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| RANKL细胞因子诱导RAW264.7细胞分化破骨细胞的优化与经济高效方案 |
| Optimization and cost-effective scheme of osteoclast differentiation induced by RANKL in RAW264.7 cells |
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| DOI：10.3969/j.issn.1006-7108.2026.03.005 |
| 中文关键词: 破骨细胞 RAW264.7细胞 RANKL |
| 英文关键词:osteoclast RAW264.7 cells RANKL |
| 基金项目:湖北省自然科学基金(2022CFD146) |
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| 摘要点击次数: 17 |
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| 中文摘要: |
| 目的 通过多因素析因设计，系统解析RANKL细胞因子诱导RAW264.7细胞分化为破骨细胞的最佳条件，建立标准化方案。方法 设置6种铺板密度(1.25×103~3×104 cells/cm2)、8种RANKL浓度（0~100 ng/mL）及两种RANKL添加时序（0 h组，12 h组），共计诱导5 d。通过TRAP染色鉴定成熟破骨细胞数量，比较不同条件下破骨细胞诱导效果。结果 RANKL浓度与破骨细胞生成数量呈正相关，当RANKL浓度达到40 ng/mL时，破骨细胞生成数量达到峰值，继续提升RANKL浓度对破骨细胞数量的变化无统计学意义（P>0.05）；细胞铺板密度显著影响破骨细胞的生成，低细胞铺板密度（≤5×103 cells/cm2）或高密度（＞2×104 cells/cm2）铺板均抑制破骨细胞形成。细胞铺板密度为2×104 cells/cm2时，可稳定诱导出大量破骨细胞；不同RANKL添加时序影响了最终形成的破骨细胞数量，0 h组收获的破骨细胞数量显著高于12 h组(P<0.05）。结论 首次揭示了细胞铺板密度、RANKL浓度和RANKL添加时序3维交互效应对破骨细胞分化的调控作用，最佳条件为：细胞铺板密度2×104 cells/cm2、RANKL浓度40 ng/mL（0 h组），可于5 d内诱导出大量形态典型的破骨细胞。为骨破坏疾病研究提供了稳定可靠且经济高效的细胞模型。 |
| 英文摘要: |
| Objective To systematically identify the optimal conditions for RANKL-induced differentiation of RAW264.7 cells into osteoclasts through a multifactorial factorial design and to establish a standardized induction protocol. Methods RAW264.7 cells were seeded at six different densities (1.25×103 – 3×10? cells/cm2) and exposed to eight concentrations of RANKL (0 – 100 ng/ml) with two timing strategies for RANKL addition (0 h group and 12 h group). After 5 days of induction, mature osteoclasts were identified with TRAP staining. Osteoclast numbers under different conditions were compared. Results The number of osteoclasts was positively correlated with RANKL concentration, reaching a peak at 40 ng/ml. Further increases in RANKL concentration did not result in significant changes in osteoclast numbers (P>0.05). Cell seeding density significantly affected osteoclastogenesis: both low density (≤5×103 cells/cm2) and high density (>2×10? cells/cm2) suppressed osteoclast formation. A seeding density of 2×10? cells/cm2 consistently induced the formation of abundant osteoclasts. The timing of RANKL addition also influenced osteoclast yields, with the 0 h group generating significantly more osteoclasts than the 12 h group (P<0.05). Conclusion This study, for the first time, reveals the three-dimensional interactive effects of cell seeding density, RANKL concentration, and timing of RANKL addition on osteoclast differentiation. The optimal conditions, 2×10? cells/cm2 seeding density, 40 ng/ml RANKL concentration, and immediate addition of RANKL (0 h group), enable the efficient induction of abundant and morphologically typical osteoclasts within 5 days. This provides a stable, reliable, and cost-effective cellular model for the study of bone-destructive diseases. |
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