THESIS for DOCTORAL DEGREE (Ph.D.)
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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 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. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
Lysophosphatidic Acid Signaling in the Nervous System
Neuron Review Lysophosphatidic Acid Signaling in the Nervous System Yun C. Yung,1,3 Nicole C. Stoddard,1,2,3 Hope Mirendil,1 and Jerold Chun1,* 1Molecular and Cellular Neuroscience Department, Dorris Neuroscience Center, The Scripps Research Institute, La Jolla, CA 92037, USA 2Biomedical Sciences Graduate Program, University of California, San Diego School of Medicine, La Jolla, CA 92037, USA 3Co-first author *Correspondence: [email protected] http://dx.doi.org/10.1016/j.neuron.2015.01.009 The brain is composed of many lipids with varied forms that serve not only as structural components but also as essential signaling molecules. Lysophosphatidic acid (LPA) is an important bioactive lipid species that is part of the lysophospholipid (LP) family. LPA is primarily derived from membrane phospholipids and signals through six cognate G protein-coupled receptors (GPCRs), LPA1-6. These receptors are expressed on most cell types within central and peripheral nervous tissues and have been functionally linked to many neural pro- cesses and pathways. This Review covers a current understanding of LPA signaling in the nervous system, with particular focus on the relevance of LPA to both physiological and diseased states. Introduction LPA synthesis/degradative enzymes (reviewed in Sigal et al., The human brain is composed of approximately 60%–70% lipids 2005; Brindley and Pilquil, 2009; Perrakis and Moolenaar, by dry weight (Svennerholm et al., 1994). These lipids can be 2014). In view of the broad neurobiological influences of LPA divided into two major pools, structural and signaling, which signaling, its dysregulation may lead to diverse neuropathologies include well-known families such as cholesterol, fatty acids, ei- (Bandoh et al., 2000; Houben and Moolenaar, 2011; Yung et al., cosanoids, endocannabinoids, and prostaglandins (Figure 1). -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
P2Y Purinergic Receptors, Endothelial Dysfunction, and Cardiovascular Diseases
International Journal of Molecular Sciences Review P2Y Purinergic Receptors, Endothelial Dysfunction, and Cardiovascular Diseases Derek Strassheim 1, Alexander Verin 2, Robert Batori 2 , Hala Nijmeh 3, Nana Burns 1, Anita Kovacs-Kasa 2, Nagavedi S. Umapathy 4, Janavi Kotamarthi 5, Yash S. Gokhale 5, Vijaya Karoor 1, Kurt R. Stenmark 1,3 and Evgenia Gerasimovskaya 1,3,* 1 The Department of Medicine Cardiovascular and Pulmonary Research Laboratory, University of Colorado Denver, Aurora, CO 80045, USA; [email protected] (D.S.); [email protected] (N.B.); [email protected] (V.K.); [email protected] (K.R.S.) 2 Vascular Biology Center, Augusta University, Augusta, GA 30912, USA; [email protected] (A.V.); [email protected] (R.B.); [email protected] (A.K.-K.) 3 The Department of Pediatrics, Division of Critical Care Medicine, University of Colorado Denver, Aurora, CO 80045, USA; [email protected] 4 Center for Blood Disorders, Augusta University, Augusta, GA 30912, USA; [email protected] 5 The Department of BioMedical Engineering, University of Wisconsin, Madison, WI 53706, USA; [email protected] (J.K.); [email protected] (Y.S.G.) * Correspondence: [email protected]; Tel.: +1-303-724-5614 Received: 25 August 2020; Accepted: 15 September 2020; Published: 18 September 2020 Abstract: Purinergic G-protein-coupled receptors are ancient and the most abundant group of G-protein-coupled receptors (GPCRs). The wide distribution of purinergic receptors in the cardiovascular system, together with the expression of multiple receptor subtypes in endothelial cells (ECs) and other vascular cells demonstrates the physiological importance of the purinergic signaling system in the regulation of the cardiovascular system. -
The Identification of Proteins That Interact with the N-Terminal Domain of Pitx2c
The identification of proteins that interact with the N-terminal domain of Pitx2c Dora Siontas A thesis submitted to McGill University in partial fulfillment of the requirement of the degree of Master of Science Department of Experimental Medicine McGill University Montreal, Quebec Canada August, 2011 © Dora Siontas Table of Contents Page ABSTRACT……………………………………………………………………..… i RÉSUMÉ………………….…………………………………………………...….. ii ACKNOWLEDGMENTS……………….……………………...…………...…... iii ABBREVIATIONS……………………...……………………………………..… iv LIST OF FIGURES ………………………………………………………..…... viii LIST OF TABLES……………………..……………………………………......... x 1. INTRODUCTION…………………………………………………………….... 1 1.1 Left-right asymmetric patterning……………………………………...…. 1 1.2 The left-right asymmetric molecular cascade………………………..…... 2 1.2.1 The left-right molecular cascade in the chick embryo..……………. 2 1.2.2 The left-right molecular cascade in the mouse embryo……….…… 7 1.3 The Pitx2 gene and protein isoforms………………………………….… 10 1.3.1 Identification of PITX2 as a mutated gene in ARS…………......… 11 1.3.2 Pitx2 function….……………………………..………………........… 11 1.3.3 Pitx2 isoforms…………………………………………..………..….. 13 1.3.4 Expression patterns of the different Pitx2 isoforms………............. 15 1.3.5 Pitx2 is important for asymmetric morphogenesis………………... 17 1.4 The Pitx2c N-terminal domain………………………………………...… 19 1.4.1 The Pitx2c N-terminal domain………………………………..…..… 19 1.4.2 Functional experiments with the Pitx2c N-terminal domain….….. 20 1.4.3 Pitx2-interacting proteins…………….……………………………... 23 2. HYPOTHESIS AND OBJECTIVES……………………………………..….. 25 2.1 Rationale…………………………………………………………………. 25 2.2 Hypothesis…………………………………………………………......… 25 2.3 Objectives……………………………………………………….……….. 26 3. MATERIALS AND METHODS………………………………………….…… 27 3.1 Cloning of the m2cN into pGBKT7………………………………………. 27 3.1.1 Midipreparation of pGBKT7…………………………………...…… 27 3.1.2 RT-PCR of m2cN cDNA…………………………………………..…. 27 3.1.3 Purification and digestion of the m2cN and the pGBKT7 vector…. -
Four-Dimensional Live Imaging of Apical Biosynthetic Trafficking Reveals a Post-Golgi Sorting Role of Apical Endosomal Intermediates
Four-dimensional live imaging of apical biosynthetic trafficking reveals a post-Golgi sorting role of apical endosomal intermediates Roland Thuenauera,b,1,2, Ya-Chu Hsua, Jose Maria Carvajal-Gonzaleza,3, Sylvie Debordea,4, Jen-Zen Chuanga, Winfried Römerc,d, Alois Sonnleitnerb, Enrique Rodriguez-Boulana,5, and Ching-Hwa Sunga,5 aMargaret M. Dyson Vision Research Institute, Weill Medical College of Cornell University, New York, NY 10065; bCenter for Advanced Bioanalysis Linz, 4020 Linz, Austria; and cInstitute of Biology II, and dBIOSS Centre for Biological Signalling Studies, Albert-Ludwigs-University Freiburg, 79104 Freiburg, Germany Edited by Keith E. Mostov, University of California School of Medicine, San Francisco, CA, and accepted by the Editorial Board January 17, 2014 (received for review March 11, 2013) Emerging data suggest that in polarized epithelial cells newly is an important regulator of biological processes that require synthesized apical and basolateral plasma membrane proteins apical trafficking, e.g., lumen formation during epithelial tubu- traffic through different endosomal compartments en route to the logenesis (11), apical secretion of discoidal/fusiform vesicles in respective cell surface. However, direct evidence for trans-endo- bladder umbrella cells (12), and apical microvillus morphogenesis somal pathways of plasma membrane proteins is still missing and and rhodopsin localization in fly photoreceptors (13). However, the mechanisms involved are poorly understood. Here, we imaged despite the physiological importance of trans-endosomal traf- the entire biosynthetic route of rhodopsin-GFP, an apical marker in ficking, the underlying mechanisms remain largely unclear. epithelial cells, synchronized through recombinant conditional ag- Previous studies on trans-endosomal trafficking in polarized gregation domains, in live Madin-Darby canine kidney cells using epithelial cells have relied on pulse chase/cell fractionation pro- spinning disk confocal microscopy. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Functional Role of the C-Terminal Amphipathic Helix 8 of Olfactory Receptors and Other G Protein-Coupled Receptors
International Journal of Molecular Sciences Review Functional Role of the C-Terminal Amphipathic Helix 8 of Olfactory Receptors and Other G Protein-Coupled Receptors Takaaki Sato 1,*, Takashi Kawasaki 1, Shouhei Mine 1 and Hiroyoshi Matsumura 2 1 Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology, 1-8-31 Midorioka, Ikeda, Osaka 563-8577, Japan; [email protected] (T.K.); [email protected] (S.M.) 2 College of Life Sciences, Ritsumeikan University, Kusatsu, Shiga 525-8577, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-72-751-8342 Academic Editor: Kathleen Van Craenenbroeck Received: 28 September 2016; Accepted: 14 November 2016; Published: 18 November 2016 Abstract: G protein-coupled receptors (GPCRs) transduce various extracellular signals, such as neurotransmitters, hormones, light, and odorous chemicals, into intracellular signals via G protein activation during neurological, cardiovascular, sensory and reproductive signaling. Common and unique features of interactions between GPCRs and specific G proteins are important for structure-based design of drugs in order to treat GPCR-related diseases. Atomic resolution structures of GPCR complexes with G proteins have revealed shared and extensive interactions between the conserved DRY motif and other residues in transmembrane domains 3 (TM3), 5 and 6, and the target G protein C-terminal region. However, the initial interactions formed between GPCRs and their specific G proteins remain unclear. Alanine scanning mutagenesis of the murine olfactory receptor S6 (mOR-S6) indicated that the N-terminal acidic residue of helix 8 of mOR-S6 is responsible for initial transient and specific interactions with chimeric Gα15_olf, resulting in a response that is 2.2-fold more rapid and 1.7-fold more robust than the interaction with Gα15. -
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. -
Open Questions: What About the 'Other' Rho Gtpases?
Ridley BMC Biology (2016) 14:64 DOI 10.1186/s12915-016-0289-7 COMMENT Open Access Open questions: what about the ‘other’ Rho GTPases? Anne J. Ridley Abstract know if they interact with and/or regulate the activity of other family members. Indeed, by studying only RhoA, Rho GTPases have many and diverse roles in cell Rac1 and Cdc42, we are likely to be missing the real physiology, and some family members are very well functions of many GEFs and GAPs because their targets studied, including RhoA, Rac1 and Cdc42. But many in cells are among the other Rho GTPases. are relatively neglected, and fundamental questions Interestingly, four family members—Rnd1, Rnd2, Rnd3 about their mechanisms and functions remain open. and RhoH—are ‘atypical’, in that they are known to be constitutively GTP-bound and do not hydrolyse GTP: much less is known about how these family members Rho GTPases are household names for anyone who are regulated. RhoU and RhoV have high intrinsic GDP/ works on eukaryotic cell migration and their functions GTP exchange rates, so are unlikely to need GEFs for in cell migration, cell division and cell polarity are de- activation but could still be turned off by GAPs [1, 4]. scribed in most textbooks on cell biology. Yet most of For two other members, RhoBTB1 and RhoBTB2, the what we know about Rho GTPases comes from studying Rho domains are quite divergent in sequence from other a small subset of the many different family members, family members and they are unlikely to be regulated by namely RhoA, Rac1 and Cdc42.