LPIN2 Is Associated with Type 2 Diabetes, Glucose Metabolism and Body Composition

Total Page:16

File Type:pdf, Size:1020Kb

LPIN2 Is Associated with Type 2 Diabetes, Glucose Metabolism and Body Composition Diabetes Publish Ahead of Print, published online September 5, 2007 LPIN2 is associated with type 2 diabetes, glucose metabolism and body composition Yurii S. Aulchenko,1,* Jan Pullen,2 Wigard P. Kloosterman,3 Mojgan Yazdanpanah,1 Albert Hofman,1 Norbert Vaessen,1 Pieter J. L. M. Snijders,1 Dmitry Zubakov,1 Ian Mackay,2,* Mark Olavesen,2 Balbinder Sidhu,2 Vicki E. Smith,2 Alisoun Carey,2 Eugene Berezikov,3 André G. Uittenlinden,4 Ronald H. A. Plasterk,3 Ben A. Oostra1, and Cornelia M. van Duijn1 1Genetic Epidemiology Unit, Department of Epidemiology & Biostatistics, Clinical Genetics, and Forensic Molecular Biology, Erasmus MC Rotterdam, 3000 CA, The Netherlands, 2Oxagen Limited, Abingdon, Oxfordshire, OX14 4RY, United Kingdom, 3Hubrecht Laboratory, Netherlands Institute for Developmental Biology, 3584 CT Utrecht, The Netherlands and 4Department of Internal Medicine, Erasmus MC Rotterdam, 3000 CA, The Netherlands *Present address: National Institute of Agricultural Botany, Cambridge CB3 0LE, UK *To whom correspondence should be addressed: Yurii S. Aulchenko Department of Epidemiology & Biostatistics, Erasmus MC Rotterdam, Postbus 2040, 3000 CA Rotterdam, The Netherlands e-mail: [email protected] Received for publication 11 March 2007 and accepted in revised form 26 August 2007. Additional information for this article can be found in an online appendix at http://diabetes.diabetesjournals.org. Copyright American Diabetes Association, Inc., 2007 ABSTRACT Objective: To identify type 2 diabetes (T2D) gene located at the chromosome 18p11. Research design and methods: We investigated the region in a young genetically isolated population by genotyping 34 single-nucleotide polymorphisms (SNPs) in 78 cases and 101 controls. Two SNPs were selected and followed up in two cohorts. The first cohort came from general Dutch population. In this cohort, association with T2D was investigated using 616 T2D cases and 2890 controls; association with oral glucose tolerance test data was performed in 361 normoglycemic people. Association with fat distribution was studied in the second replication cohort, consisting of 836 people from the genetically isolated population. Results: At the initial step, we found that the common C allele of SNP rs3745012 was associated with T2D (OR=2.01, P=0.03). This SNP is located at 3’ UTR region of LPIN2 gene, which is a plausible candidate for T2D and obesity. In the cohort from the general Dutch population, we demonstrated that rs3745012 interacts with body mass index in determination of T2D: while in subjects with high BMI the common C allele is associated with T2D, the same allele exhibits neutral or protective effect in lean subjects (P=0.05 overall effect, P=0.02 interaction). Most remarkably, rs3745012 strongly affected composite insulin sensitivity index (P=0.006 overall effect, P=0.004 interaction). In the second replication cohort, we found that allele C of rs3745012 increases trunk to legs fat mass ratio (P=0.001) and may affect other fat-related measurements. Conclusions: rs3745012 SNP of the LPIN2 gene is associated with T2D and fat distribution. 2 The majority of type 2 diabetes (T2D) required upstream of PPARG for normal patients are obese and obesity by itself adipocyte differentiation (24). may be a cause of insulin resistance (1;2). We reported a genome-wide scan Not only total fat mass, but also fat using combined association and linkage distribution is an important determinant test in a sample of T2D patients derived of insulin resistance (3;4). Given the from a recently genetically isolated same degree of obesity, insulin sensitivity population from the Southwest of the varies largely depending on visceral Netherlands (25). Evidence for adipose tissue content (5;6). Abdominal association with T2D was found for one obesity measures and visceral fat content region at chromosome 18p11 (P=0.001 at may be better predictors of insulin marker D18S63). The locus at 18p was resistance when compared to body mass originally found to be linked to T2D in index (BMI) (see e.g. (7)). Also families from Finland and Southern abnormally decreased adipose tissue Sweden (26) and was confirmed in a mass, such as observed in lipodystrophy, second series derived from the Southwest leads to severe insulin resistance in of the Netherlands (27). In all three humans (8;9) and animal models (10-13). studies the effect of the 18p region was Several known genes for T2D are strongest in the obese sub-population. also implicated in lipodistrophy. One of the human homologues of Examples include peroxisome mouse Lpin1 gene, LPIN2, is located in proliferator-activated receptor gamma the 18p11 region. In this paper we (PPARG) (14), which plays a critical role examine the association between T2D in the differentiation of preadipocytes to and related traits and LPIN2 gene in three mature fat cells (15). A common 12Pro cohort. polymorphism in this gene is associated with increased risk of T2D in general RESEARCH DESIGN AND population (16;17) and rare deleterious METHODS variants lead to familial partial Study population lipodystrophy (9;18). Another example is Two series of patients and controls were the lamin A gene, which is implicated in studied. The first was derived from a rare Dunnigan-type familial partial young genetically isolated population lipodystrophy (8). This gene also plays a located in the Southwest of the role in T2D and related phenotypes (19- Netherlands. The characteristics of the 22). The LPIN1 gene was recently shown population regarding linkage to be associated with serum insulin levels disequilibrium (LD) and drift are and BMI in a Finnish population (23). described elsewhere (28-30). The original This gene appeared as a possible sample was formed by 79 small families candidate involved in human glucose (117 patients) which could be traced to a metabolism because it is one of the common ancestor within 13 generations. human homologues of mouse Lpin1 gene. The diagnosis of T2D was based on the Fdl mice, in which Lpin1 is deleted, have American Diabetes Association criteria diminished adipose tissue mass and (31). The details of the recruitment multiple pathologies including insulin procedure and analysis are described resistance, fatty liver and progressive elsewhere (25). The study protocol was neuropathy of peripheral nerves (11;13). approved by the medical ethics The protein encoded by Lpin1, Lipin, is committee of the Erasmus Medical 3 Centre, Rotterdam, and written consent 361 normoglycemic people, thus making was obtained from all participants. fasting glucose and insulin and postload In the present study, we used 78 glucose and insulin at 30 and 120 minutes patients, who were probands in our available. previous research, and were not or To study body fat distribution, we remotely (>10 meioses) related. The used data on 836 diabetes-free unrelated spouses of the T2D patients, individuals from the family-based together with the spouses of patients from Erasmus Rucphen Family (ERF) study. other ongoing studies, were used as The study protocol was approved by the controls (N=101). This schema justifies medical ethics board of Erasmus MC the use of the sample as independent Rotterdam. ERF consist of approximately cases and controls. 3,000 people, who are descendants of 22 There was no significant couples living in the second half of the differences in sex ratio or age between 19th century. patients and controls was observed (P>0.1). The BMI was significantly Measurements higher in patients (30.21) than in controls In the Rotterdam study, at baseline (27.53, P=0.03). examination, information concerning The second series was derived health status, and drug use was obtained from the Rotterdam Study. This is a large using a computerized questionnaire. cohort from outbred population, which is Height and weight were measured and aimed to study prevalence, incidence and BMI (kg/m2) was calculated. Blood determinants of chronic disease in the sampling and storage have been elderly (32). The medical ethics described elsewhere (34). Serum was committee of the Erasmus Medical separated by centrifugation and quickly Centre Rotterdam approved the study frozen in liquid nitrogen. Baseline protocol. Baseline examination, including measurements were performed on a detailed interview, physical nonfasting blood samples. Glucose levels examination, and blood sampling, were were measured by the glucose hexokinase conducted between 1990 and 1993. method in fasting serum and postload In the Rotterdam Study, 3506 serum samples (35). people were genotyped. Diagnosis of Glucose level was measured in T2D was made based on the use of anti- mmol/l and insulin in mU/l. As indicator diabetic medication or random glucose of insulin resistance we used HOMA-IR, level > 11.1 mmol/l, according to the as suggested by Matthews (36): previous work of Rietveld and colleagues HOMA-IR=FGLxFIL/22.5 (33). Of the investigated group, 616 were As indicator of insulin sensitivity, affected. The effect of sex was not which uses the data from the oral glucose significant. T2D people were on average tolerance test (OGTT), we used the index older (73.46 y.o. vs. 68.09 in controls, suggested by Matsuda (37): P<0.001), had higher BMI (26.76 kg/m2 ISI=10000/square_root(FGLxFILxMEA vs. 26.14 in controls, P<0.01), and WHR N_GL_IN_OGTTxMEAN_IL_IN_OGT (0.93 in cases and 0.90 in controls, T) P<0.001). In the ERF study, anthropometric Within the Rotterdam Study, oral measurements and total-body imaging glucose tolerance test was performed for (using dual-energy X-ray absorptiometry, 4 DEXA) were done with participants in denatured in 0.5M NaOH. DNA bound their underwear and without shoes. Using to the Dynabeads was transferred soft tape, with the subject in standing between solutions using the magnetic position, waist circumference was PSQ Sample Tool (Biotage, Uppsala, measured midway between the lower Sweden). After washing to remove costal margin and the iliac crest, while excess NaOH, the single-stranded hip circumference was taken at the hip’s template was hybridised to 15 nmol widest diameter.
Recommended publications
  • RNA Expression Patterns in Serum Microvesicles from Patients With
    Noerholm et al. BMC Cancer 2012, 12:22 http://www.biomedcentral.com/1471-2407/12/22 RESEARCHARTICLE Open Access RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls Mikkel Noerholm1,2*, Leonora Balaj1, Tobias Limperg1,3, Afshin Salehi1,4, Lin Dan Zhu1, Fred H Hochberg1, Xandra O Breakefield1, Bob S Carter1,4 and Johan Skog1,2 Abstract Background: RNA from exosomes and other microvesicles contain transcripts of tumour origin. In this study we sought to identify biomarkers of glioblastoma multiforme in microvesicle RNA from serum of affected patients. Methods: Microvesicle RNA from serum from patients with de-novo primary glioblastoma multiforme (N = 9) and normal controls (N = 7) were analyzed by microarray analysis. Samples were collected according to protocols approved by the Institutional Review Board. Differential expressions were validated by qRT-PCR in a separate set of samples (N = 10 in both groups). Results: Expression profiles of microvesicle RNA correctly separated individuals in two groups by unsupervised clustering. The most significant differences pertained to down-regulated genes (121 genes > 2-fold down) in the glioblastoma multiforme patient microvesicle RNA, validated by qRT-PCR on several genes. Overall, yields of microvesicle RNA from patients was higher than from normal controls, but the additional RNA was primarily of size < 500 nt. Gene ontology of the down-regulated genes indicated these are coding for ribosomal proteins and genes related to ribosome production. Conclusions: Serum microvesicle RNA from patients with glioblastoma multiforme has significantly down- regulated levels of RNAs coding for ribosome production, compared to normal healthy controls, but a large overabundance of RNA of unknown origin with size < 500 nt.
    [Show full text]
  • (12) Patent Application Publication (10) Pub. No.: US 2002/0152483 A1 Reue Et Al
    US 2002O1524.83A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2002/0152483 A1 Reue et al. (43) Pub. Date: Oct. 17, 2002 (54) NOVEL GENE ASSOCATED WITH Publication Classification REGULATION OF ADPOSITY AND INSULIN RESPONSE (51) Int. Cl." ............................ A01K 67/00; C12O 1/68; C12P 19/34 (75) Inventors: Karen Reue, Torrance, CA (US); (52) U.S. Cl. .................................. 800/9; 435/6; 435/91.2 Miklos Peterfy, Los Angeles, CA (US) (57) ABSTRACT Correspondence Address: This invention pertains to the identification and isolation of LAW OFFICES OF JONATHAN ALAN QUINE a gene implicated in the fatty liver dystrophy (fld) pheno PO BOX 458 type. Mouse and human forms of the novel gene, designated ALAMEDA, CA 94501 herein as Lpin1/LPIN1 (mouse and human genes, respec tively), are identified. This invention additionally provides (73) Assignee: The Regents of the University of Cali methods of Screening for agents that alter adipose tissue fornia development. The methods involve contacting a cell con taining a Lpin1 gene With a test agent, and detecting a (21) Appl. No.: 10/028,056 change in the expression or activity of a Lpin1 gene product, (22) Filed: Dec. 19, 2001 where a difference in the expression or activity of Lpin1 in the contacted cell indicates that the agent alters or is likely Related U.S. Application Data to alter adipose tissue development. Also provided are methods of identifying Lpin1 mutations, and methods of (60) Provisional application No. 60/257,772, filed on Dec. mitigating Symptoms of lipodystrophy, obesity, diabetes, 22, 2000. atherOSclerosis and related pathologies.
    [Show full text]
  • BMC Genomics Biomed Central
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector BMC Genomics BioMed Central Research article Open Access Dual activation of pathways regulated by steroid receptors and peptide growth factors in primary prostate cancer revealed by Factor Analysis of microarray data Juan Jose Lozano1,2,5, Marta Soler3, Raquel Bermudo3, David Abia1, Pedro L Fernandez4, Timothy M Thomson*3 and Angel R Ortiz*1,2 Address: 1Bioinformatics Unit, Centro de Biología Molecular "Severo Ochoa" (CSIC-UAM), Universidad Autónoma de Madrid, Cantoblanco, 28049 Madrid, Spain, 2Department of Physiology and Biophysics, Mount Sinai School of Medicine, One Gustave Levy Pl., New York, NY 10029, USA, 3Instituto de Biología Molecular, Consejo Superior de Investigaciones Científicas, c. Jordi Girona 18–26, 08034 Barcelona, Spain, 4Departament de Anatomía Patològica, Hospital Clínic, and Institut de Investigacions Biomèdiques August Pi i Sunyer, c. Villarroel 170, 08036 Barcelona, Spain and 5Center for Genome Regulation, Barcelona (Spain) Email: Juan Jose Lozano - [email protected]; Marta Soler - [email protected]; Raquel Bermudo - [email protected]; David Abia - [email protected]; Pedro L Fernandez - [email protected]; Timothy M Thomson* - [email protected]; Angel R Ortiz* - [email protected] * Corresponding authors Published: 17 August 2005 Received: 17 January 2005 Accepted: 17 August 2005 BMC Genomics 2005, 6:109 doi:10.1186/1471-2164-6-109 This article is available from: http://www.biomedcentral.com/1471-2164/6/109 © 2005 Lozano et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    [Show full text]
  • Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
    Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.
    [Show full text]
  • 1 First Presentation of LPIN1 Acute Rhabdomyolysis in Adolescence and Adulthood
    Manuscript File Click here to view linked References 1 First presentation of LPIN1 acute rhabdomyolysis in adolescence and adulthood 2 3 Chiara Pizzamiglioa, Nayana Lahirib, Niranjanan Nirmalananthanc, Bhrigu Soodd, Subash 4 Somalankad, Philip Ostrowskie, Rahul Phadkef, Dominic Gerard O’Donovang, Francesco 5 Muntonih, Rosaline Quinlivana 6 7 a. MRC Centre for Neuromuscular Diseases, UCL Institute of Neurology and National Hospital for 8 Neurology and Neurosurgery, Queen Square, London, United Kingdom 9 10 b. Clinical Genetics Department, St George's University Hospitals NHS Foundation Trust, London, 11 United Kingdom 12 13 c. Departments of Neurology and Neuroradiology, Atkinson Morley Regional Neurosciences 14 Centre, St George's Hospital, London, United Kingdom 15 16 d. South West Thames Renal & Transplantation Unit and South West Thames Institute for Renal 17 Research, Saint Helier Hospital, Carshalton, Surrey, United Kingdom 18 19 e. South West Thames Regional Genetics Service, St George's University NHS Foundation Trust, 20 London, United Kingdom 21 22 f. Division of Neuropathology, Dubowitz Neuromuscular Centre, UCL Great Ormond Street 23 Hospital for Children, United Kingdom; Division of Neuropathology, National Hospital for 24 Neurology and Neurosurgery, Queen Square, London, United Kingdom 25 1 26 g. Neuropathology, Department of Histopathology, Addenbrooke’s Hospital, Cambridge University 27 Hospitals NHS Foundation Trust, Cambridge, United Kingdom 28 29 h. Paediatric Neurology, Dubowitz Neuromuscular Centre, UCL Institute of Child Health and Great 30 Ormond Street Hospital for Children, London, United Kingdom 31 32 Corresponding author: Chiara Pizzamiglio ([email protected]) 33 34 Abstract: LPIN1 mutations are a known common cause of autosomal recessive, recurrent and life- 35 threatening acute rhabdomyolysis of childhood-onset.
    [Show full text]
  • The Genetics of Bipolar Disorder
    Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF.
    [Show full text]
  • Telomerase a Prognostic Marker and Therapeutic Target
    Telomerase a prognostic marker and therapeutic target By Dipti S. Thakkar A thesis submitted to the University of Central Lancashire in partial fulfilment of the requirements for the degree of Doctor of Philosophy Month Year submitted: June 2010 1 Declaration I declare that while registered as a candidate for this degree I have not been registered as a candidate for any other award from an academic institution. The work present in this thesis, except where otherwise stated, is based on my own research and has not been submitted previously for any other award in this or any other University. DIPTI THAKKAR Signed 2 Abstract Malignant glioma is the most common and aggressive form of tumours and is usually refractory to therapy. Telomerase and its altered activity, distinguishing cancer cells, is an attractive molecular target in glioma therapeutics. The aim of this thesis was to silence telomerase at the genetic level with a view to highlight the changes caused in the cancer proteome and identify the potential downstream pathways controlled by telomerase in tumour progression and maintenance. A comprehensive proteomic study utilizing 2D-DIGE and MALDI-TOF were used to assess the effect of inhibiting two different regulatory mechanisms of telomerase in glioma. RNAi was used to target hTERT and Hsp90α. Inhibition of telomerase activity resulted in down regulation of various cytoskeletal proteins with correlative evidence of the involvement of telomerase in regulating the expression of vimentin. Vimentin plays an important role in tumour metastasis and is used as an indicator of glioma metastasis. Inhibition of telomerase via sihTERT results in the down regulation of vimentin expression in glioma cell lines in a grade specific manner.
    [Show full text]
  • Supplemental Table 1
    Supplemental Data Supplemental Table 1. Genes differentially regulated by Ad-KLF2 vs. Ad-GFP infected EC. Three independent genome-wide transcriptional profiling experiments were performed, and significantly regulated genes were identified. Color-coding scheme: Up, p < 1e-15 Up, 1e-15 < p < 5e-10 Up, 5e-10 < p < 5e-5 Up, 5e-5 < p <.05 Down, p < 1e-15 As determined by Zpool Down, 1e-15 < p < 5e-10 Down, 5e-10 < p < 5e-5 Down, 5e-5 < p <.05 p<.05 as determined by Iterative Standard Deviation Algorithm as described in Supplemental Methods Ratio RefSeq Number Gene Name 1,058.52 KRT13 - keratin 13 565.72 NM_007117.1 TRH - thyrotropin-releasing hormone 244.04 NM_001878.2 CRABP2 - cellular retinoic acid binding protein 2 118.90 NM_013279.1 C11orf9 - chromosome 11 open reading frame 9 109.68 NM_000517.3 HBA2;HBA1 - hemoglobin, alpha 2;hemoglobin, alpha 1 102.04 NM_001823.3 CKB - creatine kinase, brain 96.23 LYNX1 95.53 NM_002514.2 NOV - nephroblastoma overexpressed gene 75.82 CeleraFN113625 FLJ45224;PTGDS - FLJ45224 protein;prostaglandin D2 synthase 21kDa 74.73 NM_000954.5 (brain) 68.53 NM_205545.1 UNQ430 - RGTR430 66.89 NM_005980.2 S100P - S100 calcium binding protein P 64.39 NM_153370.1 PI16 - protease inhibitor 16 58.24 NM_031918.1 KLF16 - Kruppel-like factor 16 46.45 NM_024409.1 NPPC - natriuretic peptide precursor C 45.48 NM_032470.2 TNXB - tenascin XB 34.92 NM_001264.2 CDSN - corneodesmosin 33.86 NM_017671.3 C20orf42 - chromosome 20 open reading frame 42 33.76 NM_024829.3 FLJ22662 - hypothetical protein FLJ22662 32.10 NM_003283.3 TNNT1 - troponin T1, skeletal, slow LOC388888 (LOC388888), mRNA according to UniGene - potential 31.45 AK095686.1 CONFLICT - LOC388888 (na) according to LocusLink.
    [Show full text]
  • Supplementary Table 1: Genes Located on Chromosome 18P11-18Q23, an Area Significantly Linked to TMPRSS2-ERG Fusion
    Supplementary Table 1: Genes located on Chromosome 18p11-18q23, an area significantly linked to TMPRSS2-ERG fusion Symbol Cytoband Description LOC260334 18p11 HSA18p11 beta-tubulin 4Q pseudogene IL9RP4 18p11.3 interleukin 9 receptor pseudogene 4 LOC100132166 18p11.32 hypothetical LOC100132166 similar to Rho-associated protein kinase 1 (Rho- associated, coiled-coil-containing protein kinase 1) (p160 LOC727758 18p11.32 ROCK-1) (p160ROCK) (NY-REN-35 antigen) ubiquitin specific peptidase 14 (tRNA-guanine USP14 18p11.32 transglycosylase) THOC1 18p11.32 THO complex 1 COLEC12 18pter-p11.3 collectin sub-family member 12 CETN1 18p11.32 centrin, EF-hand protein, 1 CLUL1 18p11.32 clusterin-like 1 (retinal) C18orf56 18p11.32 chromosome 18 open reading frame 56 TYMS 18p11.32 thymidylate synthetase ENOSF1 18p11.32 enolase superfamily member 1 YES1 18p11.31-p11.21 v-yes-1 Yamaguchi sarcoma viral oncogene homolog 1 LOC645053 18p11.32 similar to BolA-like protein 2 isoform a similar to 26S proteasome non-ATPase regulatory LOC441806 18p11.32 subunit 8 (26S proteasome regulatory subunit S14) (p31) ADCYAP1 18p11 adenylate cyclase activating polypeptide 1 (pituitary) LOC100130247 18p11.32 similar to cytochrome c oxidase subunit VIc LOC100129774 18p11.32 hypothetical LOC100129774 LOC100128360 18p11.32 hypothetical LOC100128360 METTL4 18p11.32 methyltransferase like 4 LOC100128926 18p11.32 hypothetical LOC100128926 NDC80 homolog, kinetochore complex component (S. NDC80 18p11.32 cerevisiae) LOC100130608 18p11.32 hypothetical LOC100130608 structural maintenance
    [Show full text]
  • MYL12A (1-171, His-Tag) Human Protein – AR39103PU-N | Origene
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for AR39103PU-N MYL12A (1-171, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: MYL12A (1-171, His-tag) human recombinant protein, 0.1 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 22.4 kDa Concentration: lot specific Purity: >90% Buffer: Presentation State: Purified State: Liquid purified protein Buffer System: 20mM Tris-HCl buffer (pH 8.0) containing 20% glycerol, 1mM DTT Preparation: Liquid purified protein Protein Description: Recombinant human MYL12A protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography. Storage: Store undiluted at 2-8°C for up to two weeks or (in aliquots) at -20°C or -70°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. RefSeq: NP_001289976 Locus ID: 10627 UniProt ID: P19105 Cytogenetics: 18p11.31 Synonyms: HEL-S-24; MLC-2B; MLCB; MRCL3; MRLC3; MYL2B Summary: This gene encodes a nonsarcomeric myosin regulatory light chain. This protein is activated by phosphorylation and regulates smooth muscle and non-muscle cell contraction. This protein may also be involved in DNA damage repair by sequestering the transcriptional regulator apoptosis-antagonizing transcription factor (AATF)/Che-1 which functions as a repressor of p53-driven apoptosis. Alternate splicing results in multiple transcript variants. A pseudogene of this gene is found on chromosome 8.[provided by RefSeq, Dec 2014] This product is to be used for laboratory only.
    [Show full text]
  • Genetic Effects of LPIN1 Polymorphisms on Milk Production Traits in Dairy Cattle
    G C A T T A C G G C A T genes Article Genetic Effects of LPIN1 Polymorphisms on Milk Production Traits in Dairy Cattle Bo Han 1, Yuwei Yuan 1, Ruobing Liang 1, Yanhua Li 2, Lin Liu 2 and Dongxiao Sun 1,* 1 Department of Animal Genetics, Breeding and Reproduction, College of Animal Science and Technology, Key Laboratory of Animal Genetics, Breeding and Reproduction of Ministry of Agriculture and Rural Affairs, National Engineering Laboratory for Animal Breeding, China Agricultural University, Beijing 100193, China; [email protected] (B.H.); [email protected] (Y.Y.); [email protected] (R.L.) 2 Beijing Dairy Cattle Center, Qinghe’nanzhen Deshengmenwai Street, Chaoyang District, Beijing 100192, China; [email protected] (Y.L.); [email protected] (L.L.) * Correspondence: [email protected] Received: 12 March 2019; Accepted: 28 March 2019; Published: 2 April 2019 Abstract: Our initial RNA sequencing work identified that lipin 1 (LPIN1) was differentially expressed during dry period, early lactation, and peak of lactation in dairy cows, and it was enriched into the fat metabolic Gene Ontology (GO) terms and pathways, thus we considered LPIN1 as the candidate gene for milk production traits. In this study, we detected the polymorphisms of LPIN1 and verified their genetic effects on milk yield and composition in a Chinese Holstein cow population. We found seven SNPs by re-sequencing the entire coding region and partial flanking region of LPIN1, including one in 50 flanking region, four in exons, and two in 30 flanking region. Of these, four SNPs, c.637T > C, c.708A > G, c.1521C > T, and c.1555A > C, in the exons were predicted to result in the amino acid replacements.
    [Show full text]
  • Gene Expression-Based Molecular Diagnostic System for Malignant
    Imaging, Diagnosis, Prognosis Gene Expression-Based Molecular Diagnostic System for Malignant Gliomas Is Superior to Histological Diagnosis Mitsuaki Shirahata,1, 2 Kyoko Iwao-Koizumi,2 Sakae Saito,2 Noriko Ueno,2 Masashi Oda,1 Nobuo Hashimoto,1Jun A.Takahashi, 1and Kikuya Kato2 Abstract Purpose: Current morphology-based glioma classification methods do not adequately reflect the complex biology of gliomas, thus limiting their prognostic ability.In this study, we focused on anaplastic oligodendroglioma and glioblastoma, which typically follow distinct clinical courses.Our goal was to construct a clinically useful molecular diagnostic system based on gene expression profiling. Experimental Design: The expression of 3,456 genes in 32 patients, 12 and 20 of whom had prognostically distinct anaplastic oligodendroglioma and glioblastoma, respectively, was measured by PCR array.Next to unsupervised methods, we did supervised analysis using a weighted voting algorithm to construct a diagnostic system discriminating anaplastic oligodendroglioma from glioblastoma.The diagnostic accuracy of this system was evaluated by leave-one-out cross-validation.The clinical utility was tested on a microarray-based data set of 50 malignant gliomas from a previous study. Results: Unsupervised analysis showed divergent global gene expression patterns between the two tumor classes.A supervised binary classification model showed 100% (95% confidence interval, 89.4-100%) diagnostic accuracy by leave-one-out cross-validation using 168 diagnostic genes.Applied to a gene expression data set from a previous study, our model correlated better with outcome than histologic diagnosis, and also displayed 96.6% (28 of 29) consistency with the molecular classification scheme used for these histologically controversial gliomas in the original article.Furthermore, we observed that histologically diagnosed glioblastoma samples that shared anaplastic oligodendroglioma molecular characteristics tended to be associated with longer survival.
    [Show full text]