物理化学学报2017，Vol.33Issue(12)：2446-2453,8.DOI:10.3866/PKU.WHXB201706133
软骨细胞体外增殖去分化的拉曼光谱分析
Raman Spectroscopic Analysis of Chondrocyte Dedifferentiation during in vitro Proliferation
摘要
Abstract
Seeded chondrocytes play a crucial role in current cartilage tissue engineering, yet both the quality and quantity of these cels could be impaired owingto cel dedifferentiation duringin vitro proliferation. Here, we used micro-Raman spectroscopy to investigate changes in cellular components upon monolayer culturing of primary rat chondrocytes through multiple passages. Based on the average spectral profiles, we detected a series of Raman peaksand recognized related radicals such as nucleobases, pyranose rings, sulfate, tyrosine, proline, and amides at the single-chondrocyte level. Quantitative analysis of the Raman peak intensities showed that nucleic acids (at 789, 1094, 1576 cm?1) decreasedsignificantly from passage 1(P1) to passage 4 (P4), whereas lipids (at 1304 cm?1) and phosphate (at 957 cm?1)increased significantly. Moreover, the syntheses of two major hyaline cartilage-associated proteins, aggrecan and type-2 colagen, were impeded,as indicated by the marked decline in the levels of their specific components (glycosaminoglycan at 1042, 1063, 1126, 1160 cm?1, and hydroxyproline at 1207 cm?1). Taken together, these featuresreveal thediminished propagation and secretion abilities of passaged chondrocytes needed for matrix-induced implantation, and shed light on the molecular mechanism of chondrocyte dedifferentiation.关键词
软骨细胞/去分化/单细胞分析/显微拉曼光谱/分子机制Key words
Chondrocyte/Dedifferentiation/Single-cellanalysis/Micro-Raman spectroscopy/Molecular mechanism分类
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金璐頔,徐晶晶,张勇,余跃洲,刘畅,赵东平,叶安培..软骨细胞体外增殖去分化的拉曼光谱分析[J].物理化学学报,2017,33(12):2446-2453,8.基金项目
The project was supported by the National Natural Science Foundation ofChina (U1636110), the National Key Technologies R&D Program of China (2012BAF14B14), and the Medicine-Informatics Interdisciplinary Project of Peking University, China (2014-MI-19).国家自然科学基金(U1636110), 科技部"科技支撑计划"(2012BAF14B14)及北京大学"医学-信息"交叉研究种子基金(2014-MI-19)资助项目 （U1636110）
