Data from: Spatial transcriptomics for profiling the tropism of viral vectors in tissues

[ DOI: https://doi.org/10.35077/g.529 ]

 

Dataset Citation:

Jang, Min Jee, Gradinaru Lab. (2023). Data from: Spatial transcriptomics for profiling the tropism of viral vectors in tissues. [ Collection / Dataset ]. Brain Image Library. https://doi.org/10.35077/g.529

 

Abstract:

This collection of datasets includes part of the mouse cortex showing single molecule RNA transcripts of endogenous cell marker genes and systemically-delivered AAV transcripts, various regions of mouse brain (cortex, striatum, thalamus, cerebellum) showing single molecule RNA transcripts of endogenous cell marker genes and systemically-delivered AAV transcripts, and part of mouse cortex showing single molecule RNA transcripts of endogenous cell marker genes and systemically-delivered AAV transcripts regulated by miRNA target sites inserted in the viral genome. This allows us to quantify the tropism profiles of AAVs across genetically defined cell types.

 

Funding:

National Institutes of Health 5-DP1-NS111369-04 Circuit-Specific Delivery of Large Cargo Across the Nervous Systems of Adult Mammals and Embryos via Novel Engineered Systemic Vectors;
National Institutes of Health 1-UF1-MH128336-01 Engineered AAV Identification, Validation, and Dissemination Pipeline for Brain Cell Type-Specific Manipulation Across Species;
Brain Behavior Research Foundation "28097" NARSAD Young Investigator Grant;
California Institute of Technology "NA" Biology and Biological Engineering Divisional Postdoctoral Fellowship;
Natural Sciences and Engineering Research Council of Canada "NA" "NA";
California Institute of Technology "NA" Biology and Biological Engineering Divisional Diversity Fellowship;
California Institute of Technology "NA" Schmidt Academy for Software Engineering

 

Contributors:

Jang, Min Jee (ContactPerson) [ORCID: https://orcid.org/0000-0002-1536-7177 ] California Institute of Technology
Gradinaru Lab (ResearchGroup) California Institute of Technology

 

Related Identifiers:

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