Project description:We selected humann intervertebral disc samples to perform proteomics analysis. There were 1 case of grade I , 1 case of grade II, 3 cases of grade Ⅲ and 3 cases of grade Ⅳ according to Pfirrmann classfication. RNA seqencing analysis and single-cell RNA sequencing were integrated with proteomics data to identify the hub genes for intervertebral disc degeneration using bioinformatic method.
Project description:The rat tendon injury models were established and divided into three groups: normal control group, injury model group, and celecoxib + lactoferrin treatment group. Then, RNA sequencing and differential expression analysis were performed for samples from injury model group and celecoxib + lactoferrin treatment group on day 14. Next, autophagy/hypoxia/ferroptosis/pyroptosis-related genes retrieved from the corresponding databases and related literatures were downloaded to obtain the genes associated with autophagy/hypoxia/ferroptosis/pyroptosis. Subsequently, functional annotation, protein-protein interaction (PPI) network and transcriptional regulatory network construction for these genes were performed.
Project description:Tendon degeneration and injury often result in significant pain and functional impairment. Typically, tendon healing occurs through a scar-mediated response and may progress to chronic tendinopathy without timely intervention. However, the molecular mechanisms underlying early tendon repair remain poorly understood. Further investigation is also impeded by the limited availability of early tendon injury samples in clinical settings. In this study, we established a puncture-induced tendon injury model to investigate the molecular patterns and cellular subpopulations involved in early tendon injury across multiple time points. RNA sequencing identified seven gene sets with distinct expression profiles during the early stages of tendon injury. Single-cell RNA sequencing further revealed eight myeloid cell types and seven mesenchymal cell types participating in the tendon repair process. Together, these findings illuminate the molecular and cellular dynamics coordinating early tendon repair, providing insights that could inform future clinical treatments for tendinopathy and tendon injury.
Project description:Keloids are dermal fibroproliferative skin disorders caused by abnormal wound healing, resulting in impaired skin function and aesthetic defects. Abnormal fibroblast proliferation and excessive collagen deposition are involved in keloid formation. This study investigated the role of fibroblast differentiation in keloid development. Single-cell and bulk RNA sequencing data of keloids were comprehensively analyzed, and 25 clinically relevant differentially expressed fibroblast-differentiation-related genes (DEFDRGs) were identified. Based on DEFDRGs, a keloid diagnostic classification system comprising three subtypes was constructed, indicating that DEFDRGs could serve as therapeutic targets. Additionally, multiple microarray datasets, protein sequencing data, and immunohistochemical analyses of key markers in clinical keloid samples were used for further verification. In conclusion, this study established a molecular classification of keloids based on fibroblast differentiation, contributing to the further understanding of keloid pathogenesis and providing new insights for diagnosis and treatment.