Molecular Characterization of a Novel Amplicon at I Q21 -Q22 Frequently Observed in Human Sarcomas
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Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
Downloaded from Genomic Data Common Website (GDC at Accessed on 2019)
G C A T T A C G G C A T genes Article Molecular Pathways Associated with Kallikrein 6 Overexpression in Colorectal Cancer Ritu Pandey 1,2,*, Muhan Zhou 3, Yuliang Chen 3, Dalila Darmoul 4 , Conner C. Kisiel 2, Valentine N. Nfonsam 5 and Natalia A. Ignatenko 1,2 1 Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ 85721, USA; [email protected] 2 University of Arizona Cancer Center, University of Arizona, Tucson, AZ 85724, USA; [email protected] 3 Bioinformatics Shared Resource, University of Arizona Cancer Center, Tucson, AZ 85724, USA; [email protected] (M.Z.); [email protected] (Y.C.) 4 Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Paris, Lariboisière Hospital, 75010 Paris, France; [email protected] 5 Department of Surgery, Section of Surgical Oncology, University of Arizona, Tucson, AZ 85724, USA; [email protected] * Correspondence: [email protected] Abstract: Colorectal cancer (CRC) remains one of the leading causes of cancer-related death world- wide. The high mortality of CRC is related to its ability to metastasize to distant organs. The kallikrein-related peptidase Kallikrein 6 (KLK6) is overexpressed in CRC and contributes to cancer cell invasion and metastasis. The goal of this study was to identify KLK6-associated markers for the CRC prognosis and treatment. Tumor Samples from the CRC patients with significantly elevated Citation: Pandey, R.; Zhou, M.; Chen, KLK6 transcript levels were identified in the RNA-Seq data from Cancer Genome Atlas (TCGA) Y.; Darmoul, D.; Kisiel, C.C.; and their expression profiles were evaluated using Gene Ontology (GO), Phenotype and Reactome Nfonsam, V.N.; Ignatenko, N.A. -
A Novel Resveratrol Analog: Its Cell Cycle Inhibitory, Pro-Apoptotic and Anti-Inflammatory Activities on Human Tumor Cells
A NOVEL RESVERATROL ANALOG : ITS CELL CYCLE INHIBITORY, PRO-APOPTOTIC AND ANTI-INFLAMMATORY ACTIVITIES ON HUMAN TUMOR CELLS A dissertation submitted to Kent State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy by Boren Lin May 2006 Dissertation written by Boren Lin B.S., Tunghai University, 1996 M.S., Kent State University, 2003 Ph. D., Kent State University, 2006 Approved by Dr. Chun-che Tsai , Chair, Doctoral Dissertation Committee Dr. Bryan R. G. Williams , Co-chair, Doctoral Dissertation Committee Dr. Johnnie W. Baker , Members, Doctoral Dissertation Committee Dr. James L. Blank , Dr. Bansidhar Datta , Dr. Gail C. Fraizer , Accepted by Dr. Robert V. Dorman , Director, School of Biomedical Sciences Dr. John R. Stalvey , Dean, College of Arts and Sciences ii TABLE OF CONTENTS LIST OF FIGURES……………………………………………………………….………v LIST OF TABLES……………………………………………………………………….vii ACKNOWLEDGEMENTS….………………………………………………………….viii I INTRODUCTION….………………………………………………….1 Background and Significance……………………………………………………..1 Specific Aims………………………………………………………………………12 II MATERIALS AND METHODS.…………………………………………….16 Cell Culture and Compounds…….……………….…………………………….….16 MTT Cell Viability Assay………………………………………………………….16 Trypan Blue Exclusive Assay……………………………………………………...18 Flow Cytometry for Cell Cycle Analysis……………..……………....……………19 DNA Fragmentation Assay……………………………………………...…………23 Caspase-3 Activity Assay………………………………...……….….…….………24 Annexin V-FITC Staining Assay…………………………………..…...….………28 NF-kappa B p65 Activity Assay……………………………………..………….…29 -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
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. -
NIH Public Access Author Manuscript J Hepatol
NIH Public Access Author Manuscript J Hepatol. Author manuscript; available in PMC 2008 April 1. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: J Hepatol. 2008 February ; 48(2): 276±288. Small Proline Rich Proteins (SPRR) Function as SH3 Domain Ligands, Increase Resistance to Injury and are Associated with Epithelial-Mesenchymal Transition (EMT) in cholangiocytes Anthony J. Demetris, M.D.1,2,*, Susan Specht, M.S.1,2, Isao Nozaki, M.D.1,2,+, John G. Lunz III1,2,3, Donna Beer Stolz, PhD.4, Noriko Murase, M.D.1,3, and Tong Wu, M.D., PhD.2 1Thomas E Starzl Transplantation Institute, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 2Department of Pathology, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 3Department of Surgery, Division of Transplantation, University of Pittsburgh Medical Center, Pittsburgh, PA 15213 4Department of Cell Biology and Physiology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania 15261 +Isao Nozaki, M.D., National Shikoku Cancer Center Hospital, Department of Surgery, 13 Horinouchi, Matsuyama, JAPAN 790-0007 Abstract Background/Aims—Deficient biliary epithelial cell (BEC) expression of small proline rich protein (SPRR) 2A in IL-6-/- mice is associated with defective biliary barrier function after bile duct ligation. And numerous gene array expression studies show SPRR2A to commonly be among the most highly upregulated genes in many non-squamous, stressed and remodeling barrier epithelia. Since the function of SPRR in these circumstances is unknown, we tested the exploratory hypothesis that BEC SPRR2A expression contributes to BEC barrier function and wound repair. -
Identification of Differentially Expressed Genes in Human Bladder Cancer Through Genome-Wide Gene Expression Profiling
521-531 24/7/06 18:28 Page 521 ONCOLOGY REPORTS 16: 521-531, 2006 521 Identification of differentially expressed genes in human bladder cancer through genome-wide gene expression profiling KAZUMORI KAWAKAMI1,3, HIDEKI ENOKIDA1, TOKUSHI TACHIWADA1, TAKENARI GOTANDA1, KENGO TSUNEYOSHI1, HIROYUKI KUBO1, KENRYU NISHIYAMA1, MASAKI TAKIGUCHI2, MASAYUKI NAKAGAWA1 and NAOHIKO SEKI3 1Department of Urology, Graduate School of Medical and Dental Sciences, Kagoshima University, 8-35-1 Sakuragaoka, Kagoshima 890-8520; Departments of 2Biochemistry and Genetics, and 3Functional Genomics, Graduate School of Medicine, Chiba University, 1-8-1 Inohana, Chuo-ku, Chiba 260-8670, Japan Received February 15, 2006; Accepted April 27, 2006 Abstract. Large-scale gene expression profiling is an effective CKS2 gene not only as a potential biomarker for diagnosing, strategy for understanding the progression of bladder cancer but also for staging human BC. This is the first report (BC). The aim of this study was to identify genes that are demonstrating that CKS2 expression is strongly correlated expressed differently in the course of BC progression and to with the progression of human BC. establish new biomarkers for BC. Specimens from 21 patients with pathologically confirmed superficial (n=10) or Introduction invasive (n=11) BC and 4 normal bladder samples were studied; samples from 14 of the 21 BC samples were subjected Bladder cancer (BC) is among the 5 most common to microarray analysis. The validity of the microarray results malignancies worldwide, and the 2nd most common tumor of was verified by real-time RT-PCR. Of the 136 up-regulated the genitourinary tract and the 2nd most common cause of genes we detected, 21 were present in all 14 BCs examined death in patients with cancer of the urinary tract (1-7). -
Organizing Knowledge to Enable Faster Data Interpretation in COVID
F1000Research 2021, 10(ELIXIR):703 Last updated: 01 SEP 2021 DATA NOTE Organizing knowledge to enable faster data interpretation in COVID-19 research [version 1; peer review: 2 approved with reservations] Joseph Hearnshaw, Marco Brandizi, Ajit Singh , Chris Rawlings , Keywan Hassani-Pak Rothamsted Research, Harpenden, AL5 2JQ, UK v1 First published: 30 Jul 2021, 10(ELIXIR):703 Open Peer Review https://doi.org/10.12688/f1000research.54071.1 Latest published: 30 Jul 2021, 10(ELIXIR):703 https://doi.org/10.12688/f1000research.54071.1 Reviewer Status Invited Reviewers Abstract Enormous volumes of COVID-19 research data have been published 1 2 and this continues to increase daily. This creates challenges for researchers to interpret, prioritize and summarize their own findings version 1 in the context of published literature, clinical trials, and a multitude of 30 Jul 2021 report report databases. Overcoming the data interpretation bottleneck is vital to help researchers to be more efficient in their quest to identify COVID- 1. Justin Reese , Lawrence Berkeley National 19 risk factors, potential treatments, drug side-effects, and much more. As a proof of concept, we have organized and integrated a Laboratory, Berkeley, USA range of COVID-19 and human biomedical data and literature into a knowledge graph (KG). Here we present the datasets we have 2. Keith Hall , Google Research, New York, integrated so far and the content of the KG which consists of 674,969 USA biological concepts and over 1.6 million relationships between them. The COVID-19 KG is available via KnetMiner, an interactive online Any reports and responses or comments on the platform for gene discovery and knowledge mining, or via RDF and article can be found at the end of the article. -
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis Ugo Ala1., Rosario Michael Piro1., Elena Grassi1, Christian Damasco1, Lorenzo Silengo1, Martin Oti2, Paolo Provero1*, Ferdinando Di Cunto1* 1 Molecular Biotechnology Center, Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy, 2 Department of Human Genetics and Centre for Molecular and Biomolecular Informatics, University Medical Centre Nijmegen, Nijmegen, The Netherlands Abstract Background: Even in the post-genomic era, the identification of candidate genes within loci associated with human genetic diseases is a very demanding task, because the critical region may typically contain hundreds of positional candidates. Since genes implicated in similar phenotypes tend to share very similar expression profiles, high throughput gene expression data may represent a very important resource to identify the best candidates for sequencing. However, so far, gene coexpression has not been used very successfully to prioritize positional candidates. Methodology/Principal Findings: We show that it is possible to reliably identify disease-relevant relationships among genes from massive microarray datasets by concentrating only on genes sharing similar expression profiles in both human and mouse. Moreover, we show systematically that the integration of human-mouse conserved coexpression with a phenotype similarity map allows the efficient identification of disease genes in large genomic regions. Finally, using this approach on 850 OMIM loci characterized by an unknown molecular basis, we propose high-probability candidates for 81 genetic diseases. Conclusion: Our results demonstrate that conserved coexpression, even at the human-mouse phylogenetic distance, represents a very strong criterion to predict disease-relevant relationships among human genes. Citation: Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. -
LJELSR: a Strengthened Version of JELSR for Feature Selection and Clustering
Article LJELSR: A Strengthened Version of JELSR for Feature Selection and Clustering Sha-Sha Wu 1, Mi-Xiao Hou 1, Chun-Mei Feng 1,2 and Jin-Xing Liu 1,* 1 School of Information Science and Engineering, Qufu Normal University, Rizhao 276826, China; [email protected] (S.-S.W.); [email protected] (M.-X.H.); [email protected] (C.-M.F.) 2 Bio-Computing Research Center, Harbin Institute of Technology, Shenzhen 518055, China * Correspondence: [email protected]; Tel.: +086-633-3981-241 Received: 4 December 2018; Accepted: 7 February 2019; Published: 18 February 2019 Abstract: Feature selection and sample clustering play an important role in bioinformatics. Traditional feature selection methods separate sparse regression and embedding learning. Later, to effectively identify the significant features of the genomic data, Joint Embedding Learning and Sparse Regression (JELSR) is proposed. However, since there are many redundancy and noise values in genomic data, the sparseness of this method is far from enough. In this paper, we propose a strengthened version of JELSR by adding the L1-norm constraint on the regularization term based on a previous model, and call it LJELSR, to further improve the sparseness of the method. Then, we provide a new iterative algorithm to obtain the convergence solution. The experimental results show that our method achieves a state-of-the-art level both in identifying differentially expressed genes and sample clustering on different genomic data compared to previous methods. Additionally, the selected differentially expressed genes may be of great value in medical research. Keywords: differentially expressed genes; feature selection; L1-norm; sample clustering; sparse constraint 1. -
UNIVERSITY of CALIFORNIA, IRVINE Gene Regulatory
UNIVERSITY OF CALIFORNIA, IRVINE Gene Regulatory Mechanisms in Epithelial Specification and Function DISSERTATION submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Biomedical Sciences by Rachel Herndon Klein Dissertation Committee: Professor Bogi Andersen, M.D., Chair Professor Xing Dai, Ph.D. Professor Anand Ganesan, M.D. Professor Ali Mortazavi, Ph.D Professor Kyoko Yokomori, Ph.D 2015 © 2015 Rachel Herndon Klein DEDICATION To My parents, my sisters, my husband, and my friends for your love and support, and to Ben with all my love. ii TABLE OF CONTENTS Page LIST OF FIGURES iv LIST OF TABLES vi ACKNOWLEDGMENTS vii CURRICULUM VITAE viii-ix ABSTRACT OF THE DISSERTATION x-xi CHAPTER 1: INTRODUCTION 1 CHAPTER 2: Cofactors of LIM domain (CLIM) proteins regulate corneal epithelial progenitor cell function through noncoding RNA H19 22 CHAPTER 3: KLF7 regulates the corneal epithelial progenitor cell state acting antagonistically to KLF4 49 CHAPTER 4: GRHL3 interacts with super enhancers and the neuronal repressor REST to regulate keratinocyte differentiation and migration 77 CHAPTER 5: Methods 103 CHAPTER 6: Summary and Conclusions 111 REFERENCES 115 iii LIST OF FIGURES Page Figure 1-1. Structure and organization of the epidermis. 3 Figure 1-2. Structure of the limbus, and cornea epithelium. 4 Figure 1-3. Comparison of H3K4 methylating SET enzymes between S. cerevisiae, D. melanogaster, and H. sapiens. 18 Figure 1-4. The WRAD complex associates with Trithorax SET enzymes. 18 Figure 1-5. Model for GRHL3, PcG, and TrX –mediated regulation of epidermal differentiation genes. 19 Figure 2-1. Microarray gene expression analysis of postnatal day 3 (P3) whole mouse corneas reveals genes and pathways with altered expression in K14-DN-Clim mice.