Using Genetic Data in the Add Health Sample Andrew Smolen and Brett Haberstick Institute for Behavioral Genetics, University of Colorado at Boulder
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Endoglin Protein Interactome Profiling Identifies TRIM21 and Galectin-3 As
cells Article Endoglin Protein Interactome Profiling Identifies TRIM21 and Galectin-3 as New Binding Partners 1, 1, 2, Eunate Gallardo-Vara y, Lidia Ruiz-Llorente y, Juan Casado-Vela y , 3 4 5 6, , María J. Ruiz-Rodríguez , Natalia López-Andrés , Asit K. Pattnaik , Miguel Quintanilla z * 1, , and Carmelo Bernabeu z * 1 Centro de Investigaciones Biológicas, Consejo Superior de Investigaciones Científicas (CSIC), and Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), 28040 Madrid, Spain; [email protected] (E.G.-V.); [email protected] (L.R.-L.) 2 Bioengineering and Aerospace Engineering Department, Universidad Carlos III and Centro de Investigación Biomédica en Red Enfermedades Neurodegenerativas (CIBERNED), Leganés, 28911 Madrid, Spain; [email protected] 3 Centro Nacional de Investigaciones Cardiovasculares (CNIC), 28029 Madrid, Spain; [email protected] 4 Cardiovascular Translational Research, Navarrabiomed, Complejo Hospitalario de Navarra (CHN), Universidad Pública de Navarra (UPNA), IdiSNA, 31008 Pamplona, Spain; [email protected] 5 School of Veterinary Medicine and Biomedical Sciences, and Nebraska Center for Virology, University of Nebraska-Lincoln, Lincoln, NE 68583, USA; [email protected] 6 Instituto de Investigaciones Biomédicas “Alberto Sols”, Consejo Superior de Investigaciones Científicas (CSIC), and Departamento de Bioquímica, Universidad Autónoma de Madrid (UAM), 28029 Madrid, Spain * Correspondence: [email protected] (M.Q.); [email protected] (C.B.) These authors contributed equally to this work. y Equal senior contribution. z Received: 7 August 2019; Accepted: 7 September 2019; Published: 13 September 2019 Abstract: Endoglin is a 180-kDa glycoprotein receptor primarily expressed by the vascular endothelium and involved in cardiovascular disease and cancer. -
Greg's Awesome Thesis
Analysis of alignment error and sitewise constraint in mammalian comparative genomics Gregory Jordan European Bioinformatics Institute University of Cambridge A dissertation submitted for the degree of Doctor of Philosophy November 30, 2011 To my parents, who kept us thinking and playing This dissertation is the result of my own work and includes nothing which is the out- come of work done in collaboration except where specifically indicated in the text and acknowledgements. This dissertation is not substantially the same as any I have submitted for a degree, diploma or other qualification at any other university, and no part has already been, or is currently being submitted for any degree, diploma or other qualification. This dissertation does not exceed the specified length limit of 60,000 words as defined by the Biology Degree Committee. November 30, 2011 Gregory Jordan ii Analysis of alignment error and sitewise constraint in mammalian comparative genomics Summary Gregory Jordan November 30, 2011 Darwin College Insight into the evolution of protein-coding genes can be gained from the use of phylogenetic codon models. Recently sequenced mammalian genomes and powerful analysis methods developed over the past decade provide the potential to globally measure the impact of natural selection on pro- tein sequences at a fine scale. The detection of positive selection in particular is of great interest, with relevance to the study of host-parasite conflicts, immune system evolution and adaptive dif- ferences between species. This thesis examines the performance of methods for detecting positive selection first with a series of simulation experiments, and then with two empirical studies in mammals and primates. -
SNP Analysis Reveals an Evolutionary Acceleration of the Human-Specific Micrornas
CORE Metadata, citation and similar papers at core.ac.uk Provided by Nature Precedings Rapid evolution of the human-specific microRNAs SNP analysis reveals an evolutionary acceleration of the human-specific microRNAs Qipeng Zhang1, 2, Ming Lu1, 2, and Qinghua Cui1, 2 1. Department of Medical Informatics, Peking University Health Science Center, Peking University, 38 Xueyuan Rd, Beijing, China 100083 2. Ministry of Education Key Lab of Molecular Cardiovascular Sciences, Peking University, 38 Xueyuan Rd, Beijing, China 100083 Nature Precedings : hdl:10101/npre.2008.2127.1 Posted 29 Jul 2008 Corresponding author: Cui, Q. ([email protected]) 1 PDF 文件使用 "pdfFactory Pro" 试用版本创建 www.fineprint.cn Rapid evolution of the human-specific microRNAs MicroRNAs are one class of important gene regulators at the post-transcriptional level by binding to the 3’UTRs of target mRNAs. It has been reported that human microRNAs are evolutionary conserved and show lower single nucleotide polymorphisms (SNPs) than their flanking regions. However, in this study, we report that the human-specific microRNAs show a higher SNP density than both the conserved microRNAs and other control regions, suggesting rapid evolution and positive selection has occurred in these regions. Furthermore, we observe that the human-specific microRNAs show greater SNPs minor allele frequency and the SNPs in the human-specific microRNAs show fewer effects on the stability of the microRNA secondary structure, indicating that the SNPs in the human-specific microRNAs tend to be less deleterious. Finally, two microRNAs hsa-mir-423 (SNP: rs6505162), hsa-mir-608 (SNP: rs4919510) and 288 target genes that have apparently been under recent positive selection are identified. -
WO 2017/214553 Al 14 December 2017 (14.12.2017) W !P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2017/214553 Al 14 December 2017 (14.12.2017) W !P O PCT (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, C12N 15/11 (2006.01) C12N 15/113 (2010.01) CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (21) International Application Number: HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, PCT/US20 17/036829 KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (22) International Filing Date: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 09 June 2017 (09.06.2017) OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY,TH, TJ, TM, TN, (25) Filing Language: English TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 62/347,737 09 June 2016 (09.06.2016) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, 62/408,639 14 October 2016 (14.10.2016) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/433,770 13 December 2016 (13.12.2016) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, (71) Applicant: THE GENERAL HOSPITAL CORPO¬ MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, RATION [US/US]; 55 Fruit Street, Boston, Massachusetts TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, 021 14 (US). -
The Disruption Ofcelf6, a Gene Identified by Translational Profiling
2732 • The Journal of Neuroscience, February 13, 2013 • 33(7):2732–2753 Neurobiology of Disease The Disruption of Celf6, a Gene Identified by Translational Profiling of Serotonergic Neurons, Results in Autism-Related Behaviors Joseph D. Dougherty,1,2 Susan E. Maloney,1,2 David F. Wozniak,2 Michael A. Rieger,1,2 Lisa Sonnenblick,3,4,5 Giovanni Coppola,4 Nathaniel G. Mahieu,1 Juliet Zhang,6 Jinlu Cai,8 Gary J. Patti,1 Brett S. Abrahams,8 Daniel H. Geschwind,3,4,5 and Nathaniel Heintz6,7 Departments of 1Genetics and 2Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, 3UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Behavior, 4Program in Neurogenetics, Department of Neurology, and 5Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, 6Laboratory of Molecular Biology, Howard Hughes Medical Institute, and 7The GENSAT Project, Rockefeller University, New York, New York 10065, and 8Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, New York, New York 10461 The immense molecular diversity of neurons challenges our ability to understand the genetic and cellular etiology of neuropsychiatric disorders. Leveraging knowledge from neurobiology may help parse the genetic complexity: identifying genes important for a circuit that mediates a particular symptom of a disease may help identify polymorphisms that contribute to risk for the disease as a whole. The serotonergic system has long been suspected in disorders that have symptoms of repetitive behaviors and resistance to change, including autism. We generated a bacTRAP mouse line to permit translational profiling of serotonergic neurons. -
Physiology and Molecular Characterization of Metabolism Related Mouse Models for Bone Disease
TECHNISCHE UNIVERSITÄT MÜNCHEN Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt Lehrstuhl für Experimentelle Genetik Physiology and molecular characterization of metabolism related mouse models for bone disease Shen Chi Vollständiger Abdruck der von der Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. W. Wurst Prüfer der Dissertation: 1. Univ.-Prof. Dr. M. Hrabé de Angelis 2. apl. Prof. Dr. J. Adamski Die Dissertation wurde am 16.03.2015 bei der Technischen Universität München eingereicht und durch die Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt am 29.07.2015 angenommen. I. Table of contents I. TABLE OF CONTENTS .............................................................................................................. I II. FIGURES AND TABLES ........................................................................................................... IV III. ABBREVIATIONS ................................................................................................................ VII IV. ACKNOWLEDGEMENTS .................................................................................................. XII V. AFFIRMATION ......................................................................................................................... XII 1. SUMMARY/ZUSAMMENFASSUNG -
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham a Thesis Submitted in Conformity
Characterizing Genomic Duplication in Autism Spectrum Disorder by Edward James Higginbotham A thesis submitted in conformity with the requirements for the degree of Master of Science Graduate Department of Molecular Genetics University of Toronto © Copyright by Edward James Higginbotham 2020 i Abstract Characterizing Genomic Duplication in Autism Spectrum Disorder Edward James Higginbotham Master of Science Graduate Department of Molecular Genetics University of Toronto 2020 Duplication, the gain of additional copies of genomic material relative to its ancestral diploid state is yet to achieve full appreciation for its role in human traits and disease. Challenges include accurately genotyping, annotating, and characterizing the properties of duplications, and resolving duplication mechanisms. Whole genome sequencing, in principle, should enable accurate detection of duplications in a single experiment. This thesis makes use of the technology to catalogue disease relevant duplications in the genomes of 2,739 individuals with Autism Spectrum Disorder (ASD) who enrolled in the Autism Speaks MSSNG Project. Fine-mapping the breakpoint junctions of 259 ASD-relevant duplications identified 34 (13.1%) variants with complex genomic structures as well as tandem (193/259, 74.5%) and NAHR- mediated (6/259, 2.3%) duplications. As whole genome sequencing-based studies expand in scale and reach, a continued focus on generating high-quality, standardized duplication data will be prerequisite to addressing their associated biological mechanisms. ii Acknowledgements I thank Dr. Stephen Scherer for his leadership par excellence, his generosity, and for giving me a chance. I am grateful for his investment and the opportunities afforded me, from which I have learned and benefited. I would next thank Drs. -
Supporting Information
Supporting Information Friedman et al. 10.1073/pnas.0812446106 SI Results and Discussion intronic miR genes in these protein-coding genes. Because in General Phenotype of Dicer-PCKO Mice. Dicer-PCKO mice had many many cases the exact borders of the protein-coding genes are defects in additional to inner ear defects. Many of them died unknown, we searched for miR genes up to 10 kb from the around birth, and although they were born at a similar size to hosting-gene ends. Out of the 488 mouse miR genes included in their littermate heterozygote siblings, after a few weeks the miRBase release 12.0, 192 mouse miR genes were found as surviving mutants were smaller than their heterozygote siblings located inside (distance 0) or in the vicinity of the protein-coding (see Fig. 1A) and exhibited typical defects, which enabled their genes that are expressed in the P2 cochlear and vestibular SE identification even before genotyping, including typical alopecia (Table S2). Some coding genes include huge clusters of miRNAs (in particular on the nape of the neck), partially closed eyelids (e.g., Sfmbt2). Other genes listed in Table S2 as coding genes are [supporting information (SI) Fig. S1 A and C], eye defects, and actually predicted, as their transcript was detected in cells, but weakness of the rear legs that were twisted backwards (data not the predicted encoded protein has not been identified yet, and shown). However, while all of the mutant mice tested exhibited some of them may be noncoding RNAs. Only a single protein- similar deafness and stereocilia malformation in inner ear HCs, coding gene that is differentially expressed in the cochlear and other defects were variable in their severity. -
Epigenome-450K-Wide Methylation Signatures of Active Cigarette Smoking: the Young Finns Study
Bioscience Reports (2020) 40 BSR20200596 https://doi.org/10.1042/BSR20200596 Research Article Epigenome-450K-wide methylation signatures of active cigarette smoking: The Young Finns Study Pashupati P. Mishra1,2,3,*, Ismo Hanninen¨ 1,2,3,*, Emma Raitoharju1,2,3, Saara Marttila1,2,3,4, Binisha H. Mishra1,2,3, Nina Mononen1,2,3,MikaKah¨ onen¨ 2,5, Mikko Hurme4,6, Olli Raitakari7,8,9, Petri Tor¨ onen¨ 10, Liisa Holm10,11 and Terho Lehtimaki¨ 1,2,3 Downloaded from http://portlandpress.com/bioscirep/article-pdf/40/7/BSR20200596/887717/bsr-2020-0596.pdf by guest on 27 September 2021 1Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 2Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 3Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland; 4Gerontology Research Center (GEREC), Tampere University, Tampere, Finland; 5Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland; 6Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; 7Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland; 8Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland; 9Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland; 10Institute of Biotechnology, Helsinki Institute of Life Sciences (HiLife), University of Helsinki, Helsinki, Finland; 11Organismal and Evolutionary Biology Research Program, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland Correspondence: Pashupati P. Mishra (pashupati.mishra@tuni.fi) Smoking as a major risk factor for morbidity affects numerous regulatory systems of the human body including DNA methylation. -
Unraveling the Specific Ischemic Core and Penumbra Transcriptome In
Microarrays 2015, 4, 2-24; doi:10.3390/microarrays4010002 OPEN ACCESS microarrays ISSN 2076-3905 www.mdpi.com/journal/microarrays Article Unraveling the Specific Ischemic Core and Penumbra Transcriptome in the Permanent Middle Cerebral Artery Occlusion Mouse Model Brain Treated with the Neuropeptide PACAP38 Motohide Hori 1,2, Tomoya Nakamachi 2,3, Junko Shibato 2,4, Randeep Rakwal 2,5,*, Seiji Shioda 2,* and Satoshi Numazawa 1 1 Division of Toxicology, Department of Pharmacology, Toxicology and Therapeutics, School of Pharmacy, Showa University, 1-5-8 Hatanodai, Shinagawa, Tokyo 142-8555, Japan; E-Mails: [email protected] (M.H.); [email protected] (S.N.) 2 Department of Anatomy, School of Medicine, Showa University, 1-5-8 Hatanodai, Shinagawa, Tokyo 142-8555, Japan; E-Mails: [email protected] (T.N.); [email protected] (J.S.) 3 Laboratory of Regulatory Biology, Graduate School of Science and Engineering, University of Toyama, Toyama, Toyama 930-8555, Japan 4 Laboratory of Exercise Biochemistry and Neuroendocrinology, Institute of Health and Sports Sciences, University of Tsukuba, Tsukuba, Ibaraki 305-8574, Japan 5 Organization for Educational Initiatives, University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki 305-8577, Japan * Authors to whom correspondence should be addressed; E-Mails: [email protected] (R.R.); [email protected] (S.S.); Tel.: +81-0-90-1853-7875 (R.R.); +81-0-3-3784-8103 (S.S.); Fax: +81-0-3-3784-6815 (S.S.). Academic Editor: Xin Ma Received: 31 October 2014 / Accepted: 15 January 2015 / Published: 21 January 2015 Abstract: Our group has been systematically investigating the effects of the neuropeptide pituitary adenylate-cyclase activating polypeptide (PACAP) on the ischemic brain. -
Mrna Expression in Human Leiomyoma and Eker Rats As Measured by Microarray Analysis
Table 3S: mRNA Expression in Human Leiomyoma and Eker Rats as Measured by Microarray Analysis Human_avg Rat_avg_ PENG_ Entrez. Human_ log2_ log2_ RAPAMYCIN Gene.Symbol Gene.ID Gene Description avg_tstat Human_FDR foldChange Rat_avg_tstat Rat_FDR foldChange _DN A1BG 1 alpha-1-B glycoprotein 4.982 9.52E-05 0.68 -0.8346 0.4639 -0.38 A1CF 29974 APOBEC1 complementation factor -0.08024 0.9541 -0.02 0.9141 0.421 0.10 A2BP1 54715 ataxin 2-binding protein 1 2.811 0.01093 0.65 0.07114 0.954 -0.01 A2LD1 87769 AIG2-like domain 1 -0.3033 0.8056 -0.09 -3.365 0.005704 -0.42 A2M 2 alpha-2-macroglobulin -0.8113 0.4691 -0.03 6.02 0 1.75 A4GALT 53947 alpha 1,4-galactosyltransferase 0.4383 0.7128 0.11 6.304 0 2.30 AACS 65985 acetoacetyl-CoA synthetase 0.3595 0.7664 0.03 3.534 0.00388 0.38 AADAC 13 arylacetamide deacetylase (esterase) 0.569 0.6216 0.16 0.005588 0.9968 0.00 AADAT 51166 aminoadipate aminotransferase -0.9577 0.3876 -0.11 0.8123 0.4752 0.24 AAK1 22848 AP2 associated kinase 1 -1.261 0.2505 -0.25 0.8232 0.4689 0.12 AAMP 14 angio-associated, migratory cell protein 0.873 0.4351 0.07 1.656 0.1476 0.06 AANAT 15 arylalkylamine N-acetyltransferase -0.3998 0.7394 -0.08 0.8486 0.456 0.18 AARS 16 alanyl-tRNA synthetase 5.517 0 0.34 8.616 0 0.69 AARS2 57505 alanyl-tRNA synthetase 2, mitochondrial (putative) 1.701 0.1158 0.35 0.5011 0.6622 0.07 AARSD1 80755 alanyl-tRNA synthetase domain containing 1 4.403 9.52E-05 0.52 1.279 0.2609 0.13 AASDH 132949 aminoadipate-semialdehyde dehydrogenase -0.8921 0.4247 -0.12 -2.564 0.02993 -0.32 AASDHPPT 60496 aminoadipate-semialdehyde -
STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma
STAT3 Targets Suggest Mechanisms of Aggressive Tumorigenesis in Diffuse Large B Cell Lymphoma Jennifer Hardee*,§, Zhengqing Ouyang*,1,2,3, Yuping Zhang*,4 , Anshul Kundaje*,†, Philippe Lacroute*, Michael Snyder*,5 *Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305; §Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520; and †Department of Computer Science, Stanford University School of Engineering, Stanford, CA 94305 1The Jackson Laboratory for Genomic Medicine, Farmington, CT 06030 2Department of Biomedical Engineering, University of Connecticut, Storrs, CT 06269 3Department of Genetics and Developmental Biology, University of Connecticut Health Center, Farmington, CT 06030 4Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06520 5Corresponding author: Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305. Email: [email protected] DOI: 10.1534/g3.113.007674 Figure S1 STAT3 immunoblotting and immunoprecipitation with sc-482. Western blot and IPs show a band consistent with expected size (88 kDa) of STAT3. (A) Western blot using antibody sc-482 versus nuclear lysates. Lanes contain (from left to right) lysate from K562 cells, GM12878 cells, HeLa S3 cells, and HepG2 cells. (B) IP of STAT3 using sc-482 in HeLa S3 cells. Lane 1: input nuclear lysate; lane 2: unbound material from IP with sc-482; lane 3: material IP’d with sc-482; lane 4: material IP’d using control rabbit IgG. Arrow indicates the band of interest. (C) IP of STAT3 using sc-482 in K562 cells. Lane 1: input nuclear lysate; lane 2: material IP’d using control rabbit IgG; lane 3: material IP’d with sc-482.