Haptoglobin Polymorphisms in Latin American Populations Mikiko Soejima & Yoshiro Koda*
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Early Diagnosis of Colorectal Cancer Via Plasma Proteomic Analysis of CRC and Advanced Adenomatous Polyp
Gastroenterology and Hepatology From Bed to Bench. ORIGINAL ARTICLE ©2019 RIGLD, Research Institute for Gastroenterology and Liver Diseases Early diagnosis of colorectal cancer via plasma proteomic analysis of CRC and advanced adenomatous polyp Setareh Fayazfar1, Hakimeh Zali2, Afsaneh Arefi Oskouie1, Hamid Asadzadeh Aghdaei3, Mostafa Rezaei Tavirani4, Ehsan Nazemalhosseini Mojarad5 1Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran 2School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran 3Basic and Molecular Epidemiology of Gastroenterology Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran 4Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran 5Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran ABSTRACT Aim: This paper aimed to identify new candidate biomarkers in blood for early diagnosis of CRC. Background: Colorectal cancer (CRC) is the third most widespread malignancies increasing globally. The high mortality rate associated with colorectal cancer is due to the delayed diagnosis in an advanced stage while the metastasis has occurred. For better clinical management and subsequently to reduce mortality of CRC, early detection biomarkers are in high demand. -
High-Throughput Bioinformatics Approaches to Understand Gene Expression Regulation in Head and Neck Tumors
High-throughput bioinformatics approaches to understand gene expression regulation in head and neck tumors by Yanxiao Zhang A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2016 Doctoral Committee: Associate Professor Maureen A. Sartor, Chair Professor Thomas E. Carey Assistant Professor Hui Jiang Professor Ronald J. Koenig Associate Professor Laura M. Rozek Professor Kerby A. Shedden c Yanxiao Zhang 2016 All Rights Reserved I dedicate this thesis to my family. For their unfailing love, understanding and support. ii ACKNOWLEDGEMENTS I would like to express my gratitude to Dr. Maureen Sartor for her guidance in my research and career development. She is a great mentor. She patiently taught me when I started new in this field, granted me freedom to explore and helped me out when I got lost. Her dedication to work, enthusiasm in teaching, mentoring and communicating science have inspired me to feel the excite- ment of research beyond novel scientific discoveries. I’m also grateful to have an interdisciplinary committee. Their feedback on my research progress and presentation skills is very valuable. In particular, I would like to thank Dr. Thomas Carey and Dr. Laura Rozek for insightful discussions on the biology of head and neck cancers and human papillomavirus, Dr. Ronald Koenig for expert knowledge on thyroid cancers, Dr. Hui Jiang and Dr. Kerby Shedden for feedback on the statistics part of my thesis. I would like to thank all the past and current members of Sartor lab for making the lab such a lovely place to stay and work in. -
Gene Mapping and Medical Genetics
J Med Genet: first published as 10.1136/jmg.24.8.451 on 1 August 1987. Downloaded from Gene mapping and medical genetics Journal of Medical Genetics 1987, 24, 451-456 Molecular genetics of human chromosome 16 GRANT R SUTHERLAND*, STEPHEN REEDERSt, VALENTINE J HYLAND*, DAVID F CALLEN*, ANTONIO FRATINI*, AND JOHN C MULLEY* From *the Cytogenetics Unit, Adelaide Children's Hospital, North Adelaide, South Australia 5006; and tUniversity of Oxford, Nuffield Department of Clinical Medicine, John Radcliffe Hospital, Headington, Oxford OX3 9DU. SUMMARY The major diseases mapped to chromosome 16 are adult polycystic kidney disease and those resulting from mutations in the a globin complex. There are at least six other less important genetic diseases which map to this chromosome. The adenine phosphoribosyltransferase gene allows for selection of chromosome 16 in somatic cell hybrids and a hybrid panel is available which segments the chromosome into six regions to facilitate gene mapping. Genes which have been mapped to this chromosome or which have had their location redefined since HGM8 include APRT, TAT, MT, HBA, PKDI, CTRB, PGP, HAGH, HP, PKCB, and at least 19 cloned DNA sequences. There are RFLPs at 13 loci which have been regionally mapped and can be used for linkage studies. Chromosome 16 is not one of the more extensively have been cloned and mapped to this chromosome. mapped human autosomes. However, it has a Brief mention will be made of a hybrid cell panel http://jmg.bmj.com/ number of features which make it attractive to the which allows for an efficient regional localisation of gene mapper. -
The T(6;16)(P21;Q22) Chromosome Translocation in the Lncap Prostate Carcinoma Cell Line Results in a Tpc/Hpr Fusion Gene'
CANCERRESEARCH56.728-732.February15. 9961 Advances in Brief The t(6;16)(p21;q22) Chromosome Translocation in the LNCaP Prostate Carcinoma Cell Line Results in a tpc/hpr Fusion Gene' Maria Luisa Veronese, Florencia Bulinch, Massimo Negrini, and Carlo M. Croce2 Jefferson Cancer Center, Jefferson Cancer Institute and Department of Microbiology and Immunology, Thomas Jefferson University, Philadelphia, Pennsylvania 19107 Abstract level. We have found that the translocation results in fusion of the hpr gene on chromosome 16 to the tpc gene, a novel gene coding for a Very little is known about the molecular and genetic mechanisms protein similar to nbosomal protein 510. involved in prostate cancer.Previousstudieshaveshownfrequent lossof heterozygosity(40%)at chromosomalregions8p, lOq,and 16q,suggesting thepresenceoftumorsuppressorgenesintheseregions.TheLNCaP cell Materials and Methods line, establishedfrom a metastaticlesionof human prostatic adenocarci Rodent-Human Hybrids. The hybrids seriesA9LN were obtainedfrom noma,carries a t(6;16)(p21;q22)translocation.To determinewhether this translocation involved genesimportant in the processof malignant trans thefusionof thehumanprostatecarcinomacellline LNCaPandthemouseA9 formation, weclonedand sequencedthet(6;16) breakpoint ofthis cell line. cell line as previously described (15). PCR analysis with primers from both the Sequenceanalysisshowedthat the breakpoint is within the haptoglobin shortandlongarmsof chromosome16wascarriedout in 1 X PCRbufferwith geneclusteron chromosome16,and that, on chromosome6,the break MgCI2 (Boehringer Mannheim) with 100 ng template DNA, 100 ng each of occurs within a novel gene,tpc, similar to the prokaryotic SlO ribosomal forward and reverseprimer, 250 @Mdeoxynucleotidetriphosphates(Perkin protein gene. The translocation results in the production of a fusion Elmer/Cetus), and 0.5 units of Taq DNA polymerase (Boehringer Mannheim) transcript, tpc/hpr. -
Predicting Environmental Chemical Factors Associated with Disease-Related Gene Expression Data
UCSF UC San Francisco Previously Published Works Title Predicting environmental chemical factors associated with disease-related gene expression data. Permalink https://escholarship.org/uc/item/1kj3j6m8 Journal BMC medical genomics, 3(1) ISSN 1755-8794 Authors Patel, Chirag J Butte, Atul J Publication Date 2010-05-06 DOI 10.1186/1755-8794-3-17 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Patel and Butte BMC Medical Genomics 2010, 3:17 http://www.biomedcentral.com/1755-8794/3/17 RESEARCH ARTICLE Open Access PredictingResearch article environmental chemical factors associated with disease-related gene expression data Chirag J Patel1,2,3 and Atul J Butte*1,2,3 Abstract Background: Many common diseases arise from an interaction between environmental and genetic factors. Our knowledge regarding environment and gene interactions is growing, but frameworks to build an association between gene-environment interactions and disease using preexisting, publicly available data has been lacking. Integrating freely-available environment-gene interaction and disease phenotype data would allow hypothesis generation for potential environmental associations to disease. Methods: We integrated publicly available disease-specific gene expression microarray data and curated chemical- gene interaction data to systematically predict environmental chemicals associated with disease. We derived chemical- gene signatures for 1,338 chemical/environmental chemicals from the Comparative Toxicogenomics Database (CTD). We associated these chemical-gene signatures with differentially expressed genes from datasets found in the Gene Expression Omnibus (GEO) through an enrichment test. Results: We were able to verify our analytic method by accurately identifying chemicals applied to samples and cell lines. Furthermore, we were able to predict known and novel environmental associations with prostate, lung, and breast cancers, such as estradiol and bisphenol A. -
Bolton Et Al. Supplement
Bolton_et_al._Supplement SUPPLEMENTAL RESULTS AND DISCUSSION Some HPr-1AR ARE-containing Genes Are Unresponsive to Androgen Intracellular receptors specify complex patterns of gene expression that are cell and gene specific. For example, among the 62 androgen non-responsive genes in HPr-1AR that nevertheless bear AR-occupied intragenic AREs in those cells, seven are androgen regulated in LNCaP cells (DePrimo et al. 2002; Nelson et al. 2002). In general, it seems likely that many of these AR binding sites may confer androgen responses in different cellular contexts, reflecting, for example, requirements for additional coregulators to enable hormonal control. Thus, for this subset of genes, AR occupancy is not the primary determinant for AR regulation. Alternatively, some of these AR-occupied genes may be strongly expressed prior to androgen treatment, rendering their induction difficult to measure. However, our qPCR expression data do not support this alternative. ARBRs Function as AREs in Androgen-Mediated Transcriptional Regulation Interestingly, four of the 500-bp ARBRs identified near repressed ARGs produced activation rather than repression of luciferase expression when tested in reporter contexts, whereas three failed to confer androgen regulation in either direction (ECB and KRY, unpublished). Although we do not yet understand this regulatory “polarity reversal”, our result is similar to earlier findings in which “negative” glucocortoicoid response elements direct transcriptional activation in simple contexts (M. Cronin and KRY, -
Selection of Antigens for Antibody-Based Proteomics
SELECTION OF ANTIGENS FOR ANTIBODY-BASED PROTEOMICS Lisa Berglund Royal Institute of Technology School of Biotechnology Stockholm 2008 © Lisa Berglund, 2008 ISBN 978-91-7178-930-3 TRITA-BIO-Report 2008:5 ISSN 1654-2312 School of Biotechnology Royal Institute of Technology AlbaNova University Center SE-106 91 Stockholm, Sweden Printed at Universitetsservice US-AB Box 700 14 Stockholm, Sweden Ju mer jag vet, desto mer förstår jag att jag inte vet. ABSTRACT The human genome is predicted to contain ~20,500 protein-coding genes. The encoded proteins are the key players in the body, but the functions and localizations of most proteins are still unknown. Antibody-based proteomics has great potential for exploration of the protein complement of the human genome, but there are antibodies only to a very limited set of proteins. The Human Proteome Resource (HPR) project was launched in August 2003, with the aim to generate high-quality specific antibodies towards the human proteome, and to use these antibodies for large-scale protein profiling in human tissues and cells. The goal of the work presented in this thesis was to evaluate if antigens can be selected, in a high-throughput manner, to enable generation of specific antibodies towards one protein from every human gene. A computationally intensive analysis of potential epitopes in the human proteome was performed and showed that it should be possible to find unique epitopes for most human proteins. The result from this analysis was implemented in a new web-based visualization tool for antigen selection. Predicted protein features important for antigen selection, such as transmembrane regions and signal peptides, are also displayed in the tool. -
BMC Bioinformatics Biomed Central
BMC Bioinformatics BioMed Central Database Open Access AbMiner: A bioinformatic resource on available monoclonal antibodies and corresponding gene identifiers for genomic, proteomic, and immunologic studies Sylvia M Major1,4, Satoshi Nishizuka1,5,6, Daisaku Morita1,7, Rick Rowland2, Margot Sunshine3, Uma Shankavaram1, Frank Washburn1,8, Daniel Asin1,9, Hosein Kouros-Mehr1,10, David Kane3 and John N Weinstein*1 Address: 1Genomics and Bioinformatics Group, Laboratory of Molecular Pharmacology, National Cancer Institute, National Institutes of Health, Bethesda, USA, 2Center for Information Technology, National Institutes of Health, Bethesda, USA, 3SRA International, 4300 Fair Lakes Court, Fairfax, USA, 4University of California at Los Angeles, Department of Ecology and Evolutionary Biology, Los Angeles, USA, 5Molecular Translational Technology, Molecular Therapeutics Program, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, USA, 6Laboratory of Proteomics and Analytical Technologies, Research Technology Program, National Cancer Institute, SAIC-Frederick, Frederic, USA, 7Department of Pathology II, National Defense Medical College, Namiki 3-2, Tokorozawa, Japan, 8Harvard University, Cambridge, USA, 9Washington University, St. Louis, USA and 10Department of Anatomy, University of California, San Francisco, San Francisco, Email: Sylvia M Major - [email protected]; Satoshi Nishizuka - [email protected]; Daisaku Morita - [email protected]; Rick Rowland - [email protected]; Margot Sunshine -
A Network Inference Approach to Understanding Musculoskeletal
A NETWORK INFERENCE APPROACH TO UNDERSTANDING MUSCULOSKELETAL DISORDERS by NIL TURAN A thesis submitted to The University of Birmingham for the degree of Doctor of Philosophy College of Life and Environmental Sciences School of Biosciences The University of Birmingham June 2013 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Musculoskeletal disorders are among the most important health problem affecting the quality of life and contributing to a high burden on healthcare systems worldwide. Understanding the molecular mechanisms underlying these disorders is crucial for the development of efficient treatments. In this thesis, musculoskeletal disorders including muscle wasting, bone loss and cartilage deformation have been studied using systems biology approaches. Muscle wasting occurring as a systemic effect in COPD patients has been investigated with an integrative network inference approach. This work has lead to a model describing the relationship between muscle molecular and physiological response to training and systemic inflammatory mediators. This model has shown for the first time that oxygen dependent changes in the expression of epigenetic modifiers and not chronic inflammation may be causally linked to muscle dysfunction. -
Copy Number Variations in Saudi Family with Intellectual Disability and Epilepsy Muhammad I
The Author(s) BMC Genomics 2016, 17(Suppl 9):757 DOI 10.1186/s12864-016-3091-6 RESEARCH Open Access Copy number variations in Saudi family with intellectual disability and epilepsy Muhammad I. Naseer1*, Adeel G. Chaudhary1, Mahmood Rasool1, Gauthaman Kalamegam1, Fai T. Ashgan1, Mourad Assidi1, Farid Ahmed1, Shakeel A. Ansari1, Syed Kashif Zaidi1, Mohammed M. Jan2 and Mohammad H. Al-Qahtani1 From 3rd International Genomic Medicine Conference Jeddah, Saudi Arabia. 30 November - 3 December 2015 Abstract Background: Epilepsy is genetically complex but common brain disorder of the world affecting millions of people with almost of all age groups. Novel Copy number variations (CNVs) are considered as important reason for the numerous neurodevelopmental disorders along with intellectual disability and epilepsy. DNA array based studies contribute to explain a more severe clinical presentation of the disease but interoperation of many detected CNVs are still challenging. Results: In order to study novel CNVs with epilepsy related genes in Saudi family with six affected and two normal individuals with several forms of epileptic seizures, intellectual disability (ID), and minor dysmorphism, we performed the high density whole genome Agilent sure print G3 Hmn CGH 2x 400 K array-CGH chips analysis. Our results showed de novo deletions, duplications and deletion plus duplication on differential chromosomal regions in the affected individuals that were not shown in the normal fathe and normal kids by using Agilent CytoGenomics 3.0.6.6 softwear. Copy number gain were observed in the chromosome 1, 16 and 22 with LCE3C, HPR, GSTT2, GSTTP2, DDT and DDTL genes respectively whereas the deletions observed in the chromosomal regions 8p23-p21 (4303127–4337759) and the potential gene in this region is CSMD1 (OMIM: 612279). -
Epigenetic Distribution of Recombinant Plant Chromosome Fragments in a Human–Arabidopsis Hybrid Cell Line
International Journal of Molecular Sciences Article Epigenetic Distribution of Recombinant Plant Chromosome Fragments in a Human–Arabidopsis Hybrid Cell Line YengMun Liaw 1,†, Yikun Liu 1,†, CheeHow Teo 2, Petr Cápal 3, Naoki Wada 4 , Kiichi Fukui 5, Jaroslav Doležel 3 and Nobuko Ohmido 1,* 1 Graduate School of Human Development and Environment, Kobe University, Kobe, Hyogo 657-8501, Japan; [email protected] (Y.L.); [email protected] (Y.L.) 2 Centre for Research in Biotechnology for Agriculture, Universiti Malaya, Lembah Pantai, Kuala Lumpur 50603, Malaysia; [email protected] 3 Institute of Experimental Botany of the Czech Academy of Sciences, Centre of the Region Hana for Biotechnological and Agricultural Research, Šlechtitel ˚u31, 779 00 Olomouc, Czech Republic; [email protected] (P.C.); [email protected] (J.D.) 4 Graduate School of Technology, Industrial and Social Sciences, Tokushima University, Kuramoto, Tokushima 770-8503, Japan; [email protected] 5 Graduate School of Pharmaceutical Sciences, Osaka University, Suita, Osaka 565-0871, Japan; [email protected] * Correspondence: [email protected]; Tel.: +81-78-803-7763 † These authors contributed equally to this work. Abstract: Methylation systems have been conserved during the divergence of plants and animals, although they are regulated by different pathways and enzymes. However, studies on the interactions Citation: Liaw, Y.; Liu, Y.; Teo, C.; of the epigenomes among evolutionarily distant organisms are lacking. To address this, we studied Cápal, P.; Wada, N.; Fukui, K.; the epigenetic modification and gene expression of plant chromosome fragments (~30 Mb) in a Doležel, J.; Ohmido, N. -
Development and Characterization of Cdna Resources for the Common Marmoset: One of the Experimental Primate Models
DNA RESEARCH 20, 255–262, (2013) doi:10.1093/dnares/dst007 Advance Access publication on 29 March 2013 Development and Characterization of cDNA Resources for the Common Marmoset: One of the Experimental Primate Models } SHOJI Tatsumoto1,†,NAOKI Adati1,‡,YASUSHI Tohtoki1, ,YOSHIYUKI Sakaki1,§,THORSTEN Boroviak2, SONOKO Habu3,HIDEYUKI Okano4,HIROSHI Suemizu5,ERIKA Sasaki6, and MASANOBU Satake7,* RIKEN Genomic Sciences Center, Suehiro-cho 1-7-22, Tsurumi-ku, Yokohama 230-0045, Japan1; Centre for Stem Cell Research, Wellcome Trust and Medical Research Council Stem Cell Institute, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK2; Department of Immunology, Juntendo University School of Medicine, Hongo 2-1-1, Bunkyo-ku, Tokyo 113-8421, Japan3; Department of Physiology, School of Medicine, Keio University, Shinano-machi 35, Shinjyuku-ku, Tokyo 160-8582, Japan4; Biomedical Research Department, Central Institute for Experimental Animals, Tonomachi 3-25-12, Kawasaki-ku, Kawasaki 210-0821, Japan5; Department of Applied Developmental Biology, Central Institute for Experimental Animals, Tonomachi 3-25-12, Kawasaki-ku, Kawasaki 210-0821, Japan6 and Institute of Development, Aging and Cancer, Tohoku University, Seiryo-machi 4-1, Aoba-ku, Sendai 980-8575, Japan7 *To whom correspondence should be addressed. Tel. þ81-22-717-8477. Fax. þ81-22-717-8482. Email: [email protected] Edited by Dr Toshihiko Shiroishi (Received 9 May 2012; accepted 1 March 2013) Abstract The common marmoset is a new world monkey, which has become a valuable experimental animal for biomedical research. This study developed cDNA libraries for the common marmoset from five different tissues. A total of 290 426 high-quality EST sequences were obtained, where 251 587 sequences (86.5%) had homology (1E2100) with the Refseqs of six different primate species, including human and marmoset.