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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
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. -
Epigenetic Mapping and Functional Analysis in a Breast Cancer
Available online http://breast-cancer-research.com/content/10/4/R62 ResearchVol 10 No 4 article Open Access Epigenetic mapping and functional analysis in a breast cancer metastasis model using whole-genome promoter tiling microarrays David I Rodenhiser1,2,3,4,5, Joseph Andrews1, Wendy Kennette1, Bekim Sadikovic1,2, Ariel Mendlowitz1,2, Alan B Tuck1,3,6 and Ann F Chambers1,3,6 1London Regional Cancer Program, Victoria Research Laboratories, London Health Sciences Centre, 790 Commissioners Road East, London, Ontario, N6A 4L6, Canada 2Department of Biochemistry, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 3Department of Oncology, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 4Department of Paediatrics, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 5EpiGenWestern Research Group at the Children's Health Research Institute, Victoria Research Laboratories, 800 Commissioners Road East, London, Ontario, N6C 2V5, Canada 6Department of Pathology, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada Corresponding author: David I Rodenhiser, [email protected] Received: 17 Apr 2008 Revisions requested: 23 May 2008 Revisions received: 11 Jul 2008 Accepted: 18 Jul 2008 Published: 18 Jul 2008 Breast Cancer Research 2008, 10:R62 (doi:10.1186/bcr2121) This article is online at: http://breast-cancer-research.com/content/10/4/R62 © 2008 Rodenhiser et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Understanding Chronic Kidney Disease: Genetic and Epigenetic Approaches
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches Yi-An Ko Ko University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, Genetics Commons, and the Systems Biology Commons Recommended Citation Ko, Yi-An Ko, "Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches" (2017). Publicly Accessible Penn Dissertations. 2404. https://repository.upenn.edu/edissertations/2404 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2404 For more information, please contact [email protected]. Understanding Chronic Kidney Disease: Genetic And Epigenetic Approaches Abstract The work described in this dissertation aimed to better understand the genetic and epigenetic factors influencing chronic kidney disease (CKD) development. Genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) significantly associated with chronic kidney disease. However, these studies have not effectively identified target genes for the CKD variants. Most of the identified variants are localized to non-coding genomic regions, and how they associate with CKD development is not well-understood. As GWAS studies only explain a small fraction of heritability, we hypothesized that epigenetic changes could explain part of this missing heritability. To identify potential gene targets of the genetic variants, we performed expression quantitative loci (eQTL) analysis, using genotyping arrays and RNA sequencing from human kidney samples. To identify the target genes of CKD-associated SNPs, we integrated the GWAS-identified SNPs with the eQTL results using a Bayesian colocalization method, coloc. This resulted in a short list of target genes, including PGAP3 and CASP9, two genes that have been shown to present with kidney phenotypes in knockout mice. -
A Functional Enrichment Test for Molecular Convergent Evolution Finds a Clear Protein-Coding Signal in Echolocating Bats and Whales
A functional enrichment test for molecular convergent evolution finds a clear protein-coding signal in echolocating bats and whales Amir Marcovitza,1, Yatish Turakhiab,1, Heidi I. Chena,1, Michael Gloudemansc, Benjamin A. Braund, Haoqing Wange, and Gill Bejeranoa,d,f,g,2 aDepartment of Developmental Biology, Stanford University, Stanford, CA 94305; bDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305; cBiomedical Informatics Program, Stanford University, Stanford, CA 94305; dDepartment of Computer Science, Stanford University, Stanford, CA 94305; eDepartment of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305; fDepartment of Pediatrics, Stanford University, Stanford, CA 94305; and gDepartment of Biomedical Data Science, Stanford University, Stanford, CA 94305 Edited by Scott V. Edwards, Harvard University, Cambridge, MA, and approved September 3, 2019 (received for review November 2, 2018) Distantly related species entering similar biological niches often parallel shifts in evolutionary rates in independent lineages of adapt by evolving similar morphological and physiological char- aquatic mammals (15). However, later analyses demonstrated that acters. How much genomic molecular convergence (particularly of the genome-wide frequency of molecular convergence in echolocating highly constrained coding sequence) contributes to convergent mammals is similar to the frequency in nonecholocating control phenotypic evolution, such as echolocation in bats and whales, is a outgroups, -
Transcriptional Recapitulation and Subversion Of
Open Access Research2007KaiseretVolume al. 8, Issue 7, Article R131 Transcriptional recapitulation and subversion of embryonic colon comment development by mouse colon tumor models and human colon cancer Sergio Kaiser¤*, Young-Kyu Park¤†, Jeffrey L Franklin†, Richard B Halberg‡, Ming Yu§, Walter J Jessen*, Johannes Freudenberg*, Xiaodi Chen‡, Kevin Haigis¶, Anil G Jegga*, Sue Kong*, Bhuvaneswari Sakthivel*, Huan Xu*, Timothy Reichling¥, Mohammad Azhar#, Gregory P Boivin**, reviews Reade B Roberts§, Anika C Bissahoyo§, Fausto Gonzales††, Greg C Bloom††, Steven Eschrich††, Scott L Carter‡‡, Jeremy E Aronow*, John Kleimeyer*, Michael Kleimeyer*, Vivek Ramaswamy*, Stephen H Settle†, Braden Boone†, Shawn Levy†, Jonathan M Graff§§, Thomas Doetschman#, Joanna Groden¥, William F Dove‡, David W Threadgill§, Timothy J Yeatman††, reports Robert J Coffey Jr† and Bruce J Aronow* Addresses: *Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA. †Departments of Medicine, and Cell and Developmental Biology, Vanderbilt University and Department of Veterans Affairs Medical Center, Nashville, TN 37232, USA. ‡McArdle Laboratory for Cancer Research, University of Wisconsin, Madison, WI 53706, USA. §Department of Genetics and Lineberger Cancer Center, University of North Carolina, Chapel Hill, NC 27599, USA. ¶Molecular Pathology Unit and Center for Cancer Research, Massachusetts deposited research General Hospital, Charlestown, MA 02129, USA. ¥Division of Human Cancer Genetics, The Ohio State University College of Medicine, Columbus, Ohio 43210-2207, USA. #Institute for Collaborative BioResearch, University of Arizona, Tucson, AZ 85721-0036, USA. **University of Cincinnati, Department of Pathology and Laboratory Medicine, Cincinnati, OH 45267, USA. ††H Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA. ‡‡Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology (CHIP@HST), Harvard Medical School, Boston, Massachusetts 02115, USA. -
A Group of Chimeric Antigen Receptors (Cars)
(19) *EP003632461A1* (11) EP 3 632 461 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 08.04.2020 Bulletin 2020/15 A61K 39/00 (2006.01) (21) Application number: 18198850.2 (22) Date of filing: 05.10.2018 (84) Designated Contracting States: (72) Inventors: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB • SALZER, Benjamin GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO 3744 Stockern (AT) PL PT RO RS SE SI SK SM TR •LEHNER, Manfred Designated Extension States: 1090 Vienna (AT) BA ME • TRAXLMAYR, Michael Designated Validation States: 1180 Vienna (AT) KH MA MD TN (74) Representative: Sonn & Partner Patentanwälte (71) Applicants: Riemergasse 14 • St. Anna Kinderkrebsforschung 1010 Wien (AT) 1090 Vienna (AT) • Universität für Bodenkultur Wien 1180 Wien (AT) (54) A GROUP OF CHIMERIC ANTIGEN RECEPTORS (CARS) (57) Disclosed is a group of chimeric antigen recep- regulating molecule and optionally reduced by another tors (CARs) consisting of two, three or four CAR mole- regulating molecule, or occurs in the absence of a regu- cules, lating molecule and is reduced by a regulating molecule, wherein the members of the group of CARs can be dif- and ferent or identical in their amino acid sequences to one wherein the ectodomain of each CAR molecule of the another, and group in its prevalent conformation is free of cysteine wherein each of the CAR molecules of the group com- amino acid moieties which are able to form intermolecular prise at least a transmembrane domain and an ectodo- disulphide bonds with other CAR molecules of the -
Chapter 2: a Technique for Generating Unbiased Whole Genome
UC San Diego UC San Diego Electronic Theses and Dissertations Title Massively Parallel Polymerase Cloning and Genome Sequencing of Single Cells Using the Microwell Displacement Amplification System (MIDAS) / Permalink https://escholarship.org/uc/item/8kn4n1wd Author Gole, Jeffrey Publication Date 2013 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Massively Parallel Polymerase Cloning and Genome Sequencing of Single Cells Using the Microwell Displacement Amplification System (MIDAS) A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioengineering by Jeffrey Gole Committee in charge: Professor Kun Zhang, Chair Professor Vineet Bafna Professor Michael Heller Professor Xiaohua Huang Professor Yu-Hwa Lo 2013 Copyright Jeffrey Gole, 2013 All rights reserved The Dissertation of Jeffrey Gole is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Chair University of California, San Diego 2013 iii DEDICATION For my parents iv TABLE OF CONTENTS SIGNATURE PAGE………………………………………………………………....iii DEDICATION ................................................................................................... iv TABLE OF CONTENTS ....................................................................................v LIST OF FIGURES.......................................................................................... vii LIST OF TABLES............................................................................................viii -
A Genomic Analysis of Rat Proteases and Protease Inhibitors
A genomic analysis of rat proteases and protease inhibitors Xose S. Puente and Carlos López-Otín Departamento de Bioquímica y Biología Molecular, Facultad de Medicina, Instituto Universitario de Oncología, Universidad de Oviedo, 33006-Oviedo, Spain Send correspondence to: Carlos López-Otín Departamento de Bioquímica y Biología Molecular Facultad de Medicina, Universidad de Oviedo 33006 Oviedo-SPAIN Tel. 34-985-104201; Fax: 34-985-103564 E-mail: [email protected] Proteases perform fundamental roles in multiple biological processes and are associated with a growing number of pathological conditions that involve abnormal or deficient functions of these enzymes. The availability of the rat genome sequence has opened the possibility to perform a global analysis of the complete protease repertoire or degradome of this model organism. The rat degradome consists of at least 626 proteases and homologs, which are distributed into five catalytic classes: 24 aspartic, 160 cysteine, 192 metallo, 221 serine, and 29 threonine proteases. Overall, this distribution is similar to that of the mouse degradome, but significatively more complex than that corresponding to the human degradome composed of 561 proteases and homologs. This increased complexity of the rat protease complement mainly derives from the expansion of several gene families including placental cathepsins, testases, kallikreins and hematopoietic serine proteases, involved in reproductive or immunological functions. These protease families have also evolved differently in the rat and mouse genomes and may contribute to explain some functional differences between these two closely related species. Likewise, genomic analysis of rat protease inhibitors has shown some differences with the mouse protease inhibitor complement and the marked expansion of families of cysteine and serine protease inhibitors in rat and mouse with respect to human. -
Chromatin Conformation Links Distal Target Genes to CKD Loci
BASIC RESEARCH www.jasn.org Chromatin Conformation Links Distal Target Genes to CKD Loci Maarten M. Brandt,1 Claartje A. Meddens,2,3 Laura Louzao-Martinez,4 Noortje A.M. van den Dungen,5,6 Nico R. Lansu,2,3,6 Edward E.S. Nieuwenhuis,2 Dirk J. Duncker,1 Marianne C. Verhaar,4 Jaap A. Joles,4 Michal Mokry,2,3,6 and Caroline Cheng1,4 1Experimental Cardiology, Department of Cardiology, Thoraxcenter Erasmus University Medical Center, Rotterdam, The Netherlands; and 2Department of Pediatrics, Wilhelmina Children’s Hospital, 3Regenerative Medicine Center Utrecht, Department of Pediatrics, 4Department of Nephrology and Hypertension, Division of Internal Medicine and Dermatology, 5Department of Cardiology, Division Heart and Lungs, and 6Epigenomics Facility, Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands ABSTRACT Genome-wide association studies (GWASs) have identified many genetic risk factors for CKD. However, linking common variants to genes that are causal for CKD etiology remains challenging. By adapting self-transcribing active regulatory region sequencing, we evaluated the effect of genetic variation on DNA regulatory elements (DREs). Variants in linkage with the CKD-associated single-nucleotide polymorphism rs11959928 were shown to affect DRE function, illustrating that genes regulated by DREs colocalizing with CKD-associated variation can be dysregulated and therefore, considered as CKD candidate genes. To identify target genes of these DREs, we used circular chro- mosome conformation capture (4C) sequencing on glomerular endothelial cells and renal tubular epithelial cells. Our 4C analyses revealed interactions of CKD-associated susceptibility regions with the transcriptional start sites of 304 target genes. Overlap with multiple databases confirmed that many of these target genes are involved in kidney homeostasis. -
Predict AID Targeting in Non-Ig Genes Multiple Transcription Factor
Downloaded from http://www.jimmunol.org/ by guest on September 26, 2021 is online at: average * The Journal of Immunology published online 20 March 2013 from submission to initial decision 4 weeks from acceptance to publication Multiple Transcription Factor Binding Sites Predict AID Targeting in Non-Ig Genes Jamie L. Duke, Man Liu, Gur Yaari, Ashraf M. Khalil, Mary M. Tomayko, Mark J. Shlomchik, David G. Schatz and Steven H. Kleinstein J Immunol http://www.jimmunol.org/content/early/2013/03/20/jimmun ol.1202547 Submit online. Every submission reviewed by practicing scientists ? is published twice each month by http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://www.jimmunol.org/content/suppl/2013/03/20/jimmunol.120254 7.DC1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2013 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 26, 2021. Published March 20, 2013, doi:10.4049/jimmunol.1202547 The Journal of Immunology Multiple Transcription Factor Binding Sites Predict AID Targeting in Non-Ig Genes Jamie L. Duke,* Man Liu,†,1 Gur Yaari,‡ Ashraf M. Khalil,x Mary M. Tomayko,{ Mark J. Shlomchik,†,x David G. -
Identification of the Zeo1 Protein As a Candidate Structural Homolog of Α-Synuclein In
14 March 2015 Identification of the Zeo1 Protein as a Candidate Structural Homolog of α-Synuclein in Budding Yeast Sepehr Ehsani1,2 1Whitehead Institute for Biomedical Research, Cambridge, MA 02142, United States 2Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, United States [email protected] ABSTRACT Human α-synuclein (SNCA) is a 140-amino-acid protein belonging to the three-member synuclein family. It has been extensively studied due to its misfolding/aggregation in and genetic linkage to neurodegenerative diseases, especially Parkinson’s disease (PD). To better understand its biology, models of SNCA toxicity have been developed in budding yeast over the past decade, which have yielded insights into the protein’s modes of action in specific pathways and potential therapeutic targets. Given that the synuclein gene family is not present in yeast, an extensive homology search was undertaken to determine if any yeast protein may possess structural homology to SNCA and whose native biology may shed more light on SNCA’s pathomechanism in eukaryotes. We identified Zeo1, a membrane-associated protein involved in the cell wall integrity (CWI) pathway, as a candidate structural homolog. We show that Zeo1 overexpression is toxic in yeast and, similar to SNCA, localizes to lipid membranes. A number of biochemical similarities between Zeo1 and SNCA also become apparent in light of this potential structural connection. Moreover, the yeast PKC1 gene, a kinase acting as a downstream signaling hub in the CWI pathway, rescues both SNCA- and Zeo1-induced toxicities. Using the same homology search methods that identified Zeo1, we show that Pkc1 has a hybrid structural similarity to PINK1 and PARIS, two mitochondrial PD-implicated proteins not generally linked directly to synuclein-specific pathobiology.