A Transcriptomic Atlas of Mouse Neocortical Layers
2011

Transcriptomic Atlas of Mouse Neocortical Layers

Sample size: 8 publication 10 minutes Evidence: high

Author Information

Author(s): Belgard T. Grant, Marques Ana C., Oliver Peter L., Abaan Hatice Ozel, Sirey Tamara M., Hoerder-Suabedissen Anna, García-Moreno Fernando, Molnár Zoltán, Margulies Elliott H., P. Ponting Chris

Primary Institution: MRC Functional Genomics Unit, University of Oxford

Hypothesis

Understanding the transcriptional levels and functional repertoires of coding and noncoding loci for cells constituting the neocortical layers.

Conclusion

The study provides a comprehensive genome-wide view of transcription across mouse neocortical layers, revealing significant patterns of gene expression and associations with diseases.

Supporting Evidence

  • 5,835 protein-coding genes and 66 noncoding RNA loci are differentially expressed across the layers.
  • Significant associations between disease genes and specific layers were replicated.
  • Widespread isoform switching was observed across layers.
  • Patterned lincRNAs were found to be conserved and coexpressed with neighboring protein-coding genes.

Takeaway

Scientists looked at the genes in different layers of mouse brains to see how they work and found many that are important for brain functions.

Methodology

Transcriptomes from layers 1-6b of the adult mouse somatosensory cortex were sequenced using a machine-learning model to analyze gene expression.

Potential Biases

Potential biases due to the subjective nature of layer identification and the limitations of the dissection method.

Limitations

Dissection limitations and overlapping cell layers may affect the accuracy of layer-specific expression predictions.

Participant Demographics

Eight male, 56-day-old C57BL/6J mice were used in the study.

Statistical Information

P-Value

p<2×10−16

Statistical Significance

p<0.0001

Digital Object Identifier (DOI)

10.1016/j.neuron.2011.06.039

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication