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Sci Data. 2016 Dec 20;3:160117. doi: 10.1038/sdata.2016.117.

RNA sequencing analysis of the developing chicken retina.

Scientific data

Christophe J Langouet-Astrie, Annamarie L Meinsen, Emily R Grunwald, Stephen D Turner, Raymond A Enke

Affiliations

  1. Department of Biology, James Madison University, Harrisonburg, Virginia 22807, USA.
  2. Department of Public Health Sciences University of Virginia, Charlottesville, Virginia 22908, USA.
  3. Center for Genome &Metagenome Studies, James Madison University, Harrisonburg, Virginia 22807, USA.

PMID: 27996968 PMCID: PMC5170595 DOI: 10.1038/sdata.2016.117

Abstract

RNA sequencing transcriptome analysis using massively parallel next generation sequencing technology provides the capability to understand global changes in gene expression throughout a range of tissue samples. Development of the vertebrate retina requires complex temporal orchestration of transcriptional activation and repression. The chicken embryo (Gallus gallus) is a classic model system for studying developmental biology and retinogenesis. Existing retinal transcriptome projects have been critical to the vision research community for studying aspects of murine and human retinogenesis, however, there are currently no publicly available data sets describing the developing chicken retinal transcriptome. Here we used Illumina RNA sequencing (RNA-seq) analysis to characterize the mRNA transcriptome of the developing chicken retina in an effort to identify genes critical for retinal development in this important model organism. These data will be valuable to the vision research community for characterizing global changes in gene expression between ocular tissues and critical developmental time points during retinogenesis in the chicken retina.

Conflict of interest statement

The authors declare no competing financial interests.

References

  1. Nat Protoc. 2016 Sep;11(9):1650-67 - PubMed
  2. Bioinformatics. 2014 Apr 1;30(7):923-30 - PubMed
  3. Nat Biotechnol. 2013 Jan;31(1):46-53 - PubMed
  4. Cell. 2013 Sep 26;155(1):27-38 - PubMed
  5. J Comp Neurol. 2015 Mar 1;523(4):649-68 - PubMed
  6. BMC Dev Biol. 2010 Jan 20;10:8 - PubMed
  7. Bioinformatics. 2010 Jan 1;26(1):139-40 - PubMed
  8. Genome Res. 2002 Jun;12(6):996-1006 - PubMed
  9. Nat Biotechnol. 2011 Jan;29(1):24-6 - PubMed
  10. Neural Dev. 2012 Jun 27;7:22 - PubMed
  11. Brief Bioinform. 2013 Mar;14(2):178-92 - PubMed
  12. Genome Biol. 2014;15(12):550 - PubMed
  13. Nat Biotechnol. 2016 May;34(5):525-7 - PubMed
  14. Nucleic Acids Res. 2014 Jan;42(Database issue):D749-55 - PubMed
  15. F1000Res. 2015 Dec 30;4:1521 - PubMed
  16. Nat Biotechnol. 2014 May;32(5):462-4 - PubMed
  17. Genome Biol. 2010;11(10):R106 - PubMed
  18. Dev Dyn. 1992 Dec;195(4):231-72 - PubMed
  19. Bioinformatics. 2013 Jan 1;29(1):15-21 - PubMed
  20. Genome Biol. 2016 Jan 26;17:13 - PubMed
  21. Nat Rev Neurosci. 2007 Dec;8(12):960-76 - PubMed

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