated involvement of SUMOylation, epithelial and mesenchymal transition, ERK/mitogen- activated protein kinase signalling via phosphorylation and Hippo signalling. Additionally, analysis for the L858R mutation identifed various pathways related to cancer cell survival and death. With regard to the Ex19del mutation, ROCK, RPS6KA1, ARF1, IL2RA and several ErbB pathways were upregulated, whereas AURK and GSKIP were downregulated. With regard to the L858R mutation, RB1, TSC22D3 and DOCK1 were downregulated, whereas various networks, including VEGFA, were moderately upregulated. In all mutation types, CD80/CD86 (B7), MHC, CIITA and IFGN were activated, whereas CD37 and SAFB were inhibited. Costimulatory immune-checkpoint pathways by B7/CD28 were mainly activated, whereas those by PD-1/PD-L1 were inhibited. Our fndings may help identify potential therapeutic targets and develop therapeutic strategies to improve patient outcomes.