Single-Cell Sequence Technology Used to Reveal Heterogeneity of Secondary Hyperparathyroidism

This project intends to select cases that meet the research requirements, take secondary hyperparathyroidism, primary hyperparathyroidism and normal human parathyroid tissue, a total of three groups, 4 cases in each group, through the method of single-cell transcription and sequencing, construct a map of human parathyroid function types, reveal the gene structure and gene expression status of cells, and visualize the expression characteristics, intercellular heterogeneity, and heterogeneity of cell subsets of secondary hyperparathyroid cells in a hierarchical manner, draw a single-cell map, and compare the differences between groups. To explore the pathogenesis of secondary hyperparathyroidism. Secondary hyperparathyroidism, parathyroid tissue of primary hyperparathyroidism and normal parathyroid tissue obtained by accident were collected, frozen and preserved, frozen tissue thawed, single-cell suspension was prepared and each cell was specifically labeled by the Mozhuo Genomics system, after oil breaking, polymerase chain reaction amplification, reverse transcription to obtain complementary DNA, and a library of complementary DNA that passed quality inspection was constructed to obtain high-quality data of parathyroid cells. Cell Ranger, R Seurat package, and t-SNE dimensionality reduction diagram were used to reduce the dimensionality, cluster, and visualize the data. In order to construct a single-cell atlas of parathyroid glands, investigators performed cluster analysis of similar cells according to the gene expression profile, and then visualized the data by t-SNE. According to the results of cell clustering, the specific and highly expressed genes in each cell cluster were identified. Cell populations were identified according to the expression of landmark genes, and the differences in cell types and proportions between groups were compared.