<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/GSE297nnn/GSE297388/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Other</omics_type><species>Mus musculus</species><gds_type> Expression profiling by high throughput sequencing</gds_type><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE297388</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Spatial transcriptomics and scRNA-sequencing on gastrocnemius muscle form B6-mdx and D2-mdx mice</name><description>We investigated the cell-type composition of muscle domains that associate with muscle degeneration severity in two mouse models of human DMD, namely the B6.mdx and D2.mdx. We first combined immunofluorescence-based histological analysis and spatial transcriptomics to highlight specific muscle tissue clusters that display dystrophic features with necrotic fibers, inflammatory cell infiltration and increased fibrosis. Using single-cell RNA-sequencing reference and spatial deconvolution, we profiled cell types and states within each dystrophic domain, thereby identifying the enrichment for specific cell subpopulations in these spatial clusters.</description><dates><publication>2026/07/01</publication></dates><accession>GSE297388</accession><cross_references><GSM>GSM8989880</GSM><GSM>GSM8989882</GSM><GSM>GSM8989881</GSM><GSM>GSM8989875</GSM><GSM>GSM8989877</GSM><GSM>GSM8989876</GSM><GSM>GSM8989879</GSM><GSM>GSM8989878</GSM><GPL>17021</GPL><GSE>297388</GSE><taxon>Mus musculus</taxon><PMID>[42067923]</PMID></cross_references></HashMap>