{"database":"GEO","file_versions":[{"headers":{"Content-Type":["application/json"]},"body":{"files":{"Other":["ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE284nnn/GSE284032/"]},"type":"primary"},"statusCodeValue":200,"statusCode":"OK"}],"scores":null,"additional":{"omics_type":["Other"],"species":["Mus musculus"],"gds_type":["Other"],"full_dataset_link":["https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE284032"],"repository":["GEO"],"entry_type":["GSE"],"additional_accession":[]},"is_claimable":false,"name":"Integration and annotation of spatial multi-omic data with DIRAC highlights spatial organization of lymphoid organs","description":"Spatial multi-omics technologies enable simultaneous measurements of multiple omics modalities. Integration across spatial omics modalities followed by multi-omic spatial domain and cell-type annotation are two fundamental tasks for downstream analysis. We present Domain Invariant Representation through Adversarial Calibration (DIRAC), a geometric deep learning model that unifies both tasks by treating horizontal integration (different cells/spots, same omic modality) and vertical integration (same cells/spots, different omics modalities) under a generalized domain adaptation framework. DIRAC uses an adversarial domain discriminator to integrate multiple spatial omics modalities into a unified domain-invariant embedding space and to automate cell-type annotation by transferring labels from reference multi-omic data. DIRAC delineated more biologically meaningful spatial domains and improved clustering and cell-type annotation performance across omics modalities (histone marks, chromatin accessibility, RNA, and protein) and technology platforms (sequencing and imaging-based). We used DIRAC to build cellularly resolved spatial multi-omics atlases of mouse spleen and thymus, revealing the spatial migratory patterns of T cells in the thymus and the spatial organization of finely-resolved immune cell types in the spleen. DIRAC is substantially faster than existing multi-omic integration methods and scales to millions of cells.","dates":{"publication":"2026/07/01"},"accession":"GSE284032","cross_references":{"GSM":["GSM8740089","GSM8740090","GSM8676454","GSM8676453"],"GPL":["28330","28457"],"GSE":["284032"],"taxon":["Mus musculus"]}}