TAS2R20 Variants Confer Dietary Adaptation to High-Quercitrin Bamboo Leaves in Qinling Giant Pandas
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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 -
Reyna Alejandra Jiménez Flores
TESIS DOCTORAL Actividad citotóxica del éter-lípido edelfosina en células de cáncer de hígado. Reyna Alejandra Jiménez Flores Director de tesis: Faustino Mollinedo García CENTRO DE INVESTIGACIÓN DEL CÁNCER UNIVERSIDAD DE SALAMANCA – CSIC SALAMANCA 2015 El Dr. Faustino Mollinedo García, Profesor de Investigación del Consejo Superior de Investigaciones Científicas (CSIC) y miembro del Instituto de Biología Molecular y Celular del Cáncer de la Universidad de Salamanca. CERTIFICA: Que la memoria de tesis titulada “Actividad citotoxica del éter‐lípido edelfosina en células de cáncer de hígado” presentado por Dña. Reyna Alejandra Jiménez Flores, ha sido realizada bajo su dirección en el Instituto de Biología Molecular y Celular del Cáncer y reúne, a su juicio, originalidad y contenidos suficientes para que sea presentada ante el tribunal correspondiente y optar al grado de Doctor por la Universidad de Salamanca. Y para que así conste, a efectos legales, expide el presente certificado en Salamanca, a 16 de noviembre de 2015. Dr. Faustino Mollinedo García Director de la tesis A mis padres y a mi hermana A Paula y a David FIDES No te resignes antes de perder definitiva, irrevocablemente La batalla que libras. Lucha erguido y sin contar las enemigas huestes. ¡Mientras veas resquicios de esperanza, no te rindas!. La suerte gusta de acumular los imposibles para vencerlos en conjunto, siempre, con el fatal y misterioso golpe de su masa de Hércules.... ¿Sabes tu si el instante en que, ya fatigado, desesperes, es justo aquel que a la definitiva realización de tu ideal precede?. Quien alienta una fe tenaz, al hado más torvo compromete en su favor. -
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. -
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. -
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. -
Differentially Methylated Genes
10/30/2013 Disclosures Key Rheumatoid Arthritis-Associated Pathogenic Pathways Revealed by Integrative Analysis of RA Omics Datasets Consultant: IGNYTA Funding: Rheumatology Research Foundation By John W. Whitaker, Wei Wang and Gary S. Firestein DNA methylation and gene regulation The RA methylation signature in FLS DNA methylation – DNMT1 (maintaining methylation) OA – DNMT3a, 3b (de novo methylation) RA % of CpG methylation: 0% 100% Nakano et al. 2013 ARD AA06 AANAT AARS ABCA6 ABCC12 ABCG1 ABHD8 ABL2 ABR ABRA ACACA ACAN ACAP3 ACCSL ACN9 ACOT7 ACOX2 ACP5 ACP6 ACPP ACSL1 ACSL3 ACSM5 ACVRL1 ADAM10 ADAM32 ADAM33 ADAMTS12 ADAMTS15 ADAMTS19 ADAMTS4 ADAT3 ADCK4 ADCK5 ADCY2 ADCY3 ADCY6 ADORA1 ADPGK ADPRHL1 ADTRP AFAP1 AFAP1L2 AFF3 AFG3L1P AGAP11 AGER AGTR1 AGXT AIF1L AIM2 AIRE AJUBA AK4 AKAP12 AKAP2 AKR1C2 AKR1E2 AKT2 ALAS1 ALDH1L1-AS1 ALDH3A1 ALDH3B1 ALDH8A1 ALDOB ALDOC ALOX12 ALPK3 ALS2CL ALX4 AMBRA1 AMPD2 AMPD3 ANGPT1 ANGPT2 ANGPTL5 ANGPTL6 ANK1 ANKMY2 ANKRD29 ANKRD37 ANKRD53 ANO3 ANO6 ANO7 ANP32C ANXA6 ANXA8L2 AP1G1 AP2A2 AP2M1 AP5B1 APBA2 APC APCDD1 APOBEC3B APOBEC3G APOC1 APOH APOL6 APOLD1 APOM AQP1 AQP10 AQP6 AQP9 ARAP1 ARHGAP24 ARHGAP42 ARHGEF19 ARHGEF25 ARHGEF3 ARHGEF37 ARHGEF7 ARL4C ARL6IP 5 ARL8B ARMC3 ARNTL2 ARPP21 ARRB1 ARSI ASAH2B ASB10 ASB2 ASCL2 ASIC4 ASPH ATF3 ATF7 ATL1 ATL3 ATP10A ATP1A1 ATP1A4 ATP2C1 ATP5A1 ATP5EP2 ATP5L2 ATP6V0CP3 ATP6V1C1 ATP6V1E2 ATXN7L1 ATXN7L2 AVPI1 AXIN2 B3GNT7 B3GNT8 B3GNTL1 BACH1 BAG3 Differential methylated genes in RA FLS BAIAP2L2 BANP BATF BATF2 BBS2 BCAS4 BCAT1 BCL7C BDKRB2 BEGAIN BEST1 BEST3 -
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). -
The Bitter Taste Receptor Tas2r14 Is Expressed in Ovarian Cancer and Mediates Apoptotic Signalling
THE BITTER TASTE RECEPTOR TAS2R14 IS EXPRESSED IN OVARIAN CANCER AND MEDIATES APOPTOTIC SIGNALLING by Louis T. P. Martin Submitted in partial fulfilment of the requirements for the degree of Master of Science at Dalhousie University Halifax, Nova Scotia June 2017 © Copyright by Louis T. P. Martin, 2017 DEDICATION PAGE To my grandparents, Christina, Frank, Brenda and Bernie, and my parents, Angela and Tom – for teaching me the value of hard work. ii TABLE OF CONTENTS LIST OF TABLES ............................................................................................................. vi LIST OF FIGURES .......................................................................................................... vii ABSTRACT ....................................................................................................................... ix LIST OF ABBREVIATIONS AND SYMBOLS USED .................................................... x ACKNOWLEDGEMENTS .............................................................................................. xii CHAPTER 1 INTRODUCTION ........................................................................................ 1 1.1 G-PROTEIN COUPLED RECEPTORS ................................................................ 1 1.2 GPCR CLASSES .................................................................................................... 4 1.3 GPCR SIGNALING THROUGH G PROTEINS ................................................... 6 1.4 BITTER TASTE RECEPTORS (TAS2RS) ........................................................... -
Activation of Bitter Taste Receptors (Tas2rs) Relaxes Detrusor Smooth Muscle and Suppresses Overactive Bladder Symptoms
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 16 Activation of bitter taste receptors (tas2rs) relaxes detrusor smooth muscle and suppresses overactive bladder symptoms Kui Zhai1,*, Zhiguang Yang1,*, Xiaofei Zhu2,*, Eric Nyirimigabo1, Yue Mi3, Yan Wang4, Qinghua Liu5, Libo Man2, Shiliang Wu3, Jie Jin3 and Guangju Ji1 1 National Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, China 2 Department of Urology, Beijing Jishuitan Hospital, Beijing, China 3 Department of Urology, National Research Center for Genitourinary Oncology, Peking University First Hospital and Institute of Urology, Beijing, China 4 Department of Gastroenterology, Peking University First Hospital, Beijing, China 5 Institute for Medical Biology, College of Life Sciences, South-Central University for Nationalities, Wuhan, China * Those authors have contributed equally to this work Correspondence to: Guangju Ji, email: [email protected] Correspondence to: Jie Jin, email: [email protected] Keywords: bitter taste receptors, chloroquine, detrusor smooth muscle, human, mouse, overactive bladder, Gerotarget Received: March 10, 2016 Accepted: March 20, 2016 Published: April 02, 2016 ABSTRACT Bitter taste receptors (TAS2Rs) are traditionally thought to be expressed exclusively on the taste buds of the tongue. However, accumulating evidence has indicated that this receptor family performs non-gustatory functions outside the mouth in addition to taste. Here, we examined the role of TAS2Rs in human and mouse detrusor smooth muscle (DSM). We showed that mRNA for various TAS2R subtypes was expressed in both human and mouse detrusor smooth muscle (DSM) at distinct levels. Chloroquine (CLQ), an agonist for TAS2Rs, concentration-dependently relaxed carbachol- and KCl-induced contractions of human DSM strips. -
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. -
Supplementary Information
SUPPLEMENTARY INFORMATION 1. SUPPLEMENTARY FIGURE LEGENDS Supplementary Figure 1. Long-term exposure to sorafenib increases the expression of progenitor cell-like features. A) mRNA expression levels of PROM-1 (CD133), THY-1 (CD90), EpCAM, KRT19, and VIM assessed by quantitative real-time PCR. Data represent the mean expression value for a gene in each phenotypic type of cells, displayed as fold-changes normalized to 1 (expression value of its corresponding parental non-treated cell line). Expression level is relative to the GAPDH gene. Bars indicate standard deviation. Significant statistical differences are set at p<0.05. B) Immunocitochemical staining of CD90 and vimentin in Hep3B sorafenib resistant cell line and its parental cell line. C) Western blot analysis comparing protein levels in resistant Hu6 and Hep3B cells vs their corresponding parental cells lines. Supplementary Figure 2. Efficacy of gene silencing of IGF1R and FGFR1 and evaluation of MAPK14 signaling activation. IGF1R and FGFR1 knockdown expression 48h after transient transfection with siRNAs (50 nM), in non-treated parental cells and sorafenib-acquired resistant tumor derived cells was assessed by quantitative RT-PCR (A) and western blot (B). C) Activation status of MAPK14 signaling was evaluated by western blot analysis in vivo, in tumors with acquired resistance to sorafenib in comparison to non-treated tumors (right panel), as well as in in vitro, in sorafenib resistant cell lines vs parental non-treated. Supplementary Figure 3. Gene expression levels of several pro-angiogenic factors. mRNA expression levels of FGF1, FGF2, VEGFA, IL8, ANGPT2, KDR, FGFR3, FGFR4 assessed by quantitative real-time PCR in tumors harvested from mice.