Combining Computational Prediction of Cis-Regulatory Elements with a New Enhancer Assay to Efficiently Label Neuronal Structures in the Medaka Fish
2011

Labeling Neuronal Structures in Medaka Fish

Sample size: 20 publication 10 minutes Evidence: high

Author Information

Author(s): Mongin Emmanuel, Auer Thomas O., Bourrat Franck, Gruhl Franziska, Dewar Ken, Blanchette Mathieu, Wittbrodt Joachim, Ettwiller Laurence

Primary Institution: McGill Centre for Bioinformatics, McGill University, Montréal, Canada

Hypothesis

Can a new pipeline efficiently generate stable lines expressing reporter genes in neuronal structures of medaka fish?

Conclusion

The study successfully developed a pipeline that generates stable transgenic lines expressing reporter genes in various neuronal structures in medaka fish.

Supporting Evidence

  • 95% of the tested CRMs showed enhancer activity in various neuronal structures.
  • The pipeline allows for rapid generation of stable transgenic lines.
  • All major subdivisions of the medaka CNS were covered by at least one expression pattern.
  • Stable lines expressing reporter genes provide a resource for functional analysis of brain structures.

Takeaway

The researchers created a new method to label brain cells in fish, which helps us understand how the brain develops.

Methodology

The study combined computational predictions of cis-regulatory modules with an experimental enhancer assay to generate stable transgenic lines.

Limitations

The study primarily focused on medaka fish, which may limit the generalizability of the findings to other species.

Statistical Information

P-Value

p<0.01

Statistical Significance

p<0.01

Digital Object Identifier (DOI)

10.1371/journal.pone.0019747

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