Transcriptional Profile of Human Anti-Inflamatory Macrophages Under Homeostatic, Activating and Pathological Conditions
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Multistage Analysis of Variants in the Inflammation Pathway and Lung Cancer Risk in Smokers
Published OnlineFirst May 9, 2012; DOI: 10.1158/1055-9965.EPI-12-0352-T Cancer Epidemiology, Research Article Biomarkers & Prevention Multistage Analysis of Variants in the Inflammation Pathway and Lung Cancer Risk in Smokers Margaret R. Spitz1, Ivan P. Gorlov2, Qiong Dong3, Xifeng Wu3, Wei Chen4, David W. Chang3, Carol J. Etzel3, Neil E. Caporaso5, Yang Zhao8, David C. Christiani8, Paul Brennan9, Demetrius Albanes7, Jianxin Shi6, Michael Thun10, Maria Teresa Landi5, and Christopher I. Amos4 Abstract Background: Tobacco-induced lung cancer is characterized by a deregulated inflammatory microenviron- ment. Variants in multiple genes in inflammation pathways may contribute to risk of lung cancer. Methods: We therefore conducted a three-stage comprehensive pathway analysis (discovery, replication, and meta-analysis) of inflammation gene variants in ever-smoking lung cancer cases and controls. A discovery set (1,096 cases and 727 controls) and an independent and nonoverlapping internal replication set (1,154 cases and 1,137 controls) were derived from an ongoing case–control study. For discovery, we used an iSelect BeadChip to interrogate a comprehensive panel of 11,737 inflammation pathway single-nucleotide poly- morphisms (SNP) and selected nominally significant (P < 0.05) SNPs for internal replication. Results: There were six SNPs that achieved statistical significance (P < 0.05) in the internal replication data set with concordant risk estimates for former smokers and five concordant and replicated SNPs in current smokers. Replicated hits were further tested in a subsequent meta-analysis using external data derived from two published genome-wide association studies (GWAS) and a case–control study. Two of these variants (a BCL2L14 SNP in former smokers and an SNP in IL2RB in current smokers) were further validated. -
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. -
Gene Expression Polarization
Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression This information is current as of September 27, 2021. Fernando O. Martinez, Siamon Gordon, Massimo Locati and Alberto Mantovani J Immunol 2006; 177:7303-7311; ; doi: 10.4049/jimmunol.177.10.7303 http://www.jimmunol.org/content/177/10/7303 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2006/11/03/177.10.7303.DC1 Material http://www.jimmunol.org/ References This article cites 61 articles, 22 of which you can access for free at: http://www.jimmunol.org/content/177/10/7303.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision by guest on September 27, 2021 • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2006 by The American Association of Immunologists All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Transcriptional Profiling of the Human Monocyte-to-Macrophage Differentiation and Polarization: New Molecules and Patterns of Gene Expression1 Fernando O. -
XPB Induces C1D Expression to Counteract UV-Induced Apoptosis
Published OnlineFirst June 8, 2010; DOI: 10.1158/1541-7786.MCR-09-0467 Molecular DNA Damage and Cellular Stress Responses Cancer Research XPB Induces C1D Expression to Counteract UV-Induced Apoptosis Guang Li1, Juhong Liu2, Mones Abu-Asab1, Shibuya Masabumi3, and Yoshiro Maru4 Abstract Although C1D has been shown to be involved in DNA double-strand break repair, how C1D expression was induced and the mechanism(s) by which C1D facilitates DNA repair in mammalian cells remain poorly understood. We and others have previously shown that expression of xeroderma pigmentosum B (XPB) pro- tein efficiently compensated the UV irradiation–sensitive phenotype of 27-1 cells, which lack functional XPB. To further explore XPB-regulated genes that could be involved in UV-induced DNA repair, differential dis- play analysis of mRNA levels from CHO-9, 27-1, and 27-1 complemented with wild-type XPB was done and C1D gene was identified as one of the major genes whose expression was significantly upregulated by restoring XPB function. We found that XPB is essential to induce C1D transcription after UV irradiation. The increase in C1D expression effectively compensates for the UV-induced proteolysis of C1D and thus maintains cellular C1D level to cope with DNA damage inflicted by UV irradiation. We further showed that although insufficient to rescue 27-1 cells from UV-induced apoptosis by itself, C1D facilitates XPB DNA repair through direct interaction with XPB. Our findings provided direct evidence that C1D is associated with DNA repair complex and may promote repair of UV-induced DNA damage. Mol Cancer Res; 8(6); 885–95. -
Synergistic Genetic Interactions Between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models
BASIC RESEARCH www.jasn.org Synergistic Genetic Interactions between Pkhd1 and Pkd1 Result in an ARPKD-Like Phenotype in Murine Models Rory J. Olson,1 Katharina Hopp ,2 Harrison Wells,3 Jessica M. Smith,3 Jessica Furtado,1,4 Megan M. Constans,3 Diana L. Escobar,3 Aron M. Geurts,5 Vicente E. Torres,3 and Peter C. Harris 1,3 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Autosomal recessive polycystic kidney disease (ARPKD) and autosomal dominant polycystic kidney disease (ADPKD) are genetically distinct, with ADPKD usually caused by the genes PKD1 or PKD2 (encoding polycystin-1 and polycystin-2, respectively) and ARPKD caused by PKHD1 (encoding fibrocys- tin/polyductin [FPC]). Primary cilia have been considered central to PKD pathogenesis due to protein localization and common cystic phenotypes in syndromic ciliopathies, but their relevance is questioned in the simple PKDs. ARPKD’s mild phenotype in murine models versus in humans has hampered investi- gating its pathogenesis. Methods To study the interaction between Pkhd1 and Pkd1, including dosage effects on the phenotype, we generated digenic mouse and rat models and characterized and compared digenic, monogenic, and wild-type phenotypes. Results The genetic interaction was synergistic in both species, with digenic animals exhibiting pheno- types of rapidly progressive PKD and early lethality resembling classic ARPKD. Genetic interaction be- tween Pkhd1 and Pkd1 depended on dosage in the digenic murine models, with no significant enhancement of the monogenic phenotype until a threshold of reduced expression at the second locus was breached. -
The Expression of the Human Apolipoprotein Genes and Their Regulation by Ppars
CORE Metadata, citation and similar papers at core.ac.uk Provided by UEF Electronic Publications The expression of the human apolipoprotein genes and their regulation by PPARs Juuso Uski M.Sc. Thesis Biochemistry Department of Biosciences University of Kuopio June 2008 Abstract The expression of the human apolipoprotein genes and their regulation by PPARs. UNIVERSITY OF KUOPIO, the Faculty of Natural and Environmental Sciences, Curriculum of Biochemistry USKI Juuso Oskari Thesis for Master of Science degree Supervisors Prof. Carsten Carlberg, Ph.D. Merja Heinäniemi, Ph.D. June 2008 Keywords: nuclear receptors; peroxisome proliferator-activated receptor; PPAR response element; apolipoprotein; lipid metabolism; high density lipoprotein; low density lipoprotein. Lipids are any fat-soluble, naturally-occurring molecules and one of their main biological functions is energy storage. Lipoproteins carry hydrophobic lipids in the water and salt-based blood environment for processing and energy supply in liver and other organs. In this study, the genomic area around the apolipoprotein genes was scanned in silico for PPAR response elements (PPREs) using the in vitro data-based computer program. Several new putative REs were found in surroundings of multiple lipoprotein genes. The responsiveness of those apolipoprotein genes to the PPAR ligands GW501516, rosiglitazone and GW7647 in the HepG2, HEK293 and THP-1 cell lines were tested with real-time PCR. The APOA1, APOA2, APOB, APOD, APOE, APOF, APOL1, APOL3, APOL5 and APOL6 genes were found to be regulated by PPARs in direct or secondary manners. Those results provide new insights in the understanding of lipid metabolism and so many lifestyle diseases like atherosclerosis, type 2 diabetes, heart disease and stroke. -
Intra-Erythrocyte Cation Concentrations in Relation to the C1797T B-Adducin Polymorphism in a General Population
Journal of Human Hypertension (2007) 21, 387–392 & 2007 Nature Publishing Group All rights reserved 0950-9240/07 $30.00 www.nature.com/jhh ORIGINAL ARTICLE Intra-erythrocyte cation concentrations in relation to the C1797T b-adducin polymorphism in a general population T Richart1, L Thijs1, T Kuznetsova1, V Tikhonoff1,2, L Zagato3, P Lijnen1, R Fagard1, J Wang4, G Bianchi3 and JA Staessen1 1Division of Hypertension and Cardiovascular Rehabilitation, Department of Cardiovascular Diseases, Studies Coordinating Centre, University of Leuven, Leuven, Belgium; 2Department of Clinical and Experimental Medicine, University of Padua, Padua, Italy; 3Division of Nephrology, Dialysis and Hypertension, University Vita Salute San Raffaele, Milan, Italy and 4Centre for Epidemiological Studies and Clinical Trials, Ruijin Hospital, Shanghai Institute of Hypertension, Shanghai, China Genetic variability in the ADD1 (Gly460Trp) and ADD2 P ¼ 0.93). In men, iK, iMg and iNa did not differ according (C1797T) subunits of the cytoskeleton protein adducin to ADD1 genotypes. In men, iK (R 2 ¼ 0.128) increased plays a role in the pathogenesis of hypertension, with age and serum Na þ , but decreased with serum total possibly via changes in intracellular cation concentra- calcium and the daily intake of alcohol. iMg (R2 ¼ 0.087) tions. ADD2 1797CC homozygous men have decreased decreased with age, but increased with serum total erythrocyte count and hematocrit. We investigated calcium. After adjustment for these covariates (Pp0.04 possible association between intra-erythrocyte cations for all), findings in men for iK (CC versus T: 85.8 versus and the adducin polymorphisms. In 259 subjects (mean 87.3 mmol/l; P ¼ 0.14) and iMg (1.91 versus 1.82 mmol/l; age 47.7 years), we measured intra-erythrocyte Na þ P ¼ 0.03) remained consistent. -
Altered DNA Methylation in Children Born to Mothers with Rheumatoid
Rheumatoid arthritis Ann Rheum Dis: first published as 10.1136/annrheumdis-2018-214930 on 29 May 2019. Downloaded from EPIDEMIOLOGICAL SCIENCE Altered DNA methylation in children born to mothers with rheumatoid arthritis during pregnancy Hilal Ince-Askan, 1 Pooja R Mandaviya,2 Janine F Felix,3,4,5 Liesbeth Duijts,3,6,7 Joyce B van Meurs,2 Johanna M W Hazes,1 Radboud J E M Dolhain1 Handling editor Josef S ABSTRACT Key messages Smolen Objectives The main objective of this study was to determine whether the DNA methylation profile of ► Additional material is What is already known about this subject? published online only. To children born to mothers with rheumatoid arthritis (RA) is ► Adverse exposures in early life are associated view please visit the journal different from that of children born to mothers from the with later-life health. online (http:// dx. doi. org/ 10. general population. In addition, we aimed to determine Epigenetic changes are thought to be one of the 1136annrheumdis- 2018- whether any differences in methylation are associated ► 214930). underlying mechanisms. with maternal RA disease activity or medication use There is not much known about the during pregnancy. ► For numbered affiliations see consequences of maternal rheumatoid arthritis end of article. Methods For this study, genome-wide DNA (RA) on the offsprings’ long-term health. methylation was measured at cytosine-phosphate- Correspondence to guanine (CpG) sites, using the Infinium Illumina What does this study add? Hilal Ince-Askan, Rheumatology, HumanMethylation 450K BeadChip, in 80 blood samples Erasmus Medical Centre, ► DNA methylation is different in children born to from children (mean age=6.8 years) born to mothers Rotterdam 3000 CA, The mothers with RA compared with mothers from Netherlands; with RA. -
Figure S1. Representative Report Generated by the Ion Torrent System Server for Each of the KCC71 Panel Analysis and Pcafusion Analysis
Figure S1. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. A Figure S1. Continued. Representative report generated by the Ion Torrent system server for each of the KCC71 panel analysis and PCaFusion analysis. (A) Details of the run summary report followed by the alignment summary report for the KCC71 panel analysis sequencing. (B) Details of the run summary report for the PCaFusion panel analysis. B Figure S2. Comparative analysis of the variant frequency found by the KCC71 panel and calculated from publicly available cBioPortal datasets. For each of the 71 genes in the KCC71 panel, the frequency of variants was calculated as the variant number found in the examined cases. Datasets marked with different colors and sample numbers of prostate cancer are presented in the upper right. *Significantly high in the present study. Figure S3. Seven subnetworks extracted from each of seven public prostate cancer gene networks in TCNG (Table SVI). Blue dots represent genes that include initial seed genes (parent nodes), and parent‑child and child‑grandchild genes in the network. Graphical representation of node‑to‑node associations and subnetwork structures that differed among and were unique to each of the seven subnetworks. TCNG, The Cancer Network Galaxy. Figure S4. REVIGO tree map showing the predicted biological processes of prostate cancer in the Japanese. Each rectangle represents a biological function in terms of a Gene Ontology (GO) term, with the size adjusted to represent the P‑value of the GO term in the underlying GO term database. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
Bioinformatics Analyses of Genomic Imprinting
Bioinformatics Analyses of Genomic Imprinting Dissertation zur Erlangung des Grades des Doktors der Naturwissenschaften der Naturwissenschaftlich-Technischen Fakultät III Chemie, Pharmazie, Bio- und Werkstoffwissenschaften der Universität des Saarlandes von Barbara Hutter Saarbrücken 2009 Tag des Kolloquiums: 08.12.2009 Dekan: Prof. Dr.-Ing. Stefan Diebels Berichterstatter: Prof. Dr. Volkhard Helms Priv.-Doz. Dr. Martina Paulsen Vorsitz: Prof. Dr. Jörn Walter Akad. Mitarbeiter: Dr. Tihamér Geyer Table of contents Summary________________________________________________________________ I Zusammenfassung ________________________________________________________ I Acknowledgements _______________________________________________________II Abbreviations ___________________________________________________________ III Chapter 1 – Introduction __________________________________________________ 1 1.1 Important terms and concepts related to genomic imprinting __________________________ 2 1.2 CpG islands as regulatory elements ______________________________________________ 3 1.3 Differentially methylated regions and imprinting clusters_____________________________ 6 1.4 Reading the imprint __________________________________________________________ 8 1.5 Chromatin marks at imprinted regions___________________________________________ 10 1.6 Roles of repetitive elements ___________________________________________________ 12 1.7 Functional implications of imprinted genes _______________________________________ 14 1.8 Evolution and parental conflict ________________________________________________ -
The Genetic Basis of Hyaline Fibromatosis Syndrome in Patients from a Consanguineous Background: a Case Series
Youssefian et al. BMC Medical Genetics (2018) 19:87 https://doi.org/10.1186/s12881-018-0581-1 CASE REPORT Open Access The genetic basis of hyaline fibromatosis syndrome in patients from a consanguineous background: a case series Leila Youssefian1,4†, Hassan Vahidnezhad1,2†, Andrew Touati1,3†, Vahid Ziaee5†, Amir Hossein Saeidian1, Sara Pajouhanfar1, Sirous Zeinali2,6 and Jouni Uitto1* Abstract Background: Hyaline fibromatosis syndrome (HFS) is a rare heritable multi-systemic disorder with significant dermatologic manifestations. It is caused by mutations in ANTXR2, which encodes a transmembrane receptor involved in collagen VI regulation in the extracellular matrix. Over 40 mutations in the ANTXR2 gene have been associated with cases of HFS. Variable severity of the disorder in different patients has been proposed to be related to the specific mutations in these patients and their location within the gene. Case presentation: In this report, we describe four cases of HFS from consanguineous backgrounds. Genetic analysis identified a novel homozygous frameshift deletion c.969del (p.Ile323Metfs*14) in one case, the previously reported mutation c.134 T > C (p.Leu45Pro) in another case, and the recurrent homozygous frameshift mutation c.1073dup (p.Ala359Cysfs*13) in two cases. The epidemiology of this latter mutation is of particular interest, as it is a candidate for inhibition of nonsense-mediated mRNA decay. Haplotype analysis was performed to determine the origin of this mutation in this consanguineous cohort, which suggested that it may develop sporadically in different populations. Conclusions: This information provides insights on genotype-phenotype correlations, identifies a previously unreported mutation in ANTXR2, and improves the understanding of a recurrent mutation in HFS.