Linda Marie Rehaume
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Systems and Chemical Biology Approaches to Study Cell Function and Response to Toxins
Dissertation submitted to the Combined Faculties for the Natural Sciences and for Mathematics of the Ruperto-Carola University of Heidelberg, Germany for the degree of Doctor of Natural Sciences Presented by MSc. Yingying Jiang born in Shandong, China Oral-examination: Systems and chemical biology approaches to study cell function and response to toxins Referees: Prof. Dr. Rob Russell Prof. Dr. Stefan Wölfl CONTRIBUTIONS The chapter III of this thesis was submitted for publishing under the title “Drug mechanism predominates over toxicity mechanisms in drug induced gene expression” by Yingying Jiang, Tobias C. Fuchs, Kristina Erdeljan, Bojana Lazerevic, Philip Hewitt, Gordana Apic & Robert B. Russell. For chapter III, text phrases, selected tables, figures are based on this submitted manuscript that has been originally written by myself. i ABSTRACT Toxicity is one of the main causes of failure during drug discovery, and of withdrawal once drugs reached the market. Prediction of potential toxicities in the early stage of drug development has thus become of great interest to reduce such costly failures. Since toxicity results from chemical perturbation of biological systems, we combined biological and chemical strategies to help understand and ultimately predict drug toxicities. First, we proposed a systematic strategy to predict and understand the mechanistic interpretation of drug toxicities based on chemical fragments. Fragments frequently found in chemicals with certain toxicities were defined as structural alerts for use in prediction. Some of the predictions were supported with mechanistic interpretation by integrating fragment- chemical, chemical-protein, protein-protein interactions and gene expression data. Next, we systematically deciphered the mechanisms of drug actions and toxicities by analyzing the associations of drugs’ chemical features, biological features and their gene expression profiles from the TG-GATEs database. -
Manual Annotation and Analysis of the Defensin Gene Cluster in the C57BL
BMC Genomics BioMed Central Research article Open Access Manual annotation and analysis of the defensin gene cluster in the C57BL/6J mouse reference genome Clara Amid*†1, Linda M Rehaume*†2, Kelly L Brown2,3, James GR Gilbert1, Gordon Dougan1, Robert EW Hancock2 and Jennifer L Harrow1 Address: 1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, UK, 2University of British Columbia, Centre for Microbial Disease & Immunity Research, 2259 Lower Mall, Vancouver, BC, V6T 1Z4, Canada and 3Department of Rheumatology and Inflammation Research, Göteborg University, Guldhedsgatan 10, S-413 46 Göteborg, Sweden Email: Clara Amid* - [email protected]; Linda M Rehaume* - [email protected]; Kelly L Brown - [email protected]; James GR Gilbert - [email protected]; Gordon Dougan - [email protected]; Robert EW Hancock - [email protected]; Jennifer L Harrow - [email protected] * Corresponding authors †Equal contributors Published: 15 December 2009 Received: 15 May 2009 Accepted: 15 December 2009 BMC Genomics 2009, 10:606 doi:10.1186/1471-2164-10-606 This article is available from: http://www.biomedcentral.com/1471-2164/10/606 © 2009 Amid 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. Abstract Background: Host defense peptides are a critical component of the innate immune system. Human alpha- and beta-defensin genes are subject to copy number variation (CNV) and historically the organization of mouse alpha-defensin genes has been poorly defined. -
CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients
CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens. -
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. -
Enteric Alpha Defensins in Norm and Pathology Nikolai a Lisitsyn1*, Yulia a Bukurova1, Inna G Nikitina1, George S Krasnov1, Yuri Sykulev2 and Sergey F Beresten1
Lisitsyn et al. Annals of Clinical Microbiology and Antimicrobials 2012, 11:1 http://www.ann-clinmicrob.com/content/11/1/1 REVIEW Open Access Enteric alpha defensins in norm and pathology Nikolai A Lisitsyn1*, Yulia A Bukurova1, Inna G Nikitina1, George S Krasnov1, Yuri Sykulev2 and Sergey F Beresten1 Abstract Microbes living in the mammalian gut exist in constant contact with immunity system that prevents infection and maintains homeostasis. Enteric alpha defensins play an important role in regulation of bacterial colonization of the gut, as well as in activation of pro- and anti-inflammatory responses of the adaptive immune system cells in lamina propria. This review summarizes currently available data on functions of mammalian enteric alpha defensins in the immune defense and changes in their secretion in intestinal inflammatory diseases and cancer. Keywords: Enteric alpha defensins, Paneth cells, innate immunity, IBD, colon cancer Introduction hydrophobic structure with a positively charged hydro- Defensins are short, cysteine-rich, cationic peptides philic part) is essential for the insertion into the micro- found in vertebrates, invertebrates and plants, which bial membrane and the formation of a pore leading to play an important role in innate immunity against bac- membrane permeabilization and lysis of the microbe teria, fungi, protozoa, and viruses [1]. Mammalian [10]. Initial recognition of numerous microbial targets is defensins are predominantly expressed in epithelial cells a consequence of electrostatic interactions between the of skin, respiratory airways, gastrointestinal and geni- defensins arginine residues and the negatively charged tourinary tracts, which form physical barriers to external phospholipids of the microbial cytoplasmic membrane infectious agents [2,3], and also in leukocytes (mostly [2,5]. -
Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis
fgene-12-697514 July 5, 2021 Time: 19:1 # 1 ORIGINAL RESEARCH published: 09 July 2021 doi: 10.3389/fgene.2021.697514 Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis Zi-An Chen1, Yu-Feng Sun1, Quan-Xu Wang1, Hui-Hui Ma1, Zhi-Zhao Ma2* and Chuan-Jie Yang1* 1 Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, China, 2 Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China Background: Ulcerative colitis (UC) is a chronic, complicated, inflammatory disease with an increasing incidence and prevalence worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of UC have not yet been fully elucidated. Methods: All UC datasets published in the GEO database were analyzed and Edited by: Shulan Tian, summarized. Subsequently, the robust rank aggregation (RRA) method was used to Mayo Clinic, United States identify differentially expressed genes (DEGs) between UC patients and controls. Gene Reviewed by: functional annotation and PPI network analysis were performed to illustrate the potential Espiridión Ramos-Martínez, Universidad Nacional Autónoma functions of the DEGs. Some important functional modules from the protein-protein de México, Mexico interaction (PPI) network were identified by molecular complex detection (MCODE), Panwen Wang, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG), and Mayo Clinic Arizona, United States analyses were performed. The results of CytoHubba, a plug for integrated algorithm for *Correspondence: Zhi-Zhao Ma biomolecular interaction networks combined with RRA analysis, were used to identify [email protected] the hub genes. Finally, a mouse model of UC was established by dextran sulfate sodium Chuan-Jie Yang [email protected] salt (DSS) solution to verify the expression of hub genes. -
Transcriptional Regulation Differs in Affected Facioscapulohumeral Muscular Dystrophy Patients Compared to Asymptomatic Related Carriers
University of Massachusetts Medical School eScholarship@UMMS Wellstone Center for FSHD Publications Wellstone Center for FSHD 2009-04-14 Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiro University of Sao Paulo Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/wellstone_pubs Part of the Cell Biology Commons, Developmental Biology Commons, Molecular Biology Commons, Molecular Genetics Commons, Musculoskeletal Diseases Commons, and the Nervous System Diseases Commons Repository Citation Arashiro P, Eisenberg I, Kho AT, Cerqueira AM, Canovas M, Silva HC, Pavanello RC, Verjovski-Almeida S, Kunkel LM, Zatz M. (2009). Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers. Wellstone Center for FSHD Publications. https://doi.org/10.1073/pnas.0901573106. Retrieved from https://escholarship.umassmed.edu/ wellstone_pubs/18 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Wellstone Center for FSHD Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiroa, Iris Eisenbergb, Alvin T. Khoc, Antonia M. P. Cerqueiraa, Marta -
Nutrient Health and EROEN Compounds Resegsterixsteextics: Production * Gets Cartrai, Agairaxxxix
US 2011 O153221A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2011/0153221 A1 Stefanon et al. (43) Pub. Date: Jun. 23, 2011 (54) DIAGNOSTIC SYSTEM FOR SELECTING (52) U.S. Cl. .......................................................... 702/19 NUTRITION AND PHARMACOLOGICAL PRODUCTS FOR ANIMALS (57) ABSTRACT (76) Inventors: Bruno Stefanon, Martignacco (IT): W.Year Jean Dodds.Odds, Santa Monica,IVIon1ca, CA An analysis of the profile of a non-human animal comprises: a) providing a genotypic database to the species of the non (21) Appl. No.: 12/927,769 human animal Subject or a selected group of the species; b obtaining animal data; c) correlating the database of a) with (22) Filed:1-1. Nov. 19, 2010 the data ofb) to determinea relationshipp between the database of a) and the data of b); c) determining the profile of the Related U.S. Application Data animal based on the correlating step; and d) determining a (63)63) ContinuationConti offaroplication application No. 12/316.824,:4'. filed'O geneticmolecular profile dietary based signature on the being molecular a variation dietary of signature, expression the of Dec. 16, 2008, now Pat. No. 7,873,482. a set of genes which may differ for the genotype of each O O animal or a group of animals Nutrition and pharmalogical Publication Classification assessments are made. Reporting the determination is by the (51) Int. Cl. Internet, and payment for the report is obtained through the G06F 9/00 (2011.01) Internet. 38s. 4 gas registics, $88's *.icisixxxiiserscies: 8 texrigixi exsix * processire statisy • Essex: 88& goEffect onXXXXWWYYX Nutrient health and EROEN Compounds resegsterixsteextics: production * gets cartrai, agairaxxxix. -
Copy Number Variation and Huntington's Disease
UNIVERSIDADE DE LISBOA FACULDADE DE MEDICINA DE LISBOA Copy number variation and Huntington’s disease Angelica Vittori Ramo das Ciências Biomédicas Especialidade – Neurociências Outubro 2013 UNIVERSIDADE DE LISBOA FACULDADE DE MEDICINA DE LISBOA Copy number variation and Huntington’s disease Candidata: Angelica Vittori Orientadores: Prof . Doutor Tiago Fleming Outeiro Doutor Flaviano Giorgini Doutor Edward J. Hollox Ramo das Ciências Biomédicas Especialidade – Neurociências Todas as afirmações efectuadas no presente documento são da exclusiva II responsabilidade do seu autor, não cabendo qualquer responsabilidade à faculdade de medicina de lisboa pelos conteúdos nela apresentados. A impressão são da exclusiva está dissertação foi aprovada pelo Conselho Cientifico da Faculdade de Medicina em reunião de 19 de Novembro de 2013. III Resumo A variação de número de cópias (CNV em inglês) é uma modificação de uma sequência de DNA que apresenta uma inserção ou deleção em comparação com um genoma de referência com um número de cópias de N = 2. Com um comprimento variável, desde 50 pares de bases até várias megabases, as CNVs identificadas têm um tamanho médio de ~ 3 Kb e representam cerca de 4% do genoma humano. As CNVs, como outras variações genéticas, podem afetar directamente os níveis de expressão dos genes afectados. Os efeitos indirectos na expressão genética podem ser causados por alterações da posição, interrompendo o quadro de leitura do gene ou posteriormente, perturbando as redes de regulação genética. Foi demonstrado que as CNVs são em grande parte responsáveis pela evolução humana e diversidade genética entre os indivíduos. A relevância das CNVs no genoma humano foi salientada por vários estudos de associação que mostraram o efeito das CNVs na susceptibilidade a doenças neurodegenerativas, doenças de características complexas, e por serem a principal causa do aparecimento de doenças mendelianas ou por conferirem um fenótipo benigno. -
Downloaded from the Protein Data Bank (PDB
bioRxiv preprint doi: https://doi.org/10.1101/2021.07.07.451411; this version posted July 7, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. CAT, AGTR2, L-SIGN and DC-SIGN are potential receptors for the entry of SARS-CoV-2 into human cells Dongjie Guo 1, 2, #, Ruifang Guo1, 2, #, Zhaoyang Li 1, 2, Yuyang Zhang 1, 2, Wei Zheng 3, Xiaoqiang Huang 3, Tursunjan Aziz 1, 2, Yang Zhang 3, 4, Lijun Liu 1, 2, * 1 College of Life and Health Sciences, Northeastern University, Shenyang, Liaoning, China 2 Key Laboratory of Data Analytics and Optimization for Smart Industry (Ministry of Education), Northeastern University, Shenyang, Liaoning, China 3 Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, USA 4 Department of Biological Chemistry, University of Michigan, Ann Arbor, USA * Corresponding author. College of Life and Health Sciences, Northeastern University, Shenyang, 110169, China. E-mail address: [email protected] (L. Liu) # These authors contributed equally to this work. 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.07.07.451411; this version posted July 7, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Abstract Since December 2019, the COVID-19 caused by SARS-CoV-2 has been widely spread all over the world. -
(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. -
Alpha Defensin 1 Antibody / DEFA1 (R32739)
Alpha Defensin 1 Antibody / DEFA1 (R32739) Catalog No. Formulation Size R32739 0.5mg/ml if reconstituted with 0.2ml sterile DI water 100 ug Bulk quote request Availability 1-3 business days Species Reactivity Human, Rat Format Antigen affinity purified Clonality Polyclonal (rabbit origin) Isotype Rabbit IgG Purity Antigen affinity Buffer Lyophilized from 1X PBS with 2.5% BSA, 0.025% sodium azide UniProt P59665 Applications Western Blot : 0.5-1ug/ml Limitations This Alpha Defensin 1 antibody is available for research use only. Western blot testing of 1) rat testis and 2) human HeLa lysate with Alpha Defensin 1 antibody at 0.5ug/ml. Predicted molecular weight ~10 kDa. Description Defensin, alpha 1, also known as human alpha defensin 1, human neutrophil peptide 1 (HNP-1) or neutrophil defensin 1 is a human protein that is encoded by the DEFA1 gene. Defensins are a family of antimicrobial and cytotoxic peptides thought to be involved in host defense. They are abundant in the granules of neutrophils and also found in the epithelia of mucosal surfaces such as those of the intestine, respiratory tract, urinary tract, and vagina. Members of the defensin family are highly similar in protein sequence and distinguished by a conserved cysteine motif. The protein encoded by this gene, defensin, alpha 1, is found in the microbicidal granules of neutrophils and likely plays a role in phagocyte-mediated host defense. Several alpha defensin genes are clustered on chromosome 8. This gene differs from defensin, alpha 3 by only one amino acid. This gene and the gene encoding defensin, alpha 3 are both subject to copy number variation.