<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE331nnn/GSE331310/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Mus musculus</species><gds_type> Other</gds_type><gds_type>Expression profiling by high throughput sequencing</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE331310</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Establishment and validation of the NEX-RiboTag system for profiling the excitatory neuronal translatome in the postnatal mouse forebrain</name><description>Excitatory neurons are the principal neurons of the mammalian cortex and hippocampus and are essential for postnatal circuit maturation. Although single-cell RNA sequencing has refined their molecular taxonomy, dissociation-induced stress artifacts and the disconnect between transcript abundance and translational output can limit functional interpretation. Bulk proteomics lacks cell-type specificity, while single-cell proteomics remains constrained by limited sensitivity and throughput. These limitations leave a gap between transcriptional identity and cell-type-resolved translational output. Because translation directly governs the selective recruitment of mRNAs for protein synthesis, defining excitatory neuron-specific translatome in vivo is valuable to bridge this gap. Here, we established and validated a NEX-RiboTag mouse line for targeted profiling of ribosome-associated mRNAs in cortical and hippocampal excitatory neurons. By crossing Neurod6 (NEX)-Cre mice with RiboTag reporter mice, we achieved Cre-dependent ribosomal tagging in excitatory neurons of the cortex and the hippocampus. RNA sequencing analysis at the 1-week postnatal stage demonstrated enrichment of excitatory neuronal markers and depletion of inhibitory neuronal and glial transcripts. Comparative analysis revealed a clear separation between the whole-tissue transcriptome and the ribosome-associated fractions, with enrichment of synaptic and metabolic pathways characteristic of excitatory neurons. Together, these datasets provide a valuable resource for investigating translational regulation in postnatal excitatory neurons and for studying molecular programs underlying neuronal maturation and synapse formation.</description><dates><publication>2026/06/23</publication></dates><accession>GSE331310</accession><cross_references><GSM>GSM9743689</GSM><GSM>GSM9743688</GSM><GSM>GSM9743690</GSM><GSM>GSM9743694</GSM><GSM>GSM9743693</GSM><GSM>GSM9743692</GSM><GSM>GSM9743691</GSM><GSM>GSM9743687</GSM><GSM>GSM9743686</GSM><GSM>GSM9743685</GSM><GSM>GSM9743695</GSM><GPL>34290</GPL><GSE>331310</GSE><taxon>Mus musculus</taxon><PMID>[42324055]</PMID></cross_references></HashMap>