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Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
Global Patterns of Changes in the Gene Expression Associated with Genesis of Cancer a Dissertation Submitted in Partial Fulfillm
Global Patterns Of Changes In The Gene Expression Associated With Genesis Of Cancer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at George Mason University By Ganiraju Manyam Master of Science IIIT-Hyderabad, 2004 Bachelor of Engineering Bharatiar University, 2002 Director: Dr. Ancha Baranova, Associate Professor Department of Molecular & Microbiology Fall Semester 2009 George Mason University Fairfax, VA Copyright: 2009 Ganiraju Manyam All Rights Reserved ii DEDICATION To my parents Pattabhi Ramanna and Veera Venkata Satyavathi who introduced me to the joy of learning. To friends, family and colleagues who have contributed in work, thought, and support to this project. iii ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Ancha Baranova, whose tolerance, patience, guidance and encouragement helped me throughout the study. This dissertation would not have been possible without her ever ending support. She is very sincere and generous with her knowledge, availability, compassion, wisdom and feedback. I would also like to thank Dr. Vikas Chandhoke for funding my research generously during my doctoral study at George Mason University. Special thanks go to Dr. Patrick Gillevet, Dr. Alessandro Giuliani, Dr. Maria Stepanova who devoted their time to provide me with their valuable contributions and guidance to formulate this project. Thanks to the faculty of Molecular and Micro Biology (MMB) department, Dr. Jim Willett and Dr. Monique Vanhoek in embedding valuable thoughts to this dissertation by being in my dissertation committee. I would also like to thank the present and previous doctoral program directors, Dr. Daniel Cox and Dr. Geraldine Grant, for facilitating, allowing, and encouraging me to work in this project. -
Systems Genetics in Polygenic Autoimmune Diseases
From the Institute of Experimental Dermatology Director: Prof. Saleh Ibrahim Systems genetics in polygenic autoimmune diseases Dissertation for Fulfillment of Requirements for the Doctoral Degree of the University of Lübeck from the Department of Medicine Submitted by Yask Gupta from New-Delhi, India Lübeck 2015 i First referee:- Prof. Dr. med Saleh Ibrahim Second referee:- Prof. Dr. rer. nat. Jeanette Erdman Chairman:- Prof. Dr. Horst-Werner Stüzbecher Data of oral examination:- 7 June 2016 ii iii Contents 1. Introduction 9 1.1 Autoimmune diseases 3 1.2 Autoimmune bullous diseases 4 1.3 Epidermolysis bullosa acquisita (EBA): an autoantibody-mediated autoimmune skin disease 5 1.4 Role of miRNA in autoimmune diseases 5 1.5 Genes in autoimmune diseases 7 1.6 Gene networks 8 1.6.1 Gene/Protein interaction database 9 1.6.2 Ab intio prediction of gene networks 11 1.7 QTL and expression QTL 12 1.8. Prediction of ncRNA 13 1.8.1 Support vector machine and random forest 15 1.9. Structure of the thesis 18 2. Aims of the thesis 21 3. Materials and methods 23 3.1 Generation of a four way advanced intercross line 23 iv 3.2 Experimental EBA and observation protocol 24 3.2.1 Generation of recombinant peptides 24 3.3 Extraction of genomic DNA for genotypic analysis 25 3.4 Generation of microarray data (miRNAs/genes) and bioinformatics analysis 25 3.5 Software for Expression QTL analysis 26 3.5.1 HAPPY 27 3.5.2 EMMA 28 3.5.3 Implementation of software for expression QTL mapping 30 3.6 Ab initio Gene and microRNAs networks prediction 31 3.6.1 MicroRNAs 32 3.6.2 Genes 33 3.6.3 MicroRNAs gene target prediction 34 3.7 Visualization of interaction networks 35 3.8 Network databases (STRING and IPA) 36 3.9 Prediction of ncRNA tools 37 3.9.1 Dataset 38 3.9.2 Features for classification 39 3.9.3 Classification system 41 v 3.9.4 Implementation of support vector machines and random forest on the post transcriptional non coding RNA dataset 42 3.9.5 Work flow and output of ptRNApred 45 4. -
Identification of Novel Micrornas in Primates by Using the Synteny Information and Small RNA Deep Sequencing Data
Int. J. Mol. Sci. 2013, 14, 20820-20832; doi:10.3390/ijms141020820 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Identification of Novel MicroRNAs in Primates by Using the Synteny Information and Small RNA Deep Sequencing Data Zhidong Yuan 1,2, Hongde Liu 2, Yumin Nie 2, Suping Ding 1, Mingli Yan 1, Shuhua Tan 1, Yuanchang Jin 1 and Xiao Sun 2,* 1 School of Life Sciences, Hunan University of Science and Technology, Xiangtan 411201, China; E-Mails: [email protected] (Z.Y.); [email protected] (S.D.); [email protected] (M.Y.); [email protected] (S.T.); [email protected] (Y.J.) 2 State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China; E-Mails: [email protected] (H.L.); [email protected] (Y.N.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +86-258-379-5174; Fax: +86-258-379-2349. Received: 16 July 2013; in revised form: 22 September 2013 / Accepted: 9 October 2013 / Published: 16 October 2013 Abstract: Current technologies that are used for genome-wide microRNA (miRNA) prediction are mainly based on BLAST tool. They often produce a large number of false positives. Here, we describe an effective approach for identifying orthologous pre-miRNAs in several primates based on syntenic information. Some of them have been validated by small RNA high throughput sequencing data. This approach uses the synteny information and experimentally validated miRNAs of human, and incorporates currently available algorithms and tools to identify the pre-miRNAs in five other primates. -
Genes for an Enriched Association with Intelligence Differences☆
Intelligence 54 (2016) 80–89 Contents lists available at ScienceDirect Intelligence Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences☆ W.D. Hill a,b,⁎,G.Daviesa,b,D.C.Liewalda,b,A.Paytonc,C.J.McNeild, L.J. Whalley d,M.Horane,W.Ollierc, J.M. Starr a, N. Pendleton c, N.K. Hansel f,G.W.Montgomeryf, S.E. Medland f,N.G.Martinf, M.J. Wright f, T.C. Bates b,I.J.Dearya,b,⁎ a Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK b Department of Psychology, University of Edinburgh, Edinburgh, UK c Centre for Integrated Genomic Medical Research, University of Manchester, Manchester, UK d Aberdeen Biomedical Imaging Centre, University of Aberdeen, UK e Centre for Clinical and Cognitive Neurosciences, Institute Brain, Behaviour and Mental Health, University of Manchester, Manchester, UK f QIMR, Berghofer Medical Research Institution, Brisbane, Australia article info abstract Article history: Two themes are emerging regarding the molecular genetic aetiology of intelligence. The first is that intelligence is Received 1 May 2015 influenced by many variants and those that are tagged by common single nucleotide polymorphisms account for Received in revised form 27 October 2015 around 30% of the phenotypic variation. The second, in line with other polygenic traits such as height and schizo- Accepted 20 November 2015 phrenia, is that these variants are not randomly distributed across the genome but cluster in genes that work Available online 17 December 2015 together. Less clear is whether the very low range of cognitive ability (intellectual disability) is simply one end of the normal distribution describing individual differences in cognitive ability across a population. -
The Development and Improvement of Instructions
IDENTIFICATION OF SIGNIFICANTLY REGULATED GENES IN THE ESTROGEN INDUCED GALLUS GALLUS LIVER OVER A 24- HOUR TIME COURSE A Thesis by ERICA RENEE TROJACEK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE December 2011 Major Subject: Nutrition IDENTIFICATION OF SIGNIFICANTLY REGULATED GENES IN THE ESTROGEN INDUCED GALLUS GALLUS LIVER OVER A 24- HOUR TIME COURSE A Thesis by ERICA RENEE TROJACEK Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair of Committee, Rosemary Walzem Committee Members, Alice Villalobos Huaijun Zhou Intercollegiate Faculty Chair, Steven Smith December 2011 Major Subject: Nutrition iii ABSTRACT Identification of Significantly Regulated Genes in the Estrogen Induced Gallus gallus Liver Over a 24-Hour Time Course. (December 2011) Erica Renee Trojacek, B.S.; B.S., Texas A&M University Chair of Advisory Committee: Dr. Rosemary Walzem In birds, estrogen is a strong stimulator of gene programs that regulate the formation of very low density lipoproteins (VLDL). Apolipoprotein-B (ApoB) is an integral part of very low density lipoproteins. In mammals, the rate of ApoB synthesis is controlled by post-translational means. In contrast, estrogen treated birds show changes in ApoB transcript level; in a natural setting, the bird‟s metabolism and transcription are in great flux due to yolk formation. Besides the ApoB gene, the entire complement of genes that is necessary to form a VLDL is not known. To determine the genes that play a role in the formation of VLDL 7-10d old chicks were injected with estrogen at several time points over a 24hr period. -
Supporting Information SI Materials and Methods Mice And
Supporting Information SI Materials and Methods Mice and Treatments. C57BL/6J mice and ROSA26-CreERT2 mice were purchased from the Jackson Laboratory, and Alk1floxed/floxed mice (1) were transferred to KAIST. To knock down Alk1 in a tamoxifen-dependent manner, Alk12fl/2fl mice were intercrossed with ROSA26-CreERT2 mice. Tamoxifen (0.2 mg; Sigma-Aldrich) dissolved in corn oil (Sigma-Aldrich) was injected into the peritoneal cavity of mouse pups on postnatal day 4 (P4) and P6. All animals were bred in a specific pathogen-free animal facility, and were fed a standard diet (PMI Lab Diet) ad libitum with free access to water. Bmp9 KO mice were generated as previously reported (2). All experimental protocols were performed in accordance with the policies of the Animal Ethics Committee of the University of Tokyo and KAIST. Model of Chronic Aseptic Peritonitis. We used 5-week-old Balb/c mice obtained from Sankyo Laboratories. The model of chronic aseptic peritonitis has been described previously (3-5). To induce peritonitis, we intraperitoneally administered 2 ml of 3% thioglycollate medium (BBL thioglycollate medium, BD Biosciences) to Balb/c mice every 2 days for 2 weeks. The adenovirus encoding lacZ or BMP9 was also intraperitoneally administered twice per week during the same period. Mice were then sacrificed, and their diaphragms were excised and prepared for immunostaining as described previously (3). Fluorescent signals were visualized, and digital images were obtained using a Zeiss LSM 510 confocal microscope equipped with argon and helium-neon lasers (Carl Zeiss). LYVE-1-positive lymphatic vessels were observed using a 20× objective lens and analyzed using LSM Image Browser (Carl Zeiss) and ImageJ software. -
Examining Non-Syndromic Autosomal Recessive Intellectual Disability
Edinburgh Research Explorer Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences Citation for published version: Hill, WD, Davies, G, Liewald, D, Payton, A, Mcneil, CJ, Whalley, LJ, Horan, M, Ollier, W, Starr, J, Pendleton, N, Hansel, NK, Montgomery, GW, Medland, SE, Martin, NG, Wright, MJ, Bates, TC & Deary, IJ 2016, 'Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences', Intelligence, vol. 54, pp. 80-89. https://doi.org/10.1016/j.intell.2015.11.005 Digital Object Identifier (DOI): 10.1016/j.intell.2015.11.005 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Intelligence General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 01. Oct. 2021 Intelligence 54 (2016) 80–89 Contents lists available at ScienceDirect Intelligence Examining non-syndromic autosomal recessive intellectual disability (NS-ARID) genes for an enriched association with intelligence differences☆ W.D. -
ROR- NF-B/Rela-STAT3-FURIN-SARS-COV-2 Quantum Deep Learning
Clinical Schizophrenia & Related Psychoses Clin Schizophr Relat Psychoses Spl 1, 2020 Research Article Hybrid Open Access ROR- NF-B/RelA-STAT3-FURIN-SARS-COV-2 Quantum Deep Learning Functional Similarities on Remdesivir, Ursolic Acid and Colchicine Drug Synergies to treat COVID19 in Practice Grigoriadis Ioannis Biogenea Pharmaceuticals Ltd, Pharmaceutical Biotechnology Company, Thessaloniki, Greece Abstract SARS coronavirus 2 (SARS-CoV-2) of the family Coronaviridae is an enveloped, positive- sense, single -stranded RNA betacoronavirus encoding a SARS- COV-2 (2019-NCOV, Coronavirus Disease 2019, that infect humans historically. Remdesivir, or GS-5734, is an adenosine triphosphate analog first described in the literature in 2016 as a potential treatment for Ebola. In 2017, its activity against the coronavirus family of viruses was also demonstrated. Remdesivir is also being researched as a potential treatment to SARS-CoV-2, the coronavirus responsible for COVID-19. Structure-Based Drug Design strategies based on docking methodologies have been widely used for both new drug development and drug repurposing to find effective treatments against this disease. Quantum mechanics, molecular mechanics, molecular dynamics (MD), and combinations have shown superior performance to other drug design approaches providing an unprecedented opportunity in the rational drug development fields and for the developing of innovative drug repositioning methods. In this research paper, we estimated the druggable similarity by applying an inverse docking multitask machine learning approach to basal gene expression in acute respiratory distress syndrome and response to single drugs. We tested 18 phytochemical small molecule libraries and predicted their synergies in COVID19 (2019- NCOV), which is associated with 1,000,000 deaths worldwide, to devise therapeutic strategies, repurpose existing ones in order to counteract highly pathogenic SARS-CoV-2 infection and the associated NOS3- COVID-19 pathology. -
Gene Expression Profiling and Bioinformatics Analysis of Hereditary Gingival Fibromatosis
BIOMEDICAL REPORTS 8: 133-137, 2018 Gene expression profiling and bioinformatics analysis of hereditary gingival fibromatosis LEI FANG1, YU WANG2 and XUEJUN CHEN1 1Department of Pathology and Pathophysiology, Jinzhou Medical University, Jinzhou, Liaoning 121001; 2Department of Ultrasound in Medicine, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai Institute of Ultrasound in Medicine, Shanghai 200233, P.R. China Received August 9, 2017; Accepted November 11, 2017 DOI: 10.3892/br.2017.1031 Abstract. Hereditary gingival fibromatosis (HGF) is a benign, localized or generalized fibrous enlargement of maxillary and non‑hemorrhagic and fibrous gingival overgrowth that may mandibular keratinized gingiva (1‑3). GF may co‑exist with cover all or part of the teeth. It typically interferes with speech, various genetic syndromes, such as Rutherfurd syndrome, lip closure and chewing, and can also be a psychological burden Cowden syndrome, Zimmerman‑Laband syndrome, that affects the self‑esteem of patients. Owing to high genetic Murray‑Puretic syndrome and hyaline fibromatosis syndrome, heterogeneity, genetic testing to confirm diagnosis is not justi- or occurs as an apparent isolated trait as non‑syndromic fied. It is therefore important to identify key signature genes and hereditary GF (HGF) (1,4‑6). HGF, also known as hereditary to understand the molecular mechanisms underlying HGF. The gingival hyperplasia or idiopathic gingival fibromatosis, is the aim of the present study was to determine HGF‑related genes most common genetic form of GF that is typically transmitted and to analyze these genes through bioinformatics methods. as an autosomal‑dominant trait (7,8). HGF affects males and A total of 249 differentially expressed genes (DEGs), consisting females equally at an estimated incidence of 1 per 175,000 of 65 upregulated and 184 downregulated genes, were identified of the population (1,9).