On November 13, the Jiang Rui research group from the Department of Automation at Tsinghua University released ProtCell, a foundation model for single-cell proteomics, and published the paper "ProtCell: a foundation model for single-cell proteomics." The model aggregates approximately 380 million cells from 98 public datasets for pre-training and evaluation, enabling precise mapping of cell states and inference of unmeasured protein expression, thereby providing key support for drug development and the construction of "virtual cells." The paper also disclosed that the team completed full-process pre-training reproduction of ProtCell on Moore Threads' flagship AI training and inference integrated intelligent computing card, the MTT S5000, with major quantitative evaluation metrics differing from mainstream international GPU platforms by only about 0.2%. This verifies the strong support capacity of Moore Threads' full-function GPU and MUSA full-stack software ecosystem for frontier life science foundation models.