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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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. -
Directed Proximity-Dependent Biotin Labelling in Zebrafish
TOOLS AND RESOURCES In vivo proteomic mapping through GFP- directed proximity-dependent biotin labelling in zebrafish Zherui Xiong1, Harriet P Lo1, Kerrie-Ann McMahon1, Nick Martel1, Alun Jones1, Michelle M Hill2, Robert G Parton1,3*, Thomas E Hall1* 1Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia; 2QIMR Berghofer Medical Research Institute, Herston, Australia; 3Centre for Microscopy and Microanalysis, The University of Queensland, Brisbane, Australia Abstract Protein interaction networks are crucial for complex cellular processes. However, the elucidation of protein interactions occurring within highly specialised cells and tissues is challenging. Here, we describe the development, and application, of a new method for proximity- dependent biotin labelling in whole zebrafish. Using a conditionally stabilised GFP-binding nanobody to target a biotin ligase to GFP-labelled proteins of interest, we show tissue-specific proteomic profiling using existing GFP-tagged transgenic zebrafish lines. We demonstrate the applicability of this approach, termed BLITZ (Biotin Labelling In Tagged Zebrafish), in diverse cell types such as neurons and vascular endothelial cells. We applied this methodology to identify interactors of caveolar coat protein, cavins, in skeletal muscle. Using this system, we defined specific interaction networks within in vivo muscle cells for the closely related but functionally distinct Cavin4 and Cavin1 proteins. *For correspondence: Introduction [email protected] (RGP); [email protected] (TEH) The understanding of the biological functions of a protein requires detailed knowledge of the mole- cules with which it interacts. However, robust elucidation of interacting proteins, including not only Competing interests: The strong direct protein-protein interactions, but also weak, transient or indirect interactions is challeng- authors declare that no ing. -
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. -
Cell-Free Fusion of Bacteria-Containing Phagosomes with Endocytic Compartments
Cell-free fusion of bacteria-containing phagosomes with endocytic compartments Ulrike Becken, Andreas Jeschke, Katharina Veltman1, and Albert Haas2 Cell Biology Institute, University of Bonn, Ulrich-Haberland-Strasse 61a, 53121 Bonn, Germany Edited by Reinhard Jahn, Max Planck Institute for Biophysical Chemistry, Goettingen, Germany, and accepted by the Editorial Board October 4, 2010 (received for review June 2, 2010) Uptake of microorganisms by professional phagocytic cells leads to duced fusion of SCPs with lysosomes compared to phagosomes formation of a new subcellular compartment, the phagosome, containing inert particles (10–12), others did not (13). Fusogeni- which matures by sequential fusion with early and late endocytic city of SCPs with other endocytic organelles in macrophages has compartments, resulting in oxidative and nonoxidative killing of been investigated little (10). the enclosed microbe. Few tools are available to study membrane To truly understand the (dys)function of phagosome matura- fusion between phagocytic and late endocytic compartments in tion at a molecular level, the fusion of endocytic with microbe- general and with pathogen-containing phagosomes in particular. containing phagocytic organelles ought to be investigated in We have developed and applied a fluorescence microscopy assay reconstituted systems, yet most published assays used bead- to study fusion of microbe-containing phagosomes with different- containing but not microbe-containing phagosomes (3, 5) and aged endocytic compartments in vitro. This revealed that fusion were limited to fusion of early phagosomes with early endocytic of phagosomes containing nonpathogenic Escherichia coli with organelles (14, 15). Fusion of lysosomes with microbe-containing lysosomes requires Rab7 and SNARE proteins but not organelle phagosomes has been reconstituted only in permeabilized macro- acidification. -
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. -
UVRAG Is Required for Virus Entry Through Combinatorial Interaction with the Class C-Vps Complex and Snares
UVRAG is required for virus entry through combinatorial interaction with the class C-Vps complex and SNAREs Sara Dolatshahi Pirooza, Shanshan Hea, Tian Zhanga, Xiaowei Zhanga, Zhen Zhaoa, Soohwan Oha, Douglas O’Connella, Payam Khalilzadeha, Samad Amini-Bavil-Olyaeea, Michael Farzanb, and Chengyu Lianga,1 aDepartment of Molecular Microbiology and Immunology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033; and bDepartment of Infectious Diseases, The Scripps Research Institute, Jupiter, FL 33458 Edited by Peter Palese, Icahn School of Medicine at Mount Sinai, New York, NY, and approved January 15, 2014 (received for review November 4, 2013) Enveloped viruses exploit the endomembrane system to enter host (R)-SNAREs embedded in the other (3). Specifically, syntaxin 7 cells. Through a cascade of membrane-trafficking events, virus-bearing (STX7; Qa), Vti1b (Qb), and STX8 (Qc) on the LE, when paired vesicles fuse with acidic endosomes and/or lysosomes mediated by with VAMP7 (R), mediate the LE fusion with the lysosome, but SNAREs triggering viral fusion. However, the molecular mechanisms when paired with VAMP8 (R), regulate homotypic fusion of the underlying this process remain elusive. Here, we found that UV- LEs (4). The upstream process regulating LE-associated SNARE radiation resistance-associated gene (UVRAG), an autophagic tumor pairing relies on the class C vacuolar protein sorting (Vps) complex suppressor, is required for the entry of the prototypic negative- (hereafter referred to as C-Vps), composed of Vps11, Vps16, strand RNA virus, including influenza A virus and vesicular stoma- Vps18, and Vps33 as core subunits (5, 6). A recent study indicated titis virus, by a mechanism independent of IFN and autophagy. -
Supplementary Figures 1-14 and Supplementary References
SUPPORTING INFORMATION Spatial Cross-Talk Between Oxidative Stress and DNA Replication in Human Fibroblasts Marko Radulovic,1,2 Noor O Baqader,1 Kai Stoeber,3† and Jasminka Godovac-Zimmermann1* 1Division of Medicine, University College London, Center for Nephrology, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. 2Insitute of Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia 3Research Department of Pathology and UCL Cancer Institute, Rockefeller Building, University College London, University Street, London WC1E 6JJ, UK †Present Address: Shionogi Europe, 33 Kingsway, Holborn, London WC2B 6UF, UK TABLE OF CONTENTS 1. Supplementary Figures 1-14 and Supplementary References. Figure S-1. Network and joint spatial razor plot for 18 enzymes of glycolysis and the pentose phosphate shunt. Figure S-2. Correlation of SILAC ratios between OXS and OAC for proteins assigned to the SAME class. Figure S-3. Overlap matrix (r = 1) for groups of CORUM complexes containing 19 proteins of the 49-set. Figure S-4. Joint spatial razor plots for the Nop56p complex and FIB-associated complex involved in ribosome biogenesis. Figure S-5. Analysis of the response of emerin nuclear envelope complexes to OXS and OAC. Figure S-6. Joint spatial razor plots for the CCT protein folding complex, ATP synthase and V-Type ATPase. Figure S-7. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated by GO to nucleocytoplasmic transport (GO:0006913). Figure S-8. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated to endocytosis (GO:0006897). Figure S-9. Joint spatial razor plots for 401-set proteins annotated by GO to small GTPase mediated signal transduction (GO:0007264) and/or GTPase activity (GO:0003924). -
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. -
Uncoupling the Functions of CALM in VAMP Sorting and Clathrin-Coated Pit Formation
Uncoupling the Functions of CALM in VAMP Sorting and Clathrin-Coated Pit Formation Daniela A. Sahlender¤a, Patrycja Kozik¤b, Sharon E. Miller, Andrew A. Peden¤c, Margaret S. Robinson* Cambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom Abstract CALM (clathrin assembly lymphoid myeloid leukemia protein) is a cargo-selective adaptor for the post-Golgi R-SNAREs VAMPs 2, 3, and 8, and it also regulates the size of clathrin-coated pits and vesicles at the plasma membrane. The present study has two objectives: to determine whether CALM can sort additional VAMPs, and to investigate whether VAMP sorting contributes to CALM-dependent vesicle size regulation. Using a flow cytometry-based endocytosis efficiency assay, we demonstrate that CALM is also able to sort VAMPs 4 and 7, even though they have sorting signals for other clathrin adaptors. CALM homologues are present in nearly every eukaryote, suggesting that the CALM family may have evolved as adaptors for retrieving all post-Golgi VAMPs from the plasma membrane. Using a knockdown/rescue system, we show that wild-type CALM restores normal VAMP sorting in CALM-depleted cells, but that two non-VAMP-binding mutants do not. However, when we assayed the effect of CALM depletion on coated pit morphology, using a fluorescence microscopy- based assay, we found that the two mutants were as effective as wild-type CALM. Thus, we can uncouple the sorting function of CALM from its structural role. Citation: Sahlender DA, Kozik P, Miller SE, Peden AA, Robinson MS (2013) Uncoupling the Functions of CALM in VAMP Sorting and Clathrin-Coated Pit Formation.