An Inflammatory Gene Signature Distinguishes Neurofibroma
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The Role of Type I Interferon in the Immunobiology of Chikungunya Virus
The role of type I interferon in the immunobiology of chikungunya virus Jane Amelia Clare Wilson B. App. Sc. (Human Biology), B. App. Sc. (Hons) A thesis submitted for the degree of Doctor of Philosophy at The University of Queensland in 2015 School of Medicine & QIMR Berghofer Medical Research Institute I Abstract Chikungunya virus (CHIKV) is a mosquito-transmitted alphavirus that can cause explosive outbreaks of a febrile, arthritic/arthralgic disease usually lasting weeks to months, and in rare cases, more than a year. In 2004, the largest ever CHIKV outbreak began in Kenya, spreading to islands of the Indian Ocean, India, South East Asia and major outbreaks have recently occurred in the South Pacific Islands and the Caribbean. The host type I interferon (IFN) response is crucial for effective control of CHIKV infection. Herein, the dynamics, source and responses generated by the type I IFNs following CHIKV infection were investigated. Interferon regulatory factors 3 (IRF3) and IRF7 are key transcription factors for the type I IFN response. While CHIKV infection of wild-type mice is non-lethal, infection of mice deficient in both IRF3 and IRF7 (IRF3/7-/-) resulted in mortality, illustrating that these factors are essential for protection. Using knockout mice for the adaptor molecules upstream of IRF3 and 7, IPS1 was found to be the most important for type I IFN production, with TRIF and MyD88 also contributing to the response. Mortality in IRF3/7-/- mice was also associated with type I IFN suppression of pathological levels of IFNγ and haemorrhagic shock. Heterozygous reporter mice, in which eGFP was expressed under the control of either the IFNβ or the IFNα6 promoter on one chromosome, were employed to try and identify the cellular source of type I IFN production following CHIVK infection. -
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 -
Jimmunol.0903453.Full.Pdf
Antiviral Response Dictated by Choreographed Cascade of Transcription Factors This information is current as Elena Zaslavsky, Uri Hershberg, Jeremy Seto, Alissa M. of October 2, 2021. Pham, Susanna Marquez, Jamie L. Duke, James G. Wetmur, Benjamin R. tenOever, Stuart C. Sealfon and Steven H. Kleinstein J Immunol published online 17 February 2010 http://www.jimmunol.org/content/early/2010/02/17/jimmun ol.0903453 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2010/02/15/jimmunol.090345 Material 3.DC1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on October 2, 2021 *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 All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published February 17, 2010, doi:10.4049/jimmunol.0903453 The Journal of Immunology Antiviral Response Dictated by Choreographed Cascade of Transcription Factors Elena Zaslavsky,*,†,1 Uri Hershberg,‡,1 Jeremy Seto,*,† Alissa M. Pham,x Susanna Marquez,‡ Jamie L. Duke,{ James G. Wetmur,x Benjamin R. tenOever,x Stuart C. Sealfon,*,† and Steven H. -
Diverse Functional Autoantibodies in Patients with COVID-19
medRxiv preprint doi: https://doi.org/10.1101/2020.12.10.20247205; this version posted December 11, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Diverse Functional Autoantibodies in Patients with COVID-19 Eric Y. Wang1,*, Tianyang Mao1,*, Jon Klein1,*, Yile Dai1,*, John D. Huck1, Feimei Liu1, Neil S. Zheng1, Ting Zhou1, Benjamin Israelow1, Patrick Wong1, Carolina Lucas1, Julio Silva1, Ji Eun Oh1, Eric Song1, Emily S. Perotti1, Suzanne Fischer1, Melissa Campbell5, John B. Fournier5, Anne L. Wyllie3, Chantal B. F. Vogels3, Isabel M. Ott3, Chaney C. Kalinich3, Mary E. Petrone3, Anne E. Watkins3, Yale IMPACT Team¶, Charles Dela Cruz4, Shelli F. Farhadian5, Wade L. Schulz6,7, Nathan D. Grubaugh3, Albert I. Ko3,5, Akiko Iwasaki1,3,8,#, Aaron M. Ring1,2,# 1 Department of Immunobiology, Yale School of Medicine, New Haven, CT, USA 2 Department of Pharmacology, Yale School of Medicine, New Haven, CT, USA 3 Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA 4 Department of Medicine, Section of Pulmonary and Critical Care Medicine, Yale School of Medicine, New Haven, CT, USA 5 Department of Internal Medicine (Infectious Diseases), Yale School of Medicine, New Haven, CT, USA 6 Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA 7 Center for Outcomes Research and Evaluation, Yale-New Haven Hospital, New Haven, CT, USA 8 Howard Hughes Medical Institute, Chevy Chase, MD, USA * These authors contributed equally to this work ¶ A list of authors and their affiliations appears at the end of the paper # Correspondence: [email protected] (A.M.R.); [email protected] (A.I.) 1 NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. -
Stimulation of Innate and Adaptive Immunity by Using Filamentous Bacteriophage Fd Targeted to DEC-205
Hindawi Publishing Corporation Journal of Immunology Research Volume 2015, Article ID 585078, 11 pages http://dx.doi.org/10.1155/2015/585078 Research Article Stimulation of Innate and Adaptive Immunity by Using Filamentous Bacteriophage fd Targeted to DEC-205 Luciana D’Apice,1 Valerio Costa,2 Rossella Sartorius,1 Maria Trovato,1 Marianna Aprile,2 and Piergiuseppe De Berardinis1 1 Institute of Protein Biochemistry (IBP), National Council of Research, 80131 Naples, Italy 2Institute of Genetics and Biophysics “A. Buzzati-Traverso” (IGB), National Council of Research, 80131 Naples, Italy Correspondence should be addressed to Luciana D’Apice; [email protected] Received 26 March 2015; Accepted 27 May 2015 Academic Editor: L. Leite Copyright © 2015 Luciana D’Apice et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The filamentous bacteriophage fd, codisplaying antigenic determinants and a single chain antibody fragment directed against the dendritic cell receptor DEC-205, is a promising vaccine candidate for its safety and its ability to elicit innate and adaptive immune response in absence of adjuvants. By using a system vaccinology approach based on RNA-Sequencing (RNA-Seq) analysis, we describe a relevant gene modulation in dendritic cells pulsed with anti-DEC-205 bacteriophages fd. RNA-Seq data analysis indicates that the bacteriophage fd virions are sensed as a pathogen by dendritic cells; they activate the danger receptors that trigger an innate immune response and thus confer a strong adjuvanticity that is needed to obtain a long-lasting adaptive immune response. -
Type I Interferon Remodels Lysosome Function and Modifies Intestinal Epithelial Defense
Type I interferon remodels lysosome function and modifies intestinal epithelial defense Hailong Zhanga,b,c, Abdelrahim Zoueda,b,c, Xu Liua,b,c, Brandon Sitb,c, and Matthew K. Waldora,b,c,1 aHoward Hughes Medical Insitute, Boston, MA 02115; bDivision of Infectious Diseases, Brigham and Women’s Hospital, Boston, MA 02115; and cDepartment of Microbiology, Harvard Medical School, Boston, MA 02115 Edited by Jorge E. Galán, Yale University, New Haven, CT, and approved October 14, 2020 (received for review May 29, 2020) Organelle remodeling is critical for cellular homeostasis, but host the full spectrum of IFN-I-mediated changes in cellular function factors that control organelle function during microbial infection is incomplete. Although IFN-Is are known to play critical roles in remain largely uncharacterized. Here, a genome-scale CRISPR/Cas9 antiviral responses, their functions in bacterial infection are less screen in intestinal epithelial cells with the prototypical intracellu- clear, and IFN-I signaling has been reported to be either pro- lar bacterial pathogen Salmonella led us to discover that type I IFN tective or detrimental to the host depending on the specific (IFN-I) remodels lysosomes. Even in the absence of infection, IFN-I bacterial pathogen (19). signaling modified the localization, acidification, protease activity, Here, we carried out a genome-scale CRISPR/Cas9 screen to and proteomic profile of lysosomes. Proteomic and genetic analyses identify the host factors that contribute to Stm’s cytotoxicity to revealed that multiple IFN-I–stimulated genes including IFITM3, SLC15A3, IECs. This screen revealed IFN-I signaling as a key susceptibility and CNP contribute to lysosome acidification. -
Prevalent Homozygous Deletions of Type I Interferon and Defensin Genes in Human Cancers Associate with Immunotherapy Resistance
Author Manuscript Published OnlineFirst on April 4, 2018; DOI: 10.1158/1078-0432.CCR-17-3008 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Prevalent Homozygous Deletions of Type I Interferon and Defensin Genes in Human Cancers Associate with Immunotherapy Resistance Zhenqing Ye1; Haidong Dong2,3; Ying Li1; Tao Ma1,4; Haojie Huang4; Hon-Sing Leong4; Jeanette Eckel-Passow1; Jean-Pierre A. Kocher1; Han Liang5; LiguoWang1,4,* 1Division of Biomedical Statistics and Informatics, Department of Health Sciences, Mayo Clinic, Rochester, Minnesota 55905, United States of America 2Department of Immunology, College of Medicine, Mayo Clinic, Rochester, Minnesota 55905, United States of America 3Department of Urology, Mayo Clinic, Rochester, Minnesota 55905, United States of America 4Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota 55905, United States of America 5Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, United States of America Running title: Pervasive Deletion of Interferon/Defensin in Human Cancers Keywords: Homozygous deletion, Type-I interferon, Defensin, immunotherapy resistance, cancer * Correspondence to: Liguo Wang, Ph.D. Associate Professor Division of Biomedical Statistics and Informatics, Mayo Clinic 200 1st St SW Rochester, MN 55905, USA Phone: +1-507-284-8728 Fax: +1-507-284-0745 Email: [email protected] The authors declare no potential conflicts of interest. 1 Downloaded from clincancerres.aacrjournals.org on September 29, 2021. © 2018 American Association for Cancer Research. Author Manuscript Published OnlineFirst on April 4, 2018; DOI: 10.1158/1078-0432.CCR-17-3008 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. -
Gene Set Size Count Z-Score P-Value Q-Value List of Genes
Supplementary Data 2-1 Results from competitive pathway enrichment analysis based on genome-wide summary-level data of hsGWAS. Gene Set Size Count z-score p-value q-value List of Genes KEGG_ALLOGRAFT_ 38 36 12.6476 0.00E+00 0.00E+00 HLA-DRB5(4.11028); IL2(3.62922); HLA-E(3.27708); HLA-G(3.2749); HLA- REJECTION DQA2(3.16347); HLA-DRA(3.14994); HLA-DOB(3.11438); HLA-DMB(3.09917); HLA-DMA(3.09615); TNF(3.09414); HLA-DPB1(3.03922); HLA-DPA1(3.0355); HLA-A(3.02312); HLA-C(2.98835); HLA-DQB1(2.97025); HLA-B(2.95626); HLA- DQA1(2.94591); HLA-F(2.83254); HLA-DRB1(2.76738); HLA-DOA(2.72508); IFNG(1.74523); PRF1(1.46483); FASLG(1.10083); FAS(0.923795); HLA- DRB3(0.760622); CD80(0.436654); IL4(0.324564); CD40(0.271072); HLA- DRB4(0.0708609); IL12A(0.0685942); IL5(0.0659333); CD86(0.049911); CD28(- 0.16103); IL10(-0.165903); IL12B(-0.245281); GZMB(-0.268581); KEGG_GRAFT_VERSUS_HOS 42 37 12.6129 0.00E+00 0.00E+00 HLA-DRB5(4.11028); IL2(3.62922); HLA-E(3.27708); HLA-G(3.2749); HLA- T_DISEASE DQA2(3.16347); HLA-DRA(3.14994); HLA-DOB(3.11438); HLA-DMB(3.09917); HLA-DMA(3.09615); TNF(3.09414); HLA-DPB1(3.03922); HLA-DPA1(3.0355); HLA-A(3.02312); HLA-C(2.98835); HLA-DQB1(2.97025); HLA-B(2.95626); HLA- DQA1(2.94591); HLA-F(2.83254); HLA-DRB1(2.76738); HLA-DOA(2.72508); IL6(1.94139); IFNG(1.74523); PRF1(1.46483); FASLG(1.10083); FAS(0.923795); HLA-DRB3(0.760622); CD80(0.436654); IL1A(0.402186); KLRD1(0.29064); KIR3DL1(0.157683); HLA-DRB4(0.0708609); CD86(0.049911); CD28(-0.16103); GZMB(-0.268581); IL1B(-0.388308); KLRC1(-0.466394); KIR3DL2(-0.786806); KEGG_TYPE_I_DIABETES_ME -
Microglial Responses to Peripheral Type 1 Interferon Ernest Aw1,2, Yingying Zhang1 and Michael Carroll1*
Aw et al. Journal of Neuroinflammation (2020) 17:340 https://doi.org/10.1186/s12974-020-02003-z RESEARCH Open Access Microglial responses to peripheral type 1 interferon Ernest Aw1,2, Yingying Zhang1 and Michael Carroll1* Abstract Background: Interferon α (IFNα) is a cytokine whose production is increased endogenously in response to viral infection and in autoimmune diseases such as systemic lupus erythematosus (SLE). An elevated IFNα signature has been associated with clinically observed neuro-behavioural deficits such as mild cognitive impairment, fatigue, depression and psychosis in these diseases. However, the mechanisms underlying these neuropsychiatric symptoms remain largely unknown, and it is as yet unclear how IFNα signalling might influence central nervous system (CNS) function. Aberrant microglia-mediated synaptic pruning and function has recently been implicated in several neurodegenerative and neuropsychiatric diseases, but whether and how IFNα modulates these functions are not well defined. Methods: Using a model of peripheral IFNα administration, we investigated gene expression changes due to IFNAR signalling in microglia. Bulk RNA sequencing on sorted microglia from wild type and microglia-specific Ifnar1 conditional knockout mice was performed to evaluate IFNα and IFNAR signalling-dependent changes in gene expression. Furthermore, the effects of IFNα on microglia morphology and synapse engulfment were assessed, via immunohistochemistry and flow cytometry. Results: We found that IFNα exposure through the periphery induces a unique gene signature in microglia that includes the expected upregulation of multiple interferon-stimulated genes (ISGs), as well as the complement component C4b. We additionally characterized several IFNα-dependent changes in microglial phenotype, including expression of CD45 and CD68, cellular morphology and presynaptic engulfment, that reveal subtle brain region- specific differences. -
Combined Genetic and Transcriptome Analysis of Patients With
Systemic lupus erythematosus Ann Rheum Dis: first published as 10.1136/annrheumdis-2018-214379 on 5 June 2019. Downloaded from TRANSLATIONAL SCIENCE Combined genetic and transcriptome analysis of patients with SLE: distinct, targetable signatures for susceptibility and severity Nikolaos I Panousis, 1,2,3 George K Bertsias, 4,5 Halit Ongen,1,2,3 Irini Gergianaki,4,5 Maria G Tektonidou, 6,7 Maria Trachana,8 Luciana Romano-Palumbo,1 Deborah Bielser,1 Cedric Howald,1,2,3 Cristina Pamfil,9 Antonis Fanouriakis, 10 Despoina Kosmara,4,5 Argyro Repa,4 Prodromos Sidiropoulos,4,5 Emmanouil T Dermitzakis,1,2,3,11 Dimitrios T Boumpas5,7,10,11,12 Handling editor Josef S ABSTRact Key messages Smolen Objectives Systemic lupus erythematosus (SLE) diagnosis and treatment remain empirical and the ► Additional material is What is already known about this subject? published online only. To view molecular basis for its heterogeneity elusive. We explored ► Previous DNA microarray gene expression please visit the journal online the genomic basis for disease susceptibility and severity. studies have identified gene signatures (http:// dx. doi. org/ 10. 1136/ Methods mRNA sequencing and genotyping in blood involved in systemic lupus erythematosus (SLE) annrheumdis- 2018- 214379). from 142 patients with SLE and 58 healthy volunteers. such as those linked to granulocytes, pattern Abundances of cell types were assessed by CIBERSORT For numbered affiliations see recognition receptors, type I interferon and and cell-specific effects by interaction terms in linear end of article. plasmablasts. models. Differentially expressed genes (DEGs) were used Correspondence to to train classifiers (linear discriminant analysis) of SLE What does this study add? Professor Emmanouil T versus healthy individuals in 80% of the dataset and A more comprehensive profiling of the ‘genomic Dermitzakis, Department of were validated in the remaining 20% running 1000 ► Genetic Medicine and architecture’ of SLE by combining genetic and iterations. -
Variation in the Type I Interferon Gene Cluster on 9P21 Influences Susceptibility to Asthma and Atopy
Genes and Immunity (2006) 7, 169–178 & 2006 Nature Publishing Group All rights reserved 1466-4879/06 $30.00 www.nature.com/gene ORIGINAL ARTICLE Variation in the type I interferon gene cluster on 9p21 influences susceptibility to asthma and atopy A Chan1,2, DL Newman1,3, AM Shon, DH Schneider, S Kuldanek and C Ober Department of Human Genetics, The University of Chicago, Chicago, IL, USA A genome-wide screen for asthma and atopy susceptibility alleles conducted in the Hutterites, a founder population of European descent, reported evidence of linkage with a short tandem repeat polymorphism (STRP) within the type I interferon (IFN) gene cluster on chromosome 9p21. The goal of this study was to identify variation within the IFN gene cluster that influences susceptibility to asthma and atopic phenotypes. We screened approximately 25 kb of sequence, including the flanking sequence of all 15 functional genes and the single coding exon in 12, in Hutterites representing different IFNA-STRP genotypes. We identified 78 polymorphisms, and genotyped 40 of these (in 14 genes) in a large Hutterite pedigree. Modest associations (0.003oPo0.05) with asthma, bronchial hyper-responsiveness (BHR), and atopy were observed with individual variants or genes, spanning the entire 400 kb region. However, pairwise combinations of haplotypes between genes showed highly significant associations with different phenotypes (Po10À5) that were localized to specific pairs of genes or regions of this cluster. These results suggest that variation in multiple genes in the type I IFN cluster on 9p22 contribute to asthma and atopy susceptibility, and that not all genes contribute equally to all phenotypes. -
(Hies) Infected with Enteric RNA Viruses Identifies Universal and Virus-Specific Epithelial Responses
viruses Article Comparative Analysis of Public RNA-Sequencing Data from Human Intestinal Enteroid (HIEs) Infected with Enteric RNA Viruses Identifies Universal and Virus-Specific Epithelial Responses Roberto J. Cieza 1,2 , Jonathan L. Golob 2, Justin A. Colacino 3,4 and Christiane E. Wobus 1,* 1 Department of Microbiology and Immunology, University of Michigan, Ann Arbor, MI 48109, USA; [email protected] 2 Department of Internal Medicine, Division of Infectious Diseases, University of Michigan Medical School, Ann Arbor, MI 48109, USA; [email protected] 3 Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI 48109, USA; [email protected] 4 Department of Nutritional Sciences, University of Michigan, Ann Arbor, MI 48109, USA * Correspondence: [email protected] Abstract: Acute gastroenteritis (AGE) has a significant disease burden on society. Noroviruses, rotaviruses, and astroviruses are important viral causes of AGE but are relatively understudied Citation: Cieza, R.J.; Golob, J.L.; enteric pathogens. Recent developments in novel biomimetic human models of enteric disease are Colacino, J.A.; Wobus, C.E. opening new possibilities for studying human-specific host–microbe interactions. Human intestinal Comparative Analysis of Public enteroids (HIE), which are epithelium-only intestinal organoids derived from stem cells isolated from RNA-Sequencing Data from Human human intestinal biopsy tissues, have been successfully used to culture representative norovirus, Intestinal Enteroid (HIEs) Infected rotavirus, and astrovirus strains. Previous studies investigated host–virus interactions at the intestinal with Enteric RNA Viruses Identifies epithelial interface by individually profiling the epithelial transcriptional response to a member of Universal and Virus-Specific each virus family by RNA sequencing (RNA-seq).