Bovine Genetics Willy Blackwell
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Gene Expression Effects of Lithium and Valproic Acid in a Serotonergic Cell Line
bioRxiv preprint doi: https://doi.org/10.1101/227652; this version posted December 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Gene expression effects of lithium and valproic acid in a serotonergic cell line. Diana Balasubramanian1, John F. Pearson2, Martin A. Kennedy1 1Gene Structure and Function Laboratory and Carney Centre for Pharmacogenomics, Department of Pathology, University of Otago, Christchurch, New Zealand2 2Biostatistics and Computational Biology unit, University of Otago, Christchurch. Correspondence to: Prof. M. A. Kennedy Department of Pathology University of Otago, Christchurch Christchurch, New Zealand Email: [email protected] Keywords: RNA-Seq, valproic acid, gene expression, mood stabilizer, pharmacogenomics bioRxiv preprint doi: https://doi.org/10.1101/227652; this version posted December 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Abstract Valproic acid (VPA) and lithium are widely used in the treatment of bipolar disorder. However, the underlying mechanism of action of these drugs is not clearly understood. We used RNA-Seq analysis to examine the global profile of gene expression in a rat serotonergic cell line (RN46A) after exposure to these two mood stabilizer drugs. Numerous genes were differentially regulated in response to VPA (log2 fold change ≥ 1.0; i.e. -
CSE642 Final Version
Eindhoven University of Technology MASTER Dimensionality reduction of gene expression data Arts, S. Award date: 2018 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. 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 Eindhoven University of Technology MASTER THESIS Dimensionality Reduction of Gene Expression Data Author: S. (Sako) Arts Daily Supervisor: dr. V. (Vlado) Menkovski Graduation Committee: dr. V. (Vlado) Menkovski dr. D.C. (Decebal) Mocanu dr. N. (Nikolay) Yakovets May 16, 2018 v1.0 Abstract The focus of this thesis is dimensionality reduction of gene expression data. I propose and test a framework that deploys linear prediction algorithms resulting in a reduced set of selected genes relevant to a specified case. Abstract In cancer research there is a large need to automate parts of the process of diagnosis, this is mainly to reduce cost, make it faster and more accurate. -
Aprioritized Panel of Candidate Genes
In: Advances in Genetics Research. Volume 9 ISBN: 978-1- 62081-466-6 Editor: Kevin V. Urbano © 2012 Nova Science Publishers, Inc No part of this digital document may be reproduced, stored in a retrieval system or transmitted commercially in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. Chapter 1 A PRIORITIZED PANEL OF CANDIDATE GENES TO BE EXPLORED FOR ASSOCIATIONS WITH THE BLOOD PRESSURE RESPONSE TO EXERCISE Garrett I. Ash,1,Amanda L. Augeri,2John D. Eicher,3 Michael L. Bruneau, Jr.1 and Linda S. Pescatello1 1University of Connecticut, Storrs, CT, US 2Hartford Hospital, Hartford, CT, US 3Yale University School of Medicine, New Haven, CT, US ABSTRACT Introduction. Identifying genetic variants associated with the blood pressure (BP) response to exercise is hindered by the lack of standard criteria for candidate gene selection, underpowered samples, and a limited number of conclusive whole genome studies. We developed a prioritized panel of candidate genetic variants that may increase the likelihood of finding genotype associations with the BP response to exercise when used alone or in conjunction with high throughput genotyping studies. Methods. We searched for candidate genetic variants meeting preestablished criteria using PubMed and published systematic reviews. -
A Transcriptome-Wide Antitermination Mechanism Sustaining Identity of Embryonic Stem Cells
King’s Research Portal DOI: 10.1038/s41467-019-14204-z Document Version Peer reviewed version Link to publication record in King's Research Portal Citation for published version (APA): Kainov, Y., & Makeyev, E. (2020). A transcriptome-wide antitermination mechanism sustaining identity of embryonic stem cells. Nature Communications, 11(1), [361]. https://doi.org/10.1038/s41467-019-14204-z Citing this paper Please note that where the full-text provided on King's Research Portal is the Author Accepted Manuscript or Post-Print version this may differ from the final Published version. If citing, it is advised that you check and use the publisher's definitive version for pagination, volume/issue, and date of publication details. And where the final published version is provided on the Research Portal, if citing you are again advised to check the publisher's website for any subsequent corrections. General rights Copyright and moral rights for the publications made accessible in the Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognize and abide by the legal requirements associated with these rights. •Users may download and print one copy of any publication from the Research 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 Research Portal Take down policy If you believe that this document breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. -
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. -
Exploring the Effects of Genetic Variation on Gene Regulation in Cancer in the Context of 3D Genome Structure
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.06.328567; this version posted November 5, 2020. 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. Exploring the effects of genetic variation on gene regulation in cancer in the context of 3D genome structure by Noha Osman 1,2 and Michal Brylinski 1,3,* 1 Department of Biological Sciences, Louisiana State University, Baton Rouge, LA 70803, USA 2 Department of Cell Biology, National Research Centre, 12622 Giza, Egypt 3 Center for Computation and Technology, Louisiana State University, Baton Rouge, LA 70803, USA * Corresponding author: [email protected] Phone: (225) 578-2791 Fax: (225) 578-2597 Keywords: 3D genome structure, genetic variation, single-nucleotide polymorphism, gene regulation, chromosome conformation capture, genome-wide association study, topologically associating domains, transcription factors, enhancers, breast cancer, prostate cancer 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.10.06.328567; this version posted November 5, 2020. 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. Abstract Numerous genome-wide association studies (GWAS) conducted to date revealed genetic variants associated with various diseases, including breast and prostate cancers. Despite the availability of these large-scale data, relatively few variants have been functionally characterized, mainly because the majority of single-nucleotide polymorphisms (SNPs) map to the non-coding regions of the human genome. -
The Genome Sequence of Taurine Cattle
REPORTS second model, the two main conditions were para- different issues. In particular, Bhatt and Camerer found 34. W. Seeley et al., J. Neurosci. 27, 2349 (2007). metrically modulated by the two categories, higher insula and ACC activity when comparing choices to 35. J. Downar, A. Crawley, D. Mikulis, K. Davis, Nat. Neurosci. first-order beliefs in dominance-solvable games. 3, 277 (2000). respectively (SOM, S5.1). The activation of the 3. We are considering here coordination without visual or 36. J. Downar, A. Crawley, D. Mikulis, K. Davis, J. Neurophysiol. precuneus was higher for hard dominance-solvable other contact. Nonhuman primates seem able to 87, 615 (2002). games than for easy ones (Fig. 4A and table S10). coordinate their actions (simultaneously pulling on bars 37. K. Davis et al., J. Neurosci. 25, 8402 (2005). The activation of the insula was higher for the to obtain food) when they are in visual contact (45). 38. K. Taylor, D. Seminowicz, K. Davis, Hum. Brain Mapp., 4. J. Mehta, C. Starmer, R. Sugden, Am. Econ. Rev. 84, 658 in press; published online 15 December 2008; highly focal coordination games than for less fo- (1994). 10.1002/hbm.20705. cal ones (Fig. 4B and table S11). Previous studies 5. T. Schelling, J. Conflict Resolution 2, 203 (1958), p. 211. 39. See (47). The NCI can be interpreted as the probability also found that precuneus activity increased when 6. D. Kahneman, Am. Psychol. 58, 697 (2003). that two randomly chosen individuals make the same the number of planned moves increased (40, 41). 7. K. -
Exploring the Effects of Genetic Variation on Gene Regulation in Cancer in the Context of 3D Genome Structure
Exploring the Effects of Genetic Variation on Gene Regulation in Cancer in the Context of 3D Genome Structure Noha Osman Louisiana State University Abd-El-Monsif Shawky Louisiana State University Michal Brylinski ( [email protected] ) Louisiana State University Research Article Keywords: 3D genome structure, genetic variation, single-nucleotide polymorphism, gene regulation, chromosome conformation capture, genome-wide association study, topologically associating domains, transcription factors, enhancers, breast cancer, prostate cancer Posted Date: May 19th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-496328/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/30 Abstract Background: Numerous genome-wide association studies (GWAS) conducted to date revealed genetic variants associated with various diseases, including breast and prostate cancers. Despite the availability of these large-scale data, relatively few variants have been functionally characterized, mainly because the majority of single-nucleotide polymorphisms (SNPs) map to the non-coding regions of the human genome. The functional characterization of these non-coding variants and the identication of their target genes remain challenging. Results: In this communication, we explore the potential functional mechanisms of non-coding SNPs by integrating GWAS with the high-resolution chromosome conformation capture (Hi-C) data for breast and prostate cancers. We show that more genetic variants map to regulatory elements through the 3D genome structure than the 1D linear genome lacking physical chromatin interactions. Importantly, the association of enhancers, transcription factors, and their target genes with breast and prostate cancers tends to be higher when these regulatory elements are mapped to high-risk SNPs through spatial interactions compared to simply using a linear proximity. -
(ZPBP2) and Several Proteins Containing BX7B Motifs in Human Sperm May Have Hyaluronic Acid Binding Or Recognition Properties
This is a repository copy of Zona pellucida-binding protein 2 (ZPBP2) and several proteins containing BX7B motifs in human sperm may have hyaluronic acid binding or recognition properties. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/146678/ Version: Accepted Version Article: Torabi, F, Bogle, OA, Estanyol, JM et al. (2 more authors) (2017) Zona pellucida-binding protein 2 (ZPBP2) and several proteins containing BX7B motifs in human sperm may have hyaluronic acid binding or recognition properties. Molecular Human Reproduction, 23 (12). pp. 803-816. ISSN 1360-9947 https://doi.org/10.1093/molehr/gax053 (c) 2017, The Author. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved. This is an author produced version of a paper published in Molecular Human Reproduction. Uploaded in accordance with the publisher's self-archiving policy. Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. [email protected] https://eprints.whiterose.ac.uk/ Draft Manuscript Submitted to MHR for Peer Review Draft Manuscript For Review. -
The Genetic Architecture of Osteoarthritis: Insights from UK Biobank
bioRxiv preprint doi: https://doi.org/10.1101/174755; this version posted August 11, 2017. 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. The genetic architecture of osteoarthritis: insights from UK Biobank Eleni Zengini1,2*, Konstantinos Hatzikotoulas3*, Ioanna Tachmazidou3,4*, Julia Steinberg3,5, Fernando P. Hartwig6,7, Lorraine Southam3,8, Sophie Hackinger3, Cindy G. Boer9, Unnur Styrkarsdottir10, Daniel Suveges3, Britt Killian3, Arthur Gilly3, Thorvaldur Ingvarsson11,12,13, Helgi Jonsson12,14, George C. Babis15, Andrew McCaskie16, Andre G. Uitterlinden9, Joyce B. J. van Meurs9, Unnur Thorsteinsdottir10,12, Kari Stefansson10,12, George Davey Smith7, Mark J. Wilkinson1,17, Eleftheria Zeggini3# 1. Department of Oncology and Metabolism, University of Sheffield, Sheffield S10 2RX, United Kingdom 2. 5th Psychiatric Department, Dromokaiteio Psychiatric Hospital, Athens 124 61, Greece 3. Human Genetics, Wellcome Trust Sanger Institute, Hinxton CB10 1HH, United Kingdom 4. GSK, R&D Target Sciences, Medicines Research Centre, Stevenage SG1 2NY, United Kingdom 5. Cancer Research Division, Cancer Council NSW, Sydney NSW 2011, Australia 6. Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas 96020-220, Brazil 7. Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, United Kingdom 8. Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, United Kingdom 9. Department of Internal Medicine, Erasmus MC, Rotterdam, Netherlands 10. deCODE genetics, Reykjavik 101, Iceland 11. Department of Orthopaedic Surgery, Akureyri Hospital, Akureyri 600, Iceland 12. -
Network-Based Method for Drug Target Discovery at the Isoform Level
www.nature.com/scientificreports OPEN Network-based method for drug target discovery at the isoform level Received: 20 November 2018 Jun Ma1,2, Jenny Wang2, Laleh Soltan Ghoraie2, Xin Men3, Linna Liu4 & Penggao Dai 1 Accepted: 6 September 2019 Identifcation of primary targets associated with phenotypes can facilitate exploration of the underlying Published: xx xx xxxx molecular mechanisms of compounds and optimization of the structures of promising drugs. However, the literature reports limited efort to identify the target major isoform of a single known target gene. The majority of genes generate multiple transcripts that are translated into proteins that may carry out distinct and even opposing biological functions through alternative splicing. In addition, isoform expression is dynamic and varies depending on the developmental stage and cell type. To identify target major isoforms, we integrated a breast cancer type-specifc isoform coexpression network with gene perturbation signatures in the MCF7 cell line in the Connectivity Map database using the ‘shortest path’ drug target prioritization method. We used a leukemia cancer network and diferential expression data for drugs in the HL-60 cell line to test the robustness of the detection algorithm for target major isoforms. We further analyzed the properties of target major isoforms for each multi-isoform gene using pharmacogenomic datasets, proteomic data and the principal isoforms defned by the APPRIS and STRING datasets. Then, we tested our predictions for the most promising target major protein isoforms of DNMT1, MGEA5 and P4HB4 based on expression data and topological features in the coexpression network. Interestingly, these isoforms are not annotated as principal isoforms in APPRIS. -
Markus Draaken Aus Krefeld
Molekulargenetische Untersuchungen bei uro-rektalen Fehlbildungen Dissertation zur Erlangung des Doktorgrades (Dr. rer. nat.) der Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn vorgelegt von Markus Draaken aus Krefeld Bonn (April 2013) Angefertigt mit Genehmigung der Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn Die vorliegende Arbeit wurde am Institut für Humangenetik der Rheinischen Friedrich-Wilhelms-Universität Bonn angefertigt. 1. Gutachter: Prof. Dr. Markus M. Nöthen 2. Gutachter: Prof. Dr. Michael Hoch Tag der Promotion: 17.09.2013 Erscheinungsjahr: 2014 Inhaltsverzeichnis I Inhaltsverzeichnis Inhaltsverzeichnis ............................................................................................................................................ I Abbildungs- und Tabellenverzeichnis ................................................................................................... VI Abkürzungsverzeichnis ............................................................................................................................... IX 1 Einleitung ................................................................................................................................................ 1 1.1 Untersuchte uro-rektale Fehlbildungen ...................................................................................... 1 1.1.1 Blasenekstrophie-Epispadie-Komplex (BEEK) ..........................................................