Department of Anesthesiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Department of Anesthesiology, Minhang Hospital, Fudan University, Shanghai, China.
Clin Transl Med. 2021 Dec;11(12):e671. doi: 10.1002/ctm2.671.
scRNA-seq is on track for use as a routine measurement of clinical biochemistry and to assist in clinical decision-making and guide the performance of molecular medicine, but there are still a large number of challenges to be overcome. In conclusion, scRNA-seq-based clusters and differentiation of circulating blood cells have been examined and informative in patients with various diseases, although the information generated from scRNA-seq varies between different conditions, technologies, and diseases. Most of the clinical studies published have focused on the landscape of circulating immune cells, disease-specific patterns of new clusters, understanding of potential mechanisms, and potential correlation between cell clusters, differentiations, cell interactions, and circulating and migrated cells. It is clear that the information from scRNA-seq advances the understanding of the disease, identifies disease-specific target panels, and suggests new therapeutic strategies. The adaptation of scRNA-seq as a routine clinical measurement will require standardization and normalization of scRNA-seq-based comprehensive information and validation in a large population of healthy and diseased patients. The integration of public databases on human circulating cell clusters and differentiations with an application of artificial intelligence and computational science will accelerate the application of scRNA-seq for clinical practice. Thus, we call special attention from scientists and clinicians to the clinical and translational discovery, validation, and medicine opportunities of scRNA-seq development.
单细胞 RNA 测序有望成为临床生物化学的常规测量方法，有助于临床决策，并指导分子医学的实施，但仍有大量挑战需要克服。总之，基于单细胞 RNA 测序的循环血液细胞聚类和分化在各种疾病患者中已经得到了检查和有意义的应用，尽管单细胞 RNA 测序产生的信息在不同条件、技术和疾病之间存在差异。已发表的大多数临床研究都集中在循环免疫细胞的研究，特定疾病的新聚类模式，对潜在机制的理解，以及细胞聚类、分化、细胞相互作用、循环和迁移细胞之间的潜在相关性上。很明显，单细胞 RNA 测序提供的信息可以促进对疾病的认识，确定疾病特异性的靶标面板，并提出新的治疗策略。单细胞 RNA 测序作为常规临床测量的应用需要对基于单细胞 RNA 测序的综合信息进行标准化和规范化，并在大量健康和患病患者中进行验证。将人类循环细胞聚类和分化的公共数据库与人工智能和计算科学的应用相结合，将加速单细胞 RNA 测序在临床实践中的应用。因此，我们呼吁科学家和临床医生特别关注单细胞 RNA 测序的临床和转化发现、验证以及医学应用机会。
