During the first two years, three major achievements were realized:
1. Generation of a single-cell and spatial reference atlas of healthy pediatric donor bone marrow.
Using single-cell multiomics on residual bone marrow cells of pediatric HCT donos, we generated a high-resolution atlas of healthy pediatric bone marrow. This atlas encompasses single-cell transcriptomics, surface proteomics, and spatial transcriptomics across developmental stages from early childhood to young adulthood.We demonstrate that young pediatric BM is distinct from bone marrow of adolescents and young adults, in terms of cellular composition, molecular cell states and lineage fate decisions, indicating that age-matched references are crucial to distinguish age- from disease associated differences. In ongoing research, this atlas forms an essential baseline for interpreting post-transplant regeneration data, and supporting Objectives 1 and 3. In addition (beyond this ERC-work), the dataset provides a useful reference for studies on (pediatric) hematologic, oncologic and immunologic research.
2. Optimization of technologies to characterize bone marrow mesenchymal stromal cells and the niche.
Given the technical challenges of recovering mesenchymal stromal cells (MSCs) from cryopreserved aspirates, enrichment strategies were systematically evaluated and optimized, revealing pre-analytical losses as a major limiting factor. To enable robust niche characterization, we optimized and implemented spatial transcriptomics of bone marrow biopsies, yielding several-fold more niche cells (including populations not captured in aspirates), while preserving tissue architecture. High-quality transcriptional profiles of MSC subsets were generated, and analyses of post-transplant biopsies are ongoing. Integration of single-cell multiomic and spatial data will allow systematic assessment of transplantation-induced niche alterations and their effects on HSPC regeneration (Objective 2).
3. Establishment of a longitudinal single-cell profiling pipeline for post-transplant regeneration.
A standardized and reproducible workflow was developed for longitudinal single-cell analysis of post-HCT bone marrow samples, including sample processing, library preparation, and computational analysis. Initial datasets from early post-transplant timepoints reveal dynamic changes in HSPC states and immune reconstitution, with persistent alterations in bone marrow composition months after transplantation. These data provide the first patient-derived single-cell view of human hematopoietic regeneration after allo-HCT and establish the foundation for identifying predictive cellular states associated with graft failure or relapse (Objective 3).