Dataset Information

Machine learning sequence prioritization for cell type-specific enhancer design

ABSTRACT: Recent discoveries of extreme cellular diversity in the brain warrant rapid development of technologies to access specific cell populations, enabling characterization of their roles in behavior and in disease states. Available approaches for engineering targeted technologies for new neuron subtypes are low-yield, involving intensive transgenic strain or virus screening. Here, we introduce SNAIL (Specific Nuclear-Anchored Independent Labeling), a new virus-based strategy for cell labeling and nuclear isolation from heterogeneous tissue. SNAIL works by leveraging machine learning and other computational approaches to identify DNA sequence features that confer cell type-specific gene activation and using them to make a probe that drives an affinity purification-compatible reporter gene. As a proof of concept, we designed and validated two novel SNAIL probes that target parvalbumin-expressing (PV) neurons. Furthermore, we show that nuclear isolation using SNAIL in wild type mice is sufficient to capture characteristic open chromatin features of PV neurons in the cortex, striatum, and external globus pallidus. Expansion of this technology has broad applications in cell type-specific observation, manipulation, and therapeutics across species and disease models.

ORGANISM(S): Mus musculus

PROVIDER: GSE171549 | GEO | 2021/06/01

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Molecular basis of transition to addiction in vulnerable individuals is largely unknown. We hypothesized that human susceptibility genes can be identified on the basis of conserved molecular mechanisms in rodent brains. We used a short-term cocaine-dependent conditioned place preference (CPP) to identify genetic hallmarks of early steps of reward memory in basal ganglia including accumbens nucleus (NAc), globus pallidus (GP) and subthalamic nucleus (STN). Using genome-wide microarray analysis and CPP as a quantitative trait, we found that synaptic plasticity-related genes are deregulated in these three structures. A significant enrichment in bona fide transcripts involved in dendritic spine local translation was evidenced. mGluR5 is transcriptionally deregulated in Acc and GP of cocaine-treated animals. Grin3a that encodes a NMDA receptor subunit involved in Ca++ permeability is deregulated in NAc. Furthermore, Orexin/Hcrt transcript level is decreased in STN, a region known to be involved in discriminating addictive drugs and natural rewards. We also found that mGluR5 and Grin3a expression deregulation is sufficient to induce changes in synaptic plasticity-related genes. Altogether, these results suggest that a combined deregulation of mGluR5 and Grin3A pathway in NAc, mGluR5 in GP and orexin system in STN may generate an incentive memory contrasted between addictive drugs and natural rewards. Such pathways may include clusters of genes that are potential susceptibility genes for transition to addiction. Agilent Whole Mouse Genome oligomicroarrays (GEO accession no. GPL4134, Agilent Technologies, Palo Alto, CA) were used. They contain 60-mer DNA probes synthesized in situ in a 44k format. Four independent (globus pallidus from mouse treated with cocaine and having a high score of conditioned place preference compared to globus pallidus from mouse treated with saline solution) measurements were carried out for each group of biological conditions using exchanged dye-labeled RNA targets (i.e., Cy3 and Cy5 dyeswapping experiments).

Project description:Molecular basis of transition to addiction in vulnerable individuals is largely unknown. We hypothesized that human susceptibility genes can be identified on the basis of conserved molecular mechanisms in rodent brains. We used a short-term cocaine-dependent conditioned place preference (CPP) to identify genetic hallmarks of early steps of reward memory in basal ganglia including accumbens nucleus (NAc), globus pallidus (GP) and subthalamic nucleus (STN). Using genome-wide microarray analysis and CPP as a quantitative trait, we found that synaptic plasticity-related genes are deregulated in these three structures. A significant enrichment in bona fide transcripts involved in dendritic spine local translation was evidenced. mGluR5 is transcriptionally deregulated in Acc and GP of cocaine-treated animals. Grin3a that encodes a NMDA receptor subunit involved in Ca++ permeability is deregulated in NAc. Furthermore, Orexin/Hcrt transcript level is decreased in STN, a region known to be involved in discriminating addictive drugs and natural rewards. We also found that mGluR5 and Grin3a expression deregulation is sufficient to induce changes in synaptic plasticity-related genes. Altogether, these results suggest that a combined deregulation of mGluR5 and Grin3A pathway in NAc, mGluR5 in GP and orexin system in STN may generate an incentive memory contrasted between addictive drugs and natural rewards. Such pathways may include clusters of genes that are potential susceptibility genes for transition to addiction. Agilent Whole Mouse Genome oligomicroarrays (GEO accession no. GPL4134, Agilent Technologies, Palo Alto, CA) were used. They contain 60-mer DNA probes synthesized in situ in a 44k format. Four independent (globus pallidus from mouse treated with cocaine and having a low score of conditioned place preference compared to globus pallidus from mouse treated with saline solution) hybridizations were carried out for each group of biological conditions using exchanged dye-labeled RNA targets (i.e., Cy3 and Cy5 dyeswapping experiments).

Dataset Information

Machine learning sequence prioritization for cell type-specific enhancer design

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets