Characterization of Porcine Tripartite Motif Genes As Host Restriction
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Genome Wide Association Study of Response to Interval and Continuous Exercise Training: the Predict‑HIIT Study Camilla J
Williams et al. J Biomed Sci (2021) 28:37 https://doi.org/10.1186/s12929-021-00733-7 RESEARCH Open Access Genome wide association study of response to interval and continuous exercise training: the Predict-HIIT study Camilla J. Williams1†, Zhixiu Li2†, Nicholas Harvey3,4†, Rodney A. Lea4, Brendon J. Gurd5, Jacob T. Bonafglia5, Ioannis Papadimitriou6, Macsue Jacques6, Ilaria Croci1,7,20, Dorthe Stensvold7, Ulrik Wislof1,7, Jenna L. Taylor1, Trishan Gajanand1, Emily R. Cox1, Joyce S. Ramos1,8, Robert G. Fassett1, Jonathan P. Little9, Monique E. Francois9, Christopher M. Hearon Jr10, Satyam Sarma10, Sylvan L. J. E. Janssen10,11, Emeline M. Van Craenenbroeck12, Paul Beckers12, Véronique A. Cornelissen13, Erin J. Howden14, Shelley E. Keating1, Xu Yan6,15, David J. Bishop6,16, Anja Bye7,17, Larisa M. Haupt4, Lyn R. Grifths4, Kevin J. Ashton3, Matthew A. Brown18, Luciana Torquati19, Nir Eynon6 and Jef S. Coombes1* Abstract Background: Low cardiorespiratory ftness (V̇O2peak) is highly associated with chronic disease and mortality from all causes. Whilst exercise training is recommended in health guidelines to improve V̇O2peak, there is considerable inter-individual variability in the V̇O2peak response to the same dose of exercise. Understanding how genetic factors contribute to V̇O2peak training response may improve personalisation of exercise programs. The aim of this study was to identify genetic variants that are associated with the magnitude of V̇O2peak response following exercise training. Methods: Participant change in objectively measured V̇O2peak from 18 diferent interventions was obtained from a multi-centre study (Predict-HIIT). A genome-wide association study was completed (n 507), and a polygenic predictor score (PPS) was developed using alleles from single nucleotide polymorphisms= (SNPs) signifcantly associ- –5 ated (P < 1 10 ) with the magnitude of V̇O2peak response. -
SPACE Exploration of Chromatin Proteome to Reveal Associated RNA- Binding Proteins
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.13.200212; this version posted July 15, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. SPACE exploration of chromatin proteome to reveal associated RNA- binding proteins Mahmoud-Reza Rafiee1*, Julian A Zagalak1,2, Giulia Tyzack1,3,4, Rickie Patani1,3,4, Jernej Ule1,2, Nicholas M Luscombe1,5,6* 1The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK. 2 Department of Molecular Neuroscience, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK. 3 Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK. 4 Department of Neuroinflammation, UCL Institute of Neurology, Queen Square, London WC1N 1PJ, UK. 5 UCL Genetics Institute, University College London, Gower Street, London WC1E 6BT, UK. 6 Okinawa Institute of Science & Technology Graduate University, Okinawa 904-0495, Japan * corresponding authors Abstract Chromatin is composed of many proteins that mediate intermolecular transactions with the genome. Comprehensive knowledge of these components and their interactions is necessary for insights into gene regulation and other activities; however, reliable identification of chromatin-associated proteins remains technically challenging. Here, we present SPACE (Silica Particle Assisted Chromatin Enrichment), a stringent and straightforward chromatin- purification method that helps identify direct DNA-binders separately from chromatin- associated proteins. We demonstrate SPACE’s unique strengths in three experimental set- ups: the sensitivity to detect novel chromatin-associated proteins, the quantitative nature to measure dynamic protein use across distinct cellular conditions, and the ability to handle 10- 25 times less starting material than competing methods. -
Genomic Analysis of the TRIM Family Reveals Two Groups of Genes with Distinct Evolutionary Properties
BMC Evolutionary Biology BioMed Central Research article Open Access Genomic analysis of the TRIM family reveals two groups of genes with distinct evolutionary properties Marco Sardiello1, Stefano Cairo1,3, Bianca Fontanella1,4, Andrea Ballabio1,2 and Germana Meroni*1 Address: 1Telethon Institute of Genetics and Medicine (TIGEM), Via P. Castellino 111, 80131 Naples, Italy, 2Department of Pediatrics, Federico II University, Via Sergio Pansini 5, 80131 Naples, Italy, 3Unite d'Oncogenèse et Virologie Moléculaire, Batiment Lwoff, Institut Pasteur, 28 rue de Dr. Roux, 75724 Paris Cedex 15, France and 4Department of Pharmaceutical Sciences, University of Salerno, 84084 Fisciano (SA), Italy Email: Marco Sardiello - [email protected]; Stefano Cairo - [email protected]; Bianca Fontanella - [email protected]; Andrea Ballabio - [email protected]; Germana Meroni* - [email protected] * Corresponding author Published: 1 August 2008 Received: 11 September 2007 Accepted: 1 August 2008 BMC Evolutionary Biology 2008, 8:225 doi:10.1186/1471-2148-8-225 This article is available from: http://www.biomedcentral.com/1471-2148/8/225 © 2008 Sardiello 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: The TRIM family is composed of multi-domain proteins that display the Tripartite Motif (RING, B-box and Coiled-coil) that can be associated with a C-terminal domain. TRIM genes are involved in ubiquitylation and are implicated in a variety of human pathologies, from Mendelian inherited disorders to cancer, and are also involved in cellular response to viral infection. -
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. -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Genome-Wide DNA Methylation Profiling in the Superior Temporal Gyrus Reveals Epigenetic Signatures Associated with Alzheimer's
Watson et al. Genome Medicine (2016) 8:5 DOI 10.1186/s13073-015-0258-8 RESEARCH Open Access Genome-wide DNA methylation profiling in the superior temporal gyrus reveals epigenetic signatures associated with Alzheimer’s disease Corey T. Watson1, Panos Roussos1,2,3, Paras Garg1, Daniel J. Ho1, Nidha Azam1, Pavel L. Katsel2,4, Vahram Haroutunian2,3,4 and Andrew J. Sharp1* Abstract Background: Alzheimer’s disease affects ~13 % of people in the United States 65 years and older, making it the most common neurodegenerative disorder. Recent work has identified roles for environmental, genetic, and epigenetic factors in Alzheimer’s disease risk. Methods: We performed a genome-wide screen of DNA methylation using the Illumina Infinium HumanMethylation450 platform on bulk tissue samples from the superior temporal gyrus of patients with Alzheimer’s disease and non-demented controls. We paired a sliding window approach with multivariate linear regression to characterize Alzheimer’s disease-associated differentially methylated regions (DMRs). Results: We identified 479 DMRs exhibiting a strong bias for hypermethylated changes, a subset of which were independently associated with aging. DMR intervals overlapped 475 RefSeq genes enriched for gene ontology categories with relevant roles in neuron function and development, as well as cellular metabolism, and included genes reported in Alzheimer’s disease genome-wide and epigenome-wide association studies. DMRs were enriched for brain-specific histone signatures and for binding motifs of transcription factors with rolesinthebrainandAlzheimer’s disease pathology. Notably, hypermethylated DMRs preferentially overlapped poised promoter regions, marked by H3K27me3 and H3K4me3, previously shown to co-localize with aging- associated hypermethylation. Finally, the integration of DMR-associated single nucleotide polymorphisms with Alzheimer’s disease genome-wide association study risk loci and brain expression quantitative trait loci highlights multiple potential DMRs of interest for further functional analysis. -
Multiple Ser/Thr-Rich Degrons Mediate the Degradation of Ci/Gli by the Cul3-HIB/SPOP E3 Ubiquitin Ligase
Multiple Ser/Thr-rich degrons mediate the degradation of Ci/Gli by the Cul3-HIB/SPOP E3 ubiquitin ligase Qing Zhanga,1,2, Qing Shia,1, Yongbin Chena,1, Tao Yuea, Shuang Lia, Bing Wanga, and Jin Jianga,b,3 Departments of aDevelopmental Biology and bPharmacology, University of Texas Southwestern Medical Center at Dallas, Dallas, TX 75390 Communicated by Gary Struhl, Columbia University College of Physicians and Surgeons, New York, NY, October 19, 2009 (received for review September 8, 2009) The Cul3-based E3 ubiquitin ligases regulate many cellular pro- morphogenetic furrow (MF), where HIB acts together with Cul3 cesses using a large family of BTB domain–containing proteins as to degrade Ci, thereby limiting the duration of Hh signaling (11, their target recognition components, but how they recognize 12, 14). The Cul3-HIB regulatory circuit appears to be con- targets remains unknown. Here we identify and characterize served, because Gli proteins such as Gli2 and Gli3 can be degrons that mediate the degradation of the Hedgehog pathway degraded by HIB when expressed in Drosophila, and the mam- transcription factor cubitus interruptus (Ci)/Gli by Cul3-Hedghog– malian homolog of HIB, SPOP, can functionally replace HIB in induced MATH and BTB domain–containing protein (HIB)/SPOP. Ci degrading Ci (11). uses multiple Ser/Thr (S/T)-rich motifs that bind HIB cooperatively How Cul3-based E3 ligases recognize their substrates is to mediate its degradation. We provide evidence that both HIB and unknown, and the specific degrons in their target proteins Ci form dimers/oligomers and engage in multivalent interactions, remain to be identified for individual BTB proteins that function which underlies the in vivo cooperativity among individual HIB- as target-recognition components. -
The Role of ARF Family Proteins and Their Regulators and Effectors in Cancer Progression: a Therapeutic Perspective
fcell-08-00217 April 17, 2020 Time: 19:19 # 1 REVIEW published: 21 April 2020 doi: 10.3389/fcell.2020.00217 The Role of ARF Family Proteins and Their Regulators and Effectors in Cancer Progression: A Therapeutic Perspective Cristina Casalou†, Andreia Ferreira† and Duarte C. Barral* CEDOC, NOVA Medical School, Faculdade de Ciências Médicas, Universidade NOVA de Lisboa, Lisbon, Portugal The Adenosine diphosphate-Ribosylation Factor (ARF) family belongs to the RAS superfamily of small GTPases and is involved in a wide variety of physiological processes, such as cell proliferation, motility and differentiation by regulating membrane Edited by: traffic and associating with the cytoskeleton. Like other members of the RAS Sunil Kumar Verma, superfamily, ARF family proteins are activated by Guanine nucleotide Exchange Factors Centre for Cellular & Molecular (GEFs) and inactivated by GTPase-Activating Proteins (GAPs). When active, they bind Biology (CCMB), India effectors, which mediate downstream functions. Several studies have reported that Reviewed by: Wei-Hsiung Yang, cancer cells are able to subvert membrane traffic regulators to enhance migration and Mercer University, United States invasion. Indeed, members of the ARF family, including ARF-Like (ARL) proteins have Ira Daar, National Cancer Institute (NCI), been implicated in tumorigenesis and progression of several types of cancer. Here, we United States review the role of ARF family members, their GEFs/GAPs and effectors in tumorigenesis *Correspondence: and cancer progression, highlighting the ones that can have a pro-oncogenic behavior Duarte C. Barral or function as tumor suppressors. Moreover, we propose possible mechanisms and [email protected] approaches to target these proteins, toward the development of novel therapeutic †These authors have contributed equally to this work strategies to impair tumor progression. -
TRIM68 Antibody (Monoclonal) (M01) Mouse Monoclonal Antibody Raised Against a Partial Recombinant TRIM68
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 TRIM68 Antibody (monoclonal) (M01) Mouse monoclonal antibody raised against a partial recombinant TRIM68. Catalog # AT4362a Specification TRIM68 Antibody (monoclonal) (M01) - Product Information Application WB, E Primary Accession Q6AZZ1 Other Accession NM_018073 Reactivity Human Host mouse Clonality Monoclonal Isotype IgG2a Kappa Calculated MW 56259 TRIM68 Antibody (monoclonal) (M01) - Additional Information Antibody Reactive Against Recombinant Protein.Western Blot detection against Gene ID 55128 Immunogen (36.74 KDa) . Other Names E3 ubiquitin-protein ligase TRIM68, 632-, RING finger protein 137, SSA protein SS-56, SS-56, Tripartite motif-containing protein 68, TRIM68, GC109, RNF137, SS56 Target/Specificity TRIM68 (NP_060543, 181 a.a. ~ 280 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Dilution Detection limit for recombinant GST tagged WB~~1:500~1000 TRIM68 is approximately 0.3ng/ml as a capture antibody. Format Clear, colorless solution in phosphate buffered saline, pH 7.2 . TRIM68 Antibody (monoclonal) (M01) - Background Storage Store at -20°C or lower. Aliquot to avoid The protein encoded by this gene contains a repeated freezing and thawing. RING finger domain, a motif present in a variety of functionally distinct proteins and Precautions known to be involved in protein-protein and TRIM68 Antibody (monoclonal) (M01) is for protein-DNA interactions. This gene is research use only and not for use in expressed in many cancer cell lines. Its diagnostic or therapeutic procedures. expression in normal tissues, however, was found to be restricted to prostate. -
Genetically Modified Mouse Models to Help Fight COVID-19
PERSPECTIVE https://doi.org/10.1038/s41596-020-00403-2 Genetically modified mouse models to help fight COVID-19 1,2✉ 2 3 Channabasavaiah B. Gurumurthy , Rolen M. Quadros , Guy P. Richardson✉ , Larisa Y. Poluektova 1, Suzanne L. Mansour4 and Masato Ohtsuka 5,6 The research community is in a race to understand the molecular mechanisms of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, to repurpose currently available antiviral drugs and to develop new therapies and vaccines against coronavirus disease 2019 (COVID-19). One major challenge in achieving these goals is the paucity of suitable preclinical animal models. Mice constitute ~70% of all the laboratory animal species used in biomedical research. Unfortunately, SARS-CoV-2 infects mice only if they have been genetically modified to express human ACE2. The inherent resistance of wild-type mice to SARS-CoV-2, combined with a wealth of genetic tools that are available only for modifying mice, offers a unique opportunity to create a versatile set of genetically engineered mouse models useful for COVID-19 research. We propose three broad categories of these models and more than two dozen designs that may be useful for SARS-CoV-2 research and for fighting COVID-19. 1234567890():,; 1234567890():,; – he research community is in desperate need of animal in SARS virus studies4 7. Like SARS-CoV, SARS-CoV-2 uses Tmodels for testing therapeutics and vaccines against the hACE2 receptor for entry into cells. Therefore some of coronavirus disease 2019 (COVID-19), and for studies these transgenic models have been investigated for their suit- aimed at understanding the molecular mechanisms of severe ability for SARS-CoV-2 studies8,9. -
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. -
Literature Mining Sustains and Enhances Knowledge Discovery from Omic Studies
LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES by Rick Matthew Jordan B.S. Biology, University of Pittsburgh, 1996 M.S. Molecular Biology/Biotechnology, East Carolina University, 2001 M.S. Biomedical Informatics, University of Pittsburgh, 2005 Submitted to the Graduate Faculty of School of Medicine in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Pittsburgh 2016 UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE This dissertation was presented by Rick Matthew Jordan It was defended on December 2, 2015 and approved by Shyam Visweswaran, M.D., Ph.D., Associate Professor Rebecca Jacobson, M.D., M.S., Professor Songjian Lu, Ph.D., Assistant Professor Dissertation Advisor: Vanathi Gopalakrishnan, Ph.D., Associate Professor ii Copyright © by Rick Matthew Jordan 2016 iii LITERATURE MINING SUSTAINS AND ENHANCES KNOWLEDGE DISCOVERY FROM OMIC STUDIES Rick Matthew Jordan, M.S. University of Pittsburgh, 2016 Genomic, proteomic and other experimentally generated data from studies of biological systems aiming to discover disease biomarkers are currently analyzed without sufficient supporting evidence from the literature due to complexities associated with automated processing. Extracting prior knowledge about markers associated with biological sample types and disease states from the literature is tedious, and little research has been performed to understand how to use this knowledge to inform the generation of classification models from ‘omic’ data. Using pathway analysis methods to better understand the underlying biology of complex diseases such as breast and lung cancers is state-of-the-art. However, the problem of how to combine literature- mining evidence with pathway analysis evidence is an open problem in biomedical informatics research.