Quantitative characterization of mineralized silk film remodeling during long-term osteoblast-osteoclast co-culture.

Quantitative characterization of mineralized silk film remodeling during long-term osteoblast-osteoclast co-culture.
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DOI:
10.1016/j.biomaterials.2014.01.034
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发表时间:
2014-04
期刊:
影响因子:
14
通讯作者:
Kaplan, David L.
Kaplan, David L.
中科院分区:
工程技术1区
文献类型:
--
作者:
Hayden, Rebecca S.;Quinn, Kyle P.;Alonzo, Carlo A.;Georgakoudi, Irene;Kaplan, David L.

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本研究的目的是通过长期培养(8 ~ 32周)的人间充质干细胞来源的成骨细胞和人急性单核细胞白血病细胞系来源的破骨细胞共培养,探索矿化丝蛋白生物材料膜的定量评估。在扩展培养过程中,使用三种不同的技术对重塑膜进行定量评估,以更全面地了解共培养对表面重塑的影响。采用三维表面重建的扫描电子显微镜(SEM)定量测定了细胞重塑的各种表面形态学特征和粗糙度指标。此外,重建的表面被转换为深度图像进行傅里叶分析,以量化生物矿化的潜在分形组织。用共聚焦反射显微镜和微计算机断层扫描(micro-CT)对长期重塑的膜进行成像,以进一步量化形态学变化。与单独成骨细胞重塑的膜相比,在共培养中重塑的膜具有更高的粗糙度参数、分形组织和体积。将这些技术结合起来量化矿化蛋白膜的重塑,有望量化与矿化表面相关的过程。
The goal of this study was to explore quantitative assessments of mineralized silk protein biomaterial films by co-cultures of human mesenchymal stem cell-derived osteoblasts and human acute monocytic leukemia cell line-derived osteoclasts during long-term culture (8 to 32 weeks). The remodeled films were quantitatively assessed using three different techniques during this extended cultivation to provide more comprehensive insight into the impact of co-cultures on surface remodeling. Scanning electron microscopy (SEM) with three dimensional surface reconstructions was used to quantitatively determine various surface morphological features and measures of roughness indicative of remodeling by the cells. Additionally, reconstructed surfaces were converted to depth images for Fourier analysis to quantify the potential fractal organization of biomineralization. The long-term remodeled films were also imaged using confocal reflectance microscopy and micro-computed tomography (micro-CT) to further quantify morphological changes. Films remodeled in co-culture demonstrated increased roughness parameters, fractal organization, and volume compared to films remodeled by osteoblasts alone. The combination of these techniques to quantify remodeling of mineralized protein films shows promise for quantifying processes related to mineralized surfaces.
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