151
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Mouse ENU Mutagenesis to Understand Immunity to Infection: Methods, Selected Examples, and Perspectives

      review-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Infectious diseases are responsible for over 25% of deaths globally, but many more individuals are exposed to deadly pathogens. The outcome of infection results from a set of diverse factors including pathogen virulence factors, the environment, and the genetic make-up of the host. The completion of the human reference genome sequence in 2004 along with technological advances have tremendously accelerated and renovated the tools to study the genetic etiology of infectious diseases in humans and its best characterized mammalian model, the mouse. Advancements in mouse genomic resources have accelerated genome-wide functional approaches, such as gene-driven and phenotype-driven mutagenesis, bringing to the fore the use of mouse models that reproduce accurately many aspects of the pathogenesis of human infectious diseases. Treatment with the mutagen N-ethyl- N-nitrosourea (ENU) has become the most popular phenotype-driven approach. Our team and others have employed mouse ENU mutagenesis to identify host genes that directly impact susceptibility to pathogens of global significance. In this review, we first describe the strategies and tools used in mouse genetics to understand immunity to infection with special emphasis on chemical mutagenesis of the mouse germ-line together with current strategies to efficiently identify functional mutations using next generation sequencing. Then, we highlight illustrative examples of genes, proteins, and cellular signatures that have been revealed by ENU screens and have been shown to be involved in susceptibility or resistance to infectious diseases caused by parasites, bacteria, and viruses.

          Related collections

          Most cited references165

          • Record: found
          • Abstract: found
          • Article: not found

          The global burden of nontyphoidal Salmonella gastroenteritis.

          To estimate the global burden of nontyphoidal Salmonella gastroenteritis, we synthesized existing data from laboratory-based surveillance and special studies, with a hierarchical preference to (1) prospective population-based studies, (2) "multiplier studies," (3) disease notifications, (4) returning traveler data, and (5) extrapolation. We applied incidence estimates to population projections for the 21 Global Burden of Disease regions to calculate regional numbers of cases, which were summed to provide a global number of cases. Uncertainty calculations were performed using Monte Carlo simulation. We estimated that 93.8 million cases (5th to 95th percentile, 61.8-131.6 million) of gastroenteritis due to Salmonella species occur globally each year, with 155,000 deaths (5th to 95th percentile, 39,000-303,000 deaths). Of these, we estimated 80.3 million cases were foodborne. Salmonella infection represents a considerable burden in both developing and developed countries. Efforts to reduce transmission of salmonellae by food and other routes must be implemented on a global scale.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Common west African HLA antigens are associated with protection from severe malaria.

            A large case-control study of malaria in West African children shows that a human leucocyte class I antigen (HLA-Bw53) and an HLA class II haplotype (DRB1*1302-DQB1*0501), common in West Africans but rare in other racial groups, are independently associated with protection from severe malaria. In this population they account for as great a reduction in disease incidence as the sickle-cell haemoglobin variant. These data support the hypothesis that the extraordinary polymorphism of major histocompatibility complex genes has evolved primarily through natural selection by infectious pathogens.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Identification of Lps2 as a key transducer of MyD88-independent TIR signalling.

              In humans, ten Toll-like receptor (TLR) paralogues sense molecular components of microbes, initiating the production of cytokine mediators that create the inflammatory response. Using N-ethyl-N-nitrosourea, we induced a germline mutation called Lps2, which abolishes cytokine responses to double-stranded RNA and severely impairs responses to the endotoxin lipopolysaccharide (LPS), indicating that TLR3 and TLR4 might share a specific, proximal transducer. Here we identify the Lps2 mutation: a distal frameshift error in a Toll/interleukin-1 receptor/resistance (TIR) adaptor protein known as Trif or Ticam-1. Trif(Lps2) homozygotes are markedly resistant to the toxic effects of LPS, and are hypersusceptible to mouse cytomegalovirus, failing to produce type I interferons when infected. Compound homozygosity for mutations at Trif and MyD88 (a cytoplasmic TIR-domain-containing adaptor protein) loci ablates all responses to LPS, indicating that only two signalling pathways emanate from the LPS receptor. However, a Trif-independent cell population is detectable when Trif(Lps2) mutant macrophages are stimulated with LPS. This reveals that an alternative MyD88-dependent 'adaptor X' pathway is present in some, but not all, macrophages, and implies afferent immune specialization.
                Bookmark

                Author and article information

                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                29 September 2014
                December 2014
                : 5
                : 4
                : 887-925
                Affiliations
                [1 ]Department of Human Genetics, McGill University, Montréal, QC H3G 0B1, Canada; E-Mail: gcaignard@ 123456gmail.com
                [2 ]Complex Traits Group, McGill University, Montréal, QC H3G 0B1, Canada
                [3 ]Department of Medicine, McGill University, Montréal, QC, H3G 0B1, Canada; E-Mails: megan.eva@ 123456mail.mcgill.ca (M.M.E.); danielle.malo@ 123456mcgill.ca (D.M.)
                [4 ]Department of Biochemistry, McGill University, Montréal, QC, H3G 0B1, Canada; E-Mails: rebekah.vanbruggen@ 123456mail.mcgill.ca (R.B.); philippe.gros@ 123456mcgill.ca (P.G.)
                [5 ]McGill University and Genome Quebec Innovation Center, Montréal, QC, H3A 1A4, Canada; E-Mails: eveleigh.rjm@ 123456gmail.com , (R.E.); guil.bourque@ 123456mcgill.ca (G.B.)
                [6 ]McGill Life Sciences Complex, Bellini Building, 3649 Sir William Osler Promenade, Room 367, Montreal, QC, H3G 0B1, Canada
                Author notes
                [†]

                These authors contributed equally to this work.

                [* ]Author to whom correspondence should be addressed; E-Mail: silvia.vidal@ 123456mcgill.ca ; Tel.: +1-514-398-2362.
                Article
                genes-05-00887
                10.3390/genes5040887
                4276919
                25268389
                ca09e129-f4f4-48a0-ad04-6ee110eff3c6
                © 2014 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 June 2014
                : 19 August 2014
                : 21 August 2014
                Categories
                Review

                infectious diseases,enu,immunity,mouse genetic models
                infectious diseases, enu, immunity, mouse genetic models

                Comments

                Comment on this article