The Role of Single-Nucleotide Polymorphism (Snps) in Toxicity Of
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Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties.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 Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
VU Research Portal
VU Research Portal Genetic architecture and behavioral analysis of attention and impulsivity Loos, M. 2012 document version Publisher's PDF, also known as Version of record Link to publication in VU Research Portal citation for published version (APA) Loos, M. (2012). Genetic architecture and behavioral analysis of attention and impulsivity. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. E-mail address: [email protected] Download date: 28. Sep. 2021 Genetic architecture and behavioral analysis of attention and impulsivity Maarten Loos 1 About the thesis The work described in this thesis was performed at the Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, The Netherlands. This work was in part funded by the Dutch Neuro-Bsik Mouse Phenomics consortium. The Neuro-Bsik Mouse Phenomics consortium was supported by grant BSIK 03053 from SenterNovem (The Netherlands). -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
Otitis Media
ENT FEATURE Discovery in the genetics of complex disease: Otitis media BY SARRA E JAMIESON titis media (OM), a common suggests that the SNP either directly (i.e. Odds Ratio [OR] ≤1.5) expected to disease of childhood, is increases risk of the disease (i.e. it is a contribute to a complex trait such considered to be a complex causal variant) or that it is in linkage as OM. Otrait with multiple genetic disequilibrium (LD) with the true Regardless of the study design and environmental factors expected to causal variant. chosen, it is essential that replication contribute to a child’s risk of developing The alternative approach has been studies are subsequently performed recurrent acute OM (rAOM; ≥3 episodes to interrogate the whole genome using to reduce the number of false in 6 months or ≥4 episodes in a year) either a genome-wide linkage study positive genetic risk factors reported. or chronic OM with effusion (COME; (GWLS) or a genome-wide association Replication is ideally performed in persistent middle ear fluid for ≥3 study (GWAS) design. In a GWLS an independent case/control sample months). Heritability studies confirm hundreds of microsatellite markers drawn from the same population that the genetic component is likely to or thousands of SNPs spaced evenly uses a comparable phenotype and be substantial, explaining 40-70% of across the genome are genotyped in which is of sufficient size to replicate the variation in OM phenotype [1]. In sets of affected relatives to identify the genetic effect size observed in the order to identify the genes involved regions that are co-inherited due to original analysis. -
The Long Non-Coding RNA GHSROS Reprograms Prostate Cancer Cell Lines Toward a More Aggressive Phenotype
bioRxiv preprint doi: https://doi.org/10.1101/682203; this version posted June 26, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 The long non-coding RNA GHSROS reprograms prostate cancer cell lines 2 toward a more aggressive phenotype 3 4 Patrick B. Thomas1,2,3, Penny L. Jeffery1,2,3, Manuel D. Gahete4,5,6,7,8, Eliza J. Whiteside9,10,†, 5 Carina Walpole1,3, Michelle L. Maugham1,2,3, Lidija Jovanovic3, Jennifer H. Gunter3, 6 Elizabeth D. Williams3, Colleen C. Nelson3, Adrian C. Herington1,3, Raúl M. Luque4,5,6,7,8, 7 Rakesh N. Veedu11, Lisa K. Chopin1,2,3,*, Inge Seim1,2,3,12,* 8 9 1 Ghrelin Research Group, Translational Research Institute- Institute of Health and 10 Biomedical Innovation, School of Biomedical Sciences, Queensland University of 11 Technology (QUT), Woolloongabba, Queensland 4102, Australia. 12 2 Comparative and Endocrine Biology Laboratory, Translational Research Institute-Institute 13 of Health and Biomedical Innovation, School of Biomedical Sciences, Queensland 14 University of Technology, Woolloongabba, Queensland 4102, Australia. 15 3 Australian Prostate Cancer Research Centre–Queensland, Institute of Health and 16 Biomedical Innovation, School of Biomedical Sciences, Queensland University of 17 Technology (QUT), Princess Alexandra Hospital, Translational Research Institute, 18 Woolloongabba, Queensland 4102, Australia. 19 4 Maimonides Institute of Biomedical Research of Cordoba (IMIBIC), Córdoba, 14004, 20 Spain. 21 5 Department of Cell Biology, Physiology and Immunology, University of Córdoba, Córdoba, 22 14004, Spain. -
Novel Computational Analysis of Large Transcriptome Datasets Identifies
www.nature.com/scientificreports OPEN Novel computational analysis of large transcriptome datasets identifes sets of genes distinguishing chronic obstructive pulmonary disease from healthy lung samples Fabienne K. Roessler1, Birke J. Benedikter2,3, Bernd Schmeck2,4,5,6 & Nadav Bar1* Chronic obstructive pulmonary disease (COPD) kills over three million people worldwide every year. Despite its high global impact, the knowledge about the underlying molecular mechanisms is still limited. In this study, we aimed to extend the available knowledge by identifying a small set of COPD-associated genes. We analysed diferent publicly available gene expression datasets containing whole lung tissue (WLT) and airway epithelium (AE) samples from over 400 human subjects for diferentially expressed genes (DEGs). We reduced the resulting sets of 436 and 663 DEGs using a novel computational approach that utilises a random depth-frst search to identify genes which improve the distinction between COPD patients and controls along the frst principle component of the data. Our method identifed small sets of 10 and 15 genes in the WLT and AE, respectively. These sets of genes signifcantly (p < 10 –20) distinguish COPD patients from controls with high fdelity. The fnal sets revealed novel genes like cysteine rich protein 1 (CRIP1) or secretoglobin family 3A member 2 (SCGB3A2) that may underlie fundamental molecular mechanisms of COPD in these tissues. Abbreviations COPD Chronic obstructive pulmonary disease WLT Whole lung tissue AE Airway epithelium SAE Small airway epithelium FS Former smoker CS Current smoker DEG Diferentially expressed gene PCA Principal component analysis PC1 Principal component 1 RDFS Random depth-frst search SD Standard deviation SEM Standard error of the mean 1Department of Chemical Engineering, Norwegian University of Science and Technology (NTNU), Trondheim, Norway. -
Pan-Cancer Molecular Subtypes Revealed by Mass-Spectrometry
ARTICLE https://doi.org/10.1038/s41467-019-13528-0 OPEN Pan-cancer molecular subtypes revealed by mass- spectrometry-based proteomic characterization of more than 500 human cancers Fengju Chen1, Darshan S. Chandrashekar2,3, Sooryanarayana Varambally2,3,4 & Chad J. Creighton 1,5,6,7* Mass-spectrometry-based proteomic profiling of human cancers has the potential for pan- cancer analyses to identify molecular subtypes and associated pathway features that might 1234567890():,; be otherwise missed using transcriptomics. Here, we classify 532 cancers, representing six tissue-based types (breast, colon, ovarian, renal, uterine), into ten proteome-based, pan- cancer subtypes that cut across tumor lineages. The proteome-based subtypes are obser- vable in external cancer proteomic datasets surveyed. Gene signatures of oncogenic or metabolic pathways can further distinguish between the subtypes. Two distinct subtypes both involve the immune system, one associated with the adaptive immune response and T-cell activation, and the other associated with the humoral immune response. Two addi- tional subtypes each involve the tumor stroma, one of these including the collagen VI interacting network. Three additional proteome-based subtypes—respectively involving proteins related to Golgi apparatus, hemoglobin complex, and endoplasmic reticulum—were not reflected in previous transcriptomics analyses. A data portal is available at UALCAN website. 1 Dan L. Duncan Comprehensive Cancer Center Division of Biostatistics, Baylor College of Medicine, Houston, TX, USA. 2 Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL 35233, USA. 3 Molecular and Cellular Pathology, Department of Pathology, University of Alabama at Birmingham, Birmingham, AL 35233, USA. 4 The Informatics Institute, University of Alabama at Birmingham, Birmingham, AL 35233, USA. -
Peripheral Blood RNA Gene Expression Profiling in Patients With
ORIGINAL RESEARCH ARTICLE published: 18 March 2013 doi: 10.3389/fnins.2013.00033 Peripheral blood RNA gene expression profiling in patients with bacterial meningitis Margit Lill 1, Sulev Kõks 2,3*, Ursel Soomets 3,4, Leonard C. Schalkwyk 5, Cathy Fernandes 5,IrjaLutsar3,6 and Pille Taba1* 1 Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia 2 Department of Physiology, University of Tartu, Tartu, Estonia 3 Centre for Translational Research, University of Tartu, Tartu, Estonia 4 Department of Biochemistry, University of Tartu, Tartu, Estonia 5 Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London, UK 6 Institute of Microbiology, University of Tartu, Tartu, Estonia Edited by: Objectives: The aim of present study was to find genetic pathways activated during Hua Lou, Case Western Reserve infection with bacterial meningitis (BM) and potentially influencing the course of the University, USA infection using genome-wide RNA expression profiling combined with pathway analysis Reviewed by: and functional annotation of the differential transcription. Qingzhong Kong, Case Western Reserve University, USA Methods: We analyzed 21 patients with BM hospitalized in 2008. The control group Ruth Siegel, Case Western Reserve consisted of 18 healthy subjects. The RNA was extracted from whole blood, globin mRNA University, USA was depleted and gene expression profiling was performed using GeneChip Human Gene *Correspondence: Sulev Kõks, Department of 1.0 ST Arrays which can assess the transcription of 28,869 genes. Gene expression profile Physiology, University of Tartu, 19 data were analyzed using Bioconductor packages and Bayesian modeling. Functional Ravila St, 50411 Tartu, Estonia. annotation of the enriched gene sets was used to define the altered genetic networks. -
ORIGINAL ARTICLE High-Resolution Analysis of Chromosome Copy
Leukemia (2008) 22, 1891–1898 & 2008 Macmillan Publishers Limited All rights reserved 0887-6924/08 $32.00 www.nature.com/leu ORIGINAL ARTICLE High-resolution analysis of chromosome copy number alterations in angioimmunoblastic T-cell lymphoma and peripheral T-cell lymphoma, unspecified, with single nucleotide polymorphism-typing microarrays S-i Fujiwara1,2, Y Yamashita1, N Nakamura3, YL Choi1, T Ueno1, H Watanabe1, K Kurashina1, M Soda1, M Enomoto1, H Hatanaka1, S Takada1, M Abe4, K Ozawa2 and H Mano1,5 1Division of Functional Genomics, Jichi Medical University, Tochigi, Japan; 2Division of Hematology, Jichi Medical University, Tochigi, Japan; 3Department of Pathology, Tokai University School of Medicine, Kanagawa, Japan; 4Department of Pathology, Fukushima Medical University, Fukushima, Japan and 5CREST, Japan Science and Technology Agency, Saitama, Japan Angioimmunoblastic T-cell lymphoma (AILT) and peripheral the intrinsic genetic aberrations responsible for these two T-cell lymphoma, unspecified (PTCL-u) are relatively frequent subtypes of T/NK cell lymphoma and the development of new subtypes of T- or natural killer cell lymphoma. To characterize the structural anomalies of chromosomes associated with classification schemes based on such molecular pathogenesis these disorders, we here determined chromosome copy are thus important clinical goals. number alterations (CNAs) and loss of heterozygosity (LOH) In addition to nucleotide mutations and epigenetic abnorm- at 455 000 single nucleotide polymorphism loci for clinical alities, structural changes of chromosomes, or chromosomal specimens of AILT (n ¼ 40) or PTCL-u (n ¼ 33). Recurrent copy instability, are important in cancer development.6 Gene number gain common to both conditions was detected on amplification may promote the oncogenic activity of a subset chromosomes 8, 9 and 19, whereas common LOH was most frequent for a region of chromosome 2. -
Bayesian Infinite Mixture Models for Gene Clustering and Simultaneous
UNIVERSITY OF CINCINNATI Date: 22-Oct-2009 I, Johannes M Freudenberg , hereby submit this original work as part of the requirements for the degree of: Doctor of Philosophy in Biomedical Engineering It is entitled: Bayesian Infinite Mixture Models for Gene Clustering and Simultaneous Context Selection Using High-Throughput Gene Expression Data Student Signature: Johannes M Freudenberg This work and its defense approved by: Committee Chair: Mario Medvedovic, PhD Mario Medvedovic, PhD Bruce Aronow, PhD Bruce Aronow, PhD Michael Wagner, PhD Michael Wagner, PhD Jaroslaw Meller, PhD Jaroslaw Meller, PhD 11/18/2009 248 Bayesian Infinite Mixture Models for Gene Clustering and Simultaneous Context Selection Using High-Throughput Gene Expression Data A dissertation submitted to the Graduate School of the University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Department Biomedical Engineering of the Colleges of Engineering and Medicine by Johannes M. Freudenberg M.S., 2004, Leipzig University, Leipzig, Germany (German Diplom degree) Committee Chair: Mario Medvedovic, Ph.D. Abstract Applying clustering algorithms to identify groups of co-expressed genes is an important step in the analysis of high-throughput genomics data in order to elucidate affected biological pathways and transcriptional regulatory mechanisms. As these data are becoming ever more abundant the integration with both, existing biological knowledge and other experimental data becomes as crucial as the ability to perform such analysis in a meaningful but virtually unsupervised fashion. Clustering analysis often relies on ad-hoc methods such as k-means or hierarchical clustering with Euclidean distance but model-based methods such as the Bayesian Infinite Mixtures approach have been shown to produce better, more reproducible results.