Transcriptomics predicts activity


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Access through your institution Buy or subscribe _Nature_ 607, 330–338 (2022) Cortical inhibitory interneurons comprise many molecularly distinct subtypes. To assess whether these subtypes


show distinct activity patterns, Bugeon, Harris and colleagues recorded calcium responses to various visual stimuli in V1 of mice running on a ball, followed by in situ transcriptomics for a


set of signature genes. On the basis of the transcriptomic data, the authors classified inhibitory interneurons into five subclasses, 11 types and 35 subtypes. UMAP analysis showed that


cell clusters could be associated with morphological cell types and gene expression changes within a continuum. Subclasses, but not types or subtypes, showed distinct in vivo responses to


visual stimuli, while the activity patterns underlying different cortical states differed between transcriptionally defined interneurons down to the subtype level. Using the in situ


transcriptomic data of the selected signature genes as a single principal component could predict 70% of the variance in state modulation of interneuron subtypes. The latter also correlated


with differential expression of cholinergic receptor subtypes. In summary, the authors showed that a single transcriptomic principal component explains interneuron subtype activity in


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Neuroscience https://www.nature.com/neuro/ Elisa Floriddia Authors * Elisa Floriddia View author publications You can also search for this author inPubMed Google Scholar CORRESPONDING AUTHOR


Correspondence to Elisa Floriddia. RIGHTS AND PERMISSIONS Reprints and permissions ABOUT THIS ARTICLE CITE THIS ARTICLE Floriddia, E. Transcriptomics predicts activity. _Nat Neurosci_ 25,


977 (2022). https://doi.org/10.1038/s41593-022-01144-z Download citation * Published: 01 August 2022 * Issue Date: August 2022 * DOI: https://doi.org/10.1038/s41593-022-01144-z SHARE THIS


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