Viral manipulation of functionally distinct interneurons in mice, non-human primates and humans.
Douglas Vormstein-SchneiderJessica D LinKenneth A PelkeyRamesh ChittajalluBaolin GuoMario A Arias-GarciaKathryn AllawaySofia SakopoulosGates SchneiderOlivia StevensonJosselyn VergaraJitendra SharmaQiangge ZhangTom P FrankenJared B SmithLeena Ali IbrahimKevin J M AstroEhsan SabriShuhan HuangEmilia FavuzziTimothy BurbridgeQing XuLihua GuoIan VogelVanessa SanchezGiuseppe A SaldiBram L GorissenXiaoqing YuanKareem A ZaghloulOrrin DevinskyBernardo L SabatiniRenata Batista-BritoJohn ReynoldsGuoping FengZhanyan FuChris J McBainGord FishellJordane DimidschsteinPublished in: Nature neuroscience (2020)
Recent success in identifying gene-regulatory elements in the context of recombinant adeno-associated virus vectors has enabled cell-type-restricted gene expression. However, within the cerebral cortex these tools are largely limited to broad classes of neurons. To overcome this limitation, we developed a strategy that led to the identification of multiple new enhancers to target functionally distinct neuronal subtypes. By investigating the regulatory landscape of the disease gene Scn1a, we discovered enhancers selective for parvalbumin (PV) and vasoactive intestinal peptide-expressing interneurons. Demonstrating the functional utility of these elements, we show that the PV-specific enhancer allowed for the selective targeting and manipulation of these neurons across vertebrate species, including humans. Finally, we demonstrate that our selection method is generalizable and characterizes additional PV-specific enhancers with exquisite specificity within distinct brain regions. Altogether, these viral tools can be used for cell-type-specific circuit manipulation and hold considerable promise for use in therapeutic interventions.
Keyphrases
- gene expression
- sars cov
- spinal cord
- endothelial cells
- cerebral ischemia
- transcription factor
- genome wide
- functional connectivity
- resting state
- machine learning
- gene therapy
- single cell
- adipose tissue
- type diabetes
- binding protein
- artificial intelligence
- blood brain barrier
- skeletal muscle
- high fat diet induced
- insulin resistance
- genome wide identification
- genome wide analysis