Aguila Dissertation Draft Ver4

Total Page:16

File Type:pdf, Size:1020Kb

Aguila Dissertation Draft Ver4 MEDIATORS OF RADIATION RESISTANCE IN GLIOBLASTOMA MULTIFORME by BRITTANY AGUILA Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Dissertation Advisor: Scott M Welford, Ph.D. Department of Biochemistry CASE WESTERN RESERVE UNIVERSITY May 2020 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of Brittany Aguila Candidate for the degree of Doctor of Philosophy* Committee Chair Hung-Ying Kao, Ph.D. Committee Member Scott Welford, Ph.D. Committee Member Jason Mears, Ph.D. Committee Member Barbara Bedogni, Ph.D. March 6, 2020 *We certify that written approval has been obtained for any proprietary material contained therein. 2 Table of Contents List of Tables .................................................................................................. 5 List of Figures ................................................................................................ 6 Acknowledgements ....................................................................................... 8 List of Abbreviations ................................................................................... 10 Abstract ........................................................................................................ 11 Chapter 1 - Introduction and Background ................................................. 13 Glioblastoma multiforme .................................................................................................... 13 Standard of care .................................................................................................................................. 14 Prognosis ................................................................................................................................................. 15 Molecular Subtypes ........................................................................................................................... 15 Therapeutic Resistance ................................................................................................................... 17 Lentiviral mediated shRNA library negative selection and genomic hybridization functional knockdown screen ............................................................... 22 PTGFRN ..................................................................................................................................... 28 CD9 ............................................................................................................................................... 30 Tetraspanin Enriched Microdomains ............................................................................. 28 AKT/PI3K signaling pathway ............................................................................................. 32 SAT1 ............................................................................................................................................ 35 Statement of Purpose ........................................................................................................... 36 Chapter 2 - The Ig superfamily protein PTGFRN coordinates survival signaling in Glioblastoma multiforme ....................................................... 39 Abstract ...................................................................................................................................... 40 Introduction .............................................................................................................................. 41 Results ........................................................................................................................................ 43 PTGFRN is overexpressed in GBM and correlates with poorer patient outcome .................................................................................................................................................... 43 PTGFRN promotes cell proliferation and tumor growth .................................................. 44 PTGFRN inhibition sensitizes GBM cells to radiation ...................................................... 46 PTGFRN is necessary for P-AKT signaling by increasing stability of p110β ...... 48 PTGFRN promotes DNA damage sensing through p110β ........................................... 51 Discussion ................................................................................................................................ 52 Chapter 3 - Tetraspanin CD9 promotes tumorigenesis and radiation resistance in Glioblastoma multiforme ..................................................... 74 Abstract ...................................................................................................................................... 75 Introduction .............................................................................................................................. 76 Results ........................................................................................................................................ 77 CD9 is overexpressed in GBM and correlates with poorer outcome ....................... 77 CD9 promotes cell proliferation and tumor growth in GBM tumors .......................... 78 3 CD9 inhibition sensitizes GBM cells to radiation ................................................................ 79 CD9 depletion hinders DNA damage repair .......................................................................... 80 CD9 signals through AKT ............................................................................................................... 81 Discussion ................................................................................................................................ 81 Chapter 4 - A novel role for spermidine/spermine N1-acetyltransferase 1 as a gene-specific transcriptional regulator that promotes brain tumor aggressiveness ................................................................................ 94 Abstract ...................................................................................................................................... 95 Introduction .............................................................................................................................. 96 Results ........................................................................................................................................ 97 SAT1 regulates gene programs controlling cell cycle and DNA dynamics ........... 97 SAT1 target genes are enriched in high-grade gliomas ................................................. 98 SAT1 regulates MELK and EZH2 by direct interaction with chromatin .................. 99 SAT1 regulates transcription of specific targets through polyamine catabolism102 Discussion .............................................................................................................................. 103 Chapter 5 - Discussion and Future Directions ........................................ 116 The vast molecular basis for radioresistance .......................................................... 116 Other signaling possibilities for PTGFRN .................................................................. 118 PTGFRN and CD9: a possible scaffolding complex? ............................................ 124 Could SAT1 be regulating CD9? .................................................................................... 128 Concluding remarks ........................................................................................................... 133 Appendix A ................................................................................................. 134 Appendix B ................................................................................................. 139 Appendix C ................................................................................................. 143 References ................................................................................................. 148 4 List of Tables Appendix C Supplementary Method Table 1: Antibodies ...................... 145 Appendix C Supplementary Method Table 2: Primers for qPCR .......... 146 Appendix C Supplementary Method Table 3: Primers for Chromatin Immunoprecipitations ............................................................................... 147 5 List of Figures Figure 1-1: Negative Selection and Genomic Hybridization Functional Knockdown Screen……………………………………………………24 Figure 1-2: Results of negative selection and genomic hybridization functional knockdown screen…………………………………….26 Figure 2-1: Relevance of PTGFRN to GBM………………………………………56 Figure 2-2: PTGFRN expression in GBM tumors with specific mutation statuses and GBM molecular subtypes……………………………...58 Figure 2-3: PTGFRN is required for cell proliferation and tumor growth…………………………………………………………………………….........60 Figure 2-4: PTGFRN depletion extends cell cycle progression……………..62 Figure 2-5: shRNA knockdown confirmation in GBM cell lines……………..64 Figure 2-6: PTGFRN reduction sensitizes GBM cells to IR…………………..66 Figure 2-7: PTGFRN depletion decreases p110β levels………………………68 Figure 2-8: PTGFRN depletion does not affect p110α protein levels and PTGFRN co-localizes with p110β……………………………………70 Figure 2-9: PTGFRN promotes DNA damage sensing………………………...72 Figure 3-1: Relevance of CD9 to GBM……………………………………………84 Figure 3-2: CD9 promotes cell proliferation and tumor growth……………..86 Figure 3-1: CD9 inhibition sensitizes GBM cells to radiation………………..88 Figure 3-2: CD9 depletion decreases
Recommended publications
  • Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
    Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only.
    [Show full text]
  • 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.
    [Show full text]
  • Folate Receptor Β Regulates Integrin Cd11b/CD18 Adhesion of a Macrophage Subset to Collagen
    Folate Receptor β Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen This information is current as Christian Machacek, Verena Supper, Vladimir Leksa, Goran of September 25, 2021. Mitulovic, Andreas Spittler, Karel Drbal, Miloslav Suchanek, Anna Ohradanova-Repic and Hannes Stockinger J Immunol 2016; 197:2229-2238; Prepublished online 17 August 2016; doi: 10.4049/jimmunol.1501878 Downloaded from http://www.jimmunol.org/content/197/6/2229 Supplementary http://www.jimmunol.org/content/suppl/2016/08/17/jimmunol.150187 Material 8.DCSupplemental http://www.jimmunol.org/ References This article cites 49 articles, 23 of which you can access for free at: http://www.jimmunol.org/content/197/6/2229.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 25, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by 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. The Journal of Immunology Folate Receptor b Regulates Integrin CD11b/CD18 Adhesion of a Macrophage Subset to Collagen Christian Machacek,* Verena Supper,* Vladimir Leksa,*,† Goran Mitulovic,‡ Andreas Spittler,x Karel Drbal,{,1 Miloslav Suchanek,{ Anna Ohradanova-Repic,* and Hannes Stockinger* Folate, also known as vitamin B9, is necessary for essential cellular functions such as DNA synthesis, repair, and methylation.
    [Show full text]
  • Genetic Drivers of Pancreatic Islet Function
    | INVESTIGATION Genetic Drivers of Pancreatic Islet Function Mark P. Keller,*,1 Daniel M. Gatti,†,1 Kathryn L. Schueler,* Mary E. Rabaglia,* Donnie S. Stapleton,* Petr Simecek,† Matthew Vincent,† Sadie Allen,‡ Aimee Teo Broman,§ Rhonda Bacher,§ Christina Kendziorski,§ Karl W. Broman,§ Brian S. Yandell,** Gary A. Churchill,†,2 and Alan D. Attie*,2 *Department of Biochemistry, §Department of Biostatistics and Medical Informatics, and **Department of Horticulture, University of Wisconsin–Madison, Wisconsin 53706-1544, †The Jackson Laboratory, Bar Harbor, Maine 06409, and ‡Maine School of Science and Mathematics, Limestone, Maine 06409, ORCID IDs: 0000-0002-7405-5552 (M.P.K.); 0000-0002-4914-6671 (K.W.B.); 0000-0001-9190-9284 (G.A.C.); 0000-0002-0568-2261 (A.D.A.) ABSTRACT The majority of gene loci that have been associated with type 2 diabetes play a role in pancreatic islet function. To evaluate the role of islet gene expression in the etiology of diabetes, we sensitized a genetically diverse mouse population with a Western diet high in fat (45% kcal) and sucrose (34%) and carried out genome-wide association mapping of diabetes-related phenotypes. We quantified mRNA abundance in the islets and identified 18,820 expression QTL. We applied mediation analysis to identify candidate causal driver genes at loci that affect the abundance of numerous transcripts. These include two genes previously associated with monogenic diabetes (PDX1 and HNF4A), as well as three genes with nominal association with diabetes-related traits in humans (FAM83E, IL6ST, and SAT2). We grouped transcripts into gene modules and mapped regulatory loci for modules enriched with transcripts specific for a-cells, and another specific for d-cells.
    [Show full text]
  • Systematic Identification of Cancer Cell Vulnerabilities to Natural Killer Cell
    bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 2019. 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-NC-ND 4.0 International license. 1 2 Systematic identification of cancer cell vulnerabilities to natural killer 3 cell-mediated immune surveillance 4 5 Matthew F. Pech, Jacqueline E. Villalta, Leanne J.G. Chan, Samir Kharbanda, Jonathon J. 6 O’Brien, Fiona E. McAllister, Ari J. Firestone, Calvin H. Jan, Jeff Settleman# 7 8 Calico Life Sciences LLC, 1170 Veterans Boulevard, South San Francisco, CA, United States 9 #correspondence: [email protected] 10 1 bioRxiv preprint doi: https://doi.org/10.1101/597567; this version posted April 2, 2019. 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-NC-ND 4.0 International license. 11 Abstract 12 13 Only a subset of patients respond to therapies that stimulate T-cell responses to cancer, 14 highlighting the need for alternative strategies to promote anti-cancer immunity. Here, we 15 performed genome-scale CRISPR-Cas9 screens in a human MHC-deficient leukemic cancer cell 16 line to systematically identify perturbations that enhance natural killer (NK) effector functions. 17 Our screens defined critical components of the tumor-immune synapse and highlighted the 18 importance of cancer cell interferon-g (IFNg) signaling in promoting NK activity.
    [Show full text]
  • Integrative Bioinformatic Analysis of Transcriptomic Data Identifies Conserved Molecular Pathways Underlying Ionizing Radiation-Induced Bystander Effects (RIBE)
    Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 6 November 2017 doi:10.20944/preprints201711.0041.v1 Peer-reviewed version available at Cancers 2017, 9, 160; doi:10.3390/cancers9120160 Article Integrative bioinformatic analysis of transcriptomic data identifies conserved molecular pathways underlying ionizing radiation-induced bystander effects (RIBE) Constantinos Yeles1,2, Efstathios-Iason Vlachavas2,3,4, Olga Papadodima2, Eleftherios Pilalis4, Constantinos E. Vorgias1, Alexandros G. Georgakilas5, and Aristotelis Chatziioannou2,4,* 1 Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, Zografou Campus, Athens 15701, Greece 2 Metabolic Engineering and Bioinformatics Research Team, Institute of Biology Medicinal Chemistry & Biotechnology, National Hellenic Research Foundation, Athens 11635, Greece 3 Department of Molecular Biology and Genetics, Democritus University of Thrace, Dragana 68100, Greece 4 Enios Applications Private Limited Company, Athens A17671, Greece 5 Physics Department, School of Applied Mathematical and Physical Sciences, National Technical University of Athens (NTUA), Zografou 15780, Athens, Greece * Correspondence: [email protected]; Tel.: +30-2107273751- Abstract: Ionizing radiation-induced bystander effects (RIBE) encompass a number of effects with potential for a plethora of damages in adjacent non-irradiated tissue. The cascade of molecular events is initiated in response to the exposure to ionizing radiation (IR), something that may occur during diagnostic or therapeutic medical applications. In order to better investigate these complex response mechanisms, we employed a unified framework integrating statistical microarray analysis, signal normalization and translational bioinformatics functional analysis techniques. This approach was applied to several microarray datasets from Gene Expression Omnibus (GEO) related to RIBE. The analysis produced lists of differentially expressed genes, contrasting bystander and irradiated samples versus sham-irradiated controls.
    [Show full text]
  • Melanoma Cell Resistance to Vemurafenib Modifies Inter-Cellular
    biomedicines Article Melanoma Cell Resistance to Vemurafenib Modifies Inter-Cellular Communication Signals Claudio Tabolacci 1,* , Martina Cordella 1, Sabrina Mariotti 2, Stefania Rossi 1 , Cinzia Senatore 1, Carla Lintas 3 , Lauretta Levati 4, Daniela D’Arcangelo 4, Antonio Facchiano 4 , Stefania D’Atri 4, Roberto Nisini 2 and Francesco Facchiano 1,* 1 Department of Oncology and Molecular Medicine, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy; [email protected] (M.C.); [email protected] (S.R.); [email protected] (C.S.) 2 Department of Infectious Diseases, Istituto Superiore di Sanità, 00161 Rome, Italy; [email protected] (S.M.); [email protected] (R.N.) 3 Department of Experimental Medicine, University Campus Bio-Medico, 00128 Rome, Italy; [email protected] 4 Laboratory of Molecular Oncology, IDI-IRCCS, 00167 Rome, Italy; [email protected] (L.L.); [email protected] (D.D.); [email protected] (A.F.); [email protected] (S.D.) * Correspondence: [email protected] (C.T.); [email protected] (F.F.) Abstract: The therapeutic success of BRAF inhibitors (BRAFi) and MEK inhibitors (MEKi) in BRAF- mutant melanoma is limited by the emergence of drug resistance, and several lines of evidence suggest that changes in the tumor microenvironment can play a pivotal role in acquired resistance. The present study focused on secretome profiling of melanoma cells sensitive or resistant to the BRAFi vemurafenib. Proteomic and cytokine/chemokine secretion analyses were performed in order to better understand the interplay between vemurafenib-resistant melanoma cells and the tumor microenvironment. We found that vemurafenib-resistant melanoma cells can influence dendritic Citation: Tabolacci, C.; Cordella, M.; cell (DC) maturation by modulating their activation and cytokine production.
    [Show full text]
  • (12) United States Patent (10) Patent No.: US 7.873,482 B2 Stefanon Et Al
    US007873482B2 (12) United States Patent (10) Patent No.: US 7.873,482 B2 Stefanon et al. (45) Date of Patent: Jan. 18, 2011 (54) DIAGNOSTIC SYSTEM FOR SELECTING 6,358,546 B1 3/2002 Bebiak et al. NUTRITION AND PHARMACOLOGICAL 6,493,641 B1 12/2002 Singh et al. PRODUCTS FOR ANIMALS 6,537,213 B2 3/2003 Dodds (76) Inventors: Bruno Stefanon, via Zilli, 51/A/3, Martignacco (IT) 33035: W. Jean Dodds, 938 Stanford St., Santa Monica, (Continued) CA (US) 90403 FOREIGN PATENT DOCUMENTS (*) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 WO WO99-67642 A2 12/1999 U.S.C. 154(b) by 158 days. (21)21) Appl. NoNo.: 12/316,8249 (Continued) (65) Prior Publication Data Swanson, et al., “Nutritional Genomics: Implication for Companion Animals'. The American Society for Nutritional Sciences, (2003).J. US 2010/O15301.6 A1 Jun. 17, 2010 Nutr. 133:3033-3040 (18 pages). (51) Int. Cl. (Continued) G06F 9/00 (2006.01) (52) U.S. Cl. ........................................................ 702/19 Primary Examiner—Edward Raymond (58) Field of Classification Search ................... 702/19 (74) Attorney, Agent, or Firm Greenberg Traurig, LLP 702/23, 182–185 See application file for complete search history. (57) ABSTRACT (56) References Cited An analysis of the profile of a non-human animal comprises: U.S. PATENT DOCUMENTS a) providing a genotypic database to the species of the non 3,995,019 A 1 1/1976 Jerome human animal Subject or a selected group of the species; b) 5,691,157 A 1 1/1997 Gong et al.
    [Show full text]
  • Identification of Novel CD4+ T Cell Subsets in the Target Tissue Of
    Identification of Novel CD4+ T Cell Subsets in the Target Tissue of Sjögren's Syndrome and Their Differential Regulation by the Lymphotoxin/LIGHT Signaling Axis This information is current as of October 2, 2021. Scott Haskett, Jian Ding, Wei Zhang, Alice Thai, Patrick Cullen, Shanqin Xu, Britta Petersen, Galina Kuznetsov, Luke Jandreski, Stefan Hamann, Taylor L. Reynolds, Norm Allaire, Timothy S. Zheng and Michael Mingueneau J Immunol 2016; 197:3806-3819; Prepublished online 7 Downloaded from October 2016; doi: 10.4049/jimmunol.1600407 http://www.jimmunol.org/content/197/10/3806 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2016/10/06/jimmunol.160040 Material 7.DCSupplemental References This article cites 46 articles, 8 of which you can access for free at: http://www.jimmunol.org/content/197/10/3806.full#ref-list-1 Why The JI? Submit online. by guest on October 2, 2021 • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by 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.
    [Show full text]
  • IL-12 Engineered Exosomes Elicited a Potent Anti-Tumor Response And
    engEx™: A novel exosome engineering platform enabling targeted transfer of pharmacological molecules Kevin Dooley, Ke Xu, Sonya Haupt, Nuruddeen Lewis, Rane Harrison, Shelly Martin, Christine McCoy, Chang Ling Sia, Su Chul Jang, Katherine Kirwin, Russell McConnell, Bryan Choi, Adam T. Boutin, Damian Houde, Jorge Sanchez-Salazar, Agata Villiger-Oberbek, Kyriakos D. Economides, John Kulman, Sriram Sathyanarayanan Codiak BioSciences, Cambridge, MA 2150 What are exosomes? Stable cellular expression of PTGFRN resulted in 150-fold enrichment PTGFRN enables high-density surface display of therapeutic proteins • Exosomes are extracellular vesicles (30-200 nm) that convey complex molecules and of PTGFRN on exosome surface ∆687 FL biological signals between cells. A PTGFRN C Comparative Proteomics WT ++ -/- Exosome Signaling 900 » Convey and protect complex 120 12 nm macromolecules that alter the 300 function of recipient cells 35 5000 0 ALIX MoleculeExo Membrane Cytoplasm » Intrinsically non-immunogenic 200 1. nm Nucleus SDCBP WT PTGFRN WT (PSM) ALIX Peptide FKBP VHH IL7 GFP scFv scCD40L scFab scIL12 BDD-FIII B PTGFRN PTGFRN SDCBP a 12 a 1 a 1 a 2 a 2 a 0 a 1 a 0 a 10 a • Codiak BioSciences is developing a therapeutic platform utilizing exosome biology, 100 known as engEx™. Figure 6. PTGFRN enables high-density surface display of structurally and biologically diverse proteins on exosomes. Exosomes can be engineered to carry specific biologically active entities, including Proteins of interest, including reporters, peptides, cytokines, antibody fragments, tumor necrosis superfamily members, and multi-domain • High-density exosome surface 0 0 100 200 300 900 0 100 200 300 900 small molecules, proteins, antibodies, peptides, and nucleic acids, individually or in display visible by cryo-EM blood coagulation factors, were fused to the surface exposed N-terminus of either full-length or truncated forms of PTGFRN.
    [Show full text]
  • Molecular Signatures of Membrane Protein Complexes Underlying Muscular Dystrophy*□S
    crossmark Research Author’s Choice © 2016 by The American Society for Biochemistry and Molecular Biology, Inc. This paper is available on line at http://www.mcponline.org Molecular Signatures of Membrane Protein Complexes Underlying Muscular Dystrophy*□S Rolf Turk‡§¶ʈ**, Jordy J. Hsiao¶, Melinda M. Smits¶, Brandon H. Ng¶, Tyler C. Pospisil‡§¶ʈ**, Kayla S. Jones‡§¶ʈ**, Kevin P. Campbell‡§¶ʈ**, and Michael E. Wright¶‡‡ Mutations in genes encoding components of the sar- The muscular dystrophies are hereditary diseases charac- colemmal dystrophin-glycoprotein complex (DGC) are re- terized primarily by the progressive degeneration and weak- sponsible for a large number of muscular dystrophies. As ness of skeletal muscle. Most are caused by deficiencies in such, molecular dissection of the DGC is expected to both proteins associated with the cell membrane (i.e. the sarco- reveal pathological mechanisms, and provides a biologi- lemma in skeletal muscle), and typical features include insta- cal framework for validating new DGC components. Es- bility of the sarcolemma and consequent death of the myofi- tablishment of the molecular composition of plasma- ber (1). membrane protein complexes has been hampered by a One class of muscular dystrophies is caused by mutations lack of suitable biochemical approaches. Here we present in genes that encode components of the sarcolemmal dys- an analytical workflow based upon the principles of pro- tein correlation profiling that has enabled us to model the trophin-glycoprotein complex (DGC). In differentiated skeletal molecular composition of the DGC in mouse skeletal mus- muscle, this structure links the extracellular matrix to the cle. We also report our analysis of protein complexes in intracellular cytoskeleton.
    [Show full text]
  • Human CD Marker Chart Reviewed by HLDA1 Bdbiosciences.Com/Cdmarkers
    BD Biosciences Human CD Marker Chart Reviewed by HLDA1 bdbiosciences.com/cdmarkers 23-12399-01 CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD Alternative Name Ligands & Associated Molecules T Cell B Cell Dendritic Cell NK Cell Stem Cell/Precursor Macrophage/Monocyte Granulocyte Platelet Erythrocyte Endothelial Cell Epithelial Cell CD1a R4, T6, Leu6, HTA1 b-2-Microglobulin, CD74 + + + – + – – – CD93 C1QR1,C1qRP, MXRA4, C1qR(P), Dj737e23.1, GR11 – – – – – + + – – + – CD220 Insulin receptor (INSR), IR Insulin, IGF-2 + + + + + + + + + Insulin-like growth factor 1 receptor (IGF1R), IGF-1R, type I IGF receptor (IGF-IR), CD1b R1, T6m Leu6 b-2-Microglobulin + + + – + – – – CD94 KLRD1, Kp43 HLA class I, NKG2-A, p39 + – + – – – – – – CD221 Insulin-like growth factor 1 (IGF-I), IGF-II, Insulin JTK13 + + + + + + + + + CD1c M241, R7, T6, Leu6, BDCA1 b-2-Microglobulin + + + – + – – – CD178, FASLG, APO-1, FAS, TNFRSF6, CD95L, APT1LG1, APT1, FAS1, FASTM, CD95 CD178 (Fas ligand) + + + + + – – IGF-II, TGF-b latency-associated peptide (LAP), Proliferin, Prorenin, Plasminogen, ALPS1A, TNFSF6, FASL Cation-independent mannose-6-phosphate receptor (M6P-R, CIM6PR, CIMPR, CI- CD1d R3G1, R3 b-2-Microglobulin, MHC II CD222 Leukemia
    [Show full text]