Elucidating the IGFBP2 Signaling Pathway in Glioma Development and Progression
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Identification of BIRC6 As a Novel Intervention Target For
Lamers et al. BMC Cancer 2012, 12:285 http://www.biomedcentral.com/1471-2407/12/285 RESEARCH ARTICLE Open Access Identification of BIRC6 as a novel intervention target for neuroblastoma therapy Fieke Lamers1, Linda Schild1, Jan Koster1, Frank Speleman2, Ingrid ra3, Ellen M Westerhout1, Peter van Sluis1, Rogier Versteeg1, Huib N Caron4 and Jan J Molenaar1,5* Abstract Background: Neuroblastoma are pediatric tumors of the sympathetic nervous system with a poor prognosis. Apoptosis is often deregulated in cancer cells, but only a few defects in apoptotic routes have been identified in neuroblastoma. Methods: Here we investigated genomic aberrations affecting genes of the intrinsic apoptotic pathway in neuroblastoma. We analyzed DNA profiling data (CGH and SNP arrays) and mRNA expression data of 31 genes of the intrinsic apoptotic pathway in a dataset of 88 neuroblastoma tumors using the R2 bioinformatic platform (http://r2.amc.nl). BIRC6 was selected for further analysis as a tumor driving gene. Knockdown experiments were performed using BIRC6 lentiviral shRNA and phenotype responses were analyzed by Western blot and MTT-assays. In addition, DIABLO levels and interactions were investigated with immunofluorescence and co-immunoprecipitation. Results: We observed frequent gain of the BIRC6 gene on chromosome 2, which resulted in increased mRNA expression. BIRC6 is an inhibitor of apoptosis protein (IAP), that can bind and degrade the cytoplasmic fraction of the pro-apoptotic protein DIABLO. DIABLO mRNA expression was exceptionally high in neuroblastoma but the protein was only detected in the mitochondria. Upon silencing of BIRC6 by shRNA, DIABLO protein levels increased and cells went into apoptosis. Co-immunoprecipitation confirmed direct interaction between DIABLO and BIRC6 in neuroblastoma cell lines. -
Exome Sequencing in Bipolar Disorder Reveals Shared Risk Gene AKAP11 with Schizophrenia
medRxiv preprint doi: https://doi.org/10.1101/2021.03.09.21252930; this version posted March 26, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.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 4.0 International license . Exome sequencing in bipolar disorder reveals shared risk gene AKAP11 with schizophrenia Duncan S Palmer1,2,*, Daniel P Howrigan1,2, Sinéad B Chapman2, Rolf Adolfsson3, Nick Bass4, Douglas Blackwood5, Marco PM Boks6, Chia-Yen Chen7,1,2, Claire Churchhouse1,8,2, Aiden P Corvin9, Nicholas Craddock10, David Curtis11,12, Arianna Di Florio13, Faith Dickerson14, Fernando S Goes15, Xiaoming Jia16, Ian Jones10, Lisa Jones17, Lina Jonsson18,19, Rene S Kahn20, Mikael Landén18,21, Adam Locke22, Andrew McIntosh5, Andrew McQuillin4, Derek W Morris23, Michael C O'Donovan24, Roel A Ophoff 25,26, Michael J Owen24, Nancy Pedersen21, Danielle Posthuma27, Andreas Reif28, Neil Risch29, Catherine Schaefer30, Laura Scott31, Tarjinder Singh1,2, Jordan W Smoller32,33, Matthew Solomonson8, David St. Clair34, Eli A Stahl 35, Annabel Vreeker26, James Walters24, Weiqing Wang35, Nicholas A Watts 8, Robert Yolken36, Peter Zandi15, and Benjamin M Neale1,8,2,*. NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2021.03.09.21252930; this version posted March 26, 2021. 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. -
Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Organ Level Protein Networks As a Reference for the Host Effects of the Microbiome
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Organ level protein networks as a reference for the host effects of the microbiome 2 3 Robert H. Millsa,b,c,d, Jacob M. Wozniaka,b, Alison Vrbanacc, Anaamika Campeaua,b, Benoit 4 Chassainge,f,g,h, Andrew Gewirtze, Rob Knightc,d, and David J. Gonzaleza,b,d,# 5 6 a Department of Pharmacology, University of California, San Diego, California, USA 7 b Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 8 California, USA 9 c Department of Pediatrics, and Department of Computer Science and Engineering, University of 10 California, San Diego California, USA 11 d Center for Microbiome Innovation, University of California, San Diego, California, USA 12 e Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State 13 University, Atlanta, GA, USA 14 f Neuroscience Institute, Georgia State University, Atlanta, GA, USA 15 g INSERM, U1016, Paris, France. 16 h Université de Paris, Paris, France. 17 18 Key words: Microbiota, Tandem Mass Tags, Organ Proteomics, Gnotobiotic Mice, Germ-free Mice, 19 Protein Networks, Proteomics 20 21 # Address Correspondence to: 22 David J. Gonzalez, PhD 23 Department of Pharmacology and Pharmacy 24 University of California, San Diego 25 La Jolla, CA 92093 26 E-mail: [email protected] 27 Phone: 858-822-1218 28 1 Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 29 Abstract 30 Connections between the microbiome and health are rapidly emerging in a wide range of 31 diseases. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Gene Targeting Therapies (Roy Alcalay)
Recent Developments in Gene - Targeted Therapies for Parkinson’s Disease Roy Alcalay, MD, MS Alfred and Minnie Bressler Associate Professor of Neurology Division of Movement Disorders Columbia University Medical Center Disclosures Funding: Dr. Alcalay is funded by the National Institutes of Health, the DOD, the Michael J. Fox Foundation and the Parkinson’s Foundation. Dr. Alcalay receives consultation fees from Genzyme/Sanofi, Restorbio, Janssen, and Roche. Gene Localizations Identified in PD Gene Symbol Protein Transmission Chromosome PARK1 SNCA α-synuclein AD 4q22.1 PARK2 PRKN parkin (ubiquitin ligase) AR 6q26 PARK3 ? ? AD 2p13 PARK4 SNCA triplication α-synuclein AD 4q22.1 PARK5 UCH-L1 ubiquitin C-terminal AD 4p13 hydrolase-L1 PARK6 PINK1 PTEN-induced kinase 1 AR 1p36.12 PARK7 DJ-1 DJ-1 AR 1p36.23 PARK8 LRRK2 leucine rich repeat kinase 2 AD 12q12 PARK9 ATP13A2 lysosomal ATPase AR 1p36.13 PARK10 ? ? (Iceland) AR 1p32 PARK11 GIGYF2 GRB10-interacting GYF protein 2 AD 2q37.1 PARK12 ? ? X-R Xq21-q25 PARK13 HTRA2 serine protease AD 2p13.1 PARK14 PLA2G6 phospholipase A2 (INAD) AR 22q13.1 PARK15 FBXO7 F-box only protein 7 AR 22q12.3 PARK16 ? Discovered by GWAS ? 1q32 PARK17 VPS35 vacuolar protein sorting 35 AD 16q11.2 PARK18 EIF4G1 initiation of protein synth AD 3q27.1 PARK19 DNAJC6 auxilin AR 1p31.3 PARK20 SYNJ1 synaptojanin 1 AR 21q22.11 PARK21 DNAJC13 8/RME-8 AD 3q22.1 PARK22 CHCHD2 AD 7p11.2 PARK23 VPS13C AR 15q22 Gene Localizations Identified in PD Disorder Symbol Protein Transmission Chromosome PD GBA β-glucocerebrosidase AD 1q21 SCA2 -
CYLD Is a Deubiquitinating Enzyme That Negatively Regulates NF-Kb
letters to nature 13. Schwartz, S. et al. Human–mouse alignments with BLASTZ. Genome Res 13, 103–107 (2003). necrosis factor receptors (TNFRs). Loss of the deubiquitinating 14. Schwartz, S. et al. MultiPipMaker and supporting tools: alignments and analysis of multiple genomic activity of CYLD correlates with tumorigenesis. CYLD inhibits DNA sequences. Nucleic Acids Res. 31, 3518–3524 (2003). 15.Murphy,W.J.et al. Resolution of the early placental mammal radiation using Bayesian phylogenetics. activation of NF-kB by the TNFR family members CD40, XEDAR Science 294, 2348–2351 (2001). and EDAR in a manner that depends on the deubiquitinating 16. Poux, C., Van Rheede, T., Madsen, O. & de Jong, W. W. Sequence gaps join mice and men: activity of CYLD. Downregulation of CYLD by RNA-mediated phylogenetic evidence from deletions in two proteins. Mol. Biol. Evol. 19, 2035–2037 (2002). 17. Huelsenbeck, J. P., Larget, B. & Swofford, D. A compound Poisson process for relaxing the molecular interference augments both basal and CD40-mediated activation clock. Genetics 154, 1879–1892 (2000). of NF-kB. The inhibition of NF-kBactivationbyCYLDis 18. Cooper, G. M. et al. Quantitative estimates of sequence divergence for comparative analyses of mediated, at least in part, by the deubiquitination and inacti- mammalian genomes. Genome Res. 13, 813–820 (2003). vation of TNFR-associated factor 2 (TRAF2) and, to a lesser 19. Siepel, A. & Haussler, D. Proc. 7th Annual Int. Conf. Research in Computational Molecular Biology (ACM, New York, 2003). extent, TRAF6. These results indicate that CYLD is a negative 20. Hardison, R. C. et al. Covariation in frequencies of substitution, deletion, transposition, and regulator of the cytokine-mediated activation of NF-kB that is recombination during eutherian evolution. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
A Drosophila Ortholog of the Human Cylindromatosis Tumor Suppressor
RESEARCH ARTICLE 2605 Development 134, 2605-2614 (2007) doi:10.1242/dev.02859 A Drosophila ortholog of the human cylindromatosis tumor suppressor gene regulates triglyceride content and antibacterial defense Theodore Tsichritzis1, Peer C. Gaentzsch3, Stylianos Kosmidis2, Anthony E. Brown3, Efthimios M. Skoulakis2, Petros Ligoxygakis3,* and George Mosialos1,4,* The cylindromatosis (CYLD) gene is mutated in human tumors of skin appendages. It encodes a deubiquitylating enzyme (CYLD) that is a negative regulator of the NF-B and JNK signaling pathways, in vitro. However, the tissue-specific function and regulation of CYLD in vivo are poorly understood. We established a genetically tractable animal model to initiate a systematic investigation of these issues by characterizing an ortholog of CYLD in Drosophila. Drosophila CYLD is broadly expressed during development and, in adult animals, is localized in the fat body, ovaries, testes, digestive tract and specific areas of the nervous system. We demonstrate that the protein product of Drosophila CYLD (CYLD), like its mammalian counterpart, is a deubiquitylating enzyme. Impairment of CYLD expression is associated with altered fat body morphology in adult flies, increased triglyceride levels and increased survival under starvation conditions. Furthermore, flies with compromised CYLD expression exhibited reduced resistance to bacterial infections. All mutant phenotypes described were reversible upon conditional expression of CYLD transgenes. Our results implicate CYLD in a broad range of functions associated with fat homeostasis and host defence in Drosophila. KEY WORDS: Cylindromatosis, Drosophila, Fat body, Host defense, NF-kappaB INTRODUCTION disease and it is required for the proper development of T Familial cylindromatosis is an autosomal-dominant predisposition lymphocytes in mice (Costello et al., 2005; Reiley et al., 2006). -
Defining Functional Interactions During Biogenesis of Epithelial Junctions
ARTICLE Received 11 Dec 2015 | Accepted 13 Oct 2016 | Published 6 Dec 2016 | Updated 5 Jan 2017 DOI: 10.1038/ncomms13542 OPEN Defining functional interactions during biogenesis of epithelial junctions J.C. Erasmus1,*, S. Bruche1,*,w, L. Pizarro1,2,*, N. Maimari1,3,*, T. Poggioli1,w, C. Tomlinson4,J.Lees5, I. Zalivina1,w, A. Wheeler1,w, A. Alberts6, A. Russo2 & V.M.M. Braga1 In spite of extensive recent progress, a comprehensive understanding of how actin cytoskeleton remodelling supports stable junctions remains to be established. Here we design a platform that integrates actin functions with optimized phenotypic clustering and identify new cytoskeletal proteins, their functional hierarchy and pathways that modulate E-cadherin adhesion. Depletion of EEF1A, an actin bundling protein, increases E-cadherin levels at junctions without a corresponding reinforcement of cell–cell contacts. This unexpected result reflects a more dynamic and mobile junctional actin in EEF1A-depleted cells. A partner for EEF1A in cadherin contact maintenance is the formin DIAPH2, which interacts with EEF1A. In contrast, depletion of either the endocytic regulator TRIP10 or the Rho GTPase activator VAV2 reduces E-cadherin levels at junctions. TRIP10 binds to and requires VAV2 function for its junctional localization. Overall, we present new conceptual insights on junction stabilization, which integrate known and novel pathways with impact for epithelial morphogenesis, homeostasis and diseases. 1 National Heart and Lung Institute, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. 2 Computing Department, Imperial College London, London SW7 2AZ, UK. 3 Bioengineering Department, Faculty of Engineering, Imperial College London, London SW7 2AZ, UK. 4 Department of Surgery & Cancer, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK. -
Stress-Responsive Regulation of Mitochondria Through the ER
TEM-969; No. of Pages 10 Review Stress-responsive regulation of mitochondria through the ER unfolded protein response T. Kelly Rainbolt, Jaclyn M. Saunders, and R. Luke Wiseman Department of Molecular and Experimental Medicine, Department of Chemical Physiology, The Scripps Research Institute, La Jolla, CA 92037, USA The endoplasmic reticulum (ER) and mitochondria form function is sensitive to pathologic insults that induce ER physical interactions involved in the regulation of bio- stress (defined by the increased accumulation of misfolded logic functions including mitochondrial bioenergetics proteins within the ER lumen). ER stress can be transmit- and apoptotic signaling. To coordinate these functions ted to mitochondria by alterations in the transfer of me- 2+ during stress, cells must coregulate ER and mitochon- tabolites such as Ca or by stress-responsive signaling dria through stress-responsive signaling pathways such pathways, directly influencing mitochondrial functions. as the ER unfolded protein response (UPR). Although the Depending on the extent of cellular stress, the stress UPR is traditionally viewed as a signaling pathway re- signaling from the ER to mitochondria can result in pro- sponsible for regulating ER proteostasis, it is becoming survival or proapoptotic adaptations in mitochondrial increasingly clear that the protein kinase RNA (PKR)-like function. endoplasmic reticulum kinase (PERK) signaling pathway During the early adaptive phase of ER stress, ER– 2+ within the UPR can also regulate mitochondria proteos- mitochondrial contacts increase, promoting Ca transfer 2+ tasis and function in response to pathologic insults that between these organelles [4]. This increase in Ca flux into induce ER stress. Here, we discuss the contributions of mitochondria stimulates mitochondrial metabolism 2+ PERK in coordinating ER–mitochondrial activities and through the activity of Ca -regulated dehydrogenases describe the mechanisms by which PERK adapts mito- involved in the tricarboxylic acid (TCA) cycle. -
Gpr161 Anchoring of PKA Consolidates GPCR and Camp Signaling
Gpr161 anchoring of PKA consolidates GPCR and cAMP signaling Verena A. Bachmanna,1, Johanna E. Mayrhofera,1, Ronit Ilouzb, Philipp Tschaiknerc, Philipp Raffeinera, Ruth Röcka, Mathieu Courcellesd,e, Federico Apeltf, Tsan-Wen Lub,g, George S. Baillieh, Pierre Thibaultd,i, Pia Aanstadc, Ulrich Stelzlf,j, Susan S. Taylorb,g,2, and Eduard Stefana,2 aInstitute of Biochemistry and Center for Molecular Biosciences, University of Innsbruck, 6020 Innsbruck, Austria; bDepartment of Chemistry and Biochemistry, University of California, San Diego, CA 92093; cInstitute of Molecular Biology, University of Innsbruck, 6020 Innsbruck, Austria; dInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, Canada H3C 3J7; eDépartement de Biochimie, Université de Montréal, Montreal, QC, Canada H3C 3J7; fOtto-Warburg Laboratory, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany; gDepartment of Pharmacology, University of California, San Diego, CA 92093; hInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8QQ, United Kingdom; iDepartment of Chemistry, Université de Montréal, Montreal, QC, Canada H3C 3J7; and jInstitute of Pharmaceutical Sciences, Pharmaceutical Chemistry, University of Graz, 8010 Graz, Austria Contributed by Susan S. Taylor, May 24, 2016 (sent for review February 18, 2016; reviewed by John J. G. Tesmer and Mark von Zastrow) Scaffolding proteins organize the information flow from activated G accounts for nanomolar binding affinities to PKA R subunit dimers protein-coupled receptors (GPCRs) to intracellular effector cascades (12, 13). Moreover, additional components of the cAMP signaling both spatially and temporally. By this means, signaling scaffolds, such machinery, such as GPCRs, adenylyl cyclases, and phosphodiester- as A-kinase anchoring proteins (AKAPs), compartmentalize kinase ases, physically interact with AKAPs (1, 5, 11, 14).