Chinese atomospheric environment and research strategy

場所：東京大学弥生講堂，共催：文部科学省２１世紀COE「環日本海域の環境計測と長期・短期変動予測」，大気環境学

Chinese atomspheric environment and research strategy

場所：金沢大学自然科学研究科図書館棟1階，講演会場：図書館棟1階　大会議室，ポスター会場：図書館棟1階12会議室,主催・共催：文部科学省２１世紀COE「環日本海域の環境計測と長期・短期変動予測」， 大気環境学会， 金沢大学工学

Mining bone metastasis related key genes of prostate cancer from the STING pathway based on machine learning

BackgroundProstate cancer (PCa) is the second most prevalent malignant tumor in male, and bone metastasis occurs in about 70% of patients with advanced disease. The STING pathway, an innate immune signaling mechanism, has been shown to play a key role in tumorigenesis, metastasis, and cancerous bone pain. Hence, exploring regulatory mechanism of STING in PCa bone metastasis will bring novel opportunities for treating PCa bone metastasis.MethodsFirst, key genes were screened from STING-related genes (SRGs) based on random forest algorithm and their predictive performance was evaluated. Subsequently, a comprehensive analysis of key genes was performed to explore their roles in prostate carcinogenesis, metastasis and tumor immunity. Next, cellular experiments were performed to verify the role of RELA in proliferation and migration in PCa cells, meanwhile, based on immunohistochemistry, we verified the difference of RELA expression between PCa primary foci and bone metastasis. Finally, based on the key genes to construct an accurate and reliable nomogram, and mined targeting drugs of key genes.ResultsIn this study, three key genes for bone metastasis were mined from SRGs based on the random forest algorithm. Evaluation analysis showed that the key genes had excellent prediction performance, and it also showed that the key genes played a key role in carcinogenesis, metastasis and tumor immunity in PCa by comprehensive analysis. In addition, cellular experiments and immunohistochemistry confirmed that overexpression of RELA significantly inhibited the proliferation and migration of PCa cells, and RELA was significantly low-expression in bone metastasis. Finally, the constructed nomogram showed excellent predictive performance in Receiver Operating Characteristic (ROC, AUC = 0.99) curve, calibration curve, and Decision Curve Analysis (DCA) curve; and the targeted drugs showed good molecular docking effects.ConclusionIn sum, this study not only provides a new theoretical basis for the mechanism of PCa bone metastasis, but also provides novel therapeutic targets and novel diagnostic tools for advanced PCa treatment

Can host reaction animal models be used to predict and modulate skin regeneration?

The study of host reactions in the biomedical and tissue engineering (TE) fields is a key issue but somehow set aside where TE constructs are concerned. Every day new biomaterials and TE constructs are being developed and presented to the scientific community. The combination of cells and biomolecules with scaffolding materials, as TE constructs, make the isolation and the understanding of the effect of each one those elements over the overall host reaction difficult. Eventually, all variables influence the host reaction and the performance of the constructs. For this reason, current assessment of the in vivo performance of TE constructs follows individual approaches, using specific animal models to independently provide insights regarding the contribution of the biomaterials/scaffolds towards the host reaction, and of all the constructs regarding their functionality. Skin wound healing progress into tissue regeneration or repair is highly dependent on the specificities of the inflammatory stage, as demonstrated by comparison between fetal and adult mechanisms. Thus, it would be expected that insights acquired from host tissue reaction evaluation to biomaterials/scaffolds would be explored to predict healing progression and improve the functionality of skin TE constructs. The rational of this review is to make a comprehensive analysis of to what extent the knowledge obtained from the evaluation of in vivo host reactions to implantable biomaterials/scaffolds has been used in the design of skin TE strategies, by promoting tissue regeneration rather than repair.T.C.S. acknowledges Grant No. RL3-TECT-NORTE-01-0124-FEDER-000020, co-financed by the North Portugal Regional Operational Programme (ON.2-O Novo Norte), under the National Strategic Reference Framework, through the European Regional Development Fund

The coactivator-associated arginine methyltransferase is necessary for muscle differentiation - CARM1 coactivates myocyte enhancer factor-2

Studies with the myogenic basic helix-loop-helix and MADS box factors suggest that efficient transactivation is dependent on the recruitment of the steroid receptor coactivator (SRC) and the cofactors p300 and p300/CBP-associated factor. SRCs have been demonstrated to recruit CARM1 (coactivator-associated arginine methyltransferase-1), a member of the S-adenOSyl-L-methionine-dependent PRMTI-5 (protein-arginine N-methyltransferase-1-5) family, which catalyzes the methylation of arginine residues. This prompted us to investigate the functional role of CARM1/PRMT4 during skeletal myogenesis. We demonstrate that CARM1 and the SRC cofactor GRIP-1 cooperatively stimulate the activity of myocyte enhancer factor-2C (MEF2C). Moreover, there are direct interactions among MEF2C, GRIP-1, and CARM1. Chromatin immunoprecipitation demonstrated the in vivo recruitment of MEF2 and CARM1 to the endogenous muscle creatine kinase promoter in a differentiation-dependent manner. Furthermore, CARM1 is expressed in somites during embryogenesis and in the nuclei of muscle cells. Treatment of myogenic cells with the methylation inhibitor adenosine dialdehyde or tet-regulated CARM1 antisense expression did not affect expression of MyoD. However, inhibition of CARM1. inhibited differentiation and abrogated the expression of the key transcription factors (myogenin and MEF2) that initiate the differentiation cascade. This work clearly demonstrates that the arginine methyltransferase CARM1 potentiates myogenesis and supports the positive role of arginine methylation in mammalian differentiation

The 3-D numerical simulation research of vacuum injector for linear induction accelerator

Simulation method for voltage in-feed and electron injection of vacuum injector is given, and verification of the simulated voltage and current is carried out. The numerical simulation for the magnetic field of solenoid is implemented, and a comparative analysis is conducted between the simulation results and experimental results. A semi-implicit difference algorithm is adopted to suppress the numerical noise, and a parallel acceleration algorithm is used for increasing the computation speed. The RMS emittance calculation method of the beam envelope equations is analyzed. In addition, the simulated results of RMS emittance are compared with the experimental data. Finally, influences of the ferromagnetic rings on the radial and axial magnetic fields of solenoid as well as the emittance of beam are studied