Transcriptome tomography for brain analysis in the web-accessible anatomical space.

Area of Science:

• Genomics
• Neuroscience
• Bioinformatics

Background:

• Understanding gene expression-anatomy associations is vital for deciphering complex mammalian genome functions.
• Current methods lack comprehensive 3D mapping capabilities for endogenous gene expression.

Purpose of the Study:

• To introduce Transcriptome Tomography, a novel technique for comprehensive 3D mapping of gene expression.
• To create a web-accessible standard space for gene expression data.

Main Methods:

• Conjugation of sequential tissue-block sectioning with block-face imaging for 3D reconstruction.
• Serial sectioning in three orthogonal planes and tomographic mapping of gene expression densities.
• Generation of 36,000 whole mouse brain expression maps from microarray data of 61 fractions.

Main Results:

• Successfully generated a comprehensive 3D gene expression dataset for the entire mouse brain (ViBrism).
• Validated mapping accuracy against existing data for expression location and density.
• Demonstrated disease-related gene expression patterns for Huntington's disease and Bdnf.

Conclusions:

• Transcriptome Tomography provides a rapid, unbiased method for creating 3D gene expression maps.
• The technique is applicable to various biological molecules and sample types (tissues, organs, embryos).
• This framework facilitates research using open standards for molecular-based structural understanding and biological/medical insights.