Table SI. Intersection of Downregulated and Upregulated Differentially Expressed Genes in High and Low Immune/Stromal Score Groups
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Small Cell Ovarian Carcinoma: Genomic Stability and Responsiveness to Therapeutics
Gamwell et al. Orphanet Journal of Rare Diseases 2013, 8:33 http://www.ojrd.com/content/8/1/33 RESEARCH Open Access Small cell ovarian carcinoma: genomic stability and responsiveness to therapeutics Lisa F Gamwell1,2, Karen Gambaro3, Maria Merziotis2, Colleen Crane2, Suzanna L Arcand4, Valerie Bourada1,2, Christopher Davis2, Jeremy A Squire6, David G Huntsman7,8, Patricia N Tonin3,4,5 and Barbara C Vanderhyden1,2* Abstract Background: The biology of small cell ovarian carcinoma of the hypercalcemic type (SCCOHT), which is a rare and aggressive form of ovarian cancer, is poorly understood. Tumourigenicity, in vitro growth characteristics, genetic and genomic anomalies, and sensitivity to standard and novel chemotherapeutic treatments were investigated in the unique SCCOHT cell line, BIN-67, to provide further insight in the biology of this rare type of ovarian cancer. Method: The tumourigenic potential of BIN-67 cells was determined and the tumours formed in a xenograft model was compared to human SCCOHT. DNA sequencing, spectral karyotyping and high density SNP array analysis was performed. The sensitivity of the BIN-67 cells to standard chemotherapeutic agents and to vesicular stomatitis virus (VSV) and the JX-594 vaccinia virus was tested. Results: BIN-67 cells were capable of forming spheroids in hanging drop cultures. When xenografted into immunodeficient mice, BIN-67 cells developed into tumours that reflected the hypercalcemia and histology of human SCCOHT, notably intense expression of WT-1 and vimentin, and lack of expression of inhibin. Somatic mutations in TP53 and the most common activating mutations in KRAS and BRAF were not found in BIN-67 cells by DNA sequencing. -
Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. -
Regulation of Cdc42 and Its Effectors in Epithelial Morphogenesis Franck Pichaud1,2,*, Rhian F
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs217869. doi:10.1242/jcs.217869 REVIEW SUBJECT COLLECTION: ADHESION Regulation of Cdc42 and its effectors in epithelial morphogenesis Franck Pichaud1,2,*, Rhian F. Walther1 and Francisca Nunes de Almeida1 ABSTRACT An overview of Cdc42 Cdc42 – a member of the small Rho GTPase family – regulates cell Cdc42 was discovered in yeast and belongs to a large family of small – polarity across organisms from yeast to humans. It is an essential (20 30 kDa) GTP-binding proteins (Adams et al., 1990; Johnson regulator of polarized morphogenesis in epithelial cells, through and Pringle, 1990). It is part of the Ras-homologous Rho subfamily coordination of apical membrane morphogenesis, lumen formation and of GTPases, of which there are 20 members in humans, including junction maturation. In parallel, work in yeast and Caenorhabditis elegans the RhoA and Rac GTPases, (Hall, 2012). Rho, Rac and Cdc42 has provided important clues as to how this molecular switch can homologues are found in all eukaryotes, except for plants, which do generate and regulate polarity through localized activation or inhibition, not have a clear homologue for Cdc42. Together, the function of and cytoskeleton regulation. Recent studies have revealed how Rho GTPases influences most, if not all, cellular processes. important and complex these regulations can be during epithelial In the early 1990s, seminal work from Alan Hall and his morphogenesis. This complexity is mirrored by the fact that Cdc42 can collaborators identified Rho, Rac and Cdc42 as main regulators of exert its function through many effector proteins. -
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 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. -
Overview of Nucleotide Sugar Transporter Gene Family Functions Across Multiple Species
Review Overview of Nucleotide Sugar Transporter Gene Family Functions Across Multiple Species Ariel Orellana 1,2, Carol Moraga 1, Macarena Araya 1 and Adrian Moreno 1,2 1 - Centro de Biotecnología Vegetal, Universidad Andres Bello, Av. República 217, Santiago, RM 837-0146, Chile 2 - FONDAP Center for Genome Regulation, Santiago, RM,Chile Correspondence to Ariel Orellana: Centro de Biotecnología Vegetal, Universidad Andres Bello, Av. República 217, Santiago, RM 837-0146, Chile. [email protected] http://dx.doi.org/10.1016/j.jmb.2016.05.021 Edited by Thomas J. Smith Abstract Glycoproteins and glycolipids are crucial in a number of cellular processes, such as growth, development, and responses to external cues, among others. Polysaccharides, another class of sugar-containing molecules, also play important structural and signaling roles in the extracellular matrix. The additions of glycans to proteins and lipids, as well as polysaccharide synthesis, are processes that primarily occur in the Golgi apparatus, and the substrates used in this biosynthetic process are nucleotide sugars. These proteins, lipids, and polysaccharides are also modified by the addition of sulfate groups in the Golgi apparatus in a series of reactions where nucleotide sulfate is needed. The required nucleotide sugar substrates are mainly synthesized in the cytosol and transported into the Golgi apparatus by nucleotide sugar transporters (NSTs), which can additionally transport nucleotide sulfate. Due to the critical role of NSTs in eukaryotic organisms, any malfunction of these could change glycan and polysaccharide structures, thus affecting function and altering organism physiology. For example, mutations or deletion on NST genes lead to pathological conditions in humans or alter cell walls in plants. -
Technologies Available for Licensing
Technologies Available for Licensing Office of Innovation and Industry Alliances www.moffittip.com IMMUNOTHERAPIES CD40: CD40 Agonists for Improved ex vivo TIL Manufacturing 21MA018N T cell: T cells expressing anti-CD3 antibodies autoactivate and decrease expression of T cell receptors to treat GVHD, or make T cells suitable for off-the- 21MA013N shelf treatment of allogeneic subjects ITAM: Human ITAM Mutated Variants For Better Intracellular Signaling Domains 21MA008N For Gamma-Delta CAR T-Cell Activation ESR1: Cancer Vaccine Using Novel ESR1 Derived Peptides For Neoantigen 20MB062N Therapy NOTCH: Single-domain antibodies (nanobodies) targeting the notch ligand DLL4 to 20MB053N Disrupt the interaction of DLL4 and Notch1 for GVHD CD33 CD123 NKG2DL: Bispecific Gamma Delta CAR-T Cells that Recognize 20MB050N CD33, CD123 and NKG2D Ligands for the Treatment of Acute Myeloid Leukemia OR2H1 or OR5V1: Olfactory Receptor Targeting Chimeric Antigen Receptor 20MA027 Expressing T cell (CAR-T) for Solid Tumors HER-2: Combination Therapy of a HER2-DC1 Dendritic Cell Cancer Vaccine and a 20MA016N Probiotic TILs: 12 Chemokine Gene Expression Signature to Increase the Efficacy of 20MA013N Manufacturing Tumor Infiltrating Lymphocytes PERK, IRE1: Method of Enhancing Immunotherapy Using ER Stress Pathway 20MA005 Inhibitors PGC-1α: CAR T Cells Engineered to Express PGC-1 alpha Demonstrate Enhanced 19MB066 Metabolic Fitness PGC-1α: N-Terminal Mutant PGC-1α Overexpression Enhances Metabolic Fitness 19MB066T2 Reducing CAR-T Exhaustion while Maintaining Proliferative Capacity TILs: Fucose increases tumor cell HLA-DRB1 expression increasing CD4+ T-cell 19MB049N activation with synergistic tumor killing activity with anti-PD1 checkpoint inhibitors Antibodies: Fully Human Anti-BDNF Antibodies 19MB048N Antibodies: Fully Human Anti-TSPAN7 Antibodies 19MB047N T-Bet: T-Bet Transcription Factor Armed CAR-T Cells Maintain Memory 19MA035N Phenotypes and Rescue CD4 Cells Leading to Increased Persistence Haskell Adler PhD MBA CLP Charlie Shaw PhD Praba Soundararajan PhD Sr. -
Cldn19 Clic2 Clmp Cln3
NewbornDx™ Advanced Sequencing Evaluation When time to diagnosis matters, the NewbornDx™ Advanced Sequencing Evaluation from Athena Diagnostics delivers rapid, 5- to 7-day results on a targeted 1,722-genes. A2ML1 ALAD ATM CAV1 CLDN19 CTNS DOCK7 ETFB FOXC2 GLUL HOXC13 JAK3 AAAS ALAS2 ATP1A2 CBL CLIC2 CTRC DOCK8 ETFDH FOXE1 GLYCTK HOXD13 JUP AARS2 ALDH18A1 ATP1A3 CBS CLMP CTSA DOK7 ETHE1 FOXE3 GM2A HPD KANK1 AASS ALDH1A2 ATP2B3 CC2D2A CLN3 CTSD DOLK EVC FOXF1 GMPPA HPGD K ANSL1 ABAT ALDH3A2 ATP5A1 CCDC103 CLN5 CTSK DPAGT1 EVC2 FOXG1 GMPPB HPRT1 KAT6B ABCA12 ALDH4A1 ATP5E CCDC114 CLN6 CUBN DPM1 EXOC4 FOXH1 GNA11 HPSE2 KCNA2 ABCA3 ALDH5A1 ATP6AP2 CCDC151 CLN8 CUL4B DPM2 EXOSC3 FOXI1 GNAI3 HRAS KCNB1 ABCA4 ALDH7A1 ATP6V0A2 CCDC22 CLP1 CUL7 DPM3 EXPH5 FOXL2 GNAO1 HSD17B10 KCND2 ABCB11 ALDOA ATP6V1B1 CCDC39 CLPB CXCR4 DPP6 EYA1 FOXP1 GNAS HSD17B4 KCNE1 ABCB4 ALDOB ATP7A CCDC40 CLPP CYB5R3 DPYD EZH2 FOXP2 GNE HSD3B2 KCNE2 ABCB6 ALG1 ATP8A2 CCDC65 CNNM2 CYC1 DPYS F10 FOXP3 GNMT HSD3B7 KCNH2 ABCB7 ALG11 ATP8B1 CCDC78 CNTN1 CYP11B1 DRC1 F11 FOXRED1 GNPAT HSPD1 KCNH5 ABCC2 ALG12 ATPAF2 CCDC8 CNTNAP1 CYP11B2 DSC2 F13A1 FRAS1 GNPTAB HSPG2 KCNJ10 ABCC8 ALG13 ATR CCDC88C CNTNAP2 CYP17A1 DSG1 F13B FREM1 GNPTG HUWE1 KCNJ11 ABCC9 ALG14 ATRX CCND2 COA5 CYP1B1 DSP F2 FREM2 GNS HYDIN KCNJ13 ABCD3 ALG2 AUH CCNO COG1 CYP24A1 DST F5 FRMD7 GORAB HYLS1 KCNJ2 ABCD4 ALG3 B3GALNT2 CCS COG4 CYP26C1 DSTYK F7 FTCD GP1BA IBA57 KCNJ5 ABHD5 ALG6 B3GAT3 CCT5 COG5 CYP27A1 DTNA F8 FTO GP1BB ICK KCNJ8 ACAD8 ALG8 B3GLCT CD151 COG6 CYP27B1 DUOX2 F9 FUCA1 GP6 ICOS KCNK3 ACAD9 ALG9 -
High Throughput Strategies Aimed at Closing the GAP in Our Knowledge of Rho Gtpase Signaling
cells Review High Throughput strategies Aimed at Closing the GAP in Our Knowledge of Rho GTPase Signaling Manel Dahmene 1, Laura Quirion 2 and Mélanie Laurin 1,3,* 1 Oncology Division, CHU de Québec–Université Laval Research Center, Québec, QC G1V 4G2, Canada; [email protected] 2 Montréal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada; [email protected] 3 Université Laval Cancer Research Center, Québec, QC G1R 3S3, Canada * Correspondence: [email protected] Received: 21 May 2020; Accepted: 7 June 2020; Published: 9 June 2020 Abstract: Since their discovery, Rho GTPases have emerged as key regulators of cytoskeletal dynamics. In humans, there are 20 Rho GTPases and more than 150 regulators that belong to the RhoGEF, RhoGAP, and RhoGDI families. Throughout development, Rho GTPases choregraph a plethora of cellular processes essential for cellular migration, cell–cell junctions, and cell polarity assembly. Rho GTPases are also significant mediators of cancer cell invasion. Nevertheless, to date only a few molecules from these intricate signaling networks have been studied in depth, which has prevented appreciation for the full scope of Rho GTPases’ biological functions. Given the large complexity involved, system level studies are required to fully grasp the extent of their biological roles and regulation. Recently, several groups have tackled this challenge by using proteomic approaches to map the full repertoire of Rho GTPases and Rho regulators protein interactions. These studies have provided in-depth understanding of Rho regulators specificity and have contributed to expand Rho GTPases’ effector portfolio. Additionally, new roles for understudied family members were unraveled using high throughput screening strategies using cell culture models and mouse embryos. -
2021 Code Changes Reference Guide
Boston University Medical Group 2021 CPT Code Changes Reference Guide Page 1 of 51 Background Current Procedural Terminology (CPT) was created by the American Medical Association (AMA) in 1966. It is designed to be a means of effective and dependable communication among physicians, patients, and third-party payers. CPT provides a uniform coding scheme that accurately describes medical, surgical, and diagnostic services. CPT is used for public and private reimbursement systems; development of guidelines for medical care review; as a basis for local, regional, and national utilization comparisons; and medical education and research. CPT Category I codes describe procedures and services that are consistent with contemporary medical practice. Category I codes are five-digit numeric codes. CPT Category II codes facilitate data collection for certain services and test results that contribute to positive health outcomes and quality patient care. These codes are optional and used for performance management. They are alphanumeric five-digit codes with the alpha character F in the last position. CPT Category III codes represent emerging technologies. They are alphanumeric five-digit codes with the alpha character T in the last position. The CPT Editorial Panel, appointed by the AMA Board of Trustees, is responsible for maintaining and updating the CPT code set. Purpose The AMA makes annual updates to the CPT code set, effective January 1. These updates include deleted codes, revised codes, and new codes. It’s important for providers to understand the code changes and the impact those changes will have to systems, workflow, reimbursement, and RVUs. This document is meant to assist you with this by providing a summary of the changes; a detailed breakdown of this year’s CPT changes by specialty, and HCPCS Updates for your reference. -
Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors
fncel-11-00003 January 20, 2017 Time: 14:24 # 1 CORE Metadata, citation and similar papers at core.ac.uk Provided by Frontiers - Publisher Connector ORIGINAL RESEARCH published: 24 January 2017 doi: 10.3389/fncel.2017.00003 Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors Nikolina Jovancevic1*, Kirsten A. Wunderlich2, Claudia Haering1, Caroline Flegel1, Désirée Maßberg1, Markus Weinrich1, Lea Weber1, Lars Tebbe2, Anselm Kampik3, Günter Gisselmann1, Uwe Wolfrum2, Hanns Hatt1† and Lian Gelis1† 1 Department of Cell Physiology, Ruhr-University Bochum, Bochum, Germany, 2 Department of Cell and Matrix Biology, Johannes Gutenberg University of Mainz, Mainz, Germany, 3 Department of Ophthalmology, Ludwig Maximilian University of Munich, Munich, Germany Several studies have demonstrated that the expression of odorant receptors (ORs) occurs in various tissues. These findings have served as a basis for functional studies that demonstrate the potential of ORs as drug targets for a clinical application. To the best of our knowledge, this report describes the first evaluation of the mRNA expression of ORs and the localization of OR proteins in the human retina that set a Edited by: stage for subsequent functional analyses. RNA-Sequencing datasets of three individual Hansen Wang, University of Toronto, Canada neural retinae were generated using Next-generation sequencing and were compared Reviewed by: to previously published but reanalyzed datasets of the peripheral and the macular Ewald Grosse-Wilde, human retina and to reference tissues. The protein localization of several ORs was Max Planck Institute for Chemical Ecology (MPG), Germany investigated by immunohistochemistry. The transcriptome analyses detected an average Takaaki Sato, of 14 OR transcripts in the neural retina, of which OR6B3 is one of the most highly National Institute of Advanced expressed ORs. -
158273472.Pdf
ANNUAL .2003REPCOLD SPRING HARBOR LABORATORY .1; ANNUAL REPORT 2003 © 2004 by Cold Spring Harbor Laboratory Cold Spring Harbor Laboratory One Bungtown Road Cold Spring Harbor, New York 11724 Web Site: www.cshl.edu Managing Editors Jeff Picarello, Lisa Becker Production Editor Rena Steuer Copy Editor Dorothy Brown Development Manager Jan Argentine Project Coordinators Maria Falasca, Nora Rice Production Manager Denise Weiss Desktop Editor Susan Schaefer Nonscientific Photography Miriam Chua, Bill Geddes Cover Designer Denise Weiss Book Designer Emily Harste Front cover: McClintock Laboratory (right) and Carnegie Library (left) (photos by Miriam Chua) Back cover: Magnolia Kobus on grounds of Cold Spring Harbor Laboratory (photo by Bruce Stillman) Section title pages: Miriam Chua Contents Officers of the Corporation/Board of Trusteesiv-v Governancevi Committees vii Edwin Marks (1926-2003) viii PRESIDENT'S REPORT Highlights5 CHIEF OPERATING OFFICER'S REPORT 25 50TH ANNIVERSARY OF THE DOUBLE HELIX 29 RESEARCH 47 Cancer: Gene Expression 49 Cancer: Genetics 74 Cancer: Cell Biology 106 Bioinformatics and Genomics 134 Neuroscience152 Plant Development and Genetics 199 CSHL Fellows 212 Author Index 217 WATSON SCHOOL OF BIOLOGICAL SCIENCES 219 Dean's Report 221 Courses 238 Undergraduate Research Program245 Partners for the Future 248 Nature Study 249 COLD SPRING HARBOR LABORATORY MEETINGS AND COURSES 251 Academic Affairs253 Symposium on Quantitative Biology 255 Meetings 258 Postgraduate Courses295 Seminars 353 BANBURY CENTER 355 Director's Report357 Meetings 365 DOLAN DNA LEARNING CENTER 403 Director's Report 405 Workshops, Meetings, and Collaborations 418 COLD SPRING HARBOR LABORATORY PRESS 425 Publications 426 Executive Director's Report 427 FINANCE 431 History of the CSHL Endowment 433 Financial Statements 444 Financial Support448 Grants448 Institutional Advancement 457 Capital and Program Contributions 458 Watson School of Biological Sciences Capital Campaign 459 Annual Contributions 460 LABORATORY STAFF 474 III Officers of the Corporation William R.