Baumann Alexandra, Ahmadi Najia, Wolfien Markus
Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.
Institute for Medical Informatics and Biometry, Faculty of Medicine Carl Gustav Carus, TUD Dresden University of Technology, Dresden, Germany.
Methods Mol Biol. 2025;2883:31-51. doi: 10.1007/978-1-0716-4290-0_2.
The journey from laboratory research to clinical practice is marked by significant advancements in the fields of single-cell technologies and non-coding RNA (ncRNA) research. This convergence may reshape our approach to personalized medicine, offering groundbreaking insights and treatments in various clinical settings. This chapter discusses advancements in (nc)RNAs in the clinics, innovations in single-cell technologies and algorithms, and the impact on actual precision medicine, showing the integration of single-cell and ncRNA research can have a tangible impact on precision medicine. Case studies in Oncology, Immunology, and other fields demonstrate how these technologies can guide treatment decisions, tailor therapies to individual patients, and improve outcomes. This approach is particularly potent in addressing diseases with high inter- and intra-tumor heterogeneity. The final sections address standardization, data integration, and analysis challenges because the complexity and volume of data generated by single-cell and ncRNA research poses significant challenges. Medical Informatics is not just a support tool but could be seen as a pivotal component in advancing clinical applications of single-cell and ncRNA research by bridging the gap between bench and bedside. The future of personalized medicine depends on our ability to harness the power of these technologies, and Medical Informatics in combination with ncRNA and single-cell technologies may stand at the forefront of this endeavor.
从实验室研究到临床实践的旅程以单细胞技术和非编码RNA（ncRNA）研究领域的重大进展为标志。这种融合可能会重塑我们的个性化医疗方法，在各种临床环境中提供开创性的见解和治疗方法。本章讨论了临床中（nc）RNA的进展、单细胞技术和算法的创新，以及对实际精准医疗的影响，表明单细胞和ncRNA研究的整合可以对精准医疗产生切实影响。肿瘤学、免疫学和其他领域的案例研究展示了这些技术如何指导治疗决策、为个体患者量身定制治疗方案并改善治疗结果。这种方法在解决肿瘤间和肿瘤内高度异质性的疾病方面特别有效。最后几节讨论了标准化、数据整合和分析挑战，因为单细胞和ncRNA研究产生的数据的复杂性和数量带来了重大挑战。医学信息学不仅仅是一种支持工具，而是可以被视为通过弥合实验室和床边之间的差距来推进单细胞和ncRNA研究临床应用的关键组成部分。个性化医疗的未来取决于我们利用这些技术力量的能力，而医学信息学与ncRNA和单细胞技术相结合可能站在这一努力的前沿。
