Deep Sequencing of Chicken microRNAs
2008

Deep Sequencing of Chicken microRNAs

Sample size: 256221 publication Evidence: moderate

Author Information

Author(s): Joan Burnside, Ming Ouyang, Amy Anderson, Erin Bernberg, Cheng Lu, Blake C. Meyers, Pamela J. Green, Milos Markis, Grace Isaacs, Emily Huang, Robin W. Morgan

Primary Institution: University of Delaware

Hypothesis

The study aims to identify chicken microRNAs and compare those in infected and uninfected chicken embryo fibroblasts.

Conclusion

Deep sequencing technology is effective for discovering small RNAs and has identified both known and novel chicken microRNAs.

Supporting Evidence

  • The study confirmed the expression of 112 known microRNAs.
  • A total of 63 candidate novel microRNAs were identified.
  • The majority of reads matched known microRNAs, indicating a high level of conservation.

Takeaway

The researchers used a special technique to find tiny RNA molecules in chickens, which help control how genes work. They found many known ones and some new ones.

Methodology

Massively parallel signature sequencing (MPSS) was used to identify small RNAs in chicken embryo fibroblasts infected with Marek's disease virus and uninfected controls.

Limitations

The study may not capture all microRNAs due to the biological noise from low infection rates in the cell cultures.

Digital Object Identifier (DOI)

10.1186/1471-2164-9-185

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