The Small G-Proteins K-Ras, H-Ras, and N-Ras Function As GDP–GTP
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The Rac Gtpase in Cancer: from Old Concepts to New Paradigms Marcelo G
Published OnlineFirst August 14, 2017; DOI: 10.1158/0008-5472.CAN-17-1456 Cancer Review Research The Rac GTPase in Cancer: From Old Concepts to New Paradigms Marcelo G. Kazanietz1 and Maria J. Caloca2 Abstract Rho family GTPases are critical regulators of cellular func- mislocalization of Rac signaling components. The unexpected tions that play important roles in cancer progression. Aberrant pro-oncogenic functions of Rac GTPase-activating proteins also activity of Rho small G-proteins, particularly Rac1 and their challenged the dogma that these negative Rac regulators solely regulators, is a hallmark of cancer and contributes to the act as tumor suppressors. The potential contribution of Rac tumorigenic and metastatic phenotypes of cancer cells. This hyperactivation to resistance to anticancer agents, including review examines the multiple mechanisms leading to Rac1 targeted therapies, as well as to the suppression of antitumor hyperactivation, particularly focusing on emerging paradigms immune response, highlights the critical need to develop ther- that involve gain-of-function mutations in Rac and guanine apeutic strategies to target the Rac pathway in a clinical setting. nucleotide exchange factors, defects in Rac1 degradation, and Cancer Res; 77(20); 5445–51. Ó2017 AACR. Introduction directed toward targeting Rho-regulated pathways for battling cancer. Exactly 25 years ago, two seminal papers by Alan Hall and Nearly all Rho GTPases act as molecular switches that cycle colleagues illuminated us with one of the most influential dis- between GDP-bound (inactive) and GTP-bound (active) forms. coveries in cancer signaling: the association of Ras-related small Activation is promoted by guanine nucleotide exchange factors GTPases of the Rho family with actin cytoskeleton reorganization (GEF) responsible for GDP dissociation, a process that normally (1, 2). -
A GTP-State Specific Cyclic Peptide Inhibitor of the Gtpase Gαs
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.25.054080; this version posted April 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. A GTP-state specific cyclic peptide inhibitor of the GTPase Gαs Shizhong A. Dai1,2†, Qi Hu1,2†, Rong Gao3†, Andre Lazar1,4†, Ziyang Zhang1,2, Mark von Zastrow1,4, Hiroaki Suga3*, Kevan M. Shokat1,2* 5 1Department of Cellular and Molecular Pharmacology, University of California San Francisco, San Francisco, CA, 94158, USA 2Howard Hughes Medical Institute 3Department of Chemistry, Graduate School of Science, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan 10 4Department of Psychiatry, University of California, San Francisco, San Francisco, CA, 94158, USA *Correspondence to: [email protected], [email protected] †These authors contributed equally. 15 20 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.04.25.054080; this version posted April 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract: The G protein-coupled receptor (GPCR) cascade leading to production of the second messenger cAMP is replete with pharmacologically targetable receptors and enzymes with the exception of the stimulatory G protein α subunit, Gαs. -
Hras Intracellular Trafficking and Signal Transduction Jodi Ho-Jung Mckay Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 2007 HRas intracellular trafficking and signal transduction Jodi Ho-Jung McKay Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Biological Phenomena, Cell Phenomena, and Immunity Commons, Cancer Biology Commons, Cell Biology Commons, Genetics and Genomics Commons, and the Medical Cell Biology Commons Recommended Citation McKay, Jodi Ho-Jung, "HRas intracellular trafficking and signal transduction" (2007). Retrospective Theses and Dissertations. 13946. https://lib.dr.iastate.edu/rtd/13946 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. HRas intracellular trafficking and signal transduction by Jodi Ho-Jung McKay A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Genetics Program of Study Committee: Janice E. Buss, Co-major Professor Linda Ambrosio, Co-major Professor Diane Bassham Drena Dobbs Ted Huiatt Iowa State University Ames, Iowa 2007 Copyright © Jodi Ho-Jung McKay, 2007. All rights reserved. UMI Number: 3274881 Copyright 2007 by McKay, Jodi Ho-Jung All rights reserved. UMI Microform 3274881 Copyright 2008 by ProQuest Information and Learning Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest Information and Learning Company 300 North Zeeb Road P.O. -
Clinical Utility of Recently Identified Diagnostic, Prognostic, And
Modern Pathology (2017) 30, 1338–1366 1338 © 2017 USCAP, Inc All rights reserved 0893-3952/17 $32.00 Clinical utility of recently identified diagnostic, prognostic, and predictive molecular biomarkers in mature B-cell neoplasms Arantza Onaindia1, L Jeffrey Medeiros2 and Keyur P Patel2 1Instituto de Investigacion Marques de Valdecilla (IDIVAL)/Hospital Universitario Marques de Valdecilla, Santander, Spain and 2Department of Hematopathology, MD Anderson Cancer Center, Houston, TX, USA Genomic profiling studies have provided new insights into the pathogenesis of mature B-cell neoplasms and have identified markers with prognostic impact. Recurrent mutations in tumor-suppressor genes (TP53, BIRC3, ATM), and common signaling pathways, such as the B-cell receptor (CD79A, CD79B, CARD11, TCF3, ID3), Toll- like receptor (MYD88), NOTCH (NOTCH1/2), nuclear factor-κB, and mitogen activated kinase signaling, have been identified in B-cell neoplasms. Chronic lymphocytic leukemia/small lymphocytic lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma, Burkitt lymphoma, Waldenström macroglobulinemia, hairy cell leukemia, and marginal zone lymphomas of splenic, nodal, and extranodal types represent examples of B-cell neoplasms in which novel molecular biomarkers have been discovered in recent years. In addition, ongoing retrospective correlative and prospective outcome studies have resulted in an enhanced understanding of the clinical utility of novel biomarkers. This progress is reflected in the 2016 update of the World Health Organization classification of lymphoid neoplasms, which lists as many as 41 mature B-cell neoplasms (including provisional categories). Consequently, molecular genetic studies are increasingly being applied for the clinical workup of many of these neoplasms. In this review, we focus on the diagnostic, prognostic, and/or therapeutic utility of molecular biomarkers in mature B-cell neoplasms. -
Myopia Genetics Report
Special Issue IMI – Myopia Genetics Report Milly S. Tedja,1,2 Annechien E. G. Haarman,1,2 Magda A. Meester-Smoor,1,2 Jaakko Kaprio,3,4 David A. Mackey,5–7 Jeremy A. Guggenheim,8 Christopher J. Hammond,9 Virginie J. M. Verhoeven,1,2,10 and Caroline C. W. Klaver1,2,11; for the CREAM Consortium 1Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands 2Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands 3Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland 4Department of Public Health, University of Helsinki, Helsinki, Finland 5Centre for Eye Research Australia, Ophthalmology, Department of Surgery, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia 6Department of Ophthalmology, Menzies Institute of Medical Research, University of Tasmania, Hobart, Tasmania, Australia 7Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia 8School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom 9Section of Academic Ophthalmology, School of Life Course Sciences, King’s College London, London, United Kingdom 10Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands 11Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands Correspondence: Caroline C. W. The knowledge on the genetic background of refractive error and myopia has expanded Klaver, Erasmus Medical Center, dramatically in the past few years. This white paper aims to provide a concise summary of Room Na-2808, P.O. Box 2040, 3000 current genetic findings and defines the direction where development is needed. CA, Rotterdam, the Netherlands; [email protected]. We performed an extensive literature search and conducted informal discussions with key MST and AEGH contributed equally to stakeholders. -
Tumor Markers
Tumor Markers Alan H.B. Wu, Ph.D. Professor, Laboratory Medicine, UCSF Section Chief, Clinical Chemistry, Toxicology, Pharmacogenomics Laboratory, SFGH Learning objectives • Know the ideal characteristics of a tumor marker • Understand the role of tumor markers for diagnosis and management of patients with cancer. • Know the emerging technologies for tumor markers • Understand the role of tumor markers for therapeutic selection How do we diagnose cancer today? Physical Examination Blood tests CT scans Biopsy Human Prostate Cancer Normal Blood Smear Chronic Myeloid Leukemia Death rates for cancer vs. heart disease New cancer cases per year Cancer Site or Type New Cases Prostate 218,000 Lung 222,500 Breast 207,500 Colorectal 149,000 Urinary system 131,500 Skin 68,770 Pancreas 43,100 Ovarian 22,000 Myeloma 20,200 Thyroid 44,700 Germ Cell 9,000 Types of Tumor Markers • Hormones (hCG; calcitonin; gastrin; prolactin;) • Enzymes (acid phosphatase; alkaline phosphatase; PSA) • Cancer antigen proteins & glycoproteins (CA125; CA 15.3; CA19.9) • Metabolites (norepinephrine, epinephrine) • Normal proteins (thyroglobulin) • Oncofetal antigens (CEA, AFP) • Receptors (ER, PR, EGFR) • Genetic changes (mutations/translocations, etc.) Characteristics of an ideal tumor marker • Specificity for a single type of cancer • High sensitivity and specificity for cancerous growth • Correlation of marker level with tumor size • Homogeneous (i.e., minimal post-translational modifications) • Short half-life in circulation Roles for tumor markers • Determine risk (PSA) -
Screening for Tumor Suppressors: Loss of Ephrin PNAS PLUS Receptor A2 Cooperates with Oncogenic Kras in Promoting Lung Adenocarcinoma
Screening for tumor suppressors: Loss of ephrin PNAS PLUS receptor A2 cooperates with oncogenic KRas in promoting lung adenocarcinoma Narayana Yeddulaa, Yifeng Xiaa, Eugene Kea, Joep Beumera,b, and Inder M. Vermaa,1 aLaboratory of Genetics, The Salk Institute for Biological Studies, La Jolla, CA 92037; and bHubrecht Institute, Utrecht, The Netherlands Contributed by Inder M. Verma, October 12, 2015 (sent for review July 28, 2015; reviewed by Anton Berns, Tyler Jacks, and Frank McCormick) Lung adenocarcinoma, a major form of non-small cell lung cancer, injections in embryonic skin cells identified several potential tu- is the leading cause of cancer deaths. The Cancer Genome Atlas morigenic factors (14–16). None of the reported studies have analysis of lung adenocarcinoma has identified a large number of performed direct shRNA-mediated high-throughput approaches previously unknown copy number alterations and mutations, re- in adult mice recapitulating the mode of tumorigenesis in humans. quiring experimental validation before use in therapeutics. Here, we Activating mutations at positions 12, 13, and 61 amino acids in describe an shRNA-mediated high-throughput approach to test a set Kirsten rat sarcoma viral oncogene homolog (KRas) contributes of genes for their ability to function as tumor suppressors in the to tumorigenesis in 32% of lung adenocarcinoma patients (2) by background of mutant KRas and WT Tp53. We identified several activating downstream signaling cascades. Mice with the KRasG12D candidate genes from tumors originated from lentiviral delivery of allele develop benign adenomatous lesions with long latency to shRNAs along with Cre recombinase into lungs of Loxp-stop-Loxp- develop adenocarcinoma (17, 18). -
Identification of HRAS Mutations and Absence of GNAQ Or GNA11
Modern Pathology (2013) 26, 1320–1328 1320 & 2013 USCAP, Inc All rights reserved 0893-3952/13 $32.00 Identification of HRAS mutations and absence of GNAQ or GNA11 mutations in deep penetrating nevi Ryan P Bender1, Matthew J McGinniss2, Paula Esmay1, Elsa F Velazquez3,4 and Julie DR Reimann3,4 1Caris Life Sciences, Phoenix, AZ, USA; 2Genoptix Medical Laboratory, Carlsbad, CA, USA; 3Dermatopathology Division, Miraca Life Sciences Research Institute, Newton, MA, USA and 4Department of Dermatology, Tufts Medical Center, Boston, MA, USA HRAS is mutated in B15% of Spitz nevi, and GNAQ or GNA11 is mutated in blue nevi (46–83% and B7% respectively). Epithelioid blue nevi and deep penetrating nevi show features of both blue nevi (intradermal location, pigmentation) and Spitz nevi (epithelioid morphology). Epithelioid blue nevi and deep penetrating nevi can also show overlapping features with melanoma, posing a diagnostic challenge. Although epithelioid blue nevi are considered blue nevic variants, no GNAQ or GNA11 mutations have been reported. Classification of deep penetrating nevi as blue nevic variants has also been proposed, however, no GNAQ or GNA11 mutations have been reported and none have been tested for HRAS mutations. To better characterize these tumors, we performed mutational analysis for GNAQ, GNA11, and HRAS, with blue nevi and Spitz nevi as controls. Within deep penetrating nevi, none demonstrated GNAQ or GNA11 mutations (0/38). However, 6% revealed HRAS mutation (2/32). Twenty percent of epithelioid blue nevi contained a GNAQ mutation (2/10), while none displayed GNA11 or HRAS mutation. Eighty-seven percent of blue nevi contained a GNAQ mutation (26/30), 4% a GNA11 mutation (1/28), and none an HRAS mutation. -
Prevalence of Mutations in TSHR, GNAS, PRKAR1A and RAS Genes
European Journal of Endocrinology (2008) 159 623–631 ISSN 0804-4643 CLINICAL STUDY Prevalence of mutations in TSHR, GNAS, PRKAR1A and RAS genes in a large series of toxic thyroid adenomas from Galicia, an iodine-deficient area in NW Spain F Palos-Paz1, O Perez-Guerra1, J Cameselle-Teijeiro3,CRueda-Chimeno5, F Barreiro-Morandeira4, J Lado-Abeal1,2 and the Galician Group for the Study of Toxic Multinodular Goitre: D Araujo Vilar1,2, R Argueso7, O Barca1, MBotana7, J M Cabezas-Agrı´cola2, P Catalina6, L Dominguez Gerpe1, T Fernandez9, A Mato8, A Nun˜o11,MPenin10 and B Victoria1 1Unidade de Enfermedades Tiroideas e Metabo´licas (UETeM), 2Endocrinology Section, Department of Medicine, 3Pathology Department and 4Surgery Department, Complexo Hospitalario Universitary de Santiago (CHUS), University of Santiago de Compostela, Santiago de Compostela, 15705, Spain, 5General Surgery Section and 6Endocrinology Section, Complexo Hospitalario de Pontevedra, Pontevedra, Spain, 7Endocrinology Section, Complexo Hospitalario Xeral-Calde, Lugo, Spain, 8Endocrinology Section, Complexo Hospitalario de Ourense, Ourense, Spain, 9Endocrinology Section, Complexo Hospitalario Universitario Juan-Canalejo, A Corun˜a, Spain, 10Endocrinology Section, Hospital Arquitecto Marcide, Ferrol, Spain and 11General Surgery Section, Hospital do Meixoeiro, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (Correspondence should be addressed to J Lado-Abeal who is now at UETeM, Department of Medicine, School of Medicine, University of Santiago de Compostela, C/San Francisco sn 15705, Santiago de Compostela, Spain; Email: [email protected]) Abstract Objective: Toxic thyroid adenoma (TA) is a common cause of hyperthyroidism. Mutations in the TSH receptor (TSHR) gene, and less frequently in the adenylate cyclase-stimulating G alpha protein (GNAS) gene, are well established causes of TA in Europe. -
Mosaic Activating Mutations in GNA11 and GNAQ Are Associated with Phakomatosis Pigmentovascularis and Extensive Dermal Melanocytosis Anna C
ORIGINAL ARTICLE Mosaic Activating Mutations in GNA11 and GNAQ Are Associated with Phakomatosis Pigmentovascularis and Extensive Dermal Melanocytosis Anna C. Thomas1,18, Zhiqiang Zeng2,18, Jean-Baptiste Rivie`re3,18, Ryan O’Shaughnessy4, Lara Al-Olabi1, Judith St.-Onge3, David J. Atherton5,He´le`ne Aubert6, Lorea Bagazgoitia7, Se´bastien Barbarot6, Emmanuelle Bourrat8,9, Christine Chiaverini10, W. Kling Chong11, Yannis Duffourd3, Mary Glover5, Leopold Groesser12, Smail Hadj-Rabia13, Henning Hamm14, Rudolf Happle15, Imran Mushtaq16, Jean-Philippe Lacour10, Regula Waelchli5, Marion Wobser14, Pierre Vabres3,17,19, E. Elizabeth Patton2,19 and Veronica A. Kinsler1,5,19 Common birthmarks can be an indicator of underlying genetic disease but are often overlooked. Mongolian blue spots (dermal melanocytosis) are usually localized and transient, but they can be extensive, permanent, and associated with extracutaneous abnormalities. Co-occurrence with vascular birthmarks defines a subtype of phakomatosis pigmentovascularis, a group of syndromes associated with neurovascular, ophthalmological, overgrowth, and malignant complications. Here, we discover that extensive dermal melanocytosis and pha- komatosis pigmentovascularis are associated with activating mutations in GNA11 and GNAQ, genes that encode Ga subunits of heterotrimeric G proteins. The mutations were detected at very low levels in affected tissues but were undetectable in the blood, indicating that these conditions are postzygotic mosaic disorders. R183C Q209L In vitro expression of mutant GNA11 and GNA11 in human cell lines demonstrated activation of the downstream p38 MAPK signaling pathway and the p38, JNK, and ERK pathways, respectively. Transgenic R183C mosaic zebrafish models expressing mutant GNA11 under promoter mitfa developed extensive dermal melanocytosis recapitulating the human phenotype. Phakomatosis pigmentovascularis and extensive dermal melanocytosis are therefore diagnoses in the group of mosaic heterotrimeric G-protein disorders, joining McCune-Albright and Sturge-Weber syndromes. -
Investigating the Mechanism of Hepatocellular Carcinoma Progression by Constructing Genetic and Epigenetic Networks Using NGS Data Identification and Big Database Mining Method
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 48 Research Paper Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method Cheng-Wei Li1, Ping-Yao Chang1, Bor-Sen Chen1 1Laboratory of Control and Systems Biology, National Tsing Hua University, Hsinchu, Taiwan Correspondence to: Bor-Sen Chen, email: [email protected] Keywords: DNA methylation, multiple potential drugs, hepatocarcinogenesis, miRNAs, principal network projection Received: February 19, 2016 Accepted: October 26, 2016 Published: November 04, 2016 ABSTRACT The mechanisms leading to the development and progression of hepatocellular carcinoma (HCC) are complicated and regulated genetically and epigenetically. The recent advancement in high-throughput sequencing has facilitated investigations into the role of genetic and epigenetic regulations in hepatocarcinogenesis. Therefore, we used systems biology and big database mining to construct genetic and epigenetic networks (GENs) using the information about mRNA, miRNA, and methylation profiles of HCC patients. Our approach involves analyzing gene regulatory networks (GRNs), protein-protein networks (PPINs), and epigenetic networks at different stages of hepatocarcinogenesis. The core GENs, influencing each stage of HCC, were extracted via principal network projection (PNP). The pathways during different stages of HCC were compared. We observed that extracellular signals were further transduced to -
The Effects of Oncogenic G12d Mutation on K-Ras Structure, Conformation and Dynamics
bioRxiv preprint doi: https://doi.org/10.1101/178483; this version posted August 19, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. THE EFFECTS OF ONCOGENIC G12D MUTATION ON K-RAS STRUCTURE, CONFORMATION AND DYNAMICS Sezen Vatansever1, 2, 3, Zeynep H. Gümüş2, 3*, Burak Erman1* 1Department of Chemical and Biological Engineering, College of Engineering, Koç University, Rumelifeneri Yolu, 34450, Sarıyer, Istanbul, Turkey 2Department of Genetics and Genomics, 3Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY 10029 *Correspondence: [email protected] (B.E.) and [email protected] (Z.H.G.) ABSTRACT K-Ras is the most frequently mutated protein in human tumors. Activating K-Ras mutations drive cancer initiation, progression and drug resistance, directly leading to nearly a million deaths per year. To understand the mechanisms by which mutations alter K-Ras function, we need to understand their effects on protein dynamics. However, despite decades of research, how oncogenic mutations in K-Ras alter its conformation and dynamics remain to be understood. Here, we present how the most recurrent K-Ras oncogenic mutation, G12D, leads to structural, conformational and dynamical changes that lead to constitutively active K- Ras. We have developed a new integrated MD simulation data analysis approach to quantify such changes in a protein and applied it to K-Ras. Our results show that G12D mutation induces strong negative correlations between the fluctuations of SII and those of the P-loop, Switch I (SI) and α3 regions in K-RasG12D.