Brain Imaging Transcriptomics Flashcards
Define
Imaging transcriptomics
Mapping brain imaging phenotypes to spatial variation in gene expression
Correlating what we see in brain images with the underlying molecular activities at the gene expression level.
Explain
Spatial variation in disease vulnerability
- Brain diseases target specific areas of the brain
- The sequence in which areas are affected determines the clinical expression of the disease
Define
MRI
- Magnetic Resonance Imaging
- Radiofrequency pulses are applied to measure contrasts between tissue types
Define
PET
- Positron Emission Tomography
- Radioactively labeled ligands (tracers) are injected and used to estimate binding to different molecules (glucose, receptors, etc…)
Define
MEG
- Magnetoencephalography
- Magnetic fields generated by ionic currents in the brain are measured at the surface and used to infer neural activity
How was the AHBA created?
- Six post-mortem brains (ages 24-57)
- Whole brain microarray
- Over 20,000 genes from 3,702 tissue samples
- 3D MRI coordinates for all probes
What were the initial findings after studying genomic patterning in the brain?
- High spatial variation (follows distribution of specialized cell types)
- Proximal probes have similar transcriptomic profiles (high spatial autocorrelation, neighboring regions exhibit similar gene expression patterns)
- Conserved across individuals
What are the questions to be asked when studying
Regional expression
How do genes co-vary with brain phenotypes, e.g. disease atrophy, task activation, myelination, synapse density, metabolism, etc.?
What are the questions to be asked when studying
Correlated gene expression
Are areas with similar transcriptomic profiles more likely to be physically connected and to communicate with each other?
What are the questions to be asked when studying
Gene coexpression
Are genes with similar spatial distributions involved in similar functions?
Define
Abagen
- Python toolbox for downloading and pre-processing the AHBA
- Works w/ volumetric and surface analysis
How are parameters ranked by importance?
- Normalization parameters
- Parameters related to how tissue samples are matched to brain regions
- Parameters related to probe selection
Define
Differential stability
- Differential stability is a correlation-based metric, used to assess the reproducibility of gene expression patterns.
- A gene with a higher DS (differential stability score) will tend to exhibit the same or similar differential expression relationships across brain structures.