Transcriptome Atlas of Eight Liver Cell Types Uncovers Effects of Histidine

Total Page:16

File Type:pdf, Size:1020Kb

Transcriptome Atlas of Eight Liver Cell Types Uncovers Effects of Histidine c Indian Academy of Sciences RESEARCH ARTICLE Transcriptome atlas of eight liver cell types uncovers effects of histidine catabolites on rat liver regeneration C. F. CHANG1,2,J.Y.FAN2, F. C. ZHANG1,J.MA1 and C. S. XU2,3∗ 1College of Life Science and Technology, Xinjiang University, 14# Shengli Road, Urumqi 830046, Xinjiang, People’s Republic of China 2Key Laboratory for Cell Differentiation Regulation, 3College of Life Science, Henan Normal University, 46# East of Construction Road, Xinxiang 453007, People’s Republic of China Abstract Eight liver cell types were isolated using the methods of Percoll density gradient centrifugation and immunomagnetic beads to explore effects of histidine catabolites on rat liver regeneration. Rat Genome 230 2.0 Array was used to detect the expression profiles of genes associated with metabolism of histidine and its catabolites for the above-mentioned eight liver cell types, and bioinformatic and systems biology approaches were employed to analyse the relationship between above genes and rat liver regeneration. The results showed that the urocanic acid (UA) was degraded from histidine in Kupffer cells, acts on Kupffer cells itself and dendritic cells to generate immune suppression by autocrine and paracrine modes. Hepatocytes, biliary epithelia cells, oval cells and dendritic cells can convert histidine to histamine, which can promote sinusoidal endothelial cells proliferation by GsM pathway, and promote the proliferation of hepatocytes and biliary epithelia cells by GqM pathway. [Chang C. F., Fan J. Y., Zhang F. C., Ma J. and Xu C. S. 2010 Transcriptome atlas of eight liver cell types uncovers effects of histidine catabolites on rat liver regeneration. J. Genet. 89, 425–436] Introduction histidine is either broken down into urocanic acid (UA) by histidine ammonia lyase (HAL) or decarboxylated into Liver has an unusual property of regeneration (Taub 2004). histamine (HA) by histidine decarboxylase (HDC) (Cook Partial hepatectomy (PH), a model that most clearly demon- 2001). Recent researches indicate that urocanic acid secreted strates the regenerative capacity of the liver, was first by autocrine or paracrine systems can reduce antigen present- described by Higgins and Anderson (1931). Liver regen- ing capacity of immune cells, leading to immune suppres- eration (LR) involves metabolic activities of a large num- sion (Walterscheid et al. 2006). Histamine, another degra- ber of proteins whose components of amino acids take dation product of histidine, can regulate cell proliferation part in anabolism and catabolism (Bucher 1963; Steer depending on its four receptor proteins, histamine receptor 1995). Studies have shown that histidine and its catabolites H 1, 2, 3 and 4 (HRH1, HRH2, HRH3 and HRH4) and have important physiological activities (Wu 2009), there- small G protein-coupled signalling pathways. Briefly, once fore this study is concentrated on the relevance between his- HRH1 binds to guanine nucleotide binding protein alpha q tidine metabolism and liver regeneration. Biosynthesis of polypeptide (GNAQ), glycosylphosphatidylinositol specific histidine consists of three steps: first, phosphoribosyl py- phosphorlipase C (PLC) is activated and catalyses the break- rophosphate synthetase 2 (PRPS2) catalyses ATP and down of phosphatidylinositol 4,5-bisphosphate (PIP2) into D-ribose 5-phosphate to 5-phosphoribosyl-1-pyrophosphate; inositol 1,4,5-triphosphate (IP3) and diacylglycerol (DG). second, 5-phosphoribosyl-1-pyrophosphate receives α-ami- Further, IP3 promotes the release of Ca2+ from endoplas- no group of glutamine which is catalysed by phosphori- mic reticulum into plasma by binding it with its type-1 IP3 bosyl pyrophosphate aminotransferase (PPAT) to form his- receptor, which was anchored in the membrane of endo- tidine (Ishijima et al. 1991; Brayton et al. 1994); third, plasmic reticulum. The released Ca2+ promotes cell prolif- eration via the following signal transduction pathway Ca2+ *For correspondence. E-mail: [email protected]. RasGRF/RasGRP → Ras Raf1 → Map2k1/Map2k2 → Keywords. liver regeneration; rat genome 230 2.0 Array; histidine; histamine; urocanic acid. Journal of Genetics, Vol. 89, No. 4, December 2010 425 C. F. Chang et al. Mapk1/Mapk3 → Elk1/Myc → Srf → Fos DNA synthesis fied hepatocytes (HCs) and nonparenchymal cells-enriched (GqM pathway for short). When HRH2 binds to GNAO, supernatant fractions, respectively (Vondran et al. 2008) and. adenylate cyclase (AC) is activated to catalyse ATP to cAMP. The supernatant was mixed with equal volume of PBS, and The resulting cAMP acts as a second messenger by interact- centrifuged at 400 g for 2 × 2minat4◦C. The mixed non- ing with protein kinase and regulating other proteins to posi- parenchymal cells-rich pellet collected was adjusted to a con- tively regulate cell proliferation via ‘cAMP → PKA → Rap1 centration of 1×108 cells/mL with PBS, and mixed with 10 → Raf1 → Map2k1/Map2k2 → Mapk1/Mapk3 → Elk1/Myc μL/mL of rat anti-THY1, -GFAP, -CK31, -CD68, CD161a, → Srf → Fos → DNA synthesis’ (GsM pathway for short). -CD11c PE-antibodies, respectively. Oval cells (OCs), hep- However, HRH3 or HRH4 can block the GsM pathway and atic stellate cells (HSCs), sinusoidal endothelial cells (SECs), inhibit cell proliferation via binding to GNAO/I and repress Kupffers cells (KCs), pit cells (PCs) and dendritic cells (DCs) adenylyl cyclase activity (Demorrow et al. 2007; Huang and were picked up as previously described (Grisham 1983). On Thurmond 2008). The activities of all genes involved in the the other hand, white intrahepatic bile duct fractions left on metabolism of histidine and its derivatives are described in the nylon netting were added to the digestive solution con- detail in eight liver cell types during liver regeneration by taining 0.25% trypsin and 0.05% collagenase IV, incubated the Rat Genome 230 2.0 Array and real-time PCR (Xu and at 37◦C for 50 min, and filtered through the 200-well nylon Chang 2008), and relationships between these gene profiles netting. The filtered solution was centrifuged at 300 g for and liver regeneration were comprehensively analysed. 5 min. The resulting sediment was the pellet enriched with biliary epithelial cells (BECs) (Blair et al. 1995). The biliary Materials and methods epithelial cells were isolated with rat anti-CK19 PE-antibody 2/3 hepatectomy in rat and liver regeneration as previously described. Finally, anti-ALB and G6P, CK18 and GGT1, OC2 and OV6, CD14 and ET-1, LYZ and ED2, A total of 114 cleaning-grade Sprague-Dawley rats, weight- DES and VIM, CD8 and CD56, CD86 and CD103 antibodies ing 230 ± 20 g provided by the Animal Center of Henan Nor- were used to identify HCs, BECs, OCs, HSCs, SECs, KCs, mal University, were randomly divided into nine partial hep- PCs and DCs as previously described. atectomy (PH) groups, nine operation control groups, and one normal control (NC) group, with six rats in each group Rat Genome 230 2.0 microarray detection (male:female = 1:1). Rats in PH groups underwent opera- Total RNA was isolated from frozen livers with Trizol tion for removal of 70% of their liver as previously described reagent (Invitrogen, Carlsbad, USA) following manufac- (Higgins and Anderson 1931). Briefly, the left and median turer’s instructions and purified following the RNeasy mini lateral liver lobes were surgically removed and the animals protocol (Qiagen, Valencia, USA) (Norton 1992). The qual- were sacrificed at 0, 2, 6, 12, 24, 30, 36, 72, 120 and 168 h ity of total RNA samples was assessed by measuring the after PH, respectively. Rats in the operation control groups optical density at 260/280 nm and agarose electrophore- were treated as same as PH groups, except that their liver sis (Scott 1995). As a template, 5 μg of total RNA was lobes were all retained. The laws of Animal Protection of P. used to synthesize the first strand of cDNA using Super- R. China were strictly implemented. Script II RT (Invitrogen, Carlsbad, USA), and T7-oligo dT(24) (W. M. Keck Foundation, New Haven, USA) as Isolation and identification of eight liver cell types the primer. Second strand synthesis was performed with Rats were subjected to abdominal skin disinfection with alco- the Affymetrix cDNA single-stranded cDNA synthesis kit hol after anaesthetized by inhaling diethyl ether. The abdom- (Affymetrix, Santa Clara, USA). The cDNA product was pu- inal cavity was opened to expose the liver, and superior and rified following the cDNA purify protocol (Xiao et al. 2008). inferior vena cava was ligated followed by portal vein can- Purified cDNA, 12 μL, subsequently served as a template for nulation. Conventional two-step perfusion method was used the production of biotin labelled cRNA transcript using the to separate liver cells. Namely, the liver was perfused with GeneChip in vitro transcript labelling kit (ENZO Biochem- calcium-free perfusate preheated at 37◦C until it turned grey, ical, New York, USA). The labelled cRNA was purified us- then with a 15 mL 0.05% collagenase IV solution instead of ing the RNeasy Mini Kit columns (Qiagen, Valencia, USA) perfusate at a flow rate of 1 mL/min. After liver capsule was (Kube et al. 2007). The concentration, purity and quality of removed, the perfused liver was cut into small pieces and di- cDNA and cRNA were assessed as above. cRNA (1 μg/μL), gested with 0.05% collagenase IV for 15 min at 37◦C. After 15 μL was incubated with 6 μL5× fragmentation buffers and filtering through the 200-well nylon netting, the liquid was 9 μL RNase free water for 35 min at 94◦C, and digested to centrifuged at 500 g for 3 min. Pellet at the bottom was col- 35–200-bp cRNA fragments. The prehybridized Rat Genome lected and washed three times in a 4◦CPBSbuffer to adjust 230 2.0 microarray was placed into a hybridization buffer the cell concentration to 1×108 cells/mL. Mixed cell suspen- prepared following the Affymetrix protocol, and hybridized sion (6 mL) was spread onto the surface of 4 mL 60% Percoll in a rotating chamber (60 rpm; 16 h; 45◦C).
Recommended publications
  • Supplemental Table S1
    Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1
    [Show full text]
  • Hras Intracellular Trafficking and Signal Transduction Jodi Ho-Jung Mckay Iowa State University
    Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 2007 HRas intracellular trafficking and signal transduction Jodi Ho-Jung McKay Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Biological Phenomena, Cell Phenomena, and Immunity Commons, Cancer Biology Commons, Cell Biology Commons, Genetics and Genomics Commons, and the Medical Cell Biology Commons Recommended Citation McKay, Jodi Ho-Jung, "HRas intracellular trafficking and signal transduction" (2007). Retrospective Theses and Dissertations. 13946. https://lib.dr.iastate.edu/rtd/13946 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. HRas intracellular trafficking and signal transduction by Jodi Ho-Jung McKay A dissertation submitted to the graduate faculty in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Major: Genetics Program of Study Committee: Janice E. Buss, Co-major Professor Linda Ambrosio, Co-major Professor Diane Bassham Drena Dobbs Ted Huiatt Iowa State University Ames, Iowa 2007 Copyright © Jodi Ho-Jung McKay, 2007. All rights reserved. UMI Number: 3274881 Copyright 2007 by McKay, Jodi Ho-Jung All rights reserved. UMI Microform 3274881 Copyright 2008 by ProQuest Information and Learning Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest Information and Learning Company 300 North Zeeb Road P.O.
    [Show full text]
  • Myopia Genetics Report
    Special Issue IMI – Myopia Genetics Report Milly S. Tedja,1,2 Annechien E. G. Haarman,1,2 Magda A. Meester-Smoor,1,2 Jaakko Kaprio,3,4 David A. Mackey,5–7 Jeremy A. Guggenheim,8 Christopher J. Hammond,9 Virginie J. M. Verhoeven,1,2,10 and Caroline C. W. Klaver1,2,11; for the CREAM Consortium 1Department of Ophthalmology, Erasmus Medical Center, Rotterdam, the Netherlands 2Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands 3Institute for Molecular Medicine, University of Helsinki, Helsinki, Finland 4Department of Public Health, University of Helsinki, Helsinki, Finland 5Centre for Eye Research Australia, Ophthalmology, Department of Surgery, University of Melbourne, Royal Victorian Eye and Ear Hospital, Melbourne, Victoria, Australia 6Department of Ophthalmology, Menzies Institute of Medical Research, University of Tasmania, Hobart, Tasmania, Australia 7Centre for Ophthalmology and Visual Science, Lions Eye Institute, University of Western Australia, Perth, Western Australia, Australia 8School of Optometry and Vision Sciences, Cardiff University, Cardiff, United Kingdom 9Section of Academic Ophthalmology, School of Life Course Sciences, King’s College London, London, United Kingdom 10Department of Clinical Genetics, Erasmus Medical Center, Rotterdam, the Netherlands 11Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands Correspondence: Caroline C. W. The knowledge on the genetic background of refractive error and myopia has expanded Klaver, Erasmus Medical Center, dramatically in the past few years. This white paper aims to provide a concise summary of Room Na-2808, P.O. Box 2040, 3000 current genetic findings and defines the direction where development is needed. CA, Rotterdam, the Netherlands; [email protected]. We performed an extensive literature search and conducted informal discussions with key MST and AEGH contributed equally to stakeholders.
    [Show full text]
  • Genome-Wide Association and Transcriptome Studies Identify Candidate Genes and Pathways for Feed Conversion Ratio in Pigs
    Miao et al. BMC Genomics (2021) 22:294 https://doi.org/10.1186/s12864-021-07570-w RESEARCH ARTICLE Open Access Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs Yuanxin Miao1,2,3, Quanshun Mei1,2, Chuanke Fu1,2, Mingxing Liao1,2,4, Yan Liu1,2, Xuewen Xu1,2, Xinyun Li1,2, Shuhong Zhao1,2 and Tao Xiang1,2* Abstract Background: The feed conversion ratio (FCR) is an important productive trait that greatly affects profits in the pig industry. Elucidating the genetic mechanisms underpinning FCR may promote more efficient improvement of FCR through artificial selection. In this study, we integrated a genome-wide association study (GWAS) with transcriptome analyses of different tissues in Yorkshire pigs (YY) with the aim of identifying key genes and signalling pathways associated with FCR. Results: A total of 61 significant single nucleotide polymorphisms (SNPs) were detected by GWAS in YY. All of these SNPs were located on porcine chromosome (SSC) 5, and the covered region was considered a quantitative trait locus (QTL) region for FCR. Some genes distributed around these significant SNPs were considered as candidates for regulating FCR, including TPH2, FAR2, IRAK3, YARS2, GRIP1, FRS2, CNOT2 and TRHDE. According to transcriptome analyses in the hypothalamus, TPH2 exhibits the potential to regulate intestinal motility through serotonergic synapse and oxytocin signalling pathways. In addition, GRIP1 may be involved in glutamatergic and GABAergic signalling pathways, which regulate FCR by affecting appetite in pigs. Moreover, GRIP1, FRS2, CNOT2,andTRHDE may regulate metabolism in various tissues through a thyroid hormone signalling pathway.
    [Show full text]
  • Gene and Pathway-Based Second-Wave Analysis of Genome-Wide Association Studies
    European Journal of Human Genetics (2010) 18, 111–117 & 2010 Macmillan Publishers Limited All rights reserved 1018-4813/10 $32.00 www.nature.com/ejhg ARTICLE Gene and pathway-based second-wave analysis of genome-wide association studies Gang Peng1, Li Luo2, Hoicheong Siu1, Yun Zhu1, Pengfei Hu1, Shengjun Hong1, Jinying Zhao3, Xiaodong Zhou4, John D Reveille4, Li Jin1, Christopher I Amos5 and Momiao Xiong*,2 Despite the great success of genome-wide association studies (GWAS) in identification of the common genetic variants associated with complex diseases, the current GWAS have focused on single-SNP analysis. However, single-SNP analysis often identifies only a few of the most significant SNPs that account for a small proportion of the genetic variants and offers only a limited understanding of complex diseases. To overcome these limitations, we propose gene and pathway-based association analysis as a new paradigm for GWAS. As a proof of concept, we performed a comprehensive gene and pathway-based association analysis of 13 published GWAS. Our results showed that the proposed new paradigm for GWAS not only identified the genes that include significant SNPs found by single-SNP analysis, but also detected new genes in which each single SNP conferred a small disease risk; however, their joint actions were implicated in the development of diseases. The results also showed that the new paradigm for GWAS was able to identify biologically meaningful pathways associated with the diseases, which were confirmed by a gene-set-rich analysis using gene expression
    [Show full text]
  • 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
    [Show full text]
  • Identification of HRAS Mutations and Absence of GNAQ Or GNA11
    Modern Pathology (2013) 26, 1320–1328 1320 & 2013 USCAP, Inc All rights reserved 0893-3952/13 $32.00 Identification of HRAS mutations and absence of GNAQ or GNA11 mutations in deep penetrating nevi Ryan P Bender1, Matthew J McGinniss2, Paula Esmay1, Elsa F Velazquez3,4 and Julie DR Reimann3,4 1Caris Life Sciences, Phoenix, AZ, USA; 2Genoptix Medical Laboratory, Carlsbad, CA, USA; 3Dermatopathology Division, Miraca Life Sciences Research Institute, Newton, MA, USA and 4Department of Dermatology, Tufts Medical Center, Boston, MA, USA HRAS is mutated in B15% of Spitz nevi, and GNAQ or GNA11 is mutated in blue nevi (46–83% and B7% respectively). Epithelioid blue nevi and deep penetrating nevi show features of both blue nevi (intradermal location, pigmentation) and Spitz nevi (epithelioid morphology). Epithelioid blue nevi and deep penetrating nevi can also show overlapping features with melanoma, posing a diagnostic challenge. Although epithelioid blue nevi are considered blue nevic variants, no GNAQ or GNA11 mutations have been reported. Classification of deep penetrating nevi as blue nevic variants has also been proposed, however, no GNAQ or GNA11 mutations have been reported and none have been tested for HRAS mutations. To better characterize these tumors, we performed mutational analysis for GNAQ, GNA11, and HRAS, with blue nevi and Spitz nevi as controls. Within deep penetrating nevi, none demonstrated GNAQ or GNA11 mutations (0/38). However, 6% revealed HRAS mutation (2/32). Twenty percent of epithelioid blue nevi contained a GNAQ mutation (2/10), while none displayed GNA11 or HRAS mutation. Eighty-seven percent of blue nevi contained a GNAQ mutation (26/30), 4% a GNA11 mutation (1/28), and none an HRAS mutation.
    [Show full text]
  • Prevalence of Mutations in TSHR, GNAS, PRKAR1A and RAS Genes
    European Journal of Endocrinology (2008) 159 623–631 ISSN 0804-4643 CLINICAL STUDY Prevalence of mutations in TSHR, GNAS, PRKAR1A and RAS genes in a large series of toxic thyroid adenomas from Galicia, an iodine-deficient area in NW Spain F Palos-Paz1, O Perez-Guerra1, J Cameselle-Teijeiro3,CRueda-Chimeno5, F Barreiro-Morandeira4, J Lado-Abeal1,2 and the Galician Group for the Study of Toxic Multinodular Goitre: D Araujo Vilar1,2, R Argueso7, O Barca1, MBotana7, J M Cabezas-Agrı´cola2, P Catalina6, L Dominguez Gerpe1, T Fernandez9, A Mato8, A Nun˜o11,MPenin10 and B Victoria1 1Unidade de Enfermedades Tiroideas e Metabo´licas (UETeM), 2Endocrinology Section, Department of Medicine, 3Pathology Department and 4Surgery Department, Complexo Hospitalario Universitary de Santiago (CHUS), University of Santiago de Compostela, Santiago de Compostela, 15705, Spain, 5General Surgery Section and 6Endocrinology Section, Complexo Hospitalario de Pontevedra, Pontevedra, Spain, 7Endocrinology Section, Complexo Hospitalario Xeral-Calde, Lugo, Spain, 8Endocrinology Section, Complexo Hospitalario de Ourense, Ourense, Spain, 9Endocrinology Section, Complexo Hospitalario Universitario Juan-Canalejo, A Corun˜a, Spain, 10Endocrinology Section, Hospital Arquitecto Marcide, Ferrol, Spain and 11General Surgery Section, Hospital do Meixoeiro, Complexo Hospitalario Universitario de Vigo, Vigo, Spain (Correspondence should be addressed to J Lado-Abeal who is now at UETeM, Department of Medicine, School of Medicine, University of Santiago de Compostela, C/San Francisco sn 15705, Santiago de Compostela, Spain; Email: [email protected]) Abstract Objective: Toxic thyroid adenoma (TA) is a common cause of hyperthyroidism. Mutations in the TSH receptor (TSHR) gene, and less frequently in the adenylate cyclase-stimulating G alpha protein (GNAS) gene, are well established causes of TA in Europe.
    [Show full text]
  • Mosaic Activating Mutations in GNA11 and GNAQ Are Associated with Phakomatosis Pigmentovascularis and Extensive Dermal Melanocytosis Anna C
    ORIGINAL ARTICLE Mosaic Activating Mutations in GNA11 and GNAQ Are Associated with Phakomatosis Pigmentovascularis and Extensive Dermal Melanocytosis Anna C. Thomas1,18, Zhiqiang Zeng2,18, Jean-Baptiste Rivie`re3,18, Ryan O’Shaughnessy4, Lara Al-Olabi1, Judith St.-Onge3, David J. Atherton5,He´le`ne Aubert6, Lorea Bagazgoitia7, Se´bastien Barbarot6, Emmanuelle Bourrat8,9, Christine Chiaverini10, W. Kling Chong11, Yannis Duffourd3, Mary Glover5, Leopold Groesser12, Smail Hadj-Rabia13, Henning Hamm14, Rudolf Happle15, Imran Mushtaq16, Jean-Philippe Lacour10, Regula Waelchli5, Marion Wobser14, Pierre Vabres3,17,19, E. Elizabeth Patton2,19 and Veronica A. Kinsler1,5,19 Common birthmarks can be an indicator of underlying genetic disease but are often overlooked. Mongolian blue spots (dermal melanocytosis) are usually localized and transient, but they can be extensive, permanent, and associated with extracutaneous abnormalities. Co-occurrence with vascular birthmarks defines a subtype of phakomatosis pigmentovascularis, a group of syndromes associated with neurovascular, ophthalmological, overgrowth, and malignant complications. Here, we discover that extensive dermal melanocytosis and pha- komatosis pigmentovascularis are associated with activating mutations in GNA11 and GNAQ, genes that encode Ga subunits of heterotrimeric G proteins. The mutations were detected at very low levels in affected tissues but were undetectable in the blood, indicating that these conditions are postzygotic mosaic disorders. R183C Q209L In vitro expression of mutant GNA11 and GNA11 in human cell lines demonstrated activation of the downstream p38 MAPK signaling pathway and the p38, JNK, and ERK pathways, respectively. Transgenic R183C mosaic zebrafish models expressing mutant GNA11 under promoter mitfa developed extensive dermal melanocytosis recapitulating the human phenotype. Phakomatosis pigmentovascularis and extensive dermal melanocytosis are therefore diagnoses in the group of mosaic heterotrimeric G-protein disorders, joining McCune-Albright and Sturge-Weber syndromes.
    [Show full text]
  • Investigating the Mechanism of Hepatocellular Carcinoma Progression by Constructing Genetic and Epigenetic Networks Using NGS Data Identification and Big Database Mining Method
    www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 48 Research Paper Investigating the mechanism of hepatocellular carcinoma progression by constructing genetic and epigenetic networks using NGS data identification and big database mining method Cheng-Wei Li1, Ping-Yao Chang1, Bor-Sen Chen1 1Laboratory of Control and Systems Biology, National Tsing Hua University, Hsinchu, Taiwan Correspondence to: Bor-Sen Chen, email: [email protected] Keywords: DNA methylation, multiple potential drugs, hepatocarcinogenesis, miRNAs, principal network projection Received: February 19, 2016 Accepted: October 26, 2016 Published: November 04, 2016 ABSTRACT The mechanisms leading to the development and progression of hepatocellular carcinoma (HCC) are complicated and regulated genetically and epigenetically. The recent advancement in high-throughput sequencing has facilitated investigations into the role of genetic and epigenetic regulations in hepatocarcinogenesis. Therefore, we used systems biology and big database mining to construct genetic and epigenetic networks (GENs) using the information about mRNA, miRNA, and methylation profiles of HCC patients. Our approach involves analyzing gene regulatory networks (GRNs), protein-protein networks (PPINs), and epigenetic networks at different stages of hepatocarcinogenesis. The core GENs, influencing each stage of HCC, were extracted via principal network projection (PNP). The pathways during different stages of HCC were compared. We observed that extracellular signals were further transduced to
    [Show full text]
  • Supplementary Table 2
    Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942
    [Show full text]
  • (Adcy4) in Y1 ADRENOCORTICAL TUMOR CELLS
    TRANSCRIPTIONAL REGULATION OF THE MOUSE ADENYLYL CYCLASE TYPE 4 (Adcy4) IN Y1 ADRENOCORTICAL TUMOR CELLS By Xianliang Rui A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Department of Pharmacology and Toxicology University of Toronto © Copyright by Xianliang Rui 2010 Library and Archives Bibliothèque et Canada Archives Canada Published Heritage Direction du Branch Patrimoine de l’édition 395 Wellington Street 395, rue Wellington Ottawa ON K1A 0N4 Ottawa ON K1A 0N4 Canada Canada Your file Votre référence ISBN: 978-0-494-67725-4 Our file Notre référence ISBN: 978-0-494-67725-4 NOTICE: AVIS: The author has granted a non- L’auteur a accordé une licence non exclusive exclusive license allowing Library and permettant à la Bibliothèque et Archives Archives Canada to reproduce, Canada de reproduire, publier, archiver, publish, archive, preserve, conserve, sauvegarder, conserver, transmettre au public communicate to the public by par télécommunication ou par l’Internet, prêter, telecommunication or on the Internet, distribuer et vendre des thèses partout dans le loan, distribute and sell theses monde, à des fins commerciales ou autres, sur worldwide, for commercial or non- support microforme, papier, électronique et/ou commercial purposes, in microform, autres formats. paper, electronic and/or any other formats. The author retains copyright L’auteur conserve la propriété du droit d’auteur ownership and moral rights in this et des droits moraux qui protège cette thèse. Ni thesis. Neither the thesis nor la thèse ni des extraits substantiels de celle-ci substantial extracts from it may be ne doivent être imprimés ou autrement printed or otherwise reproduced reproduits sans son autorisation.
    [Show full text]