Immune Dynamics, Charité - Universitätsmedizin, Berlin, Germany.
Deutsches Rheumaforschungszentrum, a Leibniz Institute, Berlin, Germany.
Cytometry A. 2018 Jul;93(9):876-888. doi: 10.1002/cyto.a.23526. Epub 2018 Aug 14.
The bone marrow (BM) consists of multiple, structured micro-environmental entities-the so called niches, which contain hematopoietic cells as well as stromal cells. These niches fulfill a variety of functions, such as control of the hematopoietic stem cell pool, differentiation of hematopoietic cells, and maintenance of immunological memory. However, due to the molecular and cellular complexity and a lack of suitable histological multiplexing methods, the composition of the various BM niches is still elusive. In this study, we apply multiepitope-ligand-cartography (MELC) on bone sections from mice. We combine multiplexed immunofluorescence histology data with various object-based segmentation approaches in order to define irregularly shaped, net-like structures of stromal cells. We confirm MELC as a robust histological method and validate our automated segmentation algorithms using flow cytometry and manual evaluation. By means of MELC multiplexing, we reveal heterogeneous expression of leptin receptor (LpR), BP-1, and VCAM-1 in the stromal network. Moreover, we demonstrate by quantification a preferential contact of B cell subsets as well as of plasma cells to processes of CXCL12-expressing stromal cells, compared with stromal somata. In summary, our approach is suitable for spatial analysis of complex tissue structures.
骨髓(BM)由多个结构复杂的微环境实体组成,即所谓的龛,其中包含造血细胞和基质细胞。这些龛位具有多种功能,如控制造血干细胞池、造血细胞分化和维持免疫记忆。然而,由于分子和细胞的复杂性以及缺乏合适的组织学多重标记方法,各种 BM 龛位的组成仍然难以捉摸。在这项研究中,我们在来自小鼠的骨切片上应用多表位配体图谱(MELC)技术。我们将多重免疫荧光组织学数据与各种基于对象的分割方法相结合,以定义基质细胞的不规则形状、网状结构。我们证实 MELC 是一种稳健的组织学方法,并使用流式细胞术和手动评估验证了我们的自动分割算法。通过 MELC 多重标记,我们揭示了基质网络中瘦素受体(LpR)、BP-1 和 VCAM-1 的异质性表达。此外,我们通过定量分析表明,与基质细胞体相比,B 细胞亚群和浆细胞更倾向于与表达 CXCL12 的基质细胞突起接触。总之,我们的方法适用于复杂组织结构的空间分析。