Bi Xinyuan, Ma Bin, Liu Wei, Gao Wei-Qiang, Ye Jian, Rao Hanyu
School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Shanghai Jiao Tong University Sichuan Research Institute, Chengdu, 610213, People's Republic of China.
Stem Cell Res Ther. 2024 Dec 18;15(1):467. doi: 10.1186/s13287-024-04109-0.
Mesenchymal stem cells (MSCs) are widely applied in the treatment of various clinical diseases and in the field of medical aesthetics. However, MSCs exhibit greater heterogeneity limited stability, and more complex molecular and mechanistic characteristics compared to conventional drugs, making rapid and precise monitoring more challenging.
Surface-enhanced Raman spectroscopy (SERS) is an ultrasensitive, tractable and low-cost fingerprinting technique capable of identifying a wide range of molecules related to biological processes. Here, we employed SERS for reproducible quantification of ultralow concentrations of molecules and utilized spectral sets, termed SERSomes, for robust and comprehensive intracellular multi-metabolite profiling.
We revealed that with increasing passage number, there is a gradual decline in cell expansion efficiency, accompanied by significant changes in intracellular amino acids, purines, and pyrimidines. By integrating these metabolic features detected by SERS with transcriptomic data, we established a correlation between SERS signals and biological changes, as well as differentially expressed genes.
In this study, we explore the application of SERS technique to provide robust metabolic characteristics of MSCs across different passages and donors. These results demonstrate the effectiveness of SERSome in reflecting biological characteristics. Due to its sensitivity, adaptability, low cost, and feasibility for miniaturized instrumentation throughout pretreatment, measurement, and analysis, the label-free SERSome technique is suitable for monitoring MSC expansion and offers significant advantages for large-scale MSC manufacturing.
间充质干细胞（MSCs）广泛应用于各种临床疾病的治疗及医学美容领域。然而，与传统药物相比，MSCs表现出更大的异质性、有限的稳定性以及更复杂的分子和机制特征，这使得快速精确的监测更具挑战性。
表面增强拉曼光谱（SERS）是一种超灵敏、易处理且低成本的指纹识别技术，能够识别与生物过程相关的多种分子。在此，我们采用SERS对超低浓度分子进行可重复定量，并利用称为SERSomes的光谱集对细胞内多种代谢物进行稳健而全面的分析。
我们发现随着传代次数增加，细胞扩增效率逐渐下降，同时细胞内氨基酸、嘌呤和嘧啶发生显著变化。通过将SERS检测到的这些代谢特征与转录组数据相结合，我们建立了SERS信号与生物学变化以及差异表达基因之间的相关性。
在本研究中，我们探索了SERS技术的应用，以提供不同传代次数和供体来源的MSCs的稳健代谢特征。这些结果证明了SERSomes在反映生物学特征方面的有效性。由于其在整个预处理、测量和分析过程中的灵敏度、适应性、低成本以及小型化仪器的可行性，无标记的SERSomes技术适用于监测MSCs的扩增，并为大规模MSCs生产提供显著优势。
