Genome-Wide SNP-Based Linkage Analysis of Tuberculosis in Thais
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Supplementary Information Integrative Analyses of Splicing in the Aging Brain: Role in Susceptibility to Alzheimer’S Disease
Supplementary Information Integrative analyses of splicing in the aging brain: role in susceptibility to Alzheimer’s Disease Contents 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project 1.2. Mount Sinai Brain Bank Alzheimer’s Disease 1.3. CommonMind Consortium 1.4. Data Availability 2. Supplementary Tables 3. Supplementary Figures Note: Supplementary Tables are provided as separate Excel files. 1. Supplementary Notes 1.1. Religious Orders Study and Memory and Aging Project Gene expression data1. Gene expression data were generated using RNA- sequencing from Dorsolateral Prefrontal Cortex (DLPFC) of 540 individuals, at an average sequence depth of 90M reads. Detailed description of data generation and processing was previously described2 (Mostafavi, Gaiteri et al., under review). Samples were submitted to the Broad Institute’s Genomics Platform for transcriptome analysis following the dUTP protocol with Poly(A) selection developed by Levin and colleagues3. All samples were chosen to pass two initial quality filters: RNA integrity (RIN) score >5 and quantity threshold of 5 ug (and were selected from a larger set of 724 samples). Sequencing was performed on the Illumina HiSeq with 101bp paired-end reads and achieved coverage of 150M reads of the first 12 samples. These 12 samples will serve as a deep coverage reference and included 2 males and 2 females of nonimpaired, mild cognitive impaired, and Alzheimer's cases. The remaining samples were sequenced with target coverage of 50M reads; the mean coverage for the samples passing QC is 95 million reads (median 90 million reads). The libraries were constructed and pooled according to the RIN scores such that similar RIN scores would be pooled together. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Toxicogenomics Applications of New Functional Genomics Technologies in Toxicology
\-\w j Toxicogenomics Applications of new functional genomics technologies in toxicology Wilbert H.M. Heijne Proefschrift ter verkrijging vand egraa dva n doctor opgeza gva nd e rector magnificus vanWageninge n Universiteit, Prof.dr.ir. L. Speelman, in netopenbaa r te verdedigen op maandag6 decembe r200 4 des namiddagst e half twee ind eAul a - Table of contents Abstract Chapter I. page 1 General introduction [1] Chapter II page 21 Toxicogenomics of bromobenzene hepatotoxicity: a combined transcriptomics and proteomics approach[2] Chapter III page 48 Bromobenzene-induced hepatotoxicity atth etranscriptom e level PI Chapter IV page 67 Profiles of metabolites and gene expression in rats with chemically induced hepatic necrosis[4] Chapter V page 88 Liver gene expression profiles in relation to subacute toxicity in rats exposed to benzene[5] Chapter VI page 115 Toxicogenomics analysis of liver gene expression in relation to subacute toxicity in rats exposed totrichloroethylen e [6] Chapter VII page 135 Toxicogenomics analysis ofjoin t effects of benzene and trichloroethylene mixtures in rats m Chapter VII page 159 Discussion and conclusions References page 171 Appendices page 187 Samenvatting page 199 Dankwoord About the author Glossary Abbreviations List of genes Chapter I General introduction Parts of this introduction were publishedin : Molecular Biology in Medicinal Chemistry, Heijne etal., 2003 m NATO Advanced Research Workshop proceedings, Heijne eral., 2003 81 Chapter I 1. General introduction 1.1 Background /.1.1 Toxicologicalrisk -
Grant Application Form Please Complete the Following Form for IETF
©2007 IETF Grant Application Form Please complete the following form for IETF grant applications. This form and all the attachments below must be combined into one document before submitting electronically. Grant submissions will not be accepted otherwise. Attachments Required 1. Specific aims of the proposal (1 page maximum). 2. Rationale of the proposal and relevance to essential tremor (1-2 pages maximum). 3. Preliminary data, if available should be incorporated into the Rationale/Relevance section. Preliminary data are not required for a proposal. However, if preliminary data are referred to in the proposal rationale, or have been used to formulate the hypotheses to be tested, such information must be formally presented in this section. 4. Research methods and procedures (1-2 pages maximum). 5. Anticipated results (half-page maximum). 6. Detailed budget and justification (1 page maximum). 7. Biographic sketch of principal investigator and all professional personnel participating in the project (standard NIH format, including biosketch and other support). 8. Copies of relevant abstracts and/or articles that have been published, are in press, or have been submitted for publication. 9. Completed conflict of interest questionnaire. Project Title: ____________________________________________________________________________ Sponsoring Institution: ____________________________________________________________________ Principal Investigator: Last Name: _______________________________ First Name: ______________________ Middle Initial: __ Degree(s): -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Research Article
z Available online at http://www.journalcra.com INTERNATIONAL JOURNAL OF CURRENT RESEARCH International Journal of Current Research Vol. 10, Issue, 05, pp.69389-69394, May, 2018 ISSN: 0975-833X RESEARCH ARTICLE PATHWAY MAPPING OF PROTEINS INVOLVED IN MULTIPLE SCLEROSIS AND IDENTIFICATION OF NOVEL PROTEINS *Ruchi Yadav and Samreen Rizvi AMITY Institute of Biotechnology, AMITY University, Uttar Pradesh Lucknow Campus, 226028, UP, India ARTICLE INFO ABSTRACT Article History: WASH in the urban areas Multiple sclerosis is an unpredictable potentially disabling disease that Received 14th February, 2018 causes disruption of the myelin that insulates and protects nerve cells of spinal cord and brain and Received in revised form permits electrical impulses to be conducted along the nerve fiber with speed and accuracy. So this 02nd March, 2018 disease disrupts central nervous system by damaging or demyelinating the insulated covers of nerve Accepted 09th April, 2018 cells. In this paper we have made network of interacting proteins of more than 300 interacting Published online 30th May, 2018 proteins identified from protein interaction database .Initially 14 proteins were identified from Uni Prot database that were involved in multiple sclerosis disease . Gene Cards database was used to Key words: study pathways of proteins involved in network and new network was made that classifies interacting proteins on the basis of pathways involves. We found Three proteins, APBB2, APBB3 and MMP15 Multiple Sclerosis, Pathway Mapping, having no information about pathway and disease in which they are involved. New Network was Protein Interaction, String Database, Gene designed to predicted pathway of these novel proteins, APBB2, APBB3 and MMP15, network Mania Database. -
Termination of RNA Polymerase II Transcription by the 5’-3’ Exonuclease Xrn2
TERMINATION OF RNA POLYMERASE II TRANSCRIPTION BY THE 5’-3’ EXONUCLEASE XRN2 by MICHAEL ANDRES CORTAZAR OSORIO B.S., Universidad del Valle – Colombia, 2011 A thesis submitted to the Faculty of the Graduate School of the University of Colorado in partial fulfillment of the requirements for the degree of Doctor of Philosophy Molecular Biology Program 2018 This thesis for the Doctor of Philosophy degree by Michael Andrés Cortázar Osorio has been approved for the Molecular Biology Program by Mair Churchill, Chair Richard Davis Jay Hesselberth Thomas Blumenthal James Goodrich David Bentley, Advisor Date: Aug 17, 2018 ii Cortázar Osorio, Michael Andrés (Ph.D., Molecular Biology) Termination of RNA polymerase II transcription by the 5’-3’ exonuclease Xrn2 Thesis directed by Professor David L. Bentley ABSTRACT Termination of transcription occurs when RNA polymerase (pol) II dissociates from the DNA template and releases a newly-made mRNA molecule. Interestingly, an active debate fueled by conflicting reports over the last three decades is still open on which of the two main models of termination of RNA polymerase II transcription does in fact operate at 3’ ends of genes. The torpedo model indicates that the 5’-3’ exonuclease Xrn2 targets the nascent transcript for degradation after cleavage at the polyA site and chases pol II for termination. In contrast, the allosteric model asserts that transcription through the polyA signal induces a conformational change of the elongation complex and converts it into a termination-competent complex. In this thesis, I propose a unified allosteric-torpedo mechanism. Consistent with a polyA site-dependent conformational change of the elongation complex, I found that pol II transitions at the polyA site into a mode of slow transcription elongation that is accompanied by loss of Spt5 phosphorylation in the elongation complex. -
Systems Biology Approaches to Mining High Throughput Biological Data
BioMed Research International Systems Biology Approaches to Mining High Throughput Biological Data Guest Editors: Fang-Xiang Wu, Min Li, Jishou Ruan, and Feng Luo Systems Biology Approaches to Mining High Throughput Biological Data BioMed Research International Systems Biology Approaches to Mining High Throughput Biological Data Guest Editors: Fang-Xiang Wu, Min Li, Jishou Ruan, and Feng Luo Copyright © 2015 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “BioMed Research International.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Contents Systems Biology Approaches to Mining High Throughput Biological Data, Fang-Xiang Wu, Min Li, Jishou Ruan, and Feng Luo Volume 2015, Article ID 504362, 2 pages ProSim: A Method for Prioritizing Disease Genes Based on Protein Proximity and Disease Similarity, Gamage Upeksha Ganegoda, Yu Sheng, and Jianxin Wang Volume 2015, Article ID 213750, 11 pages Differential Expression Analysis in RNA-Seq by a Naive Bayes Classifier with Local Normalization, YongchaoDou,XiaomeiGuo,LinglingYuan,DavidR.Holding,andChiZhang Volume 2015, Article ID 789516, 9 pages ?? -Profiles: A Nonlinear Clustering Method for Pattern Detection in High Dimensional, Data Kai Wang, Qing Zhao, Jianwei Lu, and Tianwei Yu Volume 2015, Article ID 918954, 10 pages Screening Ingredients from Herbs against Pregnane X Receptor in -
Spatial Localization of Genes Determined by Intranu- Clear DNA Fragmentation with the Fusion Proteins Lamin KRED and Histone
Int. J. Med. Sci. 2013, Vol. 10 1136 Ivyspring International Publisher International Journal of Medical Sciences 2013; 10(9):1136-1148. doi: 10.7150/ijms.6121 Research Paper Spatial Localization of Genes Determined by Intranu- clear DNA Fragmentation with the Fusion Proteins Lamin KRED and Histone KRED und Visible Light Waldemar Waldeck1, Gabriele Mueller1, Karl-Heinz Glatting3, Agnes Hotz-Wagenblatt3, Nicolle Diessl4, Sasithorn Chotewutmonti4, Jörg Langowski1, Wolfhard Semmler2, Manfred Wiessler2 and Klaus Braun2 1. German Cancer Research Center, Dept. of Biophysics of Macromolecules, INF 580, D-69120 Heidelberg, Germany; 2. German Cancer Research Center, Dept. of Medical Physics in Radiology, INF 280, D-69120 Heidelberg, Germany; 3. German Cancer Research Center, Genomics Proteomics Core Facility HUSAR Bioinformatics Lab, INF 580, D-69120 Heidelberg, Ger- many; 4. German Cancer Research Center, Genomics and Proteomics Core Facility High Throughput Sequencing, INF 580, D-69120 Heidelberg, Germany. Corresponding author: Dr. Klaus Braun, German Cancer Research Center (DKFZ), Dept. of Medical Physics in Radiology, Im Neuenheimer Feld 280, D-69120 Heidelberg, Germany. Phone: +49 6221-42 3329 Fax: +49 6221-42 3326 e-mail: [email protected]. © Ivyspring International Publisher. This is an open-access article distributed under the terms of the Creative Commons License (http://creativecommons.org/ licenses/by-nc-nd/3.0/). Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. Received: 2013.02.22; Accepted: 2013.06.06; Published: 2013.07.07 Abstract The highly organized DNA architecture inside of the nuclei of cells is accepted in the scientific world. In the human genome about 3 billion nucleotides are organized as chromatin in the cell nucleus. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Toward Understanding the Role of P53 in Cardiovascular Diseases
J. Biomedical Science and Engineering, 2013, 6, 209-212 JBiSE http://dx.doi.org/10.4236/jbise.2013.62A025 Published Online February 2013 (http://www.scirp.org/journal/jbise/) Toward understanding the role of p53 in cardiovascular diseases Mohanalatha Chandrasekharan1, Silvia Vasquez2, Rajesh Kumar Galimudi3, Prashanth Suravajhala1 1Bioclues.org, IKP Knowledge Park, Secunderabad, India 2Instituto Peruano de Energía Nuclear, Centro Nuclear RACSO, Lima, Perú 3Department of Genetics, Osmania University, Hyderabad, India Email: [email protected], [email protected], [email protected], [email protected] Received 14 November 2012; revised 15 December 2012; accepted 22 December 2012 ABSTRACT hypertrophy to heart failure through the suppression of hypoxia inducible factor-1 (HIF-1), which regulates an- Tumour suppressor protein 53 (TP53 or simply p53) giogenesis in the hypertrophied heart. In addition, as p53 is a well known protein linked to apoptosis, cell sig- is known to promote apoptosis, which in turn is involved nalling, cascading and several myriad functions in in heart failure, p53 might be a key molecule in trigger- cells. Many diseases are linked to p53 though analysis ing the development of heart failure from multiple me- show only 216 interaction partners. Whether p53 chanisms [5,6]. While p53 can modulate the activity and plays an important role in cardiovascular diseases expression of some other proteins have been recently (CVD) remains uncertain. Through this bioinfor- studied, whether or not there are potentially beneficial matical analysis, we propose that p53 might play a effects remains to be understood. The actions of the ag- major role in CVD whilst being linked to Hypoxia ing proteins on the CVD have been well studied [7] with and Lupus.