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A quantitative analysis of multi-components by single marker(QAMS) method was established for the simultaneous determination of ephedrine hydrochloride, protocatechuic acid, 5-caffeoylquinic acid, 4-hydroxybenzoic acid, naringin, neohesperidin, glycyrrhizic acid, and praeruptorin A in Jizhi Syrup by high performance liquid chromatography(HPLC) with ultraviolet multi-wavelength detection system, and its feasibility in quality evaluation of Jizhi syrup was verified. With naringin as the internal reference substance, the relative correction factors and chromatographic peak localization methods of other seven components were respectively established at 210, 254, 280, and 320 nm. The method reproducibility was validated, and the result of QAMS were compared with those obtained by the external standard method(ESM) to verify the accuracy and feasibility of the method. The relative correction factors of ephedrine hydrochloride, protocatechuic acid, 5-caffeoylquinic acid, 4-hydroxybenzoic acid, neohesperidin, glycyrrhizic acid, and praeruptorin A with naringin as reference were 0.846, 0.582, 0.608, 0.293, 0.913, 2.207, and 0.940, respectively, which presented excellent reproducibility under different experimental conditions. Furthermore, QAMS and ESM showed no significant difference in the results for 15 batches of samples. Except protocatechuic acid and 5-caffeoylquinic acid, other six compounds were the exclusive components of single medicinal materials. In addition, glycyrrhizic acid and praeruptorin A were identified in the Jizhi Syrup for the first time, filling up the blank of no component detected in Glycyrrhizae Radix et Rhizoma and Peucedani Radix. The method established in this study is convenient, efficient, specific, accurate, and reliable, which can comprehensively and effectively evaluate the quality of Jizhi Syrup to ensure the safety and efficacy of this drug in clinical application.

As an emerging sequencing technology, single-cell RNA sequencing (scRNA-Seq) has become a powerful tool for describing cell subpopulation classification and cell heterogeneity by achieving high-throughput and multidimensional analysis of individual cells and circumventing the shortcomings of traditional sequencing for detecting the average transcript level of cell populations. It has been applied to life science and medicine research fields such as tracking dynamic cell differentiation, revealing sensitive effector cells, and key molecular events of diseases. This review focuses on the recent technological innovations in scRNA-Seq, highlighting the latest research results with scRNA-Seq as the core technology in frontier research areas such as embryology, histology, oncology, and immunology. In addition, this review outlines the prospects for its innovative application in traditional Chinese medicine (TCM) research and discusses the key issues currently being addressed by scRNA-Seq and its great potential for exploring disease diagnostic targets and uncovering drug therapeutic targets in combination with multiomics technologies.