Transcriptomic correlates of electrophysiological and morphological diversity within and across excitatory and inhibitory neuron classes.

ABSTRACT: In order to further our understanding of how gene expression contributes to key functional properties of neurons, we combined publicly accessible gene expression, electrophysiology, and morphology measurements to identify cross-cell type correlations between these data modalities. Building on our previous work using a similar approach, we distinguished between correlations which were "class-driven," meaning those that could be explained by differences between excitatory and inhibitory cell classes, and those that reflected graded phenotypic differences within classes. Taking cell class identity into account increased the degree to which our results replicated in an independent dataset as well as their correspondence with known modes of ion channel function based on the literature. We also

SUBMITTER: Bomkamp C 

PROVIDER: S-EPMC6599125 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature