Literature DB >> 17878436

Functional genomics of the chicken--a model organism.

L A Cogburn1, T E Porter, M J Duclos, J Simon, S C Burgess, J J Zhu, H H Cheng, J B Dodgson, J Burnside.   

Abstract

Since the sequencing of the genome and the development of high-throughput tools for the exploration of functional elements of the genome, the chicken has reached model organism status. Functional genomics focuses on understanding the function and regulation of genes and gene products on a global or genome-wide scale. Systems biology attempts to integrate functional information derived from multiple high-content data sets into a holistic view of all biological processes within a cell or organism. Generation of a large collection ( approximately 600K) of chicken expressed sequence tags, representing most tissues and developmental stages, has enabled the construction of high-density microarrays for transcriptional profiling. Comprehensive analysis of this large expressed sequence tag collection and a set of approximately 20K full-length cDNA sequences indicate that the transcriptome of the chicken represents approximately 20,000 genes. Furthermore, comparative analyses of these sequences have facilitated functional annotation of the genome and the creation of several bioinformatic resources for the chicken. Recently, about 20 papers have been published on transcriptional profiling with DNA microarrays in chicken tissues under various conditions. Proteomics is another powerful high-throughput tool currently used for examining the dynamics of protein expression in chicken tissues and fluids. Computational analyses of the chicken genome are providing new insight into the evolution of gene families in birds and other organisms. Abundant functional genomic resources now support large-scale analyses in the chicken and will facilitate identification of transcriptional mechanisms, gene networks, and metabolic or regulatory pathways that will ultimately determine the phenotype of the bird. New technologies such as marker-assisted selection, transgenics, and RNA interference offer the opportunity to modify the phenotype of the chicken to fit defined production goals. This review focuses on functional genomics in the chicken and provides a road map for large-scale exploration of the chicken genome.

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Year:  2007        PMID: 17878436     DOI: 10.1093/ps/86.10.2059

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  35 in total

Review 1.  Genomics and bioinformatics resources for crop improvement.

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Authors:  Michael J Quinn; Terry L Hanna; Alicia A Shiflett; Craig A McFarland; Michelle E Cook; Mark S Johnson; Kurt A Gust; Edward J Perkins
Journal:  Ecotoxicology       Date:  2012-11-17       Impact factor: 2.823

3.  The PeptideAtlas of the Domestic Laying Hen.

Authors:  James McCord; Zhi Sun; Eric W Deutsch; Robert L Moritz; David C Muddiman
Journal:  J Proteome Res       Date:  2017-02-14       Impact factor: 4.466

4.  TriFLDB: a database of clustered full-length coding sequences from Triticeae with applications to comparative grass genomics.

Authors:  Keiichi Mochida; Takuhiro Yoshida; Tetsuya Sakurai; Yasunari Ogihara; Kazuo Shinozaki
Journal:  Plant Physiol       Date:  2009-05-15       Impact factor: 8.340

5.  Modern approaches to understanding stress and disease susceptibility: A review with special emphasis on respiratory disease.

Authors:  Palok Aich; Andrew A Potter; Philip J Griebel
Journal:  Int J Gen Med       Date:  2009-07-30

6.  LncRNA lnc_13814 promotes the cells apoptosis in granulosa cells of duck by acting as apla-miR-145-4 sponge.

Authors:  Yan Wu; Hongwei Xiao; Jinsong Pi; Hao Zhang; Ailuan Pan; Yuejin Pu; Zhenhua Liang; Jie Shen; Jinping Du; Tao Huang
Journal:  Cell Cycle       Date:  2021-04-12       Impact factor: 4.534

7.  The chicken frizzle feather is due to an α-keratin (KRT75) mutation that causes a defective rachis.

Authors:  Chen Siang Ng; Ping Wu; John Foley; Anne Foley; Merry-Lynn McDonald; Wen-Tau Juan; Chih-Jen Huang; Yu-Ting Lai; Wen-Sui Lo; Chih-Feng Chen; Suzanne M Leal; Huanmin Zhang; Randall B Widelitz; Pragna I Patel; Wen-Hsiung Li; Cheng-Ming Chuong
Journal:  PLoS Genet       Date:  2012-07-19       Impact factor: 5.917

8.  Transcriptome profiling of the feeding-to-fasting transition in chicken liver.

Authors:  Colette Désert; Michel J Duclos; Pierre Blavy; Frédéric Lecerf; François Moreews; Christophe Klopp; Marc Aubry; Frédéric Herault; Pascale Le Roy; Cécile Berri; Madeleine Douaire; Christian Diot; Sandrine Lagarrigue
Journal:  BMC Genomics       Date:  2008-12-17       Impact factor: 3.969

9.  Integrative sequence and tissue expression profiling of chicken and mammalian aquaporins.

Authors:  Raphael D Isokpehi; Rajendram V Rajnarayanan; Cynthia D Jeffries; Tolulola O Oyeleye; Hari H P Cohly
Journal:  BMC Genomics       Date:  2009-07-14       Impact factor: 3.969

10.  Gene network analysis to determine the effect of hypoxia-associated genes on brain damages and tumorigenesis using an avian model.

Authors:  Hamed Kharrati-Koopaee; Esmaeil Ebrahimie; Mohammad Dadpasand; Ali Niazi; Rugang Tian; Ali Esmailizadeh
Journal:  J Genet Eng Biotechnol       Date:  2021-07-08
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