Transcriptomic analysis of local bone tissue in rats after bone fracture

In this study, transcriptome sequencing technology was used to detect and analyze the changes in transcriptome of the local injury tissue after fracture. Differentially expressed genes (DEGs) with the high degree were analyzed. Our research results identify some important genes and pathways in the process of fracture healing, and summarize the main characteristics of transcriptome changes in fractures. This laid the foundation for a deeper understanding of the relation between molecular mechanisms and biological processes involved in fracture healing. By identifying the specific time points at which various cellular events occur during the healing process, researchers can gain insights into the complex interplay between cells, signaling pathways, and extracellular matrix components that is required for successful bone healing. This knowledge can inform the development of new therapies and interventions to improve fracture healing outcomes and ultimately enhance the quality of life for patients affected by bone fractures. Male adult SD rats (3 months old, weighing approximately 300g, from Beijing Vital River Laboratory Animal Technology Co., Ltd) were randomly divided into five groups. Tissue samples were collected at 0(control group), 3rd, 7th, 14th, and 28th days after fracture for whole transcriptome sequencing. In this study, transcriptome sequencing technology was used to detect and analyze the changes in transcriptome of the local injury tissue after fracture. Differentially expressed genes (DEGs) with the high degree were analyzed.