On July 13, 2023, Nature Computational Science published online a research study led by Liyang Song, a doctoral student from Prof. Jian Yang’s lab at Westlake Laboratory, titled “Mixed model-based deconvolution of cell-state abundances (MeDuSA) along a one-dimensional trajectory". This study developed a method named MeDuSA to estimate the abundances of cells at different states in tissue-level transcriptomic data. The research team applied this method to various diseases including human cancers and COVID-19, successfully identifying cell states related to disease onset, development, prognosis, and drug treatment responses. This work significantly enhances our understanding of cell state dynamics in different biological processes.