dc.contributor.author
Mertens, Till Fabian
dc.contributor.author
Liebheit, Alina Tabea
dc.contributor.author
Ehl, Johanna
dc.contributor.author
Köhler, Ralf
dc.contributor.author
Rakhymzhan, Asylkhan
dc.contributor.author
Woehler, Andrew
dc.contributor.author
Katthän, Lukas
dc.contributor.author
Ebel, Gernot
dc.contributor.author
Liublin, Wjatscheslaw
dc.contributor.author
Kasapi, Ana
dc.contributor.author
Triantafyllopoulou, Antigoni
dc.contributor.author
Schulz, Tim Julius
dc.contributor.author
Niesner, Raluca Aura
dc.contributor.author
Hauser, Anja Erika
dc.date.accessioned
2025-01-28T13:05:31Z
dc.date.available
2025-01-28T13:05:31Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46397
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46110
dc.description.abstract
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.
en
dc.format.extent
19 Seiten
dc.rights
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Imaging the immune system
en
dc.subject
Osteoimmunology
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
MarShie: a clearing protocol for 3D analysis of single cells throughout the bone marrow at subcellular resolution
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-01-27T11:36:13Z
dcterms.bibliographicCitation.articlenumber
1764
dcterms.bibliographicCitation.doi
10.1038/s41467-024-45827-6
dcterms.bibliographicCitation.journaltitle
Nature Communications
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.volume
15
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s41467-024-45827-6
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Chemie und Biochemie

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2041-1723
refubium.resourceType.provider
DeepGreen