Copy Number Variations in Saudi Family with Intellectual Disability and Epilepsy Muhammad I
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Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’S Biological Network Based on Systematic Pharmacology
ORIGINAL RESEARCH published: 25 June 2021 doi: 10.3389/fphar.2021.601846 Exploring the Regulatory Mechanism of Hedysarum Multijugum Maxim.-Chuanxiong Rhizoma Compound on HIF-VEGF Pathway and Cerebral Ischemia-Reperfusion Injury’s Biological Network Based on Systematic Pharmacology Kailin Yang 1†, Liuting Zeng 1†, Anqi Ge 2†, Yi Chen 1†, Shanshan Wang 1†, Xiaofei Zhu 1,3† and Jinwen Ge 1,4* Edited by: 1 Takashi Sato, Key Laboratory of Hunan Province for Integrated Traditional Chinese and Western Medicine on Prevention and Treatment of 2 Tokyo University of Pharmacy and Life Cardio-Cerebral Diseases, Hunan University of Chinese Medicine, Changsha, China, Galactophore Department, The First 3 Sciences, Japan Hospital of Hunan University of Chinese Medicine, Changsha, China, School of Graduate, Central South University, Changsha, China, 4Shaoyang University, Shaoyang, China Reviewed by: Hui Zhao, Capital Medical University, China Background: Clinical research found that Hedysarum Multijugum Maxim.-Chuanxiong Maria Luisa Del Moral, fi University of Jaén, Spain Rhizoma Compound (HCC) has de nite curative effect on cerebral ischemic diseases, *Correspondence: such as ischemic stroke and cerebral ischemia-reperfusion injury (CIR). However, its Jinwen Ge mechanism for treating cerebral ischemia is still not fully explained. [email protected] †These authors share first authorship Methods: The traditional Chinese medicine related database were utilized to obtain the components of HCC. The Pharmmapper were used to predict HCC’s potential targets. Specialty section: The CIR genes were obtained from Genecards and OMIM and the protein-protein This article was submitted to interaction (PPI) data of HCC’s targets and IS genes were obtained from String Ethnopharmacology, a section of the journal database. -
Efficient Analysis of Mouse Genome Sequences Reveal Many Nonsense Variants
Efficient analysis of mouse genome sequences reveal many nonsense variants Sophie Steelanda,b,1, Steven Timmermansa,b,1, Sara Van Ryckeghema,b, Paco Hulpiaua,b, Yvan Saeysa,c, Marc Van Montagud,e,f,2, Roosmarijn E. Vandenbrouckea,b,3, and Claude Liberta,b,2,3 aInflammation Research Center, Flanders Institute for Biotechnology (VIB), 9052 Ghent, Belgium; bDepartment of Biomedical Molecular Biology, Ghent University, 9052 Ghent, Belgium; cDepartment of Internal Medicine, Ghent University, 9052 Ghent, Belgium; dDepartment of Plant Systems Biology, VIB, 9052 Ghent, Belgium; eDepartment of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Ghent, Belgium; and fInternational Plant Biotechnology Outreach, VIB, Ghent, Belgium Contributed by Marc Van Montagu, March 30, 2016 (sent for review December 31, 2015; reviewed by Bruce Beutler, Stefano Bruscoli, Stefan Rose-John, and Klaus Schulze-Osthoff) Genetic polymorphisms in coding genes play an important role alive, archiving them, and distributing mutant strains to in- when using mouse inbred strains as research models. They have terested users (4). been shown to influence research results, explain phenotypical Since Clarence Little showed in the early 20th century that the differences between inbred strains, and increase the amount of principle of inbreeding also applies to mice, several hundred interesting gene variants present in the many available inbred inbred mouse strains have been generated (5). Some of these lines. SPRET/Ei is an inbred strain derived from Mus spretus that strains display specific phenotypes that are the result of a mutant has ∼1% sequence difference with the C57BL/6J reference ge- gene, and in several cases have formed the basis for identifying nome. -
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. -
(12) United States Patent (10) Patent No.: US 7.873,482 B2 Stefanon Et Al
US007873482B2 (12) United States Patent (10) Patent No.: US 7.873,482 B2 Stefanon et al. (45) Date of Patent: Jan. 18, 2011 (54) DIAGNOSTIC SYSTEM FOR SELECTING 6,358,546 B1 3/2002 Bebiak et al. NUTRITION AND PHARMACOLOGICAL 6,493,641 B1 12/2002 Singh et al. PRODUCTS FOR ANIMALS 6,537,213 B2 3/2003 Dodds (76) Inventors: Bruno Stefanon, via Zilli, 51/A/3, Martignacco (IT) 33035: W. Jean Dodds, 938 Stanford St., Santa Monica, (Continued) CA (US) 90403 FOREIGN PATENT DOCUMENTS (*) Notice: Subject to any disclaimer, the term of this patent is extended or adjusted under 35 WO WO99-67642 A2 12/1999 U.S.C. 154(b) by 158 days. (21)21) Appl. NoNo.: 12/316,8249 (Continued) (65) Prior Publication Data Swanson, et al., “Nutritional Genomics: Implication for Companion Animals'. The American Society for Nutritional Sciences, (2003).J. US 2010/O15301.6 A1 Jun. 17, 2010 Nutr. 133:3033-3040 (18 pages). (51) Int. Cl. (Continued) G06F 9/00 (2006.01) (52) U.S. Cl. ........................................................ 702/19 Primary Examiner—Edward Raymond (58) Field of Classification Search ................... 702/19 (74) Attorney, Agent, or Firm Greenberg Traurig, LLP 702/23, 182–185 See application file for complete search history. (57) ABSTRACT (56) References Cited An analysis of the profile of a non-human animal comprises: U.S. PATENT DOCUMENTS a) providing a genotypic database to the species of the non 3,995,019 A 1 1/1976 Jerome human animal Subject or a selected group of the species; b) 5,691,157 A 1 1/1997 Gong et al. -
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. -
Gene Annotation
Gene Annotation Contributions from Carlo Colantuoni and Robert Gentleman What We Are Going To Cover Cells, Genes, Transcripts –> Genomics Experiments Sequence Knowledge Behind Genomics Experiments Annotation of Genes in Genomics Experiments Biological Setup Every cell in the human body contains the entire human genome: 3.3 Gb or ~30K genes. The investigation of gene expression is meaningful because different cells, in different environments, doing different jobs express different genes. Tasks necessary for gene expression analysis: Define what a gene is. Identify genes in a sea of genomic DNA where <3% of DNA is contained in genes. Design and implement probes that will effectively assay expression of ALL (most? many?) genes simultaneously. Cross-reference these probes. 1 Cellular Biology, Gene Expression, and Microarray Analysis DNA RNA Protein Gene: Protein coding unit of genomic DNA with an mRNA intermediate. ~30K genes DNA Sequence is a Necessity Probe START protein coding STOP mRNA AAAAA 5’ UTR 3’ UTR Genomic DNA 3.3 Gb From Genomic DNA to mRNA Transcripts EXONS INTRONS Protein-coding genes are not easy to find - gene density is low, and exons are interrupted by introns. ~30K >30K Alternative splicing Alternative start & stop sites in same RNA molecule RNA editing & SNPs Transcript coverage Homology to other transcripts Hybridization dynamics 3’ bias 2 Unsurpassed as source of expressed sequence Sequence Quality! Redundancy! Completeness? Chaos?!? From Genomic DNA to mRNA Transcripts ~30K >30K >>30K Transcript-Based Gene-Centered Information 3 Design of Gene Expression Probes Content: UniGene, Incyte, Celera Expressed vs. Genomic Source: cDNA libraries, clone collections, oligos Cross-referencing of array probes (across platforms): Sequence <> GenBank <> UniGene <> HomoloGene Possible mis-referencing: Genomic GenBank Acc.#’s Referenced ID has more NT’s than probe Old DB builds DB or table errors – copying and pasting 30K rows in excel … Using RefSeq’s can help. -
Snps in Genes Coding for ROS Metabolism and Signalling in Association with Docetaxel Clearance
The Pharmacogenomics Journal (2010) 10, 513–523 & 2010 Macmillan Publishers Limited. All rights reserved 1470-269X/10 www.nature.com/tpj ORIGINAL ARTICLE SNPs in genes coding for ROS metabolism and signalling in association with docetaxel clearance H Edvardsen1,2, PF Brunsvig3, The dose of docetaxel is currently calculated based on body surface area 1,4 5 and does not reflect the pharmacokinetic, metabolic potential or genetic H Solvang , A Tsalenko , background of the patients. The influence of genetic variation on the 6 7 A Andersen , A-C Syvanen , clearance of docetaxel was analysed in a two-stage analysis. In step one, 583 Z Yakhini5, A-L Børresen-Dale1,2, single-nucleotide polymorphisms (SNPs) in 203 genes were genotyped on H Olsen6, S Aamdal3 and samples from 24 patients with locally advanced non-small cell lung cancer. 1,2 We found that many of the genes harbour several SNPs associated with VN Kristensen clearance of docetaxel. Most notably these were four SNPs in EGF, three SNPs 1Department of Genetics, Institute of Cancer in PRDX4 and XPC, and two SNPs in GSTA4, TGFBR2, TNFAIP2, BCL2, DPYD Research, Oslo University Hospital Radiumhospitalet, and EGFR. The multiple SNPs per gene suggested the existence of common Oslo, Norway; 2Institute of Clinical Medicine, haplotypes associated with clearance. These were confirmed with detailed 3 University of Oslo, Oslo, Norway; Cancer Clinic, haplotype analysis. On the basis of analysis of variance (ANOVA), quantitative Oslo University Hospital Radiumhospitalet, Oslo, Norway; 4Institute of