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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
The Genomic Organization and Expression Pattern of the Low-Affinity Fc Gamma Receptors (Fcγr) in the Göttingen Minipig
Immunogenetics (2019) 71:123–136 https://doi.org/10.1007/s00251-018-01099-1 ORIGINAL ARTICLE The genomic organization and expression pattern of the low-affinity Fc gamma receptors (FcγR) in the Göttingen minipig Jerome Egli1 & Roland Schmucki1 & Benjamin Loos1 & Stephan Reichl1 & Nils Grabole1 & Andreas Roller1 & Martin Ebeling1 & Alex Odermatt2 & Antonio Iglesias1 Received: 9 August 2018 /Accepted: 24 November 2018 /Published online: 18 December 2018 # The Author(s) 2018 Abstract Safety and efficacy of therapeutic antibodies are often dependent on their interaction with Fc receptors for IgG (FcγRs). The Göttingen minipig represents a valuable species for biomedical research but its use in preclinical studies with therapeutic antibodies is hampered by the lack of knowledge about the porcine FcγRs. Genome analysis and sequencing now enabled the localization of the previously described FcγRIIIa in the orthologous location to human FCGR3A. In addition, we identified nearby the gene coding for the hitherto undescribed putative porcine FcγRIIa. The 1′241 bp long FCGR2A cDNA translates to a 274aa transmembrane protein containing an extracellular region with high similarity to human and cattle FcγRIIa. Like in cattle, the intracellular part does not contain an immunoreceptor tyrosine-based activation motif (ITAM) as in human FcγRIIa. Flow cytometry of the whole blood and single-cell RNA sequencing of peripheral blood mononuclear cells (PBMCs) of Göttingen minipigs revealed the expression profile of all porcine FcγRs which is compared to human and mouse. The new FcγRIIa is mainly expressed on platelets making the minipig a good model to study IgG-mediated platelet activation and aggregation. In contrast to humans, minipig blood monocytes were found to express inhibitory FcγRIIb that could lead to the underestimation of FcγR-mediated effects of monocytes observed in minipig studies with therapeutic antibodies. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Identification of Novel Kirrel3 Gene Splice Variants in Adult Human
Durcan et al. BMC Physiology 2014, 14:11 http://www.biomedcentral.com/1472-6793/14/11 RESEARCH ARTICLE Open Access Identification of novel Kirrel3 gene splice variants in adult human skeletal muscle Peter Joseph Durcan1, Johannes D Conradie1, Mari Van deVyver2 and Kathryn Helen Myburgh1* Abstract Background: Multiple cell types including trophoblasts, osteoclasts and myoblasts require somatic cell fusion events as part of their physiological functions. In Drosophila Melanogaster the paralogus type 1 transmembrane receptors and members of the immunoglobulin superfamily Kin of Irre (Kirre) and roughest (Rst) regulate myoblast fusion during embryonic development. Present within the human genome are three homologs to Kirre termed Kin of Irre like (Kirrel) 1, 2 and 3. Currently it is unknown if Kirrel3 is expressed in adult human skeletal muscle. Results: We investigated (using PCR and Western blot) Kirrel3 in adult human skeletal muscle samples taken at rest and after mild exercise induced muscle damage. Kirrel3 mRNA expression was verified by sequencing and protein presence via blotting with 2 different anti-Kirrel3 protein antibodies. Evidence for three alternatively spliced Kirrel3 mRNA transcripts in adult human skeletal muscle was obtained. Kirrel3 mRNA in adult human skeletal muscle was detected at low or moderate levels, or not at all. This sporadic expression suggests that Kirrel3 is expressed in a pulsatile manner. Several anti Kirrel3 immunoreactive proteins were detected in all adult human skeletal muscle samples analysed and results suggest the presence of different isoforms or posttranslational modification, or both. Conclusion: The results presented here demonstrate for the first time that there are at least 3 splice variants of Kirrel3 expressed in adult human skeletal muscle, two of which have never previously been identified in human muscle. -
Characteristics of B Cell-Associated Gene Expression in Patients With
MOLECULAR MEDICINE REPORTS 13: 4113-4121, 2016 Characteristics of B cell-associated gene expression in patients with coronary artery disease WENWEN YAN*, HAOMING SONG*, JINFA JIANG, WENJUN XU, ZHU GONG, QIANGLIN DUAN, CHUANGRONG LI, YUAN XIE and LEMIN WANG Department of Internal Medicine, Division of Cardiology, Tongji Hospital, Tongji University School of Medicine, Shanghai 200065, P.R. China Received May 19, 2015; Accepted February 12, 2016 DOI: 10.3892/mmr.2016.5029 Abstract. The current study aimed to identify differentially with the two other groups. Additionally the gene expression expressed B cell-associated genes in peripheral blood mono- levels of B cell regulatory genes were measured. In patients nuclear cells and observe the changes in B cell activation at with AMI, CR1, LILRB2, LILRB3 and VAV1 mRNA expres- different stages of coronary artery disease. Groups of patients sion levels were statistically increased, whereas, CS1 and IL4I1 with acute myocardial infarction (AMI) and stable angina (SA), mRNAs were significantly reduced compared with the SA and as well as healthy volunteers, were recruited into the study control groups. There was no statistically significant difference (n=20 per group). Whole human genome microarray analysis in B cell-associated gene expression levels between patients was performed to examine the expression of B cell-associated with SA and the control group. The present study identified the genes among these three groups. The mRNA expression levels downregulation of genes associated with BCRs, B2 cells and of 60 genes associated with B cell activity and regulation were B cell regulators in patients with AMI, indicating a weakened measured using reverse transcription-quantitative polymerase T cell-B cell interaction and reduced B2 cell activation during chain reaction. -
KIRREL Is Differentially Expressed in Adipose Tissue From
KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: in vitro role in ovary? Stéphanie Coyral-Castel, Christelle Ramé, Juliette Cognie, Jerôme Lecardonnel, Sylvain Marthey, Diane Esquerré, Christelle Hennequet-Antier, Sébastien Elis, Sébastien Fritz, Mekki Boussaha, et al. To cite this version: Stéphanie Coyral-Castel, Christelle Ramé, Juliette Cognie, Jerôme Lecardonnel, Sylvain Marthey, et al.. KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: invitro role in ovary?. Reproduction -Cambridge- Supplement-, Society for Reproduction and Fertility, 2018, 155 (2), pp.181-196. 10.1530/REP-17-0649. hal-02625059 HAL Id: hal-02625059 https://hal.inrae.fr/hal-02625059 Submitted on 26 May 2020 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Copyright Page 1 of 49Reproduction Advance Publication first posted on 23 November 2017 as Manuscript REP-17-0649 1 KIRREL is differentially expressed in adipose tissue from “fertil+” and “fertil-” cows: 2 in vitro role in ovary? 3 4 S Coyral-Castel1,2,3,4,5, -
(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. -
Mouse Fcrla Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Fcrla Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Fcrla conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Fcrla gene (NCBI Reference Sequence: NM_001160215 ; Ensembl: ENSMUSG00000038421 ) is located on Mouse chromosome 1. 5 exons are identified, with the ATG start codon in exon 1 and the TGA stop codon in exon 5 (Transcript: ENSMUST00000046322). Exon 2~4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Fcrla gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-100H5 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a targeted allele exhibit largely normal T-dependent and T-independent antibody responses with an increase in IgG1 after secondary challenge with sheep red blood cells. Exon 2~4 is not frameshift exon, and covers 69.69% of the coding region. The size of intron 1 for 5'-loxP site insertion: 5054 bp, and the size of intron 4 for 3'-loxP site insertion: 2439 bp. The size of effective cKO region: ~2074 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele 5' gRNA region gRNA region 3' 1 2 3 4 5 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Fcrla Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
High-Throughput Bioinformatics Approaches to Understand Gene Expression Regulation in Head and Neck Tumors
High-throughput bioinformatics approaches to understand gene expression regulation in head and neck tumors by Yanxiao Zhang A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Bioinformatics) in The University of Michigan 2016 Doctoral Committee: Associate Professor Maureen A. Sartor, Chair Professor Thomas E. Carey Assistant Professor Hui Jiang Professor Ronald J. Koenig Associate Professor Laura M. Rozek Professor Kerby A. Shedden c Yanxiao Zhang 2016 All Rights Reserved I dedicate this thesis to my family. For their unfailing love, understanding and support. ii ACKNOWLEDGEMENTS I would like to express my gratitude to Dr. Maureen Sartor for her guidance in my research and career development. She is a great mentor. She patiently taught me when I started new in this field, granted me freedom to explore and helped me out when I got lost. Her dedication to work, enthusiasm in teaching, mentoring and communicating science have inspired me to feel the excite- ment of research beyond novel scientific discoveries. I’m also grateful to have an interdisciplinary committee. Their feedback on my research progress and presentation skills is very valuable. In particular, I would like to thank Dr. Thomas Carey and Dr. Laura Rozek for insightful discussions on the biology of head and neck cancers and human papillomavirus, Dr. Ronald Koenig for expert knowledge on thyroid cancers, Dr. Hui Jiang and Dr. Kerby Shedden for feedback on the statistics part of my thesis. I would like to thank all the past and current members of Sartor lab for making the lab such a lovely place to stay and work in. -
Family of Neural Wiring Receptors in Bilaterians Defined by Phylogenetic, Biochemical, and Structural Evidence
Family of neural wiring receptors in bilaterians defined by phylogenetic, biochemical, and structural evidence Shouqiang Chenga,1, Yeonwoo Parkb,1, Justyna D. Kurletoa,c,1, Mili Jeond, Kai Zinnd, Joseph W. Thorntonb,e,f, and Engin Özkana,2 aDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637; bCommittee on Genetics, Genomics and Systems Biology, The University of Chicago, Chicago, IL 60637; cFaculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, 30-387 Krakow, Poland; dDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125; eDepartment of Human Genetics, The University of Chicago, Chicago, IL 60637; and fDepartment of Ecology and Evolution, The University of Chicago, Chicago, IL 60637 Edited by Rachelle Gaudet, Harvard University, Cambridge, MA, and accepted by Editorial Board Member Jeremy Nathans April 8, 2019 (received for review November 5, 2018) The evolution of complex nervous systems was accompanied by the Most of the Dprs and DIPs that have been studied thus far are expansion of numerous protein families, including cell-adhesion expressed exclusively in the nervous system. In the pupal optic molecules, surface receptors, and their ligands. These proteins lobe, the larval ventral nerve cord, olfactory receptor neurons, and mediate axonal guidance, synapse targeting, and other neuronal the neuromuscular system, each Dpr and DIP is expressed in a wiring-related functions. Recently, 32 interacting cell surface pro- unique subset of neurons (5, 7–9). One Dpr is also expressed in teins belonging to two newly defined families of the Ig superfamily postsynaptic muscle cells (10). In the optic lobe, Dprs and DIPs (IgSF) in fruit flies were discovered to label different subsets of are expressed in distinctive combinations in different neuronal neurons in the brain and ventral nerve cord. -
Genomic Organization of Mouse Fcy Receptor Genes
Proc. Nail. Acad. Sci. USA Vol. 87, pp. 2856-2860, April 1990 Immunology Genomic organization of mouse Fcy receptor genes (Fc receptors/exon-ntron junctions/protein domains/immunoglobulin gene superfamily) ANTHONY KULCZYCKI, JR.*t, JENNIFER WEBBER*, HAUNANI A. SOARES*, MICHAEL D. ONKEN*, JAMES A. THOMPSON*, DAVID D. CHAPLIN*t, DENNIS Y. LOH*t, AND JEFFREY P. TILLINGHAST* *Department of Medicine and tHoward Hughes Medical Institute, Washington University School of Medicine, Saint Louis, MO 63110 Communicated by David M. Kipnis, January 16, 1990 ABSTRACT We have isolated and characterized the gene responsible for intrathymic deletion of a large fraction of coding for the mouse Fc receptor that is termed Fc,,RHa. The potentially self-reactive T-cell clones (11-13). gene contains five exons and spans approximately 9 kilobases. An understanding of the relationship of the various Fc Unlike most members of the immunoglobulin gene superfam- receptor genes to each other, the factors influencing their ily, this gene utilizes multiple exons to encode its leader peptide. evolution, and molecular mechanisms regulating their The first exon encodes the hydrophobic region of the signal expression requires a detailed analysis of the structures of sequence; the second exon, which contains only 21 base pairs, their genes. Here we report the characterization of two encodes a segment of the signal peptidase recognition site; and members of this gene family. the beginning of the third exon encodes the predicted site of peptidase cleavage. The third and fourth exons each code for immunoglobulin-like extracellular domains. The fifth exon MATERIALS AND METHODS encodes the hydrophobic transmembrane domain and the Screening of Mouse cDNA and Genomic Libraries.