Immortalization of Human Hepatocytes from Biliary Atresia with CDK4R24C
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Pathway-Based Genome-Wide Association Analysis of Coronary Heart Disease Identifies Biologically Important Gene Sets
European Journal of Human Genetics (2012) 20, 1168–1173 & 2012 Macmillan Publishers Limited All rights reserved 1018-4813/12 www.nature.com/ejhg ARTICLE Pathway-based genome-wide association analysis of coronary heart disease identifies biologically important gene sets Lisa de las Fuentes1,4, Wei Yang2,4, Victor G Da´vila-Roma´n1 and C Charles Gu*,2,3 Genome-wide association (GWA) studies of complex diseases including coronary heart disease (CHD) challenge investigators attempting to identify relevant genetic variants among hundreds of thousands of markers being tested. A selection strategy based purely on statistical significance will result in many false negative findings after adjustment for multiple testing. Thus, an integrated analysis using information from the learned genetic pathways, molecular functions, and biological processes is desirable. In this study, we applied a customized method, variable set enrichment analysis (VSEA), to the Framingham Heart Study data (404 467 variants, n ¼ 6421) to evaluate enrichment of genetic association in 1395 gene sets for their contribution to CHD. We identified 25 gene sets with nominal Po0.01; at least four sets are previously known for their roles in CHD: vascular genesis (GO:0001570), fatty-acid biosynthetic process (GO:0006633), fatty-acid metabolic process (GO:0006631), and glycerolipid metabolic process (GO:0046486). Although the four gene sets include 170 genes, only three of the genes contain a variant ranked among the top 100 in single-variant association tests of the 404 467 variants tested. Significant enrichment for novel gene sets less known for their importance to CHD were also identified: Rac 1 cell-motility signaling pathway (h_rac1 Pathway, Po0.001) and sulfur amino-acid metabolic process (GO:0000096, Po0.001). -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
Supporting Information
Supporting Information Pouryahya et al. SI Text Table S1 presents genes with the highest absolute value of Ricci curvature. We expect these genes to have significant contribution to the network’s robustness. Notably, the top two genes are TP53 (tumor protein 53) and YWHAG gene. TP53, also known as p53, it is a well known tumor suppressor gene known as the "guardian of the genome“ given the essential role it plays in genetic stability and prevention of cancer formation (1, 2). Mutations in this gene play a role in all stages of malignant transformation including tumor initiation, promotion, aggressiveness, and metastasis (3). Mutations of this gene are present in more than 50% of human cancers, making it the most common genetic event in human cancer (4, 5). Namely, p53 mutations play roles in leukemia, breast cancer, CNS cancers, and lung cancers, among many others (6–9). The YWHAG gene encodes the 14-3-3 protein gamma, a member of the 14-3-3 family proteins which are involved in many biological processes including signal transduction regulation, cell cycle pro- gression, apoptosis, cell adhesion and migration (10, 11). Notably, increased expression of 14-3-3 family proteins, including protein gamma, have been observed in a number of human cancers including lung and colorectal cancers, among others, suggesting a potential role as tumor oncogenes (12, 13). Furthermore, there is evidence that loss Fig. S1. The histogram of scalar Ricci curvature of 8240 genes. Most of the genes have negative scalar Ricci curvature (75%). TP53 and YWHAG have notably low of p53 function may result in upregulation of 14-3-3γ in lung cancer Ricci curvatures. -
Genetic Features of Myelodysplastic Syndrome and Aplastic Anemia in Pediatric and Young Adult Patients
Bone Marrow Failure SUPPLEMENTARY APPENDIX Genetic features of myelodysplastic syndrome and aplastic anemia in pediatric and young adult patients Siobán B. Keel, 1* Angela Scott, 2,3,4 * Marilyn Sanchez-Bonilla, 5 Phoenix A. Ho, 2,3,4 Suleyman Gulsuner, 6 Colin C. Pritchard, 7 Janis L. Abkowitz, 1 Mary-Claire King, 6 Tom Walsh, 6** and Akiko Shimamura 5** 1Department of Medicine, Division of Hematology, University of Washington, Seattle, WA; 2Clinical Research Division, Fred Hutchinson Can - cer Research Center, Seattle, WA; 3Department of Pediatric Hematology/Oncology, Seattle Children’s Hospital, WA; 4Department of Pedi - atrics, University of Washington, Seattle, WA; 5Boston Children’s Hospital, Dana Farber Cancer Institute, and Harvard Medical School, MA; 6Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA; and 7Department of Laboratory Medicine, University of Washington, Seattle, WA, USA *SBK and ASc contributed equally to this work **TW and ASh are co-senior authors ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2016.149476 Received: May 16, 2016. Accepted: July 13, 2016. Pre-published: July 14, 2016. Correspondence: [email protected] or [email protected] Supplementary materials Supplementary methods Retrospective chart review Patient data were collected from medical records by two investigators blinded to the results of genetic testing. The following information was collected: date of birth, transplant, death, and last follow-up, -
Understanding Brassicaceae Evolution Through Ancestral
Understanding Brassicaceae evolution through ancestral genome reconstruction Florent Murat, Alexandra Louis, Florian Maumus, Alix Armero Villanueva, Richard Cooke, Hadi Quesneville, Hugues Roest Crollius, Jerome Salse To cite this version: Florent Murat, Alexandra Louis, Florian Maumus, Alix Armero Villanueva, Richard Cooke, et al.. Understanding Brassicaceae evolution through ancestral genome reconstruction. Genome Biology, BioMed Central, 2015, 16 (262), 10.1186/s13059-015-0814-y. hal-01281832 HAL Id: hal-01281832 https://hal.archives-ouvertes.fr/hal-01281832 Submitted on 2 Mar 2016 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Murat et al. Genome Biology (2015) 16:262 DOI 10.1186/s13059-015-0814-y RESEARCH Open Access Understanding Brassicaceae evolution through ancestral genome reconstruction Florent Murat1†, Alexandra Louis2,3,4†, Florian Maumus5†, Alix Armero1, Richard Cooke6, Hadi Quesneville5, Hugues Roest Crollius2,3,4 and Jerome Salse1* Abstract Background: Brassicaceae is a family of green plants of high scientific and economic interest, including thale cress (Arabidopsis thaliana), cruciferous vegetables (cabbages) and rapeseed. Results: We reconstruct an evolutionary framework of Brassicaceae composed of high-resolution ancestral karyotypes using the genomes of modern A. thaliana, Arabidopsis lyrata, Capsella rubella, Brassica rapa and Thellungiella parvula. -
Emery and Rimoin's Principles and Practice Of
9 Disorders of the Venous System Pascal Brouillard,1 Nisha Limaye,1 Laurence M. Boon,1,2 Miikka Vikkula1,3 1Human Molecular Genetics, de Duve Institute, Université catholique de Louvain, Brussels, Belgium, 2Center for Vascular Anomalies, Division of Plastic Surgery, Cliniques Universitaires St-Luc, Université catholique de Louvain, Brussels, Belgium, 3Walloon Excellence in Lifesciences and Biotechnology (WELBIO), Université catholique de Louvain, Brussels, Belgium 9.1 INTRODUCTION hemangioma) and more slow-growing vascular malfor- mations. The latter are subcategorized according to the The vasculature is the first organ system to develop during type(s) of vessel(s) altered [5–7] into capillary, venous, embryogenesis, delivering nutrients, growth factors, and arteriovenous, lymphatic, and combined malformations. oxygen to tissues and removing wastes. It is made up of four major types of vessels: arteries, capillaries, veins, and lymphatic vessels, all of which have a single layer of endo- 9.2 THE VENOUS SYSTEM thelial cells (ECs) forming the innermost layer. In blood Veins collect CO2-rich blood from the capillary net- vessels, the endothelial tubes are supported by a layer of work and contain about 75%–80% of the total volume of vascular smooth muscle cells (vSMCs) and/or pericytes blood in the body. They have larger lumens than arteries, (together called mural cells) of variable thickness. A base- with thinner, less muscular walls. Venous flow is passive, ment membrane separates the endothelial and vSMC essentially mediated by physical movements of the body layers, with an extracellular matrix (ECM) of fibrous and and the aspirating effect exerted by the heart. The pres- elastic proteins and carbohydrate polymers forming the ence of valves ensures correct orientation of blood flow. -
Molecular Diagnostic Requisition
BAYLOR MIRACA GENETICS LABORATORIES SHIP TO: Baylor Miraca Genetics Laboratories 2450 Holcombe, Grand Blvd. -Receiving Dock PHONE: 800-411-GENE | FAX: 713-798-2787 | www.bmgl.com Houston, TX 77021-2024 Phone: 713-798-6555 MOLECULAR DIAGNOSTIC REQUISITION PATIENT INFORMATION SAMPLE INFORMATION NAME: DATE OF COLLECTION: / / LAST NAME FIRST NAME MI MM DD YY HOSPITAL#: ACCESSION#: DATE OF BIRTH: / / GENDER (Please select one): FEMALE MALE MM DD YY SAMPLE TYPE (Please select one): ETHNIC BACKGROUND (Select all that apply): UNKNOWN BLOOD AFRICAN AMERICAN CORD BLOOD ASIAN SKELETAL MUSCLE ASHKENAZIC JEWISH MUSCLE EUROPEAN CAUCASIAN -OR- DNA (Specify Source): HISPANIC NATIVE AMERICAN INDIAN PLACE PATIENT STICKER HERE OTHER JEWISH OTHER (Specify): OTHER (Please specify): REPORTING INFORMATION ADDITIONAL PROFESSIONAL REPORT RECIPIENTS PHYSICIAN: NAME: INSTITUTION: PHONE: FAX: PHONE: FAX: NAME: EMAIL (INTERNATIONAL CLIENT REQUIREMENT): PHONE: FAX: INDICATION FOR STUDY SYMPTOMATIC (Summarize below.): *FAMILIAL MUTATION/VARIANT ANALYSIS: COMPLETE ALL FIELDS BELOW AND ATTACH THE PROBAND'S REPORT. GENE NAME: ASYMPTOMATIC/POSITIVE FAMILY HISTORY: (ATTACH FAMILY HISTORY) MUTATION/UNCLASSIFIED VARIANT: RELATIONSHIP TO PROBAND: THIS INDIVIDUAL IS CURRENTLY: SYMPTOMATIC ASYMPTOMATIC *If family mutation is known, complete the FAMILIAL MUTATION/ VARIANT ANALYSIS section. NAME OF PROBAND: ASYMPTOMATIC/POPULATION SCREENING RELATIONSHIP TO PROBAND: OTHER (Specify clinical findings below): BMGL LAB#: A COPY OF ORIGINAL RESULTS ATTACHED IF PROBAND TESTING WAS PERFORMED AT ANOTHER LAB, CALL TO DISCUSS PRIOR TO SENDING SAMPLE. A POSITIVE CONTROL MAY BE REQUIRED IN SOME CASES. REQUIRED: NEW YORK STATE PHYSICIAN SIGNATURE OF CONSENT I certify that the patient specified above and/or their legal guardian has been informed of the benefits, risks, and limitations of the laboratory test(s) requested. -
Adenylate Kinase 2 / AK2 (1-239, His-Tag) Human Protein Product Data
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 AR09002PU-N Adenylate kinase 2 / AK2 (1-239, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: Adenylate kinase 2 / AK2 (1-239, His-tag) human recombinant protein, 0.5 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 28.6 kDa Concentration: lot specific Purity: >95% by SDS-PAGE Buffer: Presentation State: Purified State: Liquid purified protein Buffer System: 20 mM Tris pH 7.5, 5 mM DTT, 20% glycerol Bioactivity: Specific: > 1.5 units/ml One unit will convert 2.0 umoles of ADP to ATP + AMP per minute at pH 7.5 at 25°C. Endotoxin: < 1.0 EU per 1 µg of protein (determined by LAL method) Preparation: Liquid purified protein Applications: Protocol: Activity Assay 1. Prepare a 1.4 ml assay buffer (Assay buffer: 58 mM glycylglycine, 2.0 mM adenosine 5'- diphosphate, 2.3 mM beta-nicotinamide adenine dinucleotide phosphate, 10 mM magnesium chloride, 10 mM glucose, 2 unit hexokinase, 1 unit glucose-6-phosphate dehydrogenase, 0.003% (w/v) BSA, pH 7.5.) - G-6-PDH/Hex (sigma,Cat.No. H-8629) 2. Add 50 ul of recombinant Adenylate kinase isoenzyme 2 protein with various concentrations (0.5 ug, 1 ug) and read the increase in A340nm for 5 minutes. Protein Description: Recombinant human AK2 protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography techniques. -
Next-Generation Sequencing, FISH Mapping and Synteny- Based Modeling Reveal Mechanisms of Decreasing Dysploidy in Cucumis
The Plant Journal (2014) 77, 16–30 doi: 10.1111/tpj.12355 Next-generation sequencing, FISH mapping and synteny- based modeling reveal mechanisms of decreasing dysploidy in Cucumis Luming Yang1,†, Dal-Hoe Koo1,†, Dawei Li1,2, Tao Zhang1, Jiming Jiang1, Feishi Luan3, Susanne S. Renner4, Elizabeth Henaff 5, Walter Sanseverino6, Jordi Garcia-Mas6, Josep Casacuberta5, Douglas A. Senalik1,7, Philipp W. Simon1,7, Jinfeng Chen8 and Yiqun Weng1,7,* 1Horticulture Department, University of Wisconsin, Madison, WI 53706, USA, 2Horticulture College, Northwest A & F University, Yangling 712100, China, 3Horticulture College, Northeast Agricultural University, Harbin 150030, China, 4Department of Biology, University of Munich, 80638 Munich, Germany, 5Centre for Research in Agricultural Genomics Consejo Superior de Investigaciones Cientı´ficas-Institut de Recerca i Tecnolo- gia Agroalimenta` ries-Universitat Auto` noma de Barcelona-Universitat de Barcelona, 08193 Barcelona, Spain, 6Institut de Recerca i Tecnologia Agroalimenta` ries, Centre for Research in Agricultural Genomics Consejo Superior de Inves- tigaciones Cientı´ficas-Institut de Recerca i Tecnologia Agroalimenta` ries-Universitat Auto` noma de Barcelona-Universitat de Barcelona, 08193 Barcelona, Spain, 7US Department of Agriculture/Agricultural Research Service, Vegetable Crops Research Unit, 1575 Linden Drive, Madison, WI 53706, USA, and 8College of Horticulture, Nanjing Agricultural University, Nanjing 210095, China Received 27 July 2013; revised 7 October 2013; accepted 10 October 2013; published online 15 October 2013. *For correspondence (e-mail [email protected]). †These authors contributed equally to this work. SUMMARY In the large Cucurbitaceae genus Cucumis, cucumber (C. sativus) is the only species with 2n = 2x = 14 chro- mosomes. The majority of the remaining species, including melon (C. -
Genetic and Chemical Modifiers of EGFR Dependence in Non- Small Cell Lung Cancer
Genetic and Chemical Modifiers of EGFR Dependence in Non- Small Cell Lung Cancer The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters Citation Sharifnia, Tanaz. 2014. Genetic and Chemical Modifiers of EGFR Dependence in Non-Small Cell Lung Cancer. Doctoral dissertation, Harvard University. Citable link http://nrs.harvard.edu/urn-3:HUL.InstRepos:11745725 Terms of Use This article was downloaded from Harvard University’s DASH repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http:// nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of- use#LAA Genetic and Chemical Modifiers of EGFR Dependence in Non-Small Cell Lung Cancer A dissertation presented by Tanaz Sharifnia to The Division of Medical Sciences in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the subject of Biological and Biomedical Sciences Harvard University Cambridge, Massachusetts December 2013 © 2013 Tanaz Sharifnia All rights reserved. Dissertation Advisor: Professor Matthew Meyerson Tanaz Sharifnia Genetic and Chemical Modifiers of EGFR Dependence in Non-Small Cell Lung Cancer ABSTRACT The term ‘oncogene addiction’ has been used to describe the phenomenon whereby tumor cells exhibit singular reliance on an oncogene or oncogenic pathway for their survival, despite the accumulation of multiple genetic lesions. In non-small cell lung cancer (NSCLC), this principle is perhaps best exemplified with the finding that epidermal growth factor receptor (EGFR) mutations predict response to EGFR-targeted therapies and thus represent a dependency in the subset of tumors harboring these alterations. -
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 -
Prenatal Testing Requisition Form
BAYLOR MIRACA GENETICS LABORATORIES SHIP TO: Baylor Miraca Genetics Laboratories 2450 Holcombe, Grand Blvd. -Receiving Dock PHONE: 800-411-GENE | FAX: 713-798-2787 | www.bmgl.com Houston, TX 77021-2024 Phone: 713-798-6555 PRENATAL COMPREHENSIVE REQUISITION FORM PATIENT INFORMATION NAME (LAST,FIRST, MI): DATE OF BIRTH (MM/DD/YY): HOSPITAL#: ACCESSION#: REPORTING INFORMATION ADDITIONAL PROFESSIONAL REPORT RECIPIENTS PHYSICIAN: NAME: INSTITUTION: PHONE: FAX: PHONE: FAX: NAME: EMAIL (INTERNATIONAL CLIENT REQUIREMENT): PHONE: FAX: SAMPLE INFORMATION CLINICAL INDICATION FETAL SPECIMEN TYPE Pregnancy at risk for specific genetic disorder DATE OF COLLECTION: (Complete FAMILIAL MUTATION information below) Amniotic Fluid: cc AMA PERFORMING PHYSICIAN: CVS: mg TA TC Abnormal Maternal Screen: Fetal Blood: cc GESTATIONAL AGE (GA) Calculation for AF-AFP* NTD TRI 21 TRI 18 Other: SELECT ONLY ONE: Abnormal NIPT (attach report): POC/Fetal Tissue, Type: TRI 21 TRI 13 TRI 18 Other: Cultured Amniocytes U/S DATE (MM/DD/YY): Abnormal U/S (SPECIFY): Cultured CVS GA ON U/S DATE: WKS DAYS PARENTAL BLOODS - REQUIRED FOR CMA -OR- Maternal Blood Date of Collection: Multiple Pregnancy Losses LMP DATE (MM/DD/YY): Parental Concern Paternal Blood Date of Collection: Other Indication (DETAIL AND ATTACH REPORT): *Important: U/S dating will be used if no selection is made. Name: Note: Results will differ depending on method checked. Last Name First Name U/S dating increases overall screening performance. Date of Birth: KNOWN FAMILIAL MUTATION/DISORDER SPECIFIC PRENATAL TESTING Notice: Prior to ordering testing for any of the disorders listed, you must call the lab and discuss the clinical history and sample requirements with a genetic counselor.