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Nat Commun ; 15(1): 1764, 2024 Feb 26.
Artículo en Inglés | MEDLINE | ID: mdl-38409121

RESUMEN

Analyzing immune cell interactions in the bone marrow is vital for understanding hematopoiesis and bone homeostasis. Three-dimensional analysis of the complete, intact bone marrow within the cortex of whole long bones remains a challenge, especially at subcellular resolution. We present a method that stabilizes the marrow and provides subcellular resolution of fluorescent signals throughout the murine femur, enabling identification and spatial characterization of hematopoietic and stromal cell subsets. By combining a pre-processing algorithm for stripe artifact removal with a machine-learning approach, we demonstrate reliable cell segmentation down to the deepest bone marrow regions. This reveals age-related changes in the marrow. It highlights the interaction between CX3CR1+ cells and the vascular system in homeostasis, in contrast to other myeloid cell types, and reveals their spatial characteristics after injury. The broad applicability of this method will contribute to a better understanding of bone marrow biology.


Asunto(s)
Células de la Médula Ósea , Médula Ósea , Ratones , Animales , Células de la Médula Ósea/metabolismo , Células Madre Hematopoyéticas , Hematopoyesis , Células del Estroma
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