Maine Medical Center Research Institute, Scarborough, ME 04074, USA; University of Maine Graduate School of Biomedical Science and Engineering, Orono, ME 04469, USA; Tufts University School of Medicine, Boston, MA 02111, USA.
Vermont Genetics Network, Department of Biology, Norwich University, 158 Harmon Drive, Northfield, VT 05663, USA.
Bone. 2019 Jan;118:77-88. doi: 10.1016/j.bone.2018.01.023. Epub 2018 Jan 31.
Over the past twenty years, evidence has accumulated that biochemically and spatially defined networks of extracellular matrix, cellular components, and interactions dictate cellular differentiation, proliferation, and function in a variety of tissue and diseases. Modeling in vivo systems in vitro has been undeniably necessary, but when simplified 2D conditions rather than 3D in vitro models are used, the reliability and usefulness of the data derived from these models decreases. Thus, there is a pressing need to develop and validate reliable in vitro models to reproduce specific tissue-like structures and mimic functions and responses of cells in a more realistic manner for both drug screening/disease modeling and tissue regeneration applications. In adipose biology and cancer research, these models serve as physiologically relevant 3D platforms to bridge the divide between 2D cultures and in vivo models, bringing about more reliable and translationally useful data to accelerate benchtop to bedside research. Currently, no model has been developed for bone marrow adipose tissue (BMAT), a novel adipose depot that has previously been overlooked as "filler tissue" but has more recently been recognized as endocrine-signaling and systemically relevant. Herein we describe the development of the first 3D, BMAT model derived from either human or mouse bone marrow (BM) mesenchymal stromal cells (MSCs). We found that BMAT models can be stably cultured for at least 3 months in vitro, and that myeloma cells (5TGM1, OPM2 and MM1S cells) can be cultured on these for at least 2 weeks. Upon tumor cell co-culture, delipidation occurred in BMAT adipocytes, suggesting a bidirectional relationship between these two important cell types in the malignant BM niche. Overall, our studies suggest that 3D BMAT represents a "healthier," more realistic tissue model that may be useful for elucidating the effects of MAT on tumor cells, and tumor cells on MAT, to identify novel therapeutic targets. In addition, proteomic characterization as well as microarray data (expression of >22,000 genes) coupled with KEGG pathway analysis and gene set expression analysis (GSEA) supported our development of less-inflammatory 3D BMAT compared to 2D culture. In sum, we developed the first 3D, tissue-engineered bone marrow adipose tissue model, which is a versatile, novel model that can be used to study numerous diseases and biological processes involved with the bone marrow.
在过去的二十年中,有证据表明,细胞外基质、细胞成分和相互作用的生化和空间定义网络决定了各种组织和疾病中细胞的分化、增殖和功能。在体外模拟体内系统是不可否认的必要,但当使用简化的 2D 条件而不是 3D 体外模型时,这些模型得出的数据的可靠性和有用性会降低。因此,迫切需要开发和验证可靠的体外模型,以更真实地再现特定的组织样结构,并模拟细胞的功能和反应,这对于药物筛选/疾病建模和组织再生应用都非常重要。在脂肪生物学和癌症研究中,这些模型作为生理相关的 3D 平台,弥合了 2D 培养物和体内模型之间的鸿沟,为加速从实验台到临床的研究提供了更可靠和更具转化意义的数据。目前,尚未开发出用于骨髓脂肪组织(BMAT)的模型,BMAT 是一种新型脂肪库,以前被忽视为“填充组织”,但最近被认为是具有内分泌信号和系统相关性的组织。本文描述了从人或鼠骨髓(BM)间充质基质细胞(MSCs)中衍生的第一个 3D BMAT 模型的开发。我们发现,BMAT 模型可以在体外稳定培养至少 3 个月,骨髓瘤细胞(5TGM1、OPM2 和 MM1S 细胞)可以在这些细胞上培养至少 2 周。在肿瘤细胞共培养时,BMAT 脂肪细胞发生脂解,这表明恶性 BM 龛中这两种重要细胞类型之间存在双向关系。总之,我们的研究表明,3D BMAT 代表了一种“更健康”、更真实的组织模型,可用于阐明 MAT 对肿瘤细胞的影响,以及肿瘤细胞对 MAT 的影响,以确定新的治疗靶点。此外,蛋白质组学特征以及微阵列数据(>22,000 个基因的表达),加上 KEGG 通路分析和基因集表达分析(GSEA),支持我们开发出比 2D 培养更具抗炎性的 3D BMAT。总之,我们开发了第一个 3D 组织工程化骨髓脂肪组织模型,这是一种多功能、新颖的模型,可用于研究涉及骨髓的许多疾病和生物学过程。