<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Zhang P</submitter><funding>NICHD NIH HHS</funding><funding>NHLBI NIH HHS</funding><pubmed_abstract>The mature mammalian lung contains ~50 different cell types that are located in precise positions along and around the airway epithelial tree. Here, we investigated how these spatial patterns are progressively established during development. Specifically, we optimized a microfluidics-enabled, deterministic barcoding-based sequencing (DBiT-seq) workflow to achieve highly sensitive spatial mapping of tissue sections from early embryonic mouse lungs. Spatial mapping of epithelial populations revealed that &lt;i>Sox9&lt;/i> &lt;sup>+&lt;/sup> epithelial progenitors are located throughout the epithelial tree at early stages before becoming confined to the distal ends. Spatial mapping of mesenchymal populations revealed a previously unrecognized mesenchymal cluster that expresses high levels of extracellular matrix proteins and appears to promote embryonic lung innervation. These findings provide new insights into the spatial organization and cellular dynamics underlying early lung development, and demonstrate the power of spatial transcriptomics to uncover hidden patterns and populations of cells.</pubmed_abstract><journal>bioRxiv : the preprint server for biology</journal><pagination>2025.11.22.688293</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12697356</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Mapping embryonic mouse lung development using enhanced spatial transcriptomics.</pubmed_title><pmcid>PMC12697356</pmcid><funding_grant_id>R01 HD099030</funding_grant_id><funding_grant_id>DP1 HD111539</funding_grant_id><funding_grant_id>R01 HL164861</funding_grant_id><funding_grant_id>DP2 HD111537</funding_grant_id><pubmed_authors>Nelson CM</pubmed_authors><pubmed_authors>Goodwin K</pubmed_authors><pubmed_authors>Law BK</pubmed_authors><pubmed_authors>Chan MM</pubmed_authors><pubmed_authors>Zhang P</pubmed_authors></additional><is_claimable>false</is_claimable><name>Mapping embryonic mouse lung development using enhanced spatial transcriptomics.</name><description>The mature mammalian lung contains ~50 different cell types that are located in precise positions along and around the airway epithelial tree. Here, we investigated how these spatial patterns are progressively established during development. Specifically, we optimized a microfluidics-enabled, deterministic barcoding-based sequencing (DBiT-seq) workflow to achieve highly sensitive spatial mapping of tissue sections from early embryonic mouse lungs. Spatial mapping of epithelial populations revealed that &lt;i>Sox9&lt;/i> &lt;sup>+&lt;/sup> epithelial progenitors are located throughout the epithelial tree at early stages before becoming confined to the distal ends. Spatial mapping of mesenchymal populations revealed a previously unrecognized mesenchymal cluster that expresses high levels of extracellular matrix proteins and appears to promote embryonic lung innervation. These findings provide new insights into the spatial organization and cellular dynamics underlying early lung development, and demonstrate the power of spatial transcriptomics to uncover hidden patterns and populations of cells.</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Nov</publication><modification>2026-06-04T03:21:28.732Z</modification><creation>2026-06-04T03:12:45.094Z</creation></dates><accession>S-EPMC12697356</accession><cross_references><pubmed>41394655</pubmed><doi>10.1101/2025.11.22.688293</doi></cross_references></HashMap>