Detection of Host Pathways Universally Inhibited After Plasmodium Yoelii
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
RNA-Seq Alignment to Individualized Genomes Improves Transcript Abundance Estimates in Multiparent Populations
MULTIPARENTAL POPULATIONS RNA-Seq Alignment to Individualized Genomes Improves Transcript Abundance Estimates in Multiparent Populations Steven C. Munger,* Narayanan Raghupathy,* Kwangbom Choi,* Allen K. Simons,* Daniel M. Gatti,* Douglas A. Hinerfeld,* Karen L. Svenson,* Mark P. Keller,† Alan D. Attie,† Matthew A. Hibbs,*,‡ Joel H. Graber,* Elissa J. Chesler,* and Gary A. Churchill*,1 *The Jackson Laboratory, Bar Harbor, Maine 04609, †University of Wisconsin, Madison, Wisconsin 53705, and ‡Trinity University, San Antonio, Texas 78212 ORCID ID: 0000-0002-8458-1871 (S.C.M.) ABSTRACT Massively parallel RNA sequencing (RNA-seq) has yielded a wealth of new insights into transcriptional regulation. A first step in the analysis of RNA-seq data is the alignment of short sequence reads to a common reference genome or transcriptome. Genetic variants that distinguish individual genomes from the reference sequence can cause reads to be misaligned, resulting in biased estimates of transcript abundance. Fine-tuning of read alignment algorithms does not correct this problem. We have developed Seqnature software to construct individualized diploid genomes and transcriptomes for multiparent populations and have implemented a complete analysis pipeline that incorporates other existing software tools. We demonstrate in simulated and real data sets that alignment to individualized transcriptomes increases read mapping accuracy, improves estimation of transcript abundance, and enables the direct estimation of allele-specific expression. Moreover, when applied to expression QTL mapping we find that our individualized alignment strategy corrects false-positive linkage signals and unmasks hidden associations. We recommend the use of individualized diploid genomes over reference sequence alignment for all applications of high-throughput sequencing technology in genetically diverse populations. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
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. -
Atrazine and Cell Death Symbol Synonym(S)
Supplementary Table S1: Atrazine and Cell Death Symbol Synonym(s) Entrez Gene Name Location Family AR AIS, Andr, androgen receptor androgen receptor Nucleus ligand- dependent nuclear receptor atrazine 1,3,5-triazine-2,4-diamine Other chemical toxicant beta-estradiol (8R,9S,13S,14S,17S)-13-methyl- Other chemical - 6,7,8,9,11,12,14,15,16,17- endogenous decahydrocyclopenta[a]phenanthrene- mammalian 3,17-diol CGB (includes beta HCG5, CGB3, CGB5, CGB7, chorionic gonadotropin, beta Extracellular other others) CGB8, chorionic gonadotropin polypeptide Space CLEC11A AW457320, C-type lectin domain C-type lectin domain family 11, Extracellular growth factor family 11, member A, STEM CELL member A Space GROWTH FACTOR CYP11A1 CHOLESTEROL SIDE-CHAIN cytochrome P450, family 11, Cytoplasm enzyme CLEAVAGE ENZYME subfamily A, polypeptide 1 CYP19A1 Ar, ArKO, ARO, ARO1, Aromatase cytochrome P450, family 19, Cytoplasm enzyme subfamily A, polypeptide 1 ESR1 AA420328, Alpha estrogen receptor,(α) estrogen receptor 1 Nucleus ligand- dependent nuclear receptor estrogen C18 steroids, oestrogen Other chemical drug estrogen receptor ER, ESR, ESR1/2, esr1/esr2 Nucleus group estrone (8R,9S,13S,14S)-3-hydroxy-13-methyl- Other chemical - 7,8,9,11,12,14,15,16-octahydro-6H- endogenous cyclopenta[a]phenanthren-17-one mammalian G6PD BOS 25472, G28A, G6PD1, G6PDX, glucose-6-phosphate Cytoplasm enzyme Glucose-6-P Dehydrogenase dehydrogenase GATA4 ASD2, GATA binding protein 4, GATA binding protein 4 Nucleus transcription TACHD, TOF, VSD1 regulator GHRHR growth hormone releasing -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
Behavioral and Brain Functions Biomed Central
Behavioral and Brain Functions BioMed Central Research Open Access Selection for tameness modulates the expression of heme related genes in silver foxes Julia Lindberg1,3, Susanne Björnerfeldt1, Morten Bakken2, Carles Vilà1, Elena Jazin3 and Peter Saetre*3 Address: 1Department of Evolution, Genomics and Systematics, Uppsala University, Norbyvägen 18D, S-752 36 Uppsala, Sweden, 2Department of Animal and Aquacultural Sciences, Norwegian University of Life Science, P.O. Box 5003 N-1432 Aas, Norway and 3Department of Physiology and Developmental Biology, Uppsala University, Norbyvägen 18A, S-752 36 Uppsala, Sweden Email: Julia Lindberg - [email protected]; Susanne Björnerfeldt - [email protected]; Morten Bakken - [email protected]; Carles Vilà - [email protected]; Elena Jazin - [email protected]; Peter Saetre* - [email protected] * Corresponding author Published: 17 April 2007 Received: 24 January 2007 Accepted: 17 April 2007 Behavioral and Brain Functions 2007, 3:18 doi:10.1186/1744-9081-3-18 This article is available from: http://www.behavioralandbrainfunctions.com/content/3/1/18 © 2007 Lindberg 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 genetic and molecular mechanisms of tameness are largely unknown. A line of silver foxes (Vulpes vulpes) selected for non-aggressive behavior has been used in Russia since the 1960's to study the effect of domestication. We have previously compared descendants of these selected (S) animals with a group of non-selected (NS) silver foxes kept under identical conditions, and showed that changes in the brain transcriptome between the two groups are small. -
Supp Table 6.Pdf
Supplementary Table 6. Processes associated to the 2037 SCL candidate target genes ID Symbol Entrez Gene Name Process NM_178114 AMIGO2 adhesion molecule with Ig-like domain 2 adhesion NM_033474 ARVCF armadillo repeat gene deletes in velocardiofacial syndrome adhesion NM_027060 BTBD9 BTB (POZ) domain containing 9 adhesion NM_001039149 CD226 CD226 molecule adhesion NM_010581 CD47 CD47 molecule adhesion NM_023370 CDH23 cadherin-like 23 adhesion NM_207298 CERCAM cerebral endothelial cell adhesion molecule adhesion NM_021719 CLDN15 claudin 15 adhesion NM_009902 CLDN3 claudin 3 adhesion NM_008779 CNTN3 contactin 3 (plasmacytoma associated) adhesion NM_015734 COL5A1 collagen, type V, alpha 1 adhesion NM_007803 CTTN cortactin adhesion NM_009142 CX3CL1 chemokine (C-X3-C motif) ligand 1 adhesion NM_031174 DSCAM Down syndrome cell adhesion molecule adhesion NM_145158 EMILIN2 elastin microfibril interfacer 2 adhesion NM_001081286 FAT1 FAT tumor suppressor homolog 1 (Drosophila) adhesion NM_001080814 FAT3 FAT tumor suppressor homolog 3 (Drosophila) adhesion NM_153795 FERMT3 fermitin family homolog 3 (Drosophila) adhesion NM_010494 ICAM2 intercellular adhesion molecule 2 adhesion NM_023892 ICAM4 (includes EG:3386) intercellular adhesion molecule 4 (Landsteiner-Wiener blood group)adhesion NM_001001979 MEGF10 multiple EGF-like-domains 10 adhesion NM_172522 MEGF11 multiple EGF-like-domains 11 adhesion NM_010739 MUC13 mucin 13, cell surface associated adhesion NM_013610 NINJ1 ninjurin 1 adhesion NM_016718 NINJ2 ninjurin 2 adhesion NM_172932 NLGN3 neuroligin -
Progression of Pathology in PINK1-Deficient Mouse Brain From
Torres-Odio et al. Journal of Neuroinflammation (2017) 14:154 DOI 10.1186/s12974-017-0928-0 RESEARCH Open Access Progression of pathology in PINK1-deficient mouse brain from splicing via ubiquitination, ER stress, and mitophagy changes to neuroinflammation Sylvia Torres-Odio1†, Jana Key1†, Hans-Hermann Hoepken1, Júlia Canet-Pons1, Lucie Valek2, Bastian Roller3, Michael Walter4, Blas Morales-Gordo5, David Meierhofer6, Patrick N. Harter3, Michel Mittelbronn3,7,8,9,10, Irmgard Tegeder2, Suzana Gispert1 and Georg Auburger1* Abstract Background: PINK1 deficiency causes the autosomal recessive PARK6 variant of Parkinson’s disease. PINK1 activates ubiquitin by phosphorylation and cooperates with the downstream ubiquitin ligase PARKIN, to exert quality control and control autophagic degradation of mitochondria and of misfolded proteins in all cell types. Methods: Global transcriptome profiling of mouse brain and neuron cultures were assessed in protein-protein interaction diagrams and by pathway enrichment algorithms. Validation by quantitative reverse transcriptase polymerase chain reaction and immunoblots was performed, including human neuroblastoma cells and patient primary skin fibroblasts. Results: In a first approach, we documented Pink1-deleted mice across the lifespan regarding brain mRNAs. The expression changes were always subtle, consistently affecting “intracellular membrane-bounded organelles”.Significant anomalies involved about 250 factors at age 6 weeks, 1300 at 6 months, and more than 3500 at age 18 months in the cerebellar tissue, including Srsf10, Ube3a, Mapk8, Creb3,andNfkbia. Initially, mildly significant pathway enrichment for the spliceosome was apparent. Later, highly significant networks of ubiquitin-mediated proteolysis and endoplasmic reticulum protein processing occurred. Finally, an enrichment of neuroinflammation factors appeared, together with profiles of bacterial invasion and MAPK signaling changes—while mitophagy had minor significance. -
Haem Oxygenase Is Synthetically Lethal with the Tumour Suppressor Fumarate Hydratase
LETTER doi:10.1038/nature10363 Haem oxygenase is synthetically lethal with the tumour suppressor fumarate hydratase Christian Frezza1, Liang Zheng1, Ori Folger2, Kartik N. Rajagopalan3, Elaine D. MacKenzie1, Livnat Jerby2, Massimo Micaroni4, Barbara Chaneton1, Julie Adam5, Ann Hedley1, Gabriela Kalna1, Ian P. M. Tomlinson6, Patrick J. Pollard5, Dave G. Watson7, Ralph J. Deberardinis3, Tomer Shlomi8*, Eytan Ruppin2,9* & Eyal Gottlieb1 Fumarate hydratase (FH) is an enzyme of the tricarboxylic acid majority of fumarate was unlabelled (m10), indicating that glucose is cycle (TCA cycle) that catalyses the hydration of fumarate into a minor source of carbon for the TCA cycle in both Fh1fl/fl and Fh12/2 malate. Germline mutations of FH are responsible for hereditary cells (Fig. 1e). On the other hand, when cells were incubated with 13C- leiomyomatosis and renal-cell cancer (HLRCC)1. It has previously glutamine most of the fumarate was labelled (Fig. 1f). In Fh12/2 cells been demonstrated that the absence of FH leads to the accumula- cultured with uniformly labelled glutamine (Fig. 1f), the vast majority of tion of fumarate, which activates hypoxia-inducible factors (HIFs) the labelled fumarate contained all four carbon atoms derived from at normal oxygen tensions2–4. However, so far no mechanism that glutamine (m14). By contrast, in Fh1fl/fl cells, the fumarate pool con- explains the ability of cells to survive without a functional TCA tained substantial fractions of molecules with fewer than four 13C atoms cycle has been provided. Here we use newly characterized genetically due to processing of fumarate beyond the Fh1 step. The lack of these modified kidney mouse cells in which Fh1 has been deleted, and products in Fh12/2 cells confirms that no accessory pathway exists in apply a newly developed computer model of the metabolism of these these cells to circumvent the loss of Fh1 enzymatic activity, indicating a cells to predict and experimentally validate a linear metabolic path- true blockade of the cycle. -
©Ferrata Storti Foundation
Original Articles T-cell/histiocyte-rich large B-cell lymphoma shows transcriptional features suggestive of a tolerogenic host immune response Peter Van Loo,1,2,3 Thomas Tousseyn,4 Vera Vanhentenrijk,4 Daan Dierickx,5 Agnieszka Malecka,6 Isabelle Vanden Bempt,4 Gregor Verhoef,5 Jan Delabie,6 Peter Marynen,1,2 Patrick Matthys,7 and Chris De Wolf-Peeters4 1Department of Molecular and Developmental Genetics, VIB, Leuven, Belgium; 2Department of Human Genetics, K.U.Leuven, Leuven, Belgium; 3Bioinformatics Group, Department of Electrical Engineering, K.U.Leuven, Leuven, Belgium; 4Department of Pathology, University Hospitals K.U.Leuven, Leuven, Belgium; 5Department of Hematology, University Hospitals K.U.Leuven, Leuven, Belgium; 6Department of Pathology, The Norwegian Radium Hospital, University of Oslo, Oslo, Norway, and 7Department of Microbiology and Immunology, Rega Institute for Medical Research, K.U.Leuven, Leuven, Belgium Citation: Van Loo P, Tousseyn T, Vanhentenrijk V, Dierickx D, Malecka A, Vanden Bempt I, Verhoef G, Delabie J, Marynen P, Matthys P, and De Wolf-Peeters C. T-cell/histiocyte-rich large B-cell lymphoma shows transcriptional features suggestive of a tolero- genic host immune response. Haematologica. 2010;95:440-448. doi:10.3324/haematol.2009.009647 The Online Supplementary Tables S1-5 are in separate PDF files Supplementary Design and Methods One microgram of total RNA was reverse transcribed using random primers and SuperScript II (Invitrogen, Merelbeke, Validation of microarray results by real-time quantitative Belgium), as recommended by the manufacturer. Relative reverse transcriptase polymerase chain reaction quantification was subsequently performed using the compar- Ten genes measured by microarray gene expression profil- ative CT method (see User Bulletin #2: Relative Quantitation ing were validated by real-time quantitative reverse transcrip- of Gene Expression, Applied Biosystems). -
Genome-Wide Insights on Gastrointestinal Nematode
www.nature.com/scientificreports OPEN Genome‑wide insights on gastrointestinal nematode resistance in autochthonous Tunisian sheep A. M. Ahbara1,2, M. Rouatbi3,4, M. Gharbi3,4, M. Rekik1, A. Haile1, B. Rischkowsky1 & J. M. Mwacharo1,5* Gastrointestinal nematode (GIN) infections have negative impacts on animal health, welfare and production. Information from molecular studies can highlight the underlying genetic mechanisms that enhance host resistance to GIN. However, such information often lacks for traditionally managed indigenous livestock. Here, we analysed 600 K single nucleotide polymorphism genotypes of GIN infected and non‑infected traditionally managed autochthonous Tunisian sheep grazing communal natural pastures. Population structure analysis did not fnd genetic diferentiation that is consistent with infection status. However, by contrasting the infected versus non‑infected cohorts using ROH, LR‑GWAS, FST and XP‑EHH, we identifed 35 candidate regions that overlapped between at least two methods. Nineteen regions harboured QTLs for parasite resistance, immune capacity and disease susceptibility and, ten regions harboured QTLs for production (growth) and meat and carcass (fatness and anatomy) traits. The analysis also revealed candidate regions spanning genes enhancing innate immune defence (SLC22A4, SLC22A5, IL‑4, IL‑13), intestinal wound healing/repair (IL‑4, VIL1, CXCR1, CXCR2) and GIN expulsion (IL‑4, IL‑13). Our results suggest that traditionally managed indigenous sheep have evolved multiple strategies that evoke and enhance GIN resistance and developmental stability. They confrm the importance of obtaining information from indigenous sheep to investigate genomic regions of functional signifcance in understanding the architecture of GIN resistance. Small ruminants (sheep and goats) make immense socio-economic and cultural contributions across the globe. -
Increased Expression of Heme-Binding Protein 1 Early In
RESEARCH ARTICLE Increased expression of heme-binding protein 1 early in Alzheimer’s disease is linked to neurotoxicity Oleksandr Yagensky1*, Mahdokht Kohansal-Nodehi2†, Saravanan Gunaseelan3†, Tamara Rabe4, Saima Zafar5,6, Inga Zerr6, Wolfgang Ha¨ rtig7, Henning Urlaub8,9, John JE Chua1,3,10,11,12* 1Research Group Protein Trafficking in Synaptic Development and Function, Max Planck Institute for Biophysical Chemistry, Go¨ ttingen, Germany; 2Department of Neurobiology, Max Planck Institute for Biophysical Chemistry, Go¨ ttingen, Germany; 3Interactomics and Intracellular Trafficking Laboratory, Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; 4Department of Genes and Behavior, Max Planck Institute for Biophysical Chemistry, Go¨ ttingen, Germany; 5Biomedical Engineering and Sciences Department, School of Mechanical and Manufacturing Engineering (SMME), National University of Sciences and Technology (NUST), Islamabad, Pakistan; 6Clinical Dementia Center, Department of Neurology, German Center for Neurodegenerative Diseases, University Medical Center Go¨ ttingen, Go¨ ttingen, Germany; 7Paul Flechsig Institute for Brain Research, University of Leipzig, Leipzig, Germany; 8Research Group Bioanalytical Mass Spectrometry, Max Planck Institute for Biophysical Chemistry, Go¨ ttingen, Germany; 9Bioanalytics Group, Institute for Clinical Chemistry, University Medical Center Go¨ ttingen, Go¨ ttingen, Germany; 10LSI Neurobiology Programme, National University of Singapore, Singapore,