Anna M. Sozanska

The paper develops a spatial tri-omics workflow to map genetically distinct myeloma subclones in bone marrow, showing they occupy spatially and biologically distinct niches.

This study uses spatial transcriptomic analysis and machine learning to redefine the topology of human bone marrow in health and myeloproliferative neoplasms, revealing new insights into cellular heterogeneity and fibrosis.

SpiderSeqR streamlines access to multi-omic data repositories by integrating GEO and SRA, enabling unified search, annotation conversion, and query management.