MAY 13, 2015 12:00 PM PDT

What can we learn from large gene expression data sets?

Speaker

Abstract

The Allen Institute for Brain Science provides several brain atlases that are freely available to the public at www.brain-map.org. A common use for these atlases is to study expression patterns for specific genes of interest in the developing or adult mouse, rhesus monkey, or human brain. In addition, we and others have performed transcriptome-wide analyses on these data to address particular questions of brain development and anatomy. Here, I will describe a few of the Allen Brain Atlases and then present three short vignettes. First, we find that most genes with consistent expression patterns between adult human brains are involved in brain function and dysfunction. Second, we find that, while most genes show consistent expression patterns between species, many differences exist, which could potentially provide insight into the efficacy of some mouse models of disease. Finally, we show how gene expression patterns in different layers of cortex can change dramatically with age while retaining discrete laminar identities, suggesting that it is important both ‘where' in the brain you look as well as ‘when'. Learning objectives: 1. Provide examples for how the Allen Brain Atlases can be applied to study brain development and disease using whole-transcriptome data. 2. Describe how complex data sets can provide both unique analytical challenges as well as novel biological insights.


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MAY 13, 2015 12:00 PM PDT

What can we learn from large gene expression data sets?


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