Spatial Genomic Approaches to Investigate HOX Genes in Mouse Brain Tissues

Area of Science:

• Genomics
• Neuroscience
• Bioinformatics

Background:

• Spatial transcriptomic tools enable gene expression analysis within tissue context.
• Understanding spatial gene patterns is crucial for biological research.
• Curio offers high-throughput, whole-transcriptome spatial gene expression analysis.

Purpose of the Study:

• To present a bioinformatics protocol for whole transcriptome gene expression analysis of mouse brain tissue.
• To demonstrate the application of the Curio tool for spatial transcriptomics.
• To visualize the expression patterns of HOX genes in the mouse brain.

Main Methods:

• Utilizing the Curio platform for spatial transcriptomic data acquisition.
• Applying computational techniques for bioinformatics analysis.
• Focusing on whole transcriptome profiling of mouse brain tissue.

Main Results:

• Successful implementation of a bioinformatics protocol for Curio-based spatial transcriptomics.
• Visualization of spatial expression patterns for multiple HOX genes within the mouse brain.
• Demonstration of high-throughput, comprehensive gene expression analysis.

Conclusions:

• The presented protocol enables efficient spatial gene expression analysis of mouse brain tissue using Curio.
• Spatial transcriptomics with Curio provides valuable insights into gene expression localization.
• This approach is effective for investigating specific gene families, such as HOX genes, in neural tissues.