Collecting transcription factor data from single cells based on high-quality literature is a complex yet highly valuable process that provides profound insights into cellular heterogeneity and regulatory networks. Advances in single-cell RNA sequencing (scRNA-seq) technology have enabled the study of gene expression patterns at the single-cell level, while transcription factors, as key molecules regulating gene expression, play a central role in understanding cell states and fate determination.