← BioTransfer GEO Dataset Finder
GEO series

2P-NucTag: on-demand phototagging for molecular analysis of functionally identified cortical neurons [day 0 vs recurring place cells]

GSE322993 Mus musculus Expression profiling by high throughput sequencing 8 samples Submitted 2026/03/22 Platform GPL30172
Summary
Neural circuits are characterized by genetically and functionally diverse cell types. A mechanistic understanding of circuit function is predicated on linking the genetic and physiological properties of individual neurons. However, it remains highly challenging to map the molecular properties onto functionally heterogeneous neuronal subtypes in mammalian cortical circuits in vivo. Here, we introduce a high-throughput two-photon nuclear phototagging (2P-NucTag) approach for on-demand and indelible labeling of single neurons via a photoactivatable red fluorescent protein following in vivo functional characterization in behaving mice. Using this optimized function-forward pipeline to selectively label and transcriptionally profile previously inaccessible ‘place’ and ‘silent’ cells in the hippocampus of behaving mice, we identify unexpected differences in gene expression between these hippocampal pyramidal neurons with distinct spatial coding properties. Furthermore, we demonstrate multiple downstream experimental directions that 2P-NucTag enables including ex vivo slice electrophysiology and histology. Thus, 2P-NucTag opens a new way to uncover the molecular principles that govern the functional organization of neural circuits.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE322993_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 8 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1432040 and SRA study SRP680971. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 8 more — browse all 8 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.