Gene Mapping and Medical Genetics
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Human Chromosome‐Specific Aneuploidy Is Influenced by DNA
Article Human chromosome-specific aneuploidy is influenced by DNA-dependent centromeric features Marie Dumont1,†, Riccardo Gamba1,†, Pierre Gestraud1,2,3, Sjoerd Klaasen4, Joseph T Worrall5, Sippe G De Vries6, Vincent Boudreau7, Catalina Salinas-Luypaert1, Paul S Maddox7, Susanne MA Lens6, Geert JPL Kops4 , Sarah E McClelland5, Karen H Miga8 & Daniele Fachinetti1,* Abstract Introduction Intrinsic genomic features of individual chromosomes can contri- Defects during cell division can lead to loss or gain of chromosomes bute to chromosome-specific aneuploidy. Centromeres are key in the daughter cells, a phenomenon called aneuploidy. This alters elements for the maintenance of chromosome segregation fidelity gene copy number and cell homeostasis, leading to genomic instabil- via a specialized chromatin marked by CENP-A wrapped by repeti- ity and pathological conditions including genetic diseases and various tive DNA. These long stretches of repetitive DNA vary in length types of cancers (Gordon et al, 2012; Santaguida & Amon, 2015). among human chromosomes. Using CENP-A genetic inactivation in While it is known that selection is a key process in maintaining aneu- human cells, we directly interrogate if differences in the centro- ploidy in cancer, a preceding mis-segregation event is required. It was mere length reflect the heterogeneity of centromeric DNA-depen- shown that chromosome-specific aneuploidy occurs under conditions dent features and whether this, in turn, affects the genesis of that compromise genome stability, such as treatments with micro- chromosome-specific aneuploidy. Using three distinct approaches, tubule poisons (Caria et al, 1996; Worrall et al, 2018), heterochro- we show that mis-segregation rates vary among different chromo- matin hypomethylation (Fauth & Scherthan, 1998), or following somes under conditions that compromise centromere function. -
Searching the Genomes of Inbred Mouse Strains for Incompatibilities That Reproductively Isolate Their Wild Relatives
Journal of Heredity 2007:98(2):115–122 ª The American Genetic Association. 2007. All rights reserved. doi:10.1093/jhered/esl064 For permissions, please email: [email protected]. Advance Access publication January 5, 2007 Searching the Genomes of Inbred Mouse Strains for Incompatibilities That Reproductively Isolate Their Wild Relatives BRET A. PAYSEUR AND MICHAEL PLACE From the Laboratory of Genetics, University of Wisconsin, Madison, WI 53706. Address correspondence to the author at the address above, or e-mail: [email protected]. Abstract Identification of the genes that underlie reproductive isolation provides important insights into the process of speciation. According to the Dobzhansky–Muller model, these genes suffer disrupted interactions in hybrids due to independent di- vergence in separate populations. In hybrid populations, natural selection acts to remove the deleterious heterospecific com- binations that cause these functional disruptions. When selection is strong, this process can maintain multilocus associations, primarily between conspecific alleles, providing a signature that can be used to locate incompatibilities. We applied this logic to populations of house mice that were formed by hybridization involving two species that show partial reproductive isolation, Mus domesticus and Mus musculus. Using molecular markers likely to be informative about species ancestry, we scanned the genomes of 1) classical inbred strains and 2) recombinant inbred lines for pairs of loci that showed extreme linkage disequi- libria. By using the same set of markers, we identified a list of locus pairs that displayed similar patterns in both scans. These genomic regions may contain genes that contribute to reproductive isolation between M. domesticus and M. -
16P11.2 Deletion Syndrome Guidebook
16p11.2 Deletion Syndrome Guidebook Page 1 Version 1.0, 12/11/2015 16p11.2 Deletion Syndrome Guidebook This guidebook was developed by the Simons VIP Connect Study Team to help you learn important information about living with the 16p11.2 deletion syndrome. Inside, you will find that we review everything from basic genetics and features of 16p11.2 deletion syndrome, to a description of clinical care and management considerations. - Simons VIP Connect Page 2 Version 1.0, 12/11/2015 Table of Contents How Did We Collect All of this Information? ................................................................................................ 4 What is Simons VIP Connect? ................................................................................................................... 4 What is the Simons Variation in Individuals Project (Simons VIP)? .......................................................... 5 Simons VIP Connect Research................................................................................................................... 5 Definition of 16p11.2 Deletion ..................................................................................................................... 6 What is a Copy Number Variant (CNV)? ................................................................................................... 7 Inheritance ................................................................................................................................................ 8 How is a 16p11.2 Deletion Found? .......................................................................................................... -
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. -
Definition of the Landscape of Promoter DNA Hypomethylation in Liver Cancer
Published OnlineFirst July 11, 2011; DOI: 10.1158/0008-5472.CAN-10-3823 Cancer Therapeutics, Targets, and Chemical Biology Research Definition of the Landscape of Promoter DNA Hypomethylation in Liver Cancer Barbara Stefanska1, Jian Huang4, Bishnu Bhattacharyya1, Matthew Suderman1,2, Michael Hallett3, Ze-Guang Han4, and Moshe Szyf1,2 Abstract We use hepatic cellular carcinoma (HCC), one of the most common human cancers, as a model to delineate the landscape of promoter hypomethylation in cancer. Using a combination of methylated DNA immunopre- cipitation and hybridization with comprehensive promoter arrays, we have identified approximately 3,700 promoters that are hypomethylated in tumor samples. The hypomethylated promoters appeared in clusters across the genome suggesting that a high-level organization underlies the epigenomic changes in cancer. In normal liver, most hypomethylated promoters showed an intermediate level of methylation and expression, however, high-CpG dense promoters showed the most profound increase in gene expression. The demethylated genes are mainly involved in cell growth, cell adhesion and communication, signal transduction, mobility, and invasion; functions that are essential for cancer progression and metastasis. The DNA methylation inhibitor, 5- aza-20-deoxycytidine, activated several of the genes that are demethylated and induced in tumors, supporting a causal role for demethylation in activation of these genes. Previous studies suggested that MBD2 was involved in demethylation of specific human breast and prostate cancer genes. Whereas MBD2 depletion in normal liver cells had little or no effect, we found that its depletion in human HCC and adenocarcinoma cells resulted in suppression of cell growth, anchorage-independent growth and invasiveness as well as an increase in promoter methylation and silencing of several of the genes that are hypomethylated in tumors. -
How Genes Work
Help Me Understand Genetics How Genes Work Reprinted from MedlinePlus Genetics U.S. National Library of Medicine National Institutes of Health Department of Health & Human Services Table of Contents 1 What are proteins and what do they do? 1 2 How do genes direct the production of proteins? 5 3 Can genes be turned on and off in cells? 7 4 What is epigenetics? 8 5 How do cells divide? 10 6 How do genes control the growth and division of cells? 12 7 How do geneticists indicate the location of a gene? 16 Reprinted from MedlinePlus Genetics (https://medlineplus.gov/genetics/) i How Genes Work 1 What are proteins and what do they do? Proteins are large, complex molecules that play many critical roles in the body. They do most of the work in cells and are required for the structure, function, and regulation of thebody’s tissues and organs. Proteins are made up of hundreds or thousands of smaller units called amino acids, which are attached to one another in long chains. There are 20 different types of amino acids that can be combined to make a protein. The sequence of amino acids determineseach protein’s unique 3-dimensional structure and its specific function. Aminoacids are coded by combinations of three DNA building blocks (nucleotides), determined by the sequence of genes. Proteins can be described according to their large range of functions in the body, listed inalphabetical order: Antibody. Antibodies bind to specific foreign particles, such as viruses and bacteria, to help protect the body. Example: Immunoglobulin G (IgG) (Figure 1) Enzyme. -
Rapid Molecular Assays to Study Human Centromere Genomics
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Method Rapid molecular assays to study human centromere genomics Rafael Contreras-Galindo,1 Sabrina Fischer,1,2 Anjan K. Saha,1,3,4 John D. Lundy,1 Patrick W. Cervantes,1 Mohamad Mourad,1 Claire Wang,1 Brian Qian,1 Manhong Dai,5 Fan Meng,5,6 Arul Chinnaiyan,7,8 Gilbert S. Omenn,1,9,10 Mark H. Kaplan,1 and David M. Markovitz1,4,11,12 1Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA; 2Laboratory of Molecular Virology, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay 11400; 3Medical Scientist Training Program, University of Michigan, Ann Arbor, Michigan 48109, USA; 4Program in Cancer Biology, University of Michigan, Ann Arbor, Michigan 48109, USA; 5Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109, USA; 6Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA; 7Michigan Center for Translational Pathology and Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; 8Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 9Department of Human Genetics, 10Departments of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA; 11Program in Immunology, University of Michigan, Ann Arbor, Michigan 48109, USA; 12Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan 48109, USA The centromere is the structural unit responsible for the faithful segregation of chromosomes. Although regulation of cen- tromeric function by epigenetic factors has been well-studied, the contributions of the underlying DNA sequences have been much less well defined, and existing methodologies for studying centromere genomics in biology are laborious. -
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. -
Comparative Mapping of DNA Markers from the Familial Alzheimer Mouse Chromosomes 16 and 17
Proc. Natl. Acad. Sci. USA Vol. 85, pp. 6032-6036, August 1988 Genetics Comparative mapping of DNA markers from the familial Alzheimer disease and Down syndrome regions of human chromosome 21 to mouse chromosomes 16 and 17 (restriction fragment length polymorphism/genetic linkage analysis/recombinant inbred strains/interspecific backcross) SHIRLEY V. CHENG*, JOSEPH H. NADEAUt, RUDOLPH E. TANZI*, PAUL C. WATKINSt, JAYASHREE JAGADESH*, BENJAMIN A. TAYLORt, JONATHAN L. HAINES*, NICOLETTA SACCHI§, AND JAMES F. GUSELLA* *Neurogenetics Laboratoiy, Massachusetts General Hospital and Department of Genetics, Harvard Medical School, Boston, MA 02114; tThe Jackson Laboratory, Bar Harbor, ME 04609; tIntegrated Genetics, Inc., 31 New York Avenue, Framingham, MA 01701; and §Laboratory of Molecular Oncology, National Cancer Institute, Frederick, MD 21701 Communicated by Elizabeth S. Russell, April 18, 1988 ABSTRACT Mouse trisomy 16 has been proposed as an mouse genome, mouse trisomy 16 has been used as an animal animal model of Down syndrome (DS), since this chromosome model of DS (9, 10). contains homologues of several loci from the q22 band of Interest in human chromosome 21 has increased with the human chromosome 21. The recent mapping of the defect recent localizations of the defect causing familial Alzheimer causing familial Alzheimer disease (FAD) and the locus encod- disease (FAD) and the gene (APP) encoding the precursor for ing the Alzheiner amyloid (3 precursor protein (APP) to human amyloid ,8 protein to the proximal half of 21q (11, 12). FAD chromosome 21 has prompted a more detailed examination of is the autosomal dominantly inherited form of the common the extent ofconservation ofthis linkage group between the two late-onset neurodegenerative disorder that results in the species. -
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,