Carboxylesterases in Lipid Metabolism: from Mouse to Human
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Proteomic Analyses Reveal a Role of Cytoplasmic Droplets As an Energy Source During Sperm Epididymal Maturation
Proteomic analyses reveal a role of cytoplasmic droplets as an energy source during sperm epididymal maturation Shuiqiao Yuana,b, Huili Zhenga, Zhihong Zhengb, Wei Yana,1 aDepartment of Physiology and Cell Biology, University of Nevada School of Medicine, Reno, NV, 89557; and bDepartment of Laboratory Animal Medicine, China Medical University, Shenyang, 110001, China Corresponding author. Email: [email protected] Supplemental Information contains one Figure (Figure S1), three Tables (Tables S1-S3) and two Videos (Videos S1 and S2) files. Figure S1. Scanning electron microscopic images of purified murine cytoplasmic droplets. Arrows point to indentations resembling the resealed defects at the detaching points when CDs come off the sperm flagella. Scale bar = 1µm Table S1 Mass spectrometry-based identifiaction of proteins highly enriched in murine cytoplasmic droplets. # MS/MS View:Identified Proteins (105) Accession Number Molecular Weight Protein Grouping Ambiguity Dot_1_1 Dot_2_1 Dot_3_1 Dot_4_1Dot_5_1 Dot_1_2 Dot_2_2 Dot_3_2 Dot_4_2 Dot_5_2 1 IPI:IPI00467457.3 Tax_Id=10090 Gene_Symbol=Ldhc L-lactate dehydrogenase C chain IPI00467457 36 kDa TRUE 91% 100% 100% 100% 100% 100% 100% 100% 100% 2 IPI:IPI00473320.2 Tax_Id=10090 Gene_Symbol=Actb Putative uncharacterized protein IPI00473320 42 kDa TRUE 75% 100% 100% 100% 100% 89% 76% 100% 100% 100% 3 IPI:IPI00224181.7 Tax_Id=10090 Gene_Symbol=Akr1b7 Aldose reductase-related protein 1 IPI00224181 36 kDa TRUE 100% 100% 76% 100% 100% 4 IPI:IPI00228633.7 Tax_Id=10090 Gene_Symbol=Gpi1 Glucose-6-phosphate -
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. -
Toxicogenomics Applications of New Functional Genomics Technologies in Toxicology
\-\w j Toxicogenomics Applications of new functional genomics technologies in toxicology Wilbert H.M. Heijne Proefschrift ter verkrijging vand egraa dva n doctor opgeza gva nd e rector magnificus vanWageninge n Universiteit, Prof.dr.ir. L. Speelman, in netopenbaa r te verdedigen op maandag6 decembe r200 4 des namiddagst e half twee ind eAul a - Table of contents Abstract Chapter I. page 1 General introduction [1] Chapter II page 21 Toxicogenomics of bromobenzene hepatotoxicity: a combined transcriptomics and proteomics approach[2] Chapter III page 48 Bromobenzene-induced hepatotoxicity atth etranscriptom e level PI Chapter IV page 67 Profiles of metabolites and gene expression in rats with chemically induced hepatic necrosis[4] Chapter V page 88 Liver gene expression profiles in relation to subacute toxicity in rats exposed to benzene[5] Chapter VI page 115 Toxicogenomics analysis of liver gene expression in relation to subacute toxicity in rats exposed totrichloroethylen e [6] Chapter VII page 135 Toxicogenomics analysis ofjoin t effects of benzene and trichloroethylene mixtures in rats m Chapter VII page 159 Discussion and conclusions References page 171 Appendices page 187 Samenvatting page 199 Dankwoord About the author Glossary Abbreviations List of genes Chapter I General introduction Parts of this introduction were publishedin : Molecular Biology in Medicinal Chemistry, Heijne etal., 2003 m NATO Advanced Research Workshop proceedings, Heijne eral., 2003 81 Chapter I 1. General introduction 1.1 Background /.1.1 Toxicologicalrisk -
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 -
The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z
REVIEW pubs.acs.org/CR The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z. Long* and Benjamin F. Cravatt* The Skaggs Institute for Chemical Biology and Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States CONTENTS 2.4. Other Phospholipases 6034 1. Introduction 6023 2.4.1. LIPG (Endothelial Lipase) 6034 2. Small-Molecule Hydrolases 6023 2.4.2. PLA1A (Phosphatidylserine-Specific 2.1. Intracellular Neutral Lipases 6023 PLA1) 6035 2.1.1. LIPE (Hormone-Sensitive Lipase) 6024 2.4.3. LIPH and LIPI (Phosphatidic Acid-Specific 2.1.2. PNPLA2 (Adipose Triglyceride Lipase) 6024 PLA1R and β) 6035 2.1.3. MGLL (Monoacylglycerol Lipase) 6025 2.4.4. PLB1 (Phospholipase B) 6035 2.1.4. DAGLA and DAGLB (Diacylglycerol Lipase 2.4.5. DDHD1 and DDHD2 (DDHD Domain R and β) 6026 Containing 1 and 2) 6035 2.1.5. CES3 (Carboxylesterase 3) 6026 2.4.6. ABHD4 (Alpha/Beta Hydrolase Domain 2.1.6. AADACL1 (Arylacetamide Deacetylase-like 1) 6026 Containing 4) 6036 2.1.7. ABHD6 (Alpha/Beta Hydrolase Domain 2.5. Small-Molecule Amidases 6036 Containing 6) 6027 2.5.1. FAAH and FAAH2 (Fatty Acid Amide 2.1.8. ABHD12 (Alpha/Beta Hydrolase Domain Hydrolase and FAAH2) 6036 Containing 12) 6027 2.5.2. AFMID (Arylformamidase) 6037 2.2. Extracellular Neutral Lipases 6027 2.6. Acyl-CoA Hydrolases 6037 2.2.1. PNLIP (Pancreatic Lipase) 6028 2.6.1. FASN (Fatty Acid Synthase) 6037 2.2.2. PNLIPRP1 and PNLIPR2 (Pancreatic 2.6.2. -
Baboon JMP CES Paper
Baboon carboxylesterases 1 and 2: sequences, structures and phylogenetic relationships with human and other primate carboxylesterases Author Holmes, Roger S, Glenn, Jeremy P, VandeBerg, John L, Cox, Laura A Published 2009 Journal Title Journal of Medical Primatology DOI https://doi.org/10.1111/j.1600-0684.2008.00315.x Copyright Statement © 2009 John Wiley & Sons A/S. This is the author-manuscript version of the paper. Reproduced in accordance with the copyright policy of the publisher.The definitive version is available at www.interscience.wiley.com Downloaded from http://hdl.handle.net/10072/29362 Griffith Research Online https://research-repository.griffith.edu.au Baboon Carboxylesterases 1 and 2: Sequences, Structures and Phylogenetic Relationships with Human and other Primate Carboxylesterases Roger S. Holmes 1,2,3 , Jeremy P. Glenn 1, John L. VandeBerg 1,2 , Laura A. Cox 1,2,4 1. Department of Genetics and 2. Southwest National Primate Research Center, Southwest Foundation for Biomedical Research, San Antonio, TX, USA, and 3. School of Biomolecular and Physical Sciences, Griffith University, Nathan. Queensland, Australia 4. Corresponding Author: Laura A. Cox, Ph.D. Department of Genetics Southwest National Primate Research Center Southwest Foundation for Biomedical Research San Antonio, TX, USA 78227 Email: [email protected] Phone: 210-258-9687 Fax: 210-258-9600 Keywords: cDNA sequence; amino acid sequence; 3-D structure Running Head: Carboxylesterases: sequences and phylogeny Published in Journal of Medical Primatology (2009) 38: 27-38. Abstract Background Carboxylesterase (CES) is predominantly responsible for the detoxification of a wide range of drugs and narcotics, and catalyze several reactions in cholesterol and fatty acid metabolism. -
NIH Public Access Author Manuscript Mamm Genome
NIH Public Access Author Manuscript Mamm Genome. Author manuscript; available in PMC 2011 October 8. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mamm Genome. 2010 October ; 21(9-10): 427±441. doi:10.1007/s00335-010-9284-4. Recommended nomenclature for five mammalian carboxylesterase gene families: human, mouse, and rat genes and proteins Roger S. Holmes Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227-5301, USA Southwest National Primate Research Center, Southwest Foundation for Biomedical Research, San Antonio, TX, USA School of Biomolecular and Physical Sciences, Griffith University, Brisbane, QLD, Australia Matthew W. Wright European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK Stanley J. F. Laulederkind Rat Genome Database, Human Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, WI, USA Laura A. Cox Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, TX 78227-5301, USA Southwest National Primate Research Center, Southwest Foundation for Biomedical Research, San Antonio, TX, USA Masakiyo Hosokawa Laboratory of Drug Metabolism and Biopharmaceutics, Chiba Institute of Science, Choshi, Chiba, Japan Teruko Imai Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, Japan Shun Ishibashi Department of Medicine, Jichi Medical University, Shimotsuke, Tochigi, Japan Richard Lehner CIHR Group on Molecular and Cell Biology of Lipids, University of Alberta, Edmonton, AB, Canada Masao Miyazaki The Institute of Glycoscience, Tokai University, Kanagawa, Japan Everett J. Perkins Department of Drug Disposition, Lilly Research Laboratories, Eli Lilly and Company, Indianapolis, IN, USA Phillip M. Potter © Springer Science+Business Media, LLC 2010 [email protected] . Holmes et al. -
Synthesis, Molecular Docking, and Biological Evaluation of 3-Oxo-2
Bioorganic Chemistry 91 (2019) 103097 Contents lists available at ScienceDirect Bioorganic Chemistry journal homepage: www.elsevier.com/locate/bioorg Synthesis, molecular docking, and biological evaluation of 3-oxo-2- T tolylhydrazinylidene-4,4,4-trifluorobutanoates bearing higher and natural alcohol moieties as new selective carboxylesterase inhibitors Galina F. Makhaevaa, Natalia A. Elkinab, Evgeny V. Shchegolkovb, Natalia P. Boltnevaa, Sofya V. Lushchekinac, Olga G. Serebryakovaa, Elena V. Rudakovaa, Nadezhda V. Kovalevaa, Eugene V. Radchenkod, Vladimir A. Palyulind, Yanina V. Burgartb, Victor I. Saloutinb, ⁎ Sergey O. Bachurina, Rudy J. Richardsone,f, a Institute of Physiologically Active Compounds Russian Academy of Sciences, Chernogolovka 142432, Russia b Postovsky Institute of Organic Synthesis, Urals Branch of Russian Academy of Sciences, Yekaterinburg 620990, Russia c Emanuel Institute of Biochemical Physics Russian Academy of Sciences, Moscow 119334, Russia d Department of Chemistry, Lomonosov Moscow State University, Moscow 119991, Russia e Departments of Environmental Health Sciences and Neurology, University of Michigan, Ann Arbor, MI 48109, USA f Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109, USA ARTICLE INFO ABSTRACT Keywords: To search for effective and selective inhibitors of carboxylesterase (CES), a series of 3-oxo-2-tolylhy- 3-oxo-2-tolylhydrazinylidene-4,4,4- drazinylidene-4,4,4-trifluorobutanoates bearing higher or natural alcohol moieties was synthesized viapre- trifluorobutanoates transesterification of ethyl trifluoroacetylacetate with alcohols to isolate transesterificated oxoesters aslithium Higher alcohols salts, which were then subjected to azo coupling with tolyldiazonium chloride. Inhibitory activity against por- Natural alcohols cine liver CES, along with two structurally related serine hydrolases, acetylcholinesterase and butyr- Transesterification ylcholinesterase, were investigated using enzyme kinetics and molecular docking. -
Identification of Genomic Biomarkers of Exposure to Ahr Ligands Bladimir J Ovando1, Corie a Ellison1, Chad M Vezina2, James R Olson1*
Ovando et al. BMC Genomics 2010, 11:583 http://www.biomedcentral.com/1471-2164/11/583 RESEARCH ARTICLE Open Access Toxicogenomic analysis of exposure to TCDD, PCB126 and PCB153: identification of genomic biomarkers of exposure to AhR ligands Bladimir J Ovando1, Corie A Ellison1, Chad M Vezina2, James R Olson1* Abstract Background: Two year cancer bioassays conducted by the National Toxicology Program have shown chronic exposure to dioxin-like compounds (DLCs) to lead to the development of both neoplastic and non-neoplastic lesions in the hepatic tissue of female Sprague Dawley rats. Most, if not all, of the hepatotoxic effects induced by DLC’s are believed to involve the binding and activation of the transcription factor, the aryl hydrocarbon receptor (AhR). Toxicogenomics was implemented to identify genomic responses that may be contributing to the development of hepatotoxicity in rats. Results: Through comparative analysis of time-course microarray data, unique hepatic gene expression signatures were identified for the DLCs, 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) (100 ng/kg/day) and 3,3’,4,4’,5-pentachlorobiphenyl (PCB126) (1000 ng/kg/day) and the non-DLC 2,2’,4,4’,5,5’,-hexachlorobiphenyl (PCB153) (1000 μg/kg/day). A common time independent signature of 41 AhR genomic biomarkers was identified which exhibited at least a 2-fold change in expression following subchronic (13-wk) and chronic (52-wk) p.o. exposure to TCDD and PCB126, but not the non DLC, PCB153. Real time qPCR analysis validated that 30 of these genes also exhibited at least a 2-fold change in hepatic expression at 24 hr following a single exposure to TCDD (5 μg/kg, po). -
Research Article Complex and Multidimensional Lipid Raft Alterations in a Murine Model of Alzheimer’S Disease
SAGE-Hindawi Access to Research International Journal of Alzheimer’s Disease Volume 2010, Article ID 604792, 56 pages doi:10.4061/2010/604792 Research Article Complex and Multidimensional Lipid Raft Alterations in a Murine Model of Alzheimer’s Disease Wayne Chadwick, 1 Randall Brenneman,1, 2 Bronwen Martin,3 and Stuart Maudsley1 1 Receptor Pharmacology Unit, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224, USA 2 Miller School of Medicine, University of Miami, Miami, FL 33124, USA 3 Metabolism Unit, National Institute on Aging, National Institutes of Health, 251 Bayview Boulevard, Suite 100, Baltimore, MD 21224, USA Correspondence should be addressed to Stuart Maudsley, [email protected] Received 17 May 2010; Accepted 27 July 2010 Academic Editor: Gemma Casadesus Copyright © 2010 Wayne Chadwick et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Various animal models of Alzheimer’s disease (AD) have been created to assist our appreciation of AD pathophysiology, as well as aid development of novel therapeutic strategies. Despite the discovery of mutated proteins that predict the development of AD, there are likely to be many other proteins also involved in this disorder. Complex physiological processes are mediated by coherent interactions of clusters of functionally related proteins. Synaptic dysfunction is one of the hallmarks of AD. Synaptic proteins are organized into multiprotein complexes in high-density membrane structures, known as lipid rafts. These microdomains enable coherent clustering of synergistic signaling proteins. -
Carboxylesterase 1 Plays an Essential Role in Non
CARBOXYLESTERASE 1 PLAYS A PROTECTIVE ROLE AGAINST METABOLIC DISEASE A dissertation submitted to Kent State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy By Jiesi Xu May 2016 © Copyright All rights reserved Except for previously published materials Dissertation written by Jiesi Xu B.S., Jilin University 2008 Ph.D., Kent State University 2016 Approved by ___________________________________ , Chair, Doctoral Dissertation Committee Dr. Yanqiao Zhang, M.D., Associate Professor, NEOMED ___________________________________ , Member, Doctoral Dissertation Committee Dr. John Y.L. Chiang Ph.D., Distinguished Professor, NEOMED ___________________________________, Member, Doctoral Dissertation Committee Dr. Colleen M. Novak, Ph.D., Associate Professor, Kent State University ___________________________________, Member, Doctoral Dissertation Committee Dr. Min You, Ph.D., Professor, NEOMED ___________________________________, Member, Doctoral Dissertation Committee Dr. Eric M. Mintz, Ph.D., Professor, Associate dean, Kent State University Accepted by ___________________________________ , Director, School of Biomedical Sciences Dr. Ernest Freeman, Ph.D. ___________________________________ , Dean, College of Arts and Sciences Dr. James L. Blank, Ph.D ii TABLE OF CONTENTS TABLE OF CONTENTS LIST OF FIGURES ............................................................................................................v LIST OF ABBREVIATIONS .........................................................................................viii -
Age-Dependent Absolute Abundance of Hepatic Carboxylesterases
Supplemental material to this article can be found at: http://dmd.aspetjournals.org/content/suppl/2016/11/28/dmd.116.072652.DC1 1521-009X/45/2/216–223$25.00 http://dx.doi.org/10.1124/dmd.116.072652 DRUG METABOLISM AND DISPOSITION Drug Metab Dispos 45:216–223, February 2017 Copyright ª 2017 by The American Society for Pharmacology and Experimental Therapeutics Age-Dependent Absolute Abundance of Hepatic Carboxylesterases (CES1 and CES2) by LC-MS/MS Proteomics: Application to PBPK Modeling of Oseltamivir In Vivo Pharmacokinetics in Infants s Mikael Boberg, Marc Vrana, Aanchal Mehrotra, Robin E. Pearce, Andrea Gaedigk, Deepak Kumar Bhatt, J. Steven Leeder, and Bhagwat Prasad Department of Pharmaceutics, University of Washington, Seattle, Washington (M.B., M.V., A.M., D.K.B., B.P.); Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden (M.B.); Division of Clinical Pharmacology, Toxicology, and Therapeutic Innovation, Children’s Mercy Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.); and School of Medicine, University of Missouri-Kansas City, Kansas City, Missouri (R.E.P., A.G., J.S.L.) Received July 22, 2016; accepted November 22, 2016 Downloaded from ABSTRACT The age-dependent absolute protein abundance of carboxylester- milligram total protein) increased approximately 5-fold (315.2 vs. ase (CES) 1 and CES2 in human liver was investigated and ap- 1664.4) and approximately 3-fold (59.8 vs. 174.1) from neonates to plied to predict infant pharmacokinetics (PK) of oseltamivir. The adults, respectively. CES1 protein abundance in liver cytosol also CES absolute protein abundance was determined by liquid showed age-dependent maturation.