Modulation of Food Intake by Differential TAS2R Stimulation In
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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. -
Looking for New Classes of Bronchodilators
REVIEW BRONCHODILATORS The future of bronchodilation: looking for new classes of bronchodilators Mario Cazzola1, Paola Rogliani 1 and Maria Gabriella Matera2 Affiliations: 1Dept of Experimental Medicine, University of Rome Tor Vergata, Rome, Italy. 2Dept of Experimental Medicine, University of Campania “Luigi Vanvitelli”, Naples, Italy. Correspondence: Mario Cazzola, Dept of Experimental Medicine, University of Rome Tor Vergata, Via Montpellier 1, Rome, 00133, Italy. E-mail: [email protected] @ERSpublications There is a real interest among researchers and the pharmaceutical industry in developing novel bronchodilators. There are several new opportunities; however, they are mostly in a preclinical phase. They could better optimise bronchodilation. http://bit.ly/2lW1q39 Cite this article as: Cazzola M, Rogliani P, Matera MG. The future of bronchodilation: looking for new classes of bronchodilators. Eur Respir Rev 2019; 28: 190095 [https://doi.org/10.1183/16000617.0095-2019]. ABSTRACT Available bronchodilators can satisfy many of the needs of patients suffering from airway disorders, but they often do not relieve symptoms and their long-term use raises safety concerns. Therefore, there is interest in developing new classes that could help to overcome the limits that characterise the existing classes. At least nine potential new classes of bronchodilators have been identified: 1) selective phosphodiesterase inhibitors; 2) bitter-taste receptor agonists; 3) E-prostanoid receptor 4 agonists; 4) Rho kinase inhibitors; 5) calcilytics; 6) agonists of peroxisome proliferator-activated receptor-γ; 7) agonists of relaxin receptor 1; 8) soluble guanylyl cyclase activators; and 9) pepducins. They are under consideration, but they are mostly in a preclinical phase and, consequently, we still do not know which classes will actually be developed for clinical use and whether it will be proven that a possible clinical benefit outweighs the impact of any adverse effect. -
Taste Receptor Tas2r5 and Tas1r3 Is Expressed in Sublingual Gland
inal chem ic is d t Li et al., Med Chem (Los Angeles) 2018, 8:5 e r M y Medicinal Chemistry DOI: 10.4172/2161-0444.1000504 ISSN: 2161-0444 t Research Article Open Access Taste Receptor Tas2r5 and Tas1r3 is Expressed in Sublingual Gland Feng Li*, Bowen Niu and Mengmin Zhu Shanghai Public Health Clinical Center, Fudan University, Shanghai 201508, China Abstract Type 2 taste receptors (TAS2Rs), a large family of GPCRs, were first discovered in the gustatory system, and are co-expressed in a subset of taste receptor cells and detect bitter-tasting compounds. Type 1 taste receptors (TAS1R3) function as an obligate partner for both the umami receptor and the sweet receptor. Recently, it has become clear that taste receptors are also expressed outside the gustatory system. Here, with Tas2r5-Cre/GFP and Tas1r3-Cre/GFP transgenic mice, the expression of taste receptors (Tas1r3 or Tas2r5) is observed in serous gland and mucous gland of tongue. Taste signal transduction cascade (Gnat3 and PLC-β2) is also detected in serous gland and mucous gland of tongue. After DTA expression in Tas2r5+ and Tas1r3+ cells, the expression of taste receptors and taste signal transduction cascade is ablated in serous and mucous gland of tongue. Keywords: Serous gland; Mucous gland; Taste receptor; Tongue; their associated G-protein genes has also been reported in mammalian Transgenic mice brain, indicating that the Tas1r2/Tas1r3 is a candidate membrane- bound brain glucosensor [18,19]. Introduction In previous study, we generate two transgenic mice with the It is believed that taste is the sensory modality that guides organisms modified BAC-DNA, in which a fusion protein of GFP/Cre is driven to recognize and consume digestible material and avoid toxins. -
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 -
Supplementary Tables Supplemental Table S1: Comparison of the Coverage of Reference Panels Used for SNP Imputation. the Markers
Supplementary Tables Supplemental Table S1: Comparison of the coverage of reference panels used for SNP imputation. The markers on the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) reference panel and Haplotype Reference Consortium (HRG) used to impute SNPs from our AA and CAU participants were compared to one thousand genomes (1kG) dataset. Loci information CAAPA vs 1kG HRC vs 1kG Total loci 45,639,158 90,558,388 Overlapping loci 24,880,301 49,826,569 Percent overlap 54.52% 55.02% 1kG-only loci 9,363,544 15,148,191 Ref-only loci 8,461,186 22,649,501 Supplemental Table S2: SNP imputation results. The total number of SNPs imputed for the AA and CAU participants either using the Michigan imputation server (Minimac) or Beagle. Targets prepared for: AA CAU Beagle 730,616 726,165 Minimac 698,343 660,733 Supplemental Table S3: Allele frequencies of TA2R38 SNPs by each ancestral group and time point. The rs number of each SNP, the location of SNP buy chromosome (CHR) and base pair position (POS) is provided along with the allele frequency (ALLELE:FREQ) for each SNP. Baseline 6-month Baseline 6-month AA (N = 297) AA (N = 234) CAU (N = 198) CAU (N = 151) SNP CHR POS ALLELE:FREQ ALLELE:FREQ ALLELE:FREQ ALLELE:FREQ rs10246939 7 141672604 T:0.49 C:0.51 T:0.50 C:0.50 T:0.54 C:0.46 T:0.54 C:0.46 rs1726866 7 141672705 G:0.68 A:0.32 G:0.68 A:0.32 G:0.46 A:0.54 G:0.46 A:0.54 rs713598 7 141673345 C:0.50 G:0.50 C:0.50 G:0.50 C:0.58 G:0.42 C:0.58 G:0.42 Supplemental Table S4: Linkage disequilibrium analysis of TAS2R38 SNPs at each time point of the intervention. -
(12) United States Patent (10) Patent No.: US 9,347,934 B2 Shekdar Et Al
USOO9347934B2 (12) United States Patent (10) Patent No.: US 9,347,934 B2 Shekdar et al. (45) Date of Patent: May 24, 2016 (54) ASSAYS FOR IDENTIFYING COMPOUNDS 2008, OO38739 A1 2/2008 Li et al. THAT MODULATE BITTERTASTE 2008/0167286 A1* 7/2008 Gopalakrishnan et al. ........................ 514,21016 (71) Applicants: CHROMOCELL CORPORATION, 2010/01298.33 A1* 5/2010 Brune et al. ................. 435/721 North Brunswick, NJ (US); KRAFT FOODS GROUP BRANDS LLC, FOREIGN PATENT DOCUMENTS Northfield, IL (US) CN 1341632 A 3, 2002 CN 101583717 A 11, 2009 (72) Inventors: Kambiz Shekdar, New York, NY (US); CN 101828.111 A 9, 2010 Purvi Manoj Shah, Bridgewater, NJ WO WO-0038536 A2 7, 2000 WO WO-2004O29087 4/2004 (US); Joseph Gunnet, Flemington, NJ WO WO-2006053771 A2 5, 2006 (US); Jane V. Leland, Wilmette, IL WO WO-2007002026 A2 1/2007 (US); Peter H. Brown, Glenview, IL WO WO-2008057470 5, 2008 (US); Louise Slade, Morris Plains, NJ WO WO-2008119.195 A1 10, 2008 (US) WO WO-20081191.96 10, 2008 WO WO-20081191.97 10, 2008 (73) Assignees: Chromocell Corporation, North W WSi. A2 1929 Brunswick, NJ (US); Kraft Foods WO WO-2010O886.33 8, 2010 Group Brands LLC, Northfield, IL WO WO-2010O99983 A1 9, 2010 (US) WO WO-2013022947 2, 2013 (*) Notice: Subject to any disclaimer, the term of this OTHER PUBLICATIONS patent is extended or adjusted under 35 U.S.C. 154(b) by 0 days. Bachmanov et al., Taste Receptor Genes, 2007, 27:389-414.* Behrens et al., Structural Requirements for Bitter Taste Receptor (21) Appl. -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
Multi-Functionality of Proteins Involved in GPCR and G Protein Signaling: Making Sense of Structure–Function Continuum with In
Cellular and Molecular Life Sciences (2019) 76:4461–4492 https://doi.org/10.1007/s00018-019-03276-1 Cellular andMolecular Life Sciences REVIEW Multi‑functionality of proteins involved in GPCR and G protein signaling: making sense of structure–function continuum with intrinsic disorder‑based proteoforms Alexander V. Fonin1 · April L. Darling2 · Irina M. Kuznetsova1 · Konstantin K. Turoverov1,3 · Vladimir N. Uversky2,4 Received: 5 August 2019 / Revised: 5 August 2019 / Accepted: 12 August 2019 / Published online: 19 August 2019 © Springer Nature Switzerland AG 2019 Abstract GPCR–G protein signaling system recognizes a multitude of extracellular ligands and triggers a variety of intracellular signal- ing cascades in response. In humans, this system includes more than 800 various GPCRs and a large set of heterotrimeric G proteins. Complexity of this system goes far beyond a multitude of pair-wise ligand–GPCR and GPCR–G protein interactions. In fact, one GPCR can recognize more than one extracellular signal and interact with more than one G protein. Furthermore, one ligand can activate more than one GPCR, and multiple GPCRs can couple to the same G protein. This defnes an intricate multifunctionality of this important signaling system. Here, we show that the multifunctionality of GPCR–G protein system represents an illustrative example of the protein structure–function continuum, where structures of the involved proteins represent a complex mosaic of diferently folded regions (foldons, non-foldons, unfoldons, semi-foldons, and inducible foldons). The functionality of resulting highly dynamic conformational ensembles is fne-tuned by various post-translational modifcations and alternative splicing, and such ensembles can undergo dramatic changes at interaction with their specifc partners. -
G Protein‐Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: G protein-coupled receptors. British Journal of Pharmacology (2019) 176, S21–S141 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein-coupled receptors Stephen PH Alexander1 , Arthur Christopoulos2 , Anthony P Davenport3 , Eamonn Kelly4, Alistair Mathie5 , John A Peters6 , Emma L Veale5 ,JaneFArmstrong7 , Elena Faccenda7 ,SimonDHarding7 ,AdamJPawson7 , Joanna L Sharman7 , Christopher Southan7 , Jamie A Davies7 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria 3052, Australia 3Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK 4School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 5Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 6Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 7Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. -
Bivariate Genome-Wide Association Analysis Strengthens the Role of Bitter Receptor Clusters on Chromosomes 7 and 12 in Human Bitter Taste
bioRxiv preprint doi: https://doi.org/10.1101/296269; this version posted April 6, 2018. 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. Bivariate genome-wide association analysis strengthens the role of bitter receptor clusters on chromosomes 7 and 12 in human bitter taste Liang-Dar Hwang1,2,3,4, Puya Gharahkhani1, Paul A. S. Breslin5,6, Scott D. Gordon1, Gu Zhu1, Nicholas G. Martin1, Danielle R. Reed5, and Margaret J. Wright2,7 1 QIMR Berghofer Medical Research Institute, Herston, Queensland 4006, Australia 2 Queensland Brain Institute, University of Queensland, St Lucia, Queensland 4072, Australia 3 Faculty of Medicine, University of Queensland, Herston, Queensland 4006, Australia 4 University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Woolloongabba, Queensland 4102, Australia 5 Monell Chemical Senses Center, Philadelphia, Pennsylvania 19104, USA 6 Department of Nutritional Sciences, School of Environmental and Biological Sciences, Rutgers University, New Brunswick NJ, 08901 USA 7 Centre for Advanced Imaging, University of Queensland, St Lucia, Queensland 4072, Australia Correspondence to be sent to: Liang-Dar Hwang University of Queensland Diamantina Institute Wolloongabba QLD 4102, Australia Email: [email protected] Telephone: +61 7 3443 7976 Fax: +61 7 3443 6966 1 bioRxiv preprint doi: https://doi.org/10.1101/296269; this version posted April 6, 2018. 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. -
Prostaglandin E2 As Mediator and Modulator of Airway Smooth Muscle Responses
Institute of Environmental Medicine Division of Physiology The Unit for Experimental Asthma and Allergy Research Karolinska Institutet, Stockholm, Sweden PROSTAGLANDIN E2 AS MEDIATOR AND MODULATOR OF AIRWAY SMOOTH MUSCLE RESPONSES Jesper Säfholm Stockholm 2013 All published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by Repro Print AB © Jesper Säfholm, 2013 ISBN 978-91-7549-167-7 Printed by 2013 Gårdsvägen 4, 169 70 Solna To boldly go where a lot of people have gone before ABSTRACT Prostaglandin E2 (PGE2) is a lipid mediator produced by virtually every cell of the human body. Because common non-steroidal anti-inflammatory drugs (NSAIDs) inhibit its biosynthesis, PGE2 is usually considered to be a ‘pro-inflammatory’ mediator. The role of PGE2 in the lung and airways has however always been unclear. In particular, the airway responses caused by activation of its four different EP receptors have been debated. Research on the mechanisms involved in the actions of PGE2 has previously been limited by the low potency and selectivity of available pharmacological tools. Recently, a number of potent receptor antagonists and enzyme inhibitors have become available. The aim of this thesis was therefore to characterise airway responses to PGE2 in greater detail, focusing on the role of its receptors on baseline smooth muscle function and during antigen-induced contractions. Alongside investigating PGE2 responses, the newly discovered relaxant effects of bitter tasting substances acting at their respective receptors (TAS2Rs) were examined. The project mainly involved analysis of isometric contractions and relaxations in isolated airways from guinea pigs and humans in organ baths. -
Transcriptome Analysis Reveals Upregulation of Bitter Taste Receptors in Severe Asthmatics
ORIGINAL ARTICLE ASTHMA Transcriptome analysis reveals upregulation of bitter taste receptors in severe asthmatics Christina Orsmark-Pietras1,2, Anna James2,3, Jon R. Konradsen2,4,5, Bjo¨rn Nordlund2,4,5, Cilla So¨derha¨ll1,2, Ville Pulkkinen2,3,6,7, Christophe Pedroletti2,5, Kameran Daham2,8,9, Maciek Kupczyk2,3, Barbro Dahle´n2,8,9, Juha Kere1,2,10, Sven-Erik Dahle´n2,3, Gunilla Hedlin2,4,5,11 and Erik Mele´n2,3,4,11 Affiliations: 1Dept of Biosciences and Nutrition at Novum, Karolinska Institute, Stockholm, 2The Centre for Allergy Research at Karolinska Institute, Stockholm, 3Institute of Environmental Medicine, Karolinska Institute, Stockholm, 4Astrid Lindgren Children’s Hospital, Karolinska University Hospital, Stockholm, 5Dept of Women’s and Children’s Health, Karolinska Institute, Stockholm, 8Lung/Allergy Clinic, Karolinska University Hospital Huddinge, Stockholm, 9Dept of Internal Medicine, Karolinska University Hospital Huddinge, Stockholm, and 10Science for Life Laboratory, Karolinska Institute, Stockholm, Sweden. 6Dept of Medical Genetics, Biomedicum Helsinki, University of Helsinki, Helsinki, and 7Folkha¨lsan Institute of Genetics, Helsinki, Finland. 11Both authors contributed equally. Correspondence: S-E. Dahle´n, The National Institute of Environmental Medicine, Karolinska Institutet, SE- 17177 Stockholm, Sweden. E-mail: [email protected] ABSTRACT The causes of severe childhood asthma are poorly understood. Our aim was to define global patterns of gene expression in children with severe therapy-resistant and controlled asthma. White blood cells were isolated and the global transcriptome profile was characterised using the Affymetrix Human Gene ST 1.0 chip in children with severe, therapy-resistant asthma (n517), controlled asthma (n519) and healthy controls (n518).