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Expression and Prognostic Role of IKBKE and TBK1 in Stage I Non-Small Cell Lung Cancer
Cancer Management and Research Dovepress open access to scientific and medical research Open Access Full Text Article ORIGINAL RESEARCH Expression and prognostic role of IKBKE and TBK1 in stage I non-small cell lung cancer This article was published in the following Dove Press journal: Cancer Management and Research Xin Wang1,2 Background: The inhibitors of nuclear factor kappa-B kinase subunit epsilon (IKBKE) and Feifei Teng2 TANK-binding kinase 1 (TBK1) are important members of the nonclassical IKK family that Jie Lu3 share the kinase domain. They are important oncogenes for activation of several signaling Dianbin Mu4 pathways in several tumors. This study aims to explore the expression of IKBKE and TBK1 Jianbo Zhang4 and their prognostic role in stage I non-small cell lung cancer (NSCLC). Jinming Yu1,2 Patients and methods: A total of 142 surgically resected stage I NSCLC patients were enrolled and immunohistochemistry of IKBKE and TBK1 was performed. 1 Department of Oncology, Renmin Results: IKBKE and TBK1 were expressed in 121 (85.2%) and 114 (80.3%) of stage I Hospital of Wuhan University, Wuhan, fi Hubei 430060, People’s Republic of China; NSCLC patients respectively. IKBKE expression was signi cantly associated with TBK1 2Department of Radiation Oncology, expression (P=0.004). Furthermore, multivariate regression analyses showed there was a fi Shandong Cancer Hospital Af liated to significant relationship between patients with risk factors, the recurrence pattern of metas- Shandong University, Shandong Academy of Medical Sciences, Jinan, Shandong tasis and IKBKE+/TBK1+ co-expression (P=0.032 and P=0.022, respectively). In Kaplan– 250117, People’s Republic of China; Meier survival curve analyses, the IKBKE+/TBK1+ co-expression subgroup was signifi- 3Department of Neurosurgery, Shandong Province Qianfoshan Hospital of Shandong cantly associated with poor overall survival (P=0.014). -
Microbes and Metagenomics in Human Health an Overview of Recent Publications Featuring Illumina® Technology TABLE of CONTENTS
Microbes and Metagenomics in Human Health An overview of recent publications featuring Illumina® technology TABLE OF CONTENTS 4 Introduction 5 Human Microbiome Gut Microbiome Gut Microbiome and Disease Inflammatory Bowel Disease (IBD) Metabolic Diseases: Diabetes and Obesity Obesity Oral Microbiome Other Human Biomes 25 Viromes and Human Health Viral Populations Viral Zoonotic Reservoirs DNA Viruses RNA Viruses Human Viral Pathogens Phages Virus Vaccine Development 44 Microbial Pathogenesis Important Microorganisms in Human Health Antimicrobial Resistance Bacterial Vaccines 54 Microbial Populations Amplicon Sequencing 16S: Ribosomal RNA Metagenome Sequencing: Whole-Genome Shotgun Metagenomics Eukaryotes Single-Cell Sequencing (SCS) Plasmidome Transcriptome Sequencing 63 Glossary of Terms 64 Bibliography This document highlights recent publications that demonstrate the use of Illumina technologies in immunology research. To learn more about the platforms and assays cited, visit www.illumina.com. An overview of recent publications featuring Illumina technology 3 INTRODUCTION The study of microbes in human health traditionally focused on identifying and 1. Roca I., Akova M., Baquero F., Carlet J., treating pathogens in patients, usually with antibiotics. The rise of antibiotic Cavaleri M., et al. (2015) The global threat of resistance and an increasingly dense—and mobile—global population is forcing a antimicrobial resistance: science for interven- tion. New Microbes New Infect 6: 22-29 1, 2, 3 change in that paradigm. Improvements in high-throughput sequencing, also 2. Shallcross L. J., Howard S. J., Fowler T. and called next-generation sequencing (NGS), allow a holistic approach to managing Davies S. C. (2015) Tackling the threat of anti- microbial resistance: from policy to sustainable microbes in human health. -
Bioinformatics Tools for RNA-Seq Gene and Isoform Quantification
on: Sequ ati en er c n in e g G & t x A Journal of e p Zhang, et al., Next Generat Sequenc & Applic p N l f i c o 2016, 3:3 a l t a i o n r ISSN: 2469-9853n u s DOI: 10.4172/2469-9853.1000140 o Next Generation Sequencing & Applications J Review Article Open Access Bioinformatics Tools for RNA-seq Gene and Isoform Quantification Chi Zhang1, Baohong Zhang1, Michael S Vincent2 and Shanrong Zhao1* 1Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, USA 2Inflammation and Immunology RU, Pfizer Worldwide R&D, Cambridge, MA, USA *Corresponding author: Shanrong Zhao, Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA, Tel: + 1-212-733-2323; E-mail: [email protected] Rec date: Oct 27, 2016; Acc date: Dec 15, 2016; Pub date: Dec 17, 2016 Copyright: © 2016 Zhang C, et al. This is an open-access article distributed under the terms of the creative commons attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract In recent years, RNA-seq has emerged as a powerful technology in estimation of gene or transcript expression. ‘Union-exon’ and transcript based approaches are widely used in gene quantification. The ‘Union-exon’ based approach is simple, but it does not distinguish between isoforms when multiple alternatively spliced transcripts are expressed from the same gene. Because a gene is expressed in one or more transcript isoforms, the transcript based approach is more biologically meaningful than the ‘union exon’-based approach. -
Workflows for Rapid Functional Annotation of Diverse
insects Article Workflows for Rapid Functional Annotation of Diverse Arthropod Genomes Surya Saha 1,2 , Amanda M. Cooksey 2,3, Anna K. Childers 4 , Monica F. Poelchau 5 and Fiona M. McCarthy 2,* 1 Boyce Thompson Institute, 533 Tower Rd., Ithaca, NY 14853, USA; [email protected] 2 School of Animal and Comparative Biomedical Sciences, University of Arizona, 1117 E. Lowell St., Tucson, AZ 85721, USA; [email protected] 3 CyVerse, BioScience Research Laboratories, University of Arizona, 1230 N. Cherry Ave., Tucson, AZ 85721, USA 4 Bee Research Laboratory, Beltsville Agricultural Research Center, Agricultural Research Service, USDA, 10300 Baltimore Ave., Beltsville, MD 20705, USA; [email protected] 5 National Agricultural Library, Agricultural Research Service, USDA, 10301 Baltimore Ave., Beltsville, MD 20705, USA; [email protected] * Correspondence: fi[email protected] Simple Summary: Genomic technologies are accumulating information about genes faster than ever before, and sequencing initiatives, such as the Earth BioGenome Project, i5k, and Ag100Pest Initiative, are expected to increase this rate of acquisition. However, if genomic sequencing is to be used for the improvement of human health, agriculture, and our understanding of biological systems, it is necessary to identify genes and understand how they contribute to biological outcomes. While there are several well-established workflows for assembling genomic sequences and identifying genes, understanding gene function is essential to create actionable knowledge. Moreover, this functional annotation process must be easily accessible and provide information at a genomic scale to keep up Citation: Saha, S.; Cooksey, A.M.; with new sequence data. We report a well-defined workflow for rapid functional annotation of whole Childers, A.K.; Poelchau, M.F.; proteomes to produce Gene Ontology and pathways information. -
Molecular Basis of Tank-Binding Kinase 1 Activation by Transautophosphorylation
Molecular basis of Tank-binding kinase 1 activation by transautophosphorylation Xiaolei Maa,1, Elizabeth Helgasonb,1, Qui T. Phungc, Clifford L. Quanb, Rekha S. Iyera, Michelle W. Leec, Krista K. Bowmana, Melissa A. Starovasnika, and Erin C. Dueberb,2 Departments of aStructural Biology, bEarly Discovery Biochemistry, and cProtein Chemistry, Genentech, South San Francisco, CA 94080 Edited by Tony Hunter, Salk Institute for Biological Studies, La Jolla, CA, and approved April 25, 2012 (received for review December 30, 2011) Tank-binding kinase (TBK)1 plays a central role in innate immunity: it the C-terminal scaffolding/dimerization domain (SDD), a do- serves as an integrator of multiple signals induced by receptor- main arrangement that appears to be shared among the IKK mediated pathogen detection and as a modulator of IFN levels. family of kinases (3). Deletion or mutation of the ULD in TBK1 Efforts to better understand the biology of this key immunological or IKKε severely impairs kinase activation and substrate phos- factor have intensified recently as growing evidence implicates phorylation in cells (22, 23). Furthermore, the integrity of the aberrant TBK1 activity in a variety of autoimmune diseases and ULD in IKKβ is not only required for kinase activity (24) but was fi cancers. Nevertheless, key molecular details of TBK1 regulation and shown also to confer substrate speci city in conjunction with the β substrate selection remain unanswered. Here, structures of phos- adjacent SDD (25). Recent crystal structures of the IKK phorylated and unphosphorylated human TBK1 kinase and ubiq- homodimer demonstrate that the ULD and SDD form a joint, uitin-like domains, combined with biochemical studies, indicate three-way interface with the KD within each protomer of the a molecular mechanism of activation via transautophosphorylation. -
The Chromosome-Centric Human Proteome Project for Cataloging Proteins Encoded in the Genome
CORRESPONDENCE The Chromosome-Centric Human Proteome Project for cataloging proteins encoded in the genome To the Editor: utility for biological and disease studies. Table 1 Features of salient genes on The Chromosome-Centric Human With development of new tools for in- chromosomes 13 and 17 Proteome Project (C-HPP) aims to define depth characterization of the transcriptome Genea AST nsSNPs the full set of proteins encoded in each and proteome, the HPP is well positioned Chromosome 13 chromosome through development of a to have a strategic role in addressing the BRCA2 3 54 standardized approach for analyzing the complexity of human phenotypes. With this RB1 2 3 massive proteomic data sets currently being in mind, the HUPO has organized national IRS2 1 3 generated from dedicated efforts of national chromosome teams that will collaborate and international teams. The initial goal with well-established laboratories building Chromosome 17 of the C-HPP is to identify at least one complementary proteotypic peptides, BRCA1 24 24 representative protein encoded by each of antibodies and informatics resources. ERBB2 6 13 the approximately 20,300 human genes1,2. An important C-HPP goal is to encourage TP53 14 5 aEnsembl protein and AST information can be found at The proteins will be characterized for tissue capture and open sharing of proteomic http://www.ensembl.org/Homo_sapiens/. localization and major isoforms, including data sets from diverse samples to enhance AST, alternative splicing transcript; nsSNP, nonsyno- mous single-nucleotide polyphorphism assembled from post-translational modifications (PTMs), a gene- and chromosome-centric display data from the 1000 Genomes Projects. -
Mechanisms of IKBKE Activation in Cancer Sridevi Challa University of South Florida, [email protected]
University of South Florida Scholar Commons Graduate Theses and Dissertations Graduate School 1-29-2017 Mechanisms of IKBKE Activation in Cancer Sridevi Challa University of South Florida, [email protected] Follow this and additional works at: http://scholarcommons.usf.edu/etd Part of the Biochemistry Commons, Biology Commons, and the Cell Biology Commons Scholar Commons Citation Challa, Sridevi, "Mechanisms of IKBKE Activation in Cancer" (2017). Graduate Theses and Dissertations. http://scholarcommons.usf.edu/etd/6617 This Dissertation is brought to you for free and open access by the Graduate School at Scholar Commons. It has been accepted for inclusion in Graduate Theses and Dissertations by an authorized administrator of Scholar Commons. For more information, please contact [email protected]. Mechanisms of IKBKE Activation in Cancer by Sridevi Challa A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy Department of Cell Biology, Microbiology, and Molecular Biology College of Arts and Sciences University of South Florida Major Professor: Mokenge P. Malafa, M.D. Gary Reuther, Ph.D. Eric Lau, Ph.D. Domenico Coppola, M.D. Date of Approval: January 12, 2017 Keywords: EGFR, Olaparib, resistance Copyright © 2017, Sridevi Challa DEDICATION This dissertation is dedicated to my kind and courageous mother. ACKNOWLEDGMENTS I would like to acknowledge Dr. Cheng for trusting me with completion of the projects. I would like to thank him for giving me the freedom to explore any aspect of research and always willing to provide the necessary resources and guidance for my projects. I want to also acknowledge Ted and the Cheng lab personnel for their support. -
Supp Material.Pdf
Supplemental Material STRESS-INDUCED H3S28 PHOSPHORYLATION MODULATES LOCAL HISTONE ACETYLATION LEVELS Anna Sawicka, Dominik Hartl, Malgorzata Goiser, Oliver Pusch, Roman R Stocsits, Ido M Tamir, Karl Mechtler, Christian Seiser Supplemental Methods Supplemental Figure Legends Supplemental Tables (SUPPL. TABLES 1-2, 4-5) Supplemental Tables (SUPPL. TABLES 3, 6-9, provided as txt files) References Supplemental Figures (SUPPL. FIGURES 1-21) Supplemental Methods Histone peptides used for the pull-down assay and mass spectrometry analysis: H3unmodified (3-20): H2N-TKQTARKSTGGKAPRKQLC-CONH2 H3S10phK14ac (3-20): H2N-TKQTARKS(ph)TGGK(Ac)APRKQLC -CONH2 H3unmodified (19-36): H2N-QLATKAARKSAPATGGVKKC-CONH2 H3S28ph (19-36): H2N-QLATKAARKS(ph)APATGGVKKC-CONH2 Histone peptide pull-down assay For histone peptide pull down assays, 0.1 mg of synthetic peptides (peptide sequences are given above), corresponding to amino acids 3-20 and 19-36 of histone H3 (numbered from N-terminus of histone H3) with a C-terminal cysteine added were coupled to 40 µl (bed volume) of SulfoLink Coupling Resin (Thermo Scientific) according to the manufacturerʼs instructions. Peptide-coupled resin was incubated overnight at 4oC on a roller with 500 µg of nuclear extract (isolated from proliferating HeLa cells treated with 188.5 nM Anisomycin for 1 hour) diluted to 0.5 µg/µl in the binding buffer (20 mM Tris-HCl pH 8.0, 135 mM NaCl, 0.5% NP40, 10% glycerol). The beads were washed 3 times 20 mM Tris-HCl pH 8.0, 135 mM NaCl, 0.5% NP40, 10% glycerol, followed by two washes with 200 mM NaCl, 50 mM Tris-HCl pH 8.0, 0.1 % SDS, 0.1% NP40, 0.5% sodium deoxycholate. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem. -
Glossary of Terms
GLOSSARY OF TERMS Table of Contents A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z A Amino acids: any of a class of 20 molecules that are combined to form proteins in living things. The sequence of amino acids in a protein and hence protein function are determined by the genetic code. From http://www.geneticalliance.org.uk/glossary.htm#C • The building blocks of proteins, there are 20 different amino acids. From https://www.yourgenome.org/glossary/amino-acid Antisense: Antisense nucleotides are strings of RNA or DNA that are complementary to "sense" strands of nucleotides. They bind to and inactivate these sense strands. They have been used in research, and may become useful for therapy of certain diseases (See Gene silencing). From http://www.encyclopedia.com/topic/Antisense_DNA.aspx. Antisense and RNA interference are referred as gene knockdown technologies: the transcription of the gene is unaffected; however, gene expression, i.e. protein synthesis (translation), is lost because messenger RNA molecules become unstable or inaccessible. Furthermore, RNA interference is based on naturally occurring phenomenon known as Post-Transcriptional Gene Silencing. From http://www.ncbi.nlm.nih.gov/probe/docs/applsilencing/ B Biobank: A biobank is a large, organised collection of samples, usually human, used for research. Biobanks catalogue and store samples using genetic, clinical, and other characteristics such as age, gender, blood type, and ethnicity. Some samples are also categorised according to environmental factors, such as whether the donor had been exposed to some substance that can affect health. -
A Clinically Validated Human Capillary Blood Transcriptome Test for Global Systems Biology Studies
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.22.110080; this version posted May 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. A clinically validated human capillary blood transcriptome test for global systems biology studies Ryan Toma1, Ben Pelle2, Nathan Duval1, Matthew M Parks1, Vishakh Gopu1, Hal Tily1, Andrew Hatch1, Ally Perlina1, Guruduth Banavar1, and Momchilo Vuyisich1* 1 Viome, Inc., Bellevue, WA, USA, viome.com, 2 The University of Washington, Seattle, USA *Corresponding author: Momchilo Vuyisich, [email protected] Abstract should be integrated into longitudinal, population- scale, systems biology studies. Chronic diseases are the leading cause of morbidity and mortality globally. Yet, the majority of Introduction them have unknown etiologies, and genetic Quantitative gene expression analysis contribution is weak. In addition, many of the chronic provides a global snapshot of tissue function. The diseases go through the cycles of relapse and human transcriptome varies with tissue type, remission, during which the genomic DNA does not developmental stage, environmental stimuli, and change. This strongly suggests that human gene health/disease state (Frith et al., 2005; Lin et al., 2019; expression is the main driver of chronic disease onset Marioni et al., 2008; Mortazavi et al., 2008; Velculescu and relapses. To identify the etiology of chronic et al., 1999). Changes in the expression patterns can diseases and develop more effective preventative provide insights into the molecular mechanisms of measures, a comprehensive gene expression analysis disease onset and progression. In the era of precision of the human body is needed. -
Bioinformatic Pipelines for Whole Transcriptome Sequencing Data Exploitation in Leukemia Patients with Complex Structural Variants
Bioinformatic pipelines for whole transcriptome sequencing data exploitation in leukemia patients with complex structural variants Jakub Hynst1,2, Karla Plevova1,2,3, Lenka Radova1, Vojtech Bystry1, Karol Pal1,2 and Sarka Pospisilova1,2,3 1 Central European Institute of Technology, Masaryk University, Brno, Czech Republic 2 Department of Internal Medicine—Hematology and Oncology, Faculty of Medicine, Masaryk University, Brno, Czech Republic 3 Department of Internal Medicine—Hematology and Oncology, University Hospital Brno, Brno, Czech Republic ABSTRACT Background. Extensive genome rearrangements, known as chromothripsis, have been recently identified in several cancer types. Chromothripsis leads to complex structural variants (cSVs) causing aberrant gene expression and the formation of de novo fusion genes, which can trigger cancer development, or worsen its clinical course. The functional impact of cSVs can be studied at the RNA level using whole transcriptome sequencing (total RNA-Seq). It represents a powerful tool for discovering, profiling, and quantifying changes of gene expression in the overall genomic context. However, bioinformatic analysis of transcriptomic data, especially in cases with cSVs, is a complex and challenging task, and the development of proper bioinformatic tools for transcriptome studies is necessary. Methods. We designed a bioinformatic workflow for the analysis of total RNA-Seq data Submitted 30 December 2018 consisting of two separate parts (pipelines): The first pipeline incorporates a statistical Accepted 6 May 2019 solution for differential gene expression analysis in a biologically heterogeneous sample Published 12 June 2019 set. We utilized results from transcriptomic arrays which were carried out in parallel to Corresponding authors increase the precision of the analysis. The second pipeline is used for the identification Karla Plevova, of de novo fusion genes.