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A Network-Informed Analysis of SARS-Cov-2 and Hemophagocytic Lymphohistiocytosis Genes' Interactions Points to Neutrophil Extr
medRxiv preprint doi: https://doi.org/10.1101/2020.07.01.20144121; this version posted July 2, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 A network-informed analysis of SARS-CoV-2 and hemophagocytic 2 lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as 3 mediators of thromBosis in COVID-19 4 5 Jun Ding1, David Earl Hostallero2, Mohamed Reda El Khili2, Gregory Fonseca3, Simon 6 Millette4, Nuzha Noorah3, Myriam Guay-Belzile3, Jonathan Spicer5, Noriko Daneshtalab6, 7 Martin Sirois7, Karine Tremblay8, Amin Emad2,* and Simon Rousseau3,* 8 9 10 1Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA, 15204 11 12 2Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. 13 14 3The Meakins-Christie Laboratories at the Research Institute of the McGill University Heath 15 Centre Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 16 17 4Goodman Cancer Research Centre, McGill University 18 19 5Division of Thoracic and Upper Gastrointestinal Surgery, McGill University Health Centre 20 Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 21 22 6School of Pharmacy, Memorial University of Newfoundland, 300 Prince Philip Drive, Health 23 Sciences Center, St. John’s, Newfoundland, Canada, A1B 3V6 24 25 7Montreal Heart Institute and Department of pharmacology and physiology, Faculty of medicine, 26 Université de Montréal. 27 28 8Pharmacology-physiology Department, Faculty of Medicine and Health Sciences, Université de 29 Sherbrooke, Centre intégré universitaire de santé et de services sociaux du Saguenay–Lac-Saint- 30 Jean (Chicoutimi University Hospital) Research Center, Saguenay, QC, Canada. -
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. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
Cancer Research and Treatment 2003;35(4):304-313 New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology Yong-Wan Kim, Ph.D.1, Min-Je Suh, M.S.1, Jin-Sik Bae, M.S.1, Su Mi Bae, M.S.1, Joo Hee Yoon, M.D.2, Soo Young Hur, M.D.2, Jae Hoon Kim, M.D.2, Duck Young Ro, M.D.2, Joon Mo Lee, M.D.2, Sung Eun Namkoong, M.D.2, Chong Kook Kim, Ph.D.3 and Woong Shick Ahn, M.D.2 1Catholic Research Institutes of Medical Science, 2Department of Obstetrics and Gynecology, College of Medicine, The Catholic University of Korea, Seoul; 3College of Pharmacy, Seoul National University, Seoul, Korea Purpose: This study utilized both mRNA differential significant genes of unknown function affected by the display and the Gene Ontology (GO) analysis to char- HPV-16-derived pathway. The GO analysis suggested that acterize the multiple interactions of a number of genes the cervical cancer cells underwent repression of the with gene expression profiles involved in the HPV-16- cancer-specific cell adhesive properties. Also, genes induced cervical carcinogenesis. belonging to DNA metabolism, such as DNA repair and Materials and Methods: mRNA differential displays, replication, were strongly down-regulated, whereas sig- with HPV-16 positive cervical cancer cell line (SiHa), and nificant increases were shown in the protein degradation normal human keratinocyte cell line (HaCaT) as a con- and synthesis. trol, were used. Each human gene has several biological Conclusion: The GO analysis can overcome the com- functions in the Gene Ontology; therefore, several func- plexity of the gene expression profile of the HPV-16- tions of each gene were chosen to establish a powerful associated pathway, identify several cancer-specific cel- cervical carcinogenesis pathway. -
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. -
Autophagy Suppresses Ras-Driven Epithelial Tumourigenesis by Limiting the Accumulation of Reactive Oxygen Species
OPEN Oncogene (2017) 36, 5576–5592 www.nature.com/onc ORIGINAL ARTICLE Autophagy suppresses Ras-driven epithelial tumourigenesis by limiting the accumulation of reactive oxygen species This article has been corrected since Advance Online Publication and a corrigendum is also printed in this issue. J Manent1,2,3,4,5,12, S Banerjee2,3,4,5, R de Matos Simoes6, T Zoranovic7,13, C Mitsiades6, JM Penninger7, KJ Simpson4,5, PO Humbert3,5,8,9,10 and HE Richardson1,2,5,8,11 Activation of Ras signalling occurs in ~ 30% of human cancers; however, activated Ras alone is not sufficient for tumourigenesis. In a screen for tumour suppressors that cooperate with oncogenic Ras (RasV12)inDrosophila, we identified genes involved in the autophagy pathway. Bioinformatic analysis of human tumours revealed that several core autophagy genes, including GABARAP, correlate with oncogenic KRAS mutations and poor prognosis in human pancreatic cancer, supporting a potential tumour- suppressive effect of the pathway in Ras-driven human cancers. In Drosophila, we demonstrate that blocking autophagy at any step of the pathway enhances RasV12-driven epithelial tissue overgrowth via the accumulation of reactive oxygen species and activation of the Jun kinase stress response pathway. Blocking autophagy in RasV12 clones also results in non-cell-autonomous effects with autophagy, cell proliferation and caspase activation induced in adjacent wild-type cells. Our study has implications for understanding the interplay between perturbations in Ras signalling and autophagy in tumourigenesis, -
On the Move : Endocytic Trafficking in Cell Migration
Erschienen in: Cellular and Molecular Life Sciences ; 72 (2015), 11. - S. 2119-2134 https://dx.doi.org/10.1007/s00018-015-1855-9 On the move: endocytic trafficking in cell migration Tanja Maritzen • Hannah Schachtner • Daniel F. Legler Abstract Directed cell migration is a fundamental process unraveling the contribution of cellular trafficking pathways underlying diverse physiological and pathophysiological to cell migration. phenomena ranging from wound healing and induction of immune responses to cancer metastasis. Recent advances Keywords Endocytosis Á Cellular motility Á Clathrin Á reveal that endocytic trafficking contributes to cell migration Chemotaxis Á Signal transduction Á Vesicular transport in multiple ways. (1) At the level of chemokines and che- mokine receptors: internalization of chemokines by scavenger receptors is essential for shaping chemotactic Introduction gradients in tissue, whereas endocytosis of chemokine re- ceptors and their subsequent recycling is key for maintaining Diverse physiological processes ranging from embryonic a high responsiveness of migrating cells. (2) At the level of development to the induction of immune responses require integrin trafficking and focal adhesion dynamics: endosomal coordinated cell migration within the organism. In addi- pathways do not only modulate adhesion by delivering in- tion, migratory abilities of cells also represent a tegrins to their site of action, but also by supplying factors determining factor in pathological settings such as metas- for focal adhesion disassembly. (3) At the level of extra- tasis and inflammatory diseases. The term cell migration cellular matrix reorganization: endosomal transport comprises a number of different migration modes with contributes to tumor cell migration not only by targeting different mechanistic requirements. -
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). -
Chromosomal Rearrangements Are Commonly Post-Transcriptionally Attenuated in Cancer
bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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. Chromosomal rearrangements are commonly post-transcriptionally attenuated in cancer 1 3 1 3, 4, 5 Emanuel Gonçalves , Athanassios Fragoulis , Luz Garcia-Alonso , Thorsten Cramer , 1,2# 1# Julio Saez-Rodriguez , Pedro Beltrao 1 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK 2 RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, Aachen 52057, Germany 3 Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany 4 NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands 5 ESCAM – European Surgery Center Aachen Maastricht, Germany and The Netherlands # co-last authors: [email protected]; [email protected] Running title: Chromosomal rearrangement attenuation in cancer Keywords: Cancer; Gene dosage; Proteomics; Copy-number variation; Protein complexes 1 bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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. Abstract Chromosomal rearrangements, despite being detrimental, are ubiquitous in cancer and often act as driver events. -
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. -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Human Gene Copy Number Spectra Analysis in Congenital Heart Malformations Aoy Tomita-Mitchell Medical College of Wisconsin
CORE Metadata, citation and similar papers at core.ac.uk Provided by epublications@Marquette Marquette University e-Publications@Marquette Mathematics, Statistics and Computer Science Mathematics, Statistics and Computer Science, Faculty Research and Publications Department of 5-1-2012 Human gene copy number spectra analysis in congenital heart malformations Aoy Tomita-Mitchell Medical College of Wisconsin Donna K. Mahnke Medical College of Wisconsin Craig Struble Marquette University, [email protected] Maureen E. Tuffnell Marquette University Karl D. Stamm Marquette University See next page for additional authors Accepted version. Physiological Genomics, Vol. 44, No. 9 (May 2012): 518-541. DOI. © 2012 The American Physiological Society. Used with permission. Authors Aoy Tomita-Mitchell, Donna K. Mahnke, Craig Struble, Maureen E. Tuffnell, Karl D. Stamm, Mats Hidestrand, Susan Harris, Mary A. Goetsch, Pippa Simpson, David P. Bick, Ulrich Broeckel, Andrew N. Pelech, James S. Tweddell, and Michael Mitchell This article is available at e-Publications@Marquette: https://epublications.marquette.edu/mscs_fac/272 NOT THE PUBLISHED VERSION; this is the author’s final, peer-reviewed manuscript. The published version may be accessed by following the link in the citation at the bottom of the page. Human Gene Copy Number Spectra Analysis in Congenital Heart Malformations Aoy Tomita-Mitchell Department of Surgery, Division of Cardiothoracic Surgery; Biotechnology and Bioengineering Center; Human and Molecular Genetics Center; Medical College of Wisconsin; Milwaukee, WI Donna K. Mahnke Department of Surgery, Division of Cardiothoracic Surgery; Biotechnology and Bioengineering Center; Human and Molecular Genetics Center; Medical College of Wisconsin; Milwaukee, WI Craig A. Struble Department of Mathematics, Statistics and Computer Science; Marquette University; Milwaukee, WI Maureen E.