Objective To apply iTRAQ technology to observe changes in protein expression group in the process of inducing C2C12 cells differentiation towards osteoblast by BMP-2.Methods The myoblast C2C12 cells were seeded in BMP-2 induced differentiation system for differentiation induction.In the 7th day,differentiation protein was extracted and labeled with iTRAQ reagent.Then,mass spectrometric detection,data analysis of differentially expressed proteins,and analysis of biological information were carried out.Results 23 significantly differentially expressed protein spots were screened by BMP-2-induced myoblast C2C12 differentiated cell protein expression profile analysis,where the protein was labeled with iTRAQ reagent.8 protein points were up-regulated,and 15 protein points were down-regulated.Trend classification found that the above differential protein had differential expression in each period of C2C12 cell osteogenic differentiation (1-7 days).Part of up-regulated protein in the early differentiation period showed high expression level;part of up-regulated protein in the late differentiation period showed high expression level;similarly,part of down-regulated protein in the early differentiation period presented low expression level;part of down-regulated protein in the late differentiation period showed low expression level.Preliminary identification showed SERCA3,Cytochrome bS,S100A4,ATPase inhibitor and ATPIF1 presented dynamic changes,which suggests that these proteins may be related to inducing osteogenic differentiation mechanism.Conclusion The results of differential protein expression trend show the necessity of full monitoring of C2C 12 cells osteogenic differentiation and indicate that iTRAQ technology is an effective method of studying protein changes of cellular molecule.Five proteins including SERCA3,Cytochrome b5,S100A4,ATPase inhibitor and ATPIF1 can be used as candidate targets for osteogenic differentiation mechanism research.

For patients with partial jaw defects, cysts and dental implants, doctors need to take panoramic X-ray films or manually draw dental arch lines to generate Panorama images in order to observe their complete dentition information during oral diagnosis. In order to solve the problems of additional burden for patients to take panoramic X-ray films and time-consuming issue for doctors to manually segment dental arch lines, this paper proposes an automatic panorama reconstruction method based on cone beam computerized tomography (CBCT). The V-network (VNet) is used to pre-segment the teeth and the background to generate the corresponding binary image, and then the Bezier curve is used to define the best dental arch curve to generate the oral panorama. In addition, this research also addressed the issues of mistakenly recognizing the teeth and jaws as dental arches, incomplete coverage of the dental arch area by the generated dental arch lines, and low robustness, providing intelligent methods for dental diagnosis and improve the work efficiency of doctors.
Humans ; Radiography, Panoramic/methods* ; Cone-Beam Computed Tomography/methods* ; Head ; Image Processing, Computer-Assisted/methods*