Literature DB >> 24508980

No more non-model species: the promise of next generation sequencing for comparative immunology.

Nolwenn M Dheilly1, Coen Adema2, David A Raftos3, Benjamin Gourbal4, Christoph Grunau4, Louis Du Pasquier5.   

Abstract

Next generation sequencing (NGS) allows for the rapid, comprehensive and cost effective analysis of entire genomes and transcriptomes. NGS provides approaches for immune response gene discovery, profiling gene expression over the course of parasitosis, studying mechanisms of diversification of immune receptors and investigating the role of epigenetic mechanisms in regulating immune gene expression and/or diversification. NGS will allow meaningful comparisons to be made between organisms from different taxa in an effort to understand the selection of diverse strategies for host defence under different environmental pathogen pressures. At the same time, it will reveal the shared and unique components of the immunological toolkit and basic functional aspects that are essential for immune defence throughout the living world. In this review, we argue that NGS will revolutionize our understanding of immune responses throughout the animal kingdom because the depth of information it provides will circumvent the need to concentrate on a few "model" species.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Association studies; Diversification; Epigenetic; Gene expression; Immune system; Transcriptome sequencing

Mesh:

Year:  2014        PMID: 24508980      PMCID: PMC4096995          DOI: 10.1016/j.dci.2014.01.022

Source DB:  PubMed          Journal:  Dev Comp Immunol        ISSN: 0145-305X            Impact factor:   3.636


  147 in total

1.  Genome-wide analysis of the Drosophila immune response by using oligonucleotide microarrays.

Authors:  E De Gregorio; P T Spellman; G M Rubin; B Lemaitre
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-16       Impact factor: 11.205

2.  Plasticity of animal genome architecture unmasked by rapid evolution of a pelagic tunicate.

Authors:  France Denoeud; Simon Henriet; Sutada Mungpakdee; Jean-Marc Aury; Corinne Da Silva; Henner Brinkmann; Jana Mikhaleva; Lisbeth Charlotte Olsen; Claire Jubin; Cristian Cañestro; Jean-Marie Bouquet; Gemma Danks; Julie Poulain; Coen Campsteijn; Marcin Adamski; Ismael Cross; Fekadu Yadetie; Matthieu Muffato; Alexandra Louis; Stephen Butcher; Georgia Tsagkogeorga; Anke Konrad; Sarabdeep Singh; Marit Flo Jensen; Evelyne Huynh Cong; Helen Eikeseth-Otteraa; Benjamin Noel; Véronique Anthouard; Betina M Porcel; Rym Kachouri-Lafond; Atsuo Nishino; Matteo Ugolini; Pascal Chourrout; Hiroki Nishida; Rein Aasland; Snehalata Huzurbazar; Eric Westhof; Frédéric Delsuc; Hans Lehrach; Richard Reinhardt; Jean Weissenbach; Scott W Roy; François Artiguenave; John H Postlethwait; J Robert Manak; Eric M Thompson; Olivier Jaillon; Louis Du Pasquier; Pierre Boudinot; David A Liberles; Jean-Nicolas Volff; Hervé Philippe; Boris Lenhard; Hugues Roest Crollius; Patrick Wincker; Daniel Chourrout
Journal:  Science       Date:  2010-11-18       Impact factor: 47.728

3.  CpG methylation is targeted to transcription units in an invertebrate genome.

Authors:  Miho M Suzuki; Alastair R W Kerr; Dina De Sousa; Adrian Bird
Journal:  Genome Res       Date:  2007-04-09       Impact factor: 9.043

4.  Mapping short DNA sequencing reads and calling variants using mapping quality scores.

Authors:  Heng Li; Jue Ruan; Richard Durbin
Journal:  Genome Res       Date:  2008-08-19       Impact factor: 9.043

5.  NF-kappaB-dependent induction of microRNA miR-146, an inhibitor targeted to signaling proteins of innate immune responses.

Authors:  Konstantin D Taganov; Mark P Boldin; Kuang-Jung Chang; David Baltimore
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-02       Impact factor: 11.205

6.  Splicing factor SFRS1 recognizes a functionally diverse landscape of RNA transcripts.

Authors:  Jeremy R Sanford; Xin Wang; Matthew Mort; Natalia Vanduyn; David N Cooper; Sean D Mooney; Howard J Edenberg; Yunlong Liu
Journal:  Genome Res       Date:  2008-12-30       Impact factor: 9.043

7.  Anopheles NF-κB-regulated splicing factors direct pathogen-specific repertoires of the hypervariable pattern recognition receptor AgDscam.

Authors:  Yuemei Dong; Chris M Cirimotich; Andrew Pike; Ramesh Chandra; George Dimopoulos
Journal:  Cell Host Microbe       Date:  2012-10-18       Impact factor: 21.023

8.  AgDscam, a hypervariable immunoglobulin domain-containing receptor of the Anopheles gambiae innate immune system.

Authors:  Yuemei Dong; Harry E Taylor; George Dimopoulos
Journal:  PLoS Biol       Date:  2006-07       Impact factor: 8.029

9.  The innate immune repertoire in cnidaria--ancestral complexity and stochastic gene loss.

Authors:  David J Miller; Georg Hemmrich; Eldon E Ball; David C Hayward; Konstantin Khalturin; Noriko Funayama; Kiyokazu Agata; Thomas C G Bosch
Journal:  Genome Biol       Date:  2007       Impact factor: 13.583

10.  On the species of origin: diagnosing the source of symbiotic transcripts.

Authors:  P T Hraber; J W Weller
Journal:  Genome Biol       Date:  2001-08-23       Impact factor: 13.583

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  14 in total

1.  A family of variable immunoglobulin and lectin domain containing molecules in the snail Biomphalaria glabrata.

Authors:  Nolwenn M Dheilly; David Duval; Gabriel Mouahid; Rémi Emans; Jean-François Allienne; Richard Galinier; Clémence Genthon; Emeric Dubois; Louis Du Pasquier; Coen M Adema; Christoph Grunau; Guillaume Mitta; Benjamin Gourbal
Journal:  Dev Comp Immunol       Date:  2014-10-28       Impact factor: 3.636

Review 2.  Comparative immunogenomics of molluscs.

Authors:  Jonathan H Schultz; Coen M Adema
Journal:  Dev Comp Immunol       Date:  2017-03-18       Impact factor: 3.636

3.  Computational Methods for the Discovery and Annotation of Viral Integrations.

Authors:  Umberto Palatini; Elisa Pischedda; Mariangela Bonizzoni
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Examining adaptive evolution of immune activity: opportunities provided by gastropods in the age of 'omics'.

Authors:  Otto Seppälä; Cansu Çetin; Teo Cereghetti; Philine G D Feulner; Coen M Adema
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2021-04-05       Impact factor: 6.671

Review 5.  Functional Impact of RNA editing and ADARs on regulation of gene expression: perspectives from deep sequencing studies.

Authors:  Hsuan Liu; Chung-Pei Ma; Yi-Tung Chen; Scott C Schuyler; Kai-Ping Chang; Bertrand Chin-Ming Tan
Journal:  Cell Biosci       Date:  2014-08-19       Impact factor: 7.133

6.  De Novo transcriptome analysis of Oncomelania hupensis after molluscicide treatment by next-generation sequencing: implications for biology and future snail interventions.

Authors:  Qin Ping Zhao; Tao Xiong; Xing Jian Xu; Ming Sen Jiang; Hui Fen Dong
Journal:  PLoS One       Date:  2015-03-16       Impact factor: 3.240

7.  Transcriptome Analysis and Identification of Differentially Expressed Transcripts of Immune-Related Genes in Spleen of Gosling and Adult Goose.

Authors:  Anqi Wang; Fei Liu; Shun Chen; Mingshu Wang; Renyong Jia; Dekang Zhu; Mafeng Liu; Kunfeng Sun; Ying Wu; Xiaoyue Chen; Anchun Cheng
Journal:  Int J Mol Sci       Date:  2015-09-22       Impact factor: 5.923

8.  Immune Gene Expression Covaries with Gut Microbiome Composition in Stickleback.

Authors:  Lauren E Fuess; Stijn den Haan; Fei Ling; Jesse N Weber; Natalie C Steinel; Daniel I Bolnick
Journal:  mBio       Date:  2021-05-04       Impact factor: 7.867

9.  Different milk diets have substantial effects on the jejunal mucosal immune system of pre-weaning calves, as demonstrated by whole transcriptome sequencing.

Authors:  H M Hammon; D Frieten; C Gerbert; C Koch; G Dusel; R Weikard; C Kühn
Journal:  Sci Rep       Date:  2018-01-26       Impact factor: 4.379

10.  Profiling of the TCRβ repertoire in non-model species using high-throughput sequencing.

Authors:  Magdalena Migalska; Alvaro Sebastian; Jacek Radwan
Journal:  Sci Rep       Date:  2018-08-02       Impact factor: 4.379

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