A novel model for ectopic, chronic, intravital multiphoton imaging of bone marrow vasculature and architecture in split femurs

一种用于股骨裂骨髓血管和结构异位、慢性、活体多光子成像的新模型

阅读:6
作者:Mirela Bălan, Friedemann Kiefer

Abstract

Creating a model for intravital visualization of femoral bone marrow, a major site of hematopoiesis in adult mammalian organisms, poses a serious challenge, in that it needs to overcome bone opacity and the inaccessibility of marrow. Furthermore, meaningful analysis of bone marrow developmental and differentiation processes requires the repetitive observation of the same site over long periods of time, which we refer to as chronic imaging. To surmount these issues, we developed a chronic intravital imaging model that allows the observation of split femurs, ectopically transplanted into a dorsal skinfold chamber of a host mouse. Repeated, long term observations are facilitated by multiphoton microscopy, an imaging technique that combines superior imaging capacity at greater tissue depth with low phototoxicity. The transplanted, ectopic femur was stabilized by its sterile environment and rapidly connected to the host vasculature, allowing further development and observation of extended processes. After optimizing transplant age and grafting procedure, we observed the development of new woven bone and maturation of secondary ossification centers in the transplanted femurs, preceded by the sprouting of a sinusoidal-like vascular network, which was almost entirely composed of femoral endothelial cells. After two weeks, the transplant was still populated with stromal and haematopoietic cells belonging both to donor and host. Over this time frame, the transplant partially retained myeloid progenitor cells with single and multi-lineage differentiation capacity. In summary, our model allowed repeated intravital imaging of bone marrow angiogenesis and hematopoiesis. It represents a promising starting point for the development of improved chronic optical imaging models for femoral bone marrow.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。