This Thesis Has Been Submitted in Fulfilment of the Requirements for a Postgraduate Degree (E.G
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Contig Protein Description Symbol Anterior Posterior Ratio
Table S2. List of proteins detected in anterior and posterior intestine pooled samples. Data on protein expression are mean ± SEM of 4 pools fed the experimental diets. The number of the contig in the Sea Bream Database (http://nutrigroup-iats.org/seabreamdb) is indicated. Contig Protein Description Symbol Anterior Posterior Ratio Ant/Pos C2_6629 1,4-alpha-glucan-branching enzyme GBE1 0.88±0.1 0.91±0.03 0.98 C2_4764 116 kDa U5 small nuclear ribonucleoprotein component EFTUD2 0.74±0.09 0.71±0.05 1.03 C2_299 14-3-3 protein beta/alpha-1 YWHAB 1.45±0.23 2.18±0.09 0.67 C2_268 14-3-3 protein epsilon YWHAE 1.28±0.2 2.01±0.13 0.63 C2_2474 14-3-3 protein gamma-1 YWHAG 1.8±0.41 2.72±0.09 0.66 C2_1017 14-3-3 protein zeta YWHAZ 1.33±0.14 4.41±0.38 0.30 C2_34474 14-3-3-like protein 2 YWHAQ 1.3±0.11 1.85±0.13 0.70 C2_4902 17-beta-hydroxysteroid dehydrogenase 14 HSD17B14 0.93±0.05 2.33±0.09 0.40 C2_3100 1-acylglycerol-3-phosphate O-acyltransferase ABHD5 ABHD5 0.85±0.07 0.78±0.13 1.10 C2_15440 1-phosphatidylinositol phosphodiesterase PLCD1 0.65±0.12 0.4±0.06 1.65 C2_12986 1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase delta-1 PLCD1 0.76±0.08 1.15±0.16 0.66 C2_4412 1-phosphatidylinositol-4,5-bisphosphate phosphodiesterase gamma-2 PLCG2 1.13±0.08 2.08±0.27 0.54 C2_3170 2,4-dienoyl-CoA reductase, mitochondrial DECR1 1.16±0.1 0.83±0.03 1.39 C2_1520 26S protease regulatory subunit 10B PSMC6 1.37±0.21 1.43±0.04 0.96 C2_4264 26S protease regulatory subunit 4 PSMC1 1.2±0.2 1.78±0.08 0.68 C2_1666 26S protease regulatory subunit 6A PSMC3 1.44±0.24 1.61±0.08 -
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. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Endogenous Protein Interactome of Human UDP-Glucuronosyltransferases Exposed by Untargeted Proteomics
ORIGINAL RESEARCH published: 03 February 2017 doi: 10.3389/fphar.2017.00023 Endogenous Protein Interactome of Human UDP-Glucuronosyltransferases Exposed by Untargeted Proteomics Michèle Rouleau, Yannick Audet-Delage, Sylvie Desjardins, Mélanie Rouleau, Camille Girard-Bock and Chantal Guillemette * Pharmacogenomics Laboratory, Canada Research Chair in Pharmacogenomics, Faculty of Pharmacy, Centre Hospitalier Universitaire de Québec Research Center, Laval University, Québec, QC, Canada The conjugative metabolism mediated by UDP-glucuronosyltransferase enzymes (UGTs) significantly influences the bioavailability and biological responses of endogenous molecule substrates and xenobiotics including drugs. UGTs participate in the regulation of cellular homeostasis by limiting stress induced by toxic molecules, and by Edited by: controlling hormonal signaling networks. Glucuronidation is highly regulated at genomic, Yuji Ishii, transcriptional, post-transcriptional and post-translational levels. However, the UGT Kyushu University, Japan protein interaction network, which is likely to influence glucuronidation, has received Reviewed by: little attention. We investigated the endogenous protein interactome of human UGT1A Ben Lewis, Flinders University, Australia enzymes in main drug metabolizing non-malignant tissues where UGT expression is Shinichi Ikushiro, most prevalent, using an unbiased proteomics approach. Mass spectrometry analysis Toyama Prefectural University, Japan of affinity-purified UGT1A enzymes and associated protein complexes in liver, -
PHASE II DRUG METABOLIZING ENZYMES Petra Jancovaa*, Pavel Anzenbacherb,Eva Anzenbacherova
Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. 2010 Jun; 154(2):103–116. 103 © P. Jancova, P. Anzenbacher, E. Anzenbacherova PHASE II DRUG METABOLIZING ENZYMES Petra Jancovaa*, Pavel Anzenbacherb, Eva Anzenbacherovaa a Department of Medical Chemistry and Biochemistry, Faculty of Medicine and Dentistry, Palacky University, Hnevotinska 3, 775 15 Olomouc, Czech Republic b Department of Pharmacology, Faculty of Medicine and Dentistry, Palacky University, Hnevotinska 3, 775 15 Olomouc E-mail: [email protected] Received: March 29, 2010; Accepted: April 20, 2010 Key words: Phase II biotransformation/UDP-glucuronosyltransferases/Sulfotransferases, N-acetyltransferases/Glutathione S-transferases/Thiopurine S-methyl transferase/Catechol O-methyl transferase Background. Phase II biotransformation reactions (also ‘conjugation reactions’) generally serve as a detoxifying step in drug metabolism. Phase II drug metabolising enzymes are mainly transferases. This review covers the major phase II enzymes: UDP-glucuronosyltransferases, sulfotransferases, N-acetyltransferases, glutathione S-transferases and methyltransferases (mainly thiopurine S-methyl transferase and catechol O-methyl transferase). The focus is on the presence of various forms, on tissue and cellular distribution, on the respective substrates, on genetic polymorphism and finally on the interspecies differences in these enzymes. Methods and Results. A literature search using the following databases PubMed, Science Direct and EBSCO for the years, 1969–2010. Conclusions. Phase II drug metabolizing enzymes play an important role in biotransformation of endogenous compounds and xenobiotics to more easily excretable forms as well as in the metabolic inactivation of pharmacologi- cally active compounds. Reduced metabolising capacity of Phase II enzymes can lead to toxic effects of clinically used drugs. Gene polymorphism/ lack of these enzymes may often play a role in several forms of cancer. -
Endogenous Protein Interactome of Human
Human UGT1A interaction network 1 Endogenous protein interactome of human UDP- 2 glucuronosyltransferases exposed by untargeted proteomics 3 4 5 Michèle Rouleau, Yannick Audet-Delage, Sylvie Desjardins, Mélanie Rouleau, Camille Girard- 6 Bock and Chantal Guillemette* 7 8 Pharmacogenomics Laboratory, Canada Research Chair in Pharmacogenomics, Centre 9 Hospitalier Universitaire (CHU) de Québec Research Center and Faculty of Pharmacy, Laval 10 University, G1V 4G2, Québec, Canada 11 12 13 14 15 *Corresponding author: 16 Chantal Guillemette, Ph.D. 17 Canada Research Chair in Pharmacogenomics 18 Pharmacogenomics Laboratory, CHU de Québec Research Center, R4720 19 2705 Boul. Laurier, Québec, Canada, G1V 4G2 20 Tel. (418) 654-2296 Fax. (418) 654-2298 21 E-mail: [email protected] 22 23 24 25 26 27 28 29 30 31 32 Running title: Human UGT1A interaction network 33 1 Human UGT1A interaction network 1 Number of: Pages: 26 2 Tables: 2 3 Figures: 5 4 References: 62 5 Supplemental Tables: 7 6 Supplemental Figures: 5 7 8 Number of words: Total: 7882 9 Abstract: 229 10 Introduction: 549 11 Results: 1309 12 Discussion: 1403 13 Body Text: 3261 14 15 16 17 18 Abbreviations: AP: affinity purification; UGT, UDP-glucuronosyltransferases; IP, immuno- 19 precipitation; PPIs, protein-protein interactions; UDP-GlcA, Uridine diphospho-glucuronic acid; 20 ER, endoplasmic reticulum; MS, mass spectrometry. 21 22 Keywords: UGT; Proteomics; Protein-protein interaction; Affinity purification; Mass 23 spectrometry; Metabolism; Human tissues; 24 2 Human UGT1A interaction network 1 ABSTRACT 2 3 The conjugative metabolism mediated by UDP-glucuronosyltransferase enzymes (UGTs) 4 significantly influences the bioavailability and biological responses of endogenous molecule 5 substrates and xenobiotics including drugs. -
Exploration on Atypical Kinetics of Ugt1a1 and Ugt1a4
EXPLORATION ON ATYPICAL KINETICS OF UGT1A1 AND UGT1A4 A DISSERTATION SUBMITTED TO THE FACULTY OF THE GRADUATE SCHOOL OF THE UNIVERSITY OF MINNESOTA BY JIN ZHOU IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Dr. Rory P. Remmel, Adviser Dr. Timothy S. Tracy, Co-adviser August 2010 i Acknowledgements I wish to express my sincere appreciation and gratitude to Dr. Rory Remmel and Dr. Timothy Tracy for their guidance over the years of my graudate training. Dr. Remmel and Dr. Tracy both have contributed tremendously to my scientific and personal life. I also wish to thank the members of the examining committee: Dr. Stephen Hecht, Dr. Shana Sturla, and Dr. Chengguo Xing for their assistance and constructive suggestions. I would like to thank everyone who has helped me over the past few years, particularly various members in Drug Design Center, Dr. Peter Villalta in Cancer Center, the faculty and staff of the Department of Medicinal Chemistry, and the members of the Drug Metabolism journal club. Finally, I would like to thank Bristol-Myers Squibb and NIH for their financial support of this project. ii THIS THESIS IS DEDICATED TO MY LOVING HUSBAND AND PARENTS iii Abstract Atypical (non-Michaelis-Menten) kinetics confound straightforward in vitro-in vivo extrapolations on clearance and inhibition potentials of new chemical entities. However, unlike cytochrome P450s, studies on atypical kinetics of uridine 5'- diphospho-glucuronosyltransferases (UGTs) are much less prevalent. With the use of model substrates, the atypical kinetics of two important glucuronidation enzymes, UGT1A1 and UGT1A4, were explored. In Chapter 2 (Part I), two positional isomers dihydrotestosterone (DHT) and trans-androsterone (t-AND) were used as probe substrates and their glucuronidation kinetics with recombinant UGT1A4 were evaluated alone and in the presence of a UGT1A4 substrate (tamoxifen (TAM) or lamotrigine (LTG)). -
Straightjacket/Α2δ3 Deregulation Is Associated with Cardiac Conduction Defects in Myotonic Dystrophy Type 1
bioRxiv preprint doi: https://doi.org/10.1101/431569; this version posted October 2, 2018. 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. Straightjacket/α2δ3 deregulation is associated with cardiac conduction defects in Myotonic Dystrophy type 1 Emilie Plantié1, Masayuki Nakamori2, Yoan Renaud3, Aline Huguet4, Caroline Choquet5, Cristiana Dondi1, Lucile Miquerol5, Masanori Takahashi6, Geneviève Gourdon4, Guillaume Junion1, Teresa Jagla1, Monika Zmojdzian1* and Krzysztof Jagla1* 1 GReD, CNRS UMR6293, INSERM U1103, University of Clermont Auvergne, 28, Place Henri Dunant, 63000 Clermont-Ferrand, France 2 Department of Neurology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan 3 BYONET (www.byonet.fr) 4 Imagine Institute, Inserm UMR1163, 24, boulevard de Montparnasse, 75015 Paris, France 5 Aix-Marseille University, CNRS UMR7288, IBDM Luminy Campus Case 907, 13288 Marseille cedex 9, France 6 Department of Functional Diagnostic Science, Osaka University Graduate School of Medicine, 1-7 Yamadaoka, Suita, Osaka 565-0871, Japan • Correspondence to: Krzysztof Jagla [email protected] and Monika Zmojdzian [email protected] tel. +33 473178181; GReD, CNRS UMR6293, INSERM U1103, University of Clermont Auvergne, 28, Place Henri Dunant, 63000 Clermont-Ferrand, France 1 bioRxiv preprint doi: https://doi.org/10.1101/431569; this version posted October 2, 2018. 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. ABSTRACT Cardiac conduction defects decrease life expectancy in myotonic dystrophy type 1 (DM1), a complex toxic CTG repeat disorder involving misbalance between two RNA- binding factors, MBNL1 and CELF1. -
UGT1A and 2B Isoforms = Key Determinants of Pharmacokinetics, Efficacy and Safety of Many Pediatric Drugs
Ontogeny and Phase II Metabolism of Drugs Stephan Schmidt, BPharm, PhD, FCP Certara Professor Associate Professor & Associate Director CPSP Department of Pharmaceutics University of Florida Disclaimer I am a consultant to pharmaceutical industry I like applied & interdisciplinary research I am presenting on behalf of an interinstitutional and interdisciplinary research team 2 Thank You To The Research Team Roche Postdoc Fellowship funded project (2017/2019) 3 Knowledge Gaps Phase II metabolism: Conjugation reactions (glucuronidation, methylation, sulphation, acetylation, gluthathione conjugation, glycine conjugation) UGT1A and 2B isoforms = key determinants of pharmacokinetics, efficacy and safety of many pediatric drugs Rapid and continuous differentiation and maturation of metabolic functions Limited knowledge ? Ontogeny pattern of hepatic UGTs using multiple probe substrates ? Differences in maturation of activity between UGT isoforms ? Marked age-related differences in activity across UGT isoforms ? Between-subject variability in UGT activity ? Age-independent factors affecting UGT activity efficiency 4 Goals For This Presentation 1. Outline experimental challenges of automated UGT phenotyping assays 2. Discuss UGT ontogeny patterns of major UGT isoforms 3. Discuss impact of age, sex, and ethnicity on UGT activity 4. Provide a case example for the dynamic interplay between phase I and II metabolism, gene-drug interactions, and drug-drug interactions 5 Goals For This Presentation 1. Outline experimental challenges of automated UGT phenotyping assays 2. Discuss UGT ontogeny patterns of major UGT isoforms 3. Discuss impact of age, sex, and ethnicity on UGT activity 4. Provide a case example for the dynamic interplay between phase I and II metabolism, gene-drug interactions, and drug-drug interactions 6 Challenges of UGT Phenotyping Assays Lack of standardized experimental conditions of UGT assays between laboratories, which hinders the comparison of UGT activity across studies . -
Toxicity Review for Di(2-Ethylhexyl) Phthalate (DEHP)
(including carcinogenicity, neurotoxicity, and reproductive and developmental toxicity) are assessed by the CPSC staff using guidelines issued by the Commission (CPSC, 1992). If it is concluded that a substance is “toxic” due to chronic toxicity, then a quantitative assessment of exposure and risk is performed to evaluate whether the chemical may be considered a “hazardous substance”. This memo represents the first step in the risk assessment process; that is, the hazard identification step. * These comments are those of the CPSC staff, have not been reviewed or approved by, and may not necessarily represent the views of, the Commission. Page 2 of 2 KRC Table of Contents Tables ...................................................................................................................................v Figures............................................................................................................................... vii Appendices ........................................................................................................................ vii Abbreviations ................................................................................................................... viii Executive Summary .............................................................................................................x 1. Introduction ....................................................................................................................1 2. Physico-chemical Characteristics ..................................................................................1 -
Kidney V-Atpase-Rich Cell Proteome Database
A comprehensive list of the proteins that are expressed in V-ATPase-rich cells harvested from the kidneys based on the isolation by enzymatic digestion and fluorescence-activated cell sorting (FACS) from transgenic B1-EGFP mice, which express EGFP under the control of the promoter of the V-ATPase-B1 subunit. In these mice, type A and B intercalated cells and connecting segment principal cells of the kidney express EGFP. The protein identification was performed by LC-MS/MS using an LTQ tandem mass spectrometer (Thermo Fisher Scientific). For questions or comments please contact Sylvie Breton ([email protected]) or Mark A. Knepper ([email protected]). -
Metabolic Network-Based Stratification of Hepatocellular Carcinoma Reveals Three Distinct Tumor Subtypes
Metabolic network-based stratification of hepatocellular carcinoma reveals three distinct tumor subtypes Gholamreza Bidkhoria,b,1, Rui Benfeitasa,1, Martina Klevstigc,d, Cheng Zhanga, Jens Nielsene, Mathias Uhlena, Jan Borenc,d, and Adil Mardinoglua,b,e,2 aScience for Life Laboratory, KTH Royal Institute of Technology, SE-17121 Stockholm, Sweden; bCentre for Host-Microbiome Interactions, Dental Institute, King’s College London, SE1 9RT London, United Kingdom; cDepartment of Molecular and Clinical Medicine, University of Gothenburg, SE-41345 Gothenburg, Sweden; dThe Wallenberg Laboratory, Sahlgrenska University Hospital, SE-41345 Gothenburg, Sweden; and eDepartment of Biology and Biological Engineering, Chalmers University of Technology, SE-41296 Gothenburg, Sweden Edited by Sang Yup Lee, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea, and approved November 1, 2018 (received for review April 27, 2018) Hepatocellular carcinoma (HCC) is one of the most frequent forms of of markers associated with recurrence and poor prognosis (13–15). liver cancer, and effective treatment methods are limited due to Moreover, genome-scale metabolic models (GEMs), collections tumor heterogeneity. There is a great need for comprehensive of biochemical reactions, and associated enzymes and transporters approaches to stratify HCC patients, gain biological insights into have been successfully used to characterize the metabolism of subtypes, and ultimately identify effective therapeutic targets. We HCC, as well as identify drug targets for HCC patients (11, 16–18). stratified HCC patients and characterized each subtype using tran- For instance, HCC tumors have been stratified based on the uti- scriptomics data, genome-scale metabolic networks and network lization of acetate (11). Analysis of HCC metabolism has also led topology/controllability analysis.