<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/GSE324nnn/GSE324753/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Other</omics_type><species>Mus musculus</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE324753</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Highly sensitive, sub-micron spatial host-microbiome transcriptomics in FFPE tissues via iterative hydrogel expansion</name><description>Spatial transcriptomics (ST) of clinical formalin-fixed paraffin-embedded (FFPE) tissues is fundamentally limited by a trade-off between spatial resolution and transcriptomic sensitivity due to severe molecular crowding and RNA degradation. Here, Ex-spRandom is presented, a highly sensitive platform that integrates random-primed in situ cDNA synthesis with an interpenetrating polymer network (IPN)-based tissue expansion protocol. This physicochemical synergy physically decrowds the dense FFPE matrix, directly converting fragmented host and microbial RNAs into stably anchored cDNA. Consequently, Ex-spRandom translates macro-scale arrays into a sub-micron effective resolution of ~0.9 µm while achieving an unprecedented transcriptomic sensitivity exceeding 40,000 unique genes per sample. This platform successfully rescues non-coding regulatory transcripts and unmasks continuous neurodevelopmental trajectories in the dense embryonic eye. Furthermore, it enables the simultaneous, high-fidelity spatial mapping of host epithelial architectures alongside localized resident microbiomes in the colon. By breaking the resolution-sensitivity barrier without aggressive proteolysis, Ex-spRandom establishes a highly scalable framework for deciphering complex structural and functional microenvironments across vast archival clinical cohorts.</description><dates><publication>2026/08/26</publication></dates><accession>GSE324753</accession><cross_references><GSM>GSM9584942</GSM><GSM>GSM9584943</GSM><GSM>GSM9584940</GSM><GSM>GSM9584941</GSM><GSM>GSM9584946</GSM><GSM>GSM9584944</GSM><GSM>GSM9584945</GSM><GSM>GSM9584939</GSM><GSM>GSM9584938</GSM><GPL>24247</GPL><GSE>324753</GSE><taxon>Mus musculus</taxon><PMID>[42605963]</PMID></cross_references></HashMap>