Back

Single Cell Resolution Spatial Mapping Of Human Hematopoiesis Reveals Aging-Associated Topographic Remodeling

Sarachakov, A.; Svekolkin, V.; Varlamova, A.; Galkin, I.; Valencia, I.; Unkenholz, C.; Pannellini, T.; Akaeva, A.; Smirnova, S.; Ovcharov, P.; Polyakova, M.; Tabakov, D.; Postovalova, E.; Sethi, I.; Shin, N.; Bagaev, A.; Itkin, T.; Crane, G.; Kluk, M. J.; Geyer, J.; Inghirami, G.; Patel, S.

2023-04-30 systems biology
10.1101/2023.04.28.538715 bioRxiv
Show abstract

The spatial anatomy of hematopoiesis in bone marrow has been extensively studied in mice and other preclinical models, but technical challenges have precluded a commensurate exploration in humans. Institutional pathology archives contain thousands of paraffinized bone marrow core biopsy tissue specimens, providing a rich resource for studying the intact human bone marrow topography in a variety of physiologic states. Thus, we developed an end-to-end pipeline involving multiparameter whole tissue staining, in situ imaging at single-cell resolution, and artificial intelligence (AI)-based digital image analysis, and then applied it to a cohort of disease-free samples to survey alterations in the hematopoietic topography associated with aging. Our data indicate heterogeneity in marrow adipose tissue (MAT) content within each age group, and an inverse correlation between MAT content and proportions of early myeloid and erythroid precursors, irrespective of age. We identify consistent endosteal and perivascular positioning of hematopoietic stem and progenitor cells (HSPCs) with medullary localization of more differentiated elements and, importantly, uncover new evidence of aging-associated changes in cellular and vascular morphologies, microarchitectural alterations suggestive of inflammaging, and diminution of a potentially active megakaryocytic niche. Overall, our findings suggest that there is topographic remodeling of human hematopoiesis associated with aging. More generally, we demonstrate the potential to deeply unravel the spatial biology of normal and pathologic human bone marrow states using intact archival tissue specimens.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.