Karnik Sonali J, Gulbronson Connor, Jordan Paige C, Kanumuri Rahul, Ramdas Baskar, Kumar Ramesh, Hartman Melissa L, Khurram Izza, Brown Drew M, Pollok Karen E, Singh Pratibha, Kapur Reuben, Kacena Melissa A
Department of Orthopaedic Surgery, Indiana University School of Medicine, Indianapolis, IN, USA.
Indiana University Cooperative Center of Excellence in Hematology (CCEH), Indianapolis, IN, USA.
Leukemia. 2025 Apr 11. doi: 10.1038/s41375-025-02596-5.
Bone marrow (BM) is a tissue that is of great importance to several areas of basic and translational research, including hematology, oncology, bone biology, and immunology. It is unique in that it is gelatinous in nature but housed in a hard casing of bone. Traditionally, flow cytometry and immunofluorescence (IF) techniques have been employed to study the composition of cellular interactions and elements of the BM. However, it has been challenging to study the BM in an unperturbed state using multiple fluorescent probes at a time to fully appreciate the diverse cell populations and their interactions and relative positioning with each other. This protocol addresses how Phenocycler 2.0, which uses co-detection by indexing (CODEX) in conjunction with HALO 4.0 image analysis software, can overcome the obstacles faced by traditional techniques used to study the BM in an unperturbed state.
骨髓(BM)是一种对基础研究和转化研究的多个领域都极为重要的组织,这些领域包括血液学、肿瘤学、骨生物学和免疫学。它的独特之处在于其本质呈凝胶状,但却被包裹在坚硬的骨质外壳中。传统上,流式细胞术和免疫荧光(IF)技术已被用于研究骨髓中细胞相互作用的组成和成分。然而,要在不干扰的状态下同时使用多种荧光探针来研究骨髓,以充分了解不同细胞群体及其相互作用和相对位置,一直具有挑战性。本方案阐述了如何使用索引共检测(CODEX)技术结合HALO 4.0图像分析软件的Phenocycler 2.0,能够克服在不干扰状态下研究骨髓时传统技术所面临的障碍。