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Network Medicine Approach for Analysis of Alzheimer's Disease Gene Expression Data
International Journal of Molecular Sciences Article Network Medicine Approach for Analysis of Alzheimer’s Disease Gene Expression Data David Cohen y, Alexander Pilozzi y and Xudong Huang * Neurochemistry Laboratory, Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA; [email protected] (D.C.); [email protected] (A.P.) * Correspondence: [email protected]; Tel./Fax: +1-617-724-9778 These authors contributed equally to this work. y Received: 15 November 2019; Accepted: 30 December 2019; Published: 3 January 2020 Abstract: Alzheimer’s disease (AD) is the most widespread diagnosed cause of dementia in the elderly. It is a progressive neurodegenerative disease that causes memory loss as well as other detrimental symptoms that are ultimately fatal. Due to the urgent nature of this disease, and the current lack of success in treatment and prevention, it is vital that different methods and approaches are applied to its study in order to better understand its underlying mechanisms. To this end, we have conducted network-based gene co-expression analysis on data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database. By processing and filtering gene expression data taken from the blood samples of subjects with varying disease states and constructing networks based on that data to evaluate gene relationships, we have been able to learn about gene expression correlated with the disease, and we have identified several areas of potential research interest. Keywords: Alzheimer’s disease; network medicine; gene expression; neurodegeneration; neuroinflammation 1. Introduction Alzheimer’s disease (AD) is the most widespread diagnosed cause of dementia in the elderly [1]. -
TMEM59 (NM 004872) Human Recombinant Protein Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for TP305624 TMEM59 (NM_004872) Human Recombinant Protein Product data: Product Type: Recombinant Proteins Description: Recombinant protein of human transmembrane protein 59 (TMEM59) Species: Human Expression Host: HEK293T Tag: C-Myc/DDK Predicted MW: 36 kDa Concentration: >50 ug/mL as determined by microplate BCA method Purity: > 80% as determined by SDS-PAGE and Coomassie blue staining Buffer: 25 mM Tris.HCl, pH 7.3, 100 mM glycine, 10% glycerol Preparation: Recombinant protein was captured through anti-DDK affinity column followed by conventional chromatography steps. Storage: Store at -80°C. Stability: Stable for 12 months from the date of receipt of the product under proper storage and handling conditions. Avoid repeated freeze-thaw cycles. RefSeq: NP_004863 Locus ID: 9528 UniProt ID: Q9BXS4 RefSeq Size: 1709 Cytogenetics: 1p32.3 RefSeq ORF: 972 Synonyms: C1orf8; DCF1; HSPC001; PRO195; UNQ169 Summary: This gene encodes a protein shown to regulate autophagy in response to bacterial infection. This protein may also regulate the retention of amyloid precursor protein (APP) in the Golgi apparatus through its control of APP glycosylation. Overexpression of this protein has been found to promote apoptosis in a glioma cell line. Alternative splicing results in multiple transcript variants. [provided by RefSeq, Feb 2015] Protein Families: Transmembrane This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 TMEM59 (NM_004872) Human Recombinant Protein – TP305624 Product images: Coomassie blue staining of purified TMEM59 protein (Cat# TP305624). -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Plasma Fatty Acid Ratios Affect Blood Gene Expression Profiles - a Cross-Sectional Study of the Norwegian Women and Cancer Post-Genome Cohort
Plasma Fatty Acid Ratios Affect Blood Gene Expression Profiles - A Cross-Sectional Study of the Norwegian Women and Cancer Post-Genome Cohort Karina Standahl Olsen1*, Christopher Fenton2, Livar Frøyland3, Marit Waaseth4, Ruth H. Paulssen2, Eiliv Lund1 1 Department of Community Medicine, University of Tromsø, Tromsø, Norway, 2 Department of Clinical Medicine, University of Tromsø, Tromsø, Norway, 3 National Institute of Nutrition and Seafood Research (NIFES), Bergen, Norway, 4 Department of Pharmacy, University of Tromsø, Tromsø, Norway Abstract High blood concentrations of n-6 fatty acids (FAs) relative to n-3 FAs may lead to a ‘‘physiological switch’’ towards permanent low-grade inflammation, potentially influencing the onset of cardiovascular and inflammatory diseases, as well as cancer. To explore the potential effects of FA ratios prior to disease onset, we measured blood gene expression profiles and plasma FA ratios (linoleic acid/alpha-linolenic acid, LA/ALA; arachidonic acid/eicosapentaenoic acid, AA/EPA; and total n-6/n-3) in a cross-section of middle-aged Norwegian women (n = 227). After arranging samples from the highest values to the lowest for all three FA ratios (LA/ALA, AA/EPA and total n-6/n-3), the highest and lowest deciles of samples were compared. Differences in gene expression profiles were assessed by single-gene and pathway-level analyses. The LA/ALA ratio had the largest impact on gene expression profiles, with 135 differentially expressed genes, followed by the total n-6/ n-3 ratio (125 genes) and the AA/EPA ratio (72 genes). All FA ratios were associated with genes related to immune processes, with a tendency for increased pro-inflammatory signaling in the highest FA ratio deciles. -
Nephritis Responses in Murine and Human Lupus Analysis Defines
Downloaded from http://www.jimmunol.org/ by guest on October 2, 2021 is online at: average * The Journal of Immunology , 24 of which you can access for free at: 2012; 189:988-1001; Prepublished online 20 June from submission to initial decision 4 weeks from acceptance to publication Celine C. Berthier, Ramalingam Bethunaickan, Tania Gonzalez-Rivera, Viji Nair, Meera Ramanujam, Weijia Zhang, Erwin P. Bottinger, Stephan Segerer, Maja Lindenmeyer, Clemens D. Cohen, Anne Davidson and Matthias Kretzler 2012; doi: 10.4049/jimmunol.1103031 http://www.jimmunol.org/content/189/2/988 Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis J Immunol cites 60 articles 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/189/2/988.full#ref-list-1 http://www.jimmunol.org/content/suppl/2012/06/20/jimmunol.110303 1.DC1 This article Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2012 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of October 2, 2021. The Journal of Immunology Cross-Species Transcriptional Network Analysis Defines Shared Inflammatory Responses in Murine and Human Lupus Nephritis Celine C. -
Mai Muudatuntuu Ti on Man Mini
MAIMUUDATUNTUU US009809854B2 TI ON MAN MINI (12 ) United States Patent ( 10 ) Patent No. : US 9 ,809 ,854 B2 Crow et al. (45 ) Date of Patent : Nov . 7 , 2017 Whitehead et al. (2005 ) Variation in tissue - specific gene expression ( 54 ) BIOMARKERS FOR DISEASE ACTIVITY among natural populations. Genome Biology, 6 :R13 . * AND CLINICAL MANIFESTATIONS Villanueva et al. ( 2011 ) Netting Neutrophils Induce Endothelial SYSTEMIC LUPUS ERYTHEMATOSUS Damage , Infiltrate Tissues, and Expose Immunostimulatory Mol ecules in Systemic Lupus Erythematosus . The Journal of Immunol @(71 ) Applicant: NEW YORK SOCIETY FOR THE ogy , 187 : 538 - 552 . * RUPTURED AND CRIPPLED Bijl et al. (2001 ) Fas expression on peripheral blood lymphocytes in MAINTAINING THE HOSPITAL , systemic lupus erythematosus ( SLE ) : relation to lymphocyte acti vation and disease activity . Lupus, 10 :866 - 872 . * New York , NY (US ) Crow et al . (2003 ) Microarray analysis of gene expression in lupus. Arthritis Research and Therapy , 5 :279 - 287 . * @(72 ) Inventors : Mary K . Crow , New York , NY (US ) ; Baechler et al . ( 2003 ) Interferon - inducible gene expression signa Mikhail Olferiev , Mount Kisco , NY ture in peripheral blood cells of patients with severe lupus . PNAS , (US ) 100 ( 5 ) : 2610 - 2615. * GeneCards database entry for IFIT3 ( obtained from < http : / /www . ( 73 ) Assignee : NEW YORK SOCIETY FOR THE genecards. org /cgi - bin / carddisp .pl ? gene = IFIT3 > on May 26 , 2016 , RUPTURED AND CRIPPLED 15 pages ) . * Navarra et al. (2011 ) Efficacy and safety of belimumab in patients MAINTAINING THE HOSPITAL with active systemic lupus erythematosus : a randomised , placebo FOR SPECIAL SURGERY , New controlled , phase 3 trial . The Lancet , 377 :721 - 731. * York , NY (US ) Abramson et al . ( 1983 ) Arthritis Rheum . -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Primepcr™Assay Validation Report
PrimePCR™Assay Validation Report Gene Information Gene Name transmembrane protein 59 Gene Symbol Tmem59 Organism Mouse Gene Summary Description Not Available Gene Aliases 1110001M20Rik, 3110046P06Rik, AI256529, D4Ertd20e, MTDCF1, ORF18 RefSeq Accession No. NC_000070.6, NT_039264.7 UniGene ID Mm.291192 Ensembl Gene ID ENSMUSG00000028618 Entrez Gene ID 56374 Assay Information Unique Assay ID qMmuCED0047467 Assay Type SYBR® Green Detected Coding Transcript(s) ENSMUST00000030361, ENSMUST00000128123, ENSMUST00000106753 Amplicon Context Sequence GAGACAAGAACAACTCATGTCCCTGATGCCAAGAATGCATCTCCTCTTCCCTCTG ACTCTGGTGAGGTCGTTCTGGAGTGACATGATGGACT Amplicon Length (bp) 62 Chromosome Location 4:107187701-107190613 Assay Design Exonic Purification Desalted Validation Results Efficiency (%) 95 R2 0.9997 cDNA Cq 19.5 cDNA Tm (Celsius) 84.5 gDNA Cq 25.09 Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 1/4 PrimePCR™Assay Validation Report Tmem59, Mouse Amplification Plot Amplification of cDNA generated from 25 ng of universal reference RNA Melt Peak Melt curve analysis of above amplification Standard Curve Standard curve generated using 20 million copies of template diluted 10-fold to 20 copies Page 2/4 PrimePCR™Assay Validation Report Products used to generate validation data Real-Time PCR Instrument CFX384 Real-Time PCR Detection System Reverse Transcription Reagent iScript™ Advanced cDNA Synthesis Kit for RT-qPCR Real-Time PCR Supermix SsoAdvanced™ SYBR® Green Supermix Experimental Sample qPCR Mouse Reference Total RNA Data Interpretation Unique Assay ID This is a unique identifier that can be used to identify the assay in the literature and online. Detected Coding Transcript(s) This is a list of the Ensembl transcript ID(s) that this assay will detect. Details for each transcript can be found on the Ensembl website at www.ensembl.org. -
WO 2016/040794 Al 17 March 2016 (17.03.2016) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2016/040794 Al 17 March 2016 (17.03.2016) P O P C T (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, C12N 1/19 (2006.01) C12Q 1/02 (2006.01) BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, C12N 15/81 (2006.01) C07K 14/47 (2006.01) DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, (21) International Application Number: KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, PCT/US20 15/049674 MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, (22) International Filing Date: PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, 11 September 2015 ( 11.09.201 5) SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every (26) Publication Language: English kind of regional protection available): ARIPO (BW, GH, (30) Priority Data: GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, 62/050,045 12 September 2014 (12.09.2014) US TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, (71) Applicant: WHITEHEAD INSTITUTE FOR BIOMED¬ DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, ICAL RESEARCH [US/US]; Nine Cambridge Center, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, Cambridge, Massachusetts 02142-1479 (US). -
UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent Permalink https://escholarship.org/uc/item/7m04f0b0 Author Buchholz, Kyle Stephen Publication Date 2016 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Cardiac Stretch-Induced Transcriptomic Changes are Axis-Dependent A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioengineering by Kyle Stephen Buchholz Committee in Charge: Professor Jeffrey Omens, Chair Professor Andrew McCulloch, Co-Chair Professor Ju Chen Professor Karen Christman Professor Robert Ross Professor Alexander Zambon 2016 Copyright Kyle Stephen Buchholz, 2016 All rights reserved Signature Page The Dissertation of Kyle Stephen Buchholz is approved and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California, San Diego 2016 iii Dedication To my beautiful wife, Rhia. iv Table of Contents Signature Page ................................................................................................................... iii Dedication .......................................................................................................................... iv Table of Contents ................................................................................................................ v List of Figures ................................................................................................................... -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ...................................................... -
A Second Generation Human Haplotype Map of Over 3.1 Million Snps the International Hapmap Consortium1
doi: 10.1038/nature06258 SUPPLEMENTARY INFORMATION A second generation human haplotype map of over 3.1 million SNPs The International HapMap Consortium1 Supplementary material S1 The density of common SNPs in the Phase II HapMap and the assembled human genome S2 Analysis of data quality S2.1 Analysis of amplicon structure to genotyping error S2.2 Analysis of genotype discordance from overlap with Seattle SNPs S2.3 Analysis of genotype discordance from fosmid end sequences S2.4 Analysis of monomorphism/polymorphism discrepancies S2.5 Interchromosomal LD S3. Analysis of population stratification S4. Analysis of relatedness S5. Segmental analysis of relatedness S6. Analysis of homozygosity S7. Perlegen genotyping protocols Supplementary tables Legends to supplementary figures 1 See end of manuscript for Consortium details www.nature.com/nature 1 doi: 10.1038/nature06258 SUPPLEMENTARY INFORMATION Supplementary text 1. The density of common SNPs in the Phase II HapMap and the assembled human genome. To estimate the fraction of all common variants on the autosomes that have been successfully genotyped in the consensus Phase II HapMap we note that in YRI (release 21) there are 2,334,980 SNPs with MAF≥0.05. Across the autosomes, the completed reference sequence assembled in contigs is 2.68 billion bp. Assuming that the allele frequency distribution in the YRI is well approximated by that of a simple coalescent model and using an estimate of the population mutation rate of θ = 1.2 per kb for African populations1,2 the expected number of variants with MAF≥0.05 in a sample of 120 chromosomes is 114 = θ E(S MAF≥5% ) L ∑ /1 i i=6 where L is the total length of the sequence3.