<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/GSE333nnn/GSE333851/</Other></files><type>primary</type></body><statusCode>OK</statusCode><statusCodeValue>200</statusCodeValue></file_versions><scores/><additional><omics_type>Transcriptomics</omics_type><species>Homo sapiens</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=GSE333851</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Spatial Glyco-Codes Define Human Liver Pathology and Progression</name><description>Glycosylation is a relatively underexplored aspect of the central dogma of biology, yet a key determinant of biological function and encodes disease-associated cellular states. However spatial glycomics is limited primarily by workflows that are costly, specialized, or insufficiently informative for conformation-dependent motifs. To address the need for a deep, cost-effective, and portable spatial glycomics technology, we developed spatial-GPT, a multimodal lectin-based platform for the simultaneous profiling of glycans, proteins, and transcripts from same-slide archival FFPE tissues. By combining DBiT-GPT sequencing with CODEX-GP imaging, spatial-GPT provides robust glycan detection in long-stored specimens, cost-effective multiplexing, and ascription of glycan motifs to cellular identity, pathology, and gene-regulatory programs at subcellular spatial resolution. Applied to human liver disease, spatial-GPT resolved glyco-codes of steatosis, fibrosis, cirrhosis, and hepatocellular carcinoma (HCC) subtypes, identified tumor-like glycan remodeling in premalignant regions, revealed conserved HCC-associated glycan programs, and uncovered glycan-defined immune and stromal neighborhoods across tissue microarrays. Spatial-GPT offers a practical extension of pathology, unlocking the glycan dimension on the same tissue section to expose a granularity that may be otherwise obscured by morphology, protein markers, or transcriptomics alone.</description><dates><publication>2026/06/04</publication></dates><accession>GSE333851</accession><cross_references><GSM>GSM9775948</GSM><GSM>GSM9775949</GSM><GSM>GSM9775950</GSM><GSM>GSM9775957</GSM><GSM>GSM9775958</GSM><GSM>GSM9775955</GSM><GSM>GSM9775956</GSM><GSM>GSM9775953</GSM><GSM>GSM9775954</GSM><GSM>GSM9775951</GSM><GSM>GSM9775952</GSM><GSM>GSM9775939</GSM><GSM>GSM9775959</GSM><GSM>GSM9775937</GSM><GSM>GSM9775938</GSM><GSM>GSM9775960</GSM><GSM>GSM9775961</GSM><GSM>GSM9775968</GSM><GSM>GSM9775946</GSM><GSM>GSM9775947</GSM><GSM>GSM9775944</GSM><GSM>GSM9775966</GSM><GSM>GSM9775967</GSM><GSM>GSM9775945</GSM><GSM>GSM9775964</GSM><GSM>GSM9775942</GSM><GSM>GSM9775965</GSM><GSM>GSM9775943</GSM><GSM>GSM9775962</GSM><GSM>GSM9775940</GSM><GSM>GSM9775941</GSM><GSM>GSM9775963</GSM><GPL>24676</GPL><GSE>333851</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>