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RISS 인기검색어
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- 저자 : Yan Siqi ) (검색결과 4 건)
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Determining Osteogenic Differentiation Efficacy of Pluripotent Stem Cells by Telomerase Activity
Siqi Zhang,Yuhua Sun,Yi Sui,Yan Li,Zuyuan Luo,Xiao Xu,Ping Zhou,Shicheng Wei 한국조직공학과 재생의학회 2018 조직공학과 재생의학 Vol.15 No.6
BACKGROUND: Bone tissue engineering based on pluripotent stem cells (PSCs) is a new approach to deal with bone defects. Protocols have been developed to generate osteoblasts from PSCs. However, the low efficiency of this process is still an important issue that needs to be resolved. Many studies have aimed to improve efficiency, but developing accurate methods to determine efficacy is also critical. Studies using pluripotency to estimate efficacy are rare. Telomerase is highly associated with pluripotency. METHODS: We have described a quantitative method to measure telomerase activity, telomeric repeat elongation assay based on quartz crystal microbalance (QCM). To investigate whether this method could be used to determine the efficiency of in vitro osteogenic differentiation based on pluripotency, we measured the pluripotency pattern of cultures through stemness gene expression, proliferation ability and telomerase activity, measured by QCM. RESULTS: We showed that the pluripotency pattern determined by QCM was similar to the patterns of proliferation ability and gene expression, which showed a slight upregulation at the late stages, within the context of the general downregulation tendency during differentiation. Additionally, a comprehensive gene expression pattern covering nearly every stage of differentiation was identified. CONCLUSION: Therefore, this assay may be powerful tools for determining the efficiency of differentiation systems based on pluripotency. In this study, we not only introduce a new method for determining efficiency based on pluripotency, but also provide more information about the characteristics of osteogenic differentiation which help facilitate future development of more efficient protocols.
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Yan Chenggong,Lin Jie,Li Haixia,Xu Jun,Zhang Tianjing,Chen Hao,Woodruff Henry C.,Wu Guangyao,Zhang Siqi,Xu Yikai,Lambin Philippe 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.6
Objective: To investigate the image quality of ultralow-dose CT (ULDCT) of the chest reconstructed using a cycle-consistent generative adversarial network (CycleGAN)-based deep learning method in the evaluation of pulmonary tuberculosis. Materials and Methods: Between June 2019 and November 2019, 103 patients (mean age, 40.8 ± 13.6 years; 61 men and 42 women) with pulmonary tuberculosis were prospectively enrolled to undergo standard-dose CT (120 kVp with automated exposure control), followed immediately by ULDCT (80 kVp and 10 mAs). The images of the two successive scans were used to train the CycleGAN framework for image-to-image translation. The denoising efficacy of the CycleGAN algorithm was compared with that of hybrid and model-based iterative reconstruction. Repeated-measures analysis of variance and Wilcoxon signedrank test were performed to compare the objective measurements and the subjective image quality scores, respectively. Results: With the optimized CycleGAN denoising model, using the ULDCT images as input, the peak signal-to-noise ratio and structural similarity index improved by 2.0 dB and 0.21, respectively. The CycleGAN-generated denoised ULDCT images typically provided satisfactory image quality for optimal visibility of anatomic structures and pathological findings, with a lower level of image noise (mean ± standard deviation [SD], 19.5 ± 3.0 Hounsfield unit [HU]) than that of the hybrid (66.3 ± 10.5 HU, p < 0.001) and a similar noise level to model-based iterative reconstruction (19.6 ± 2.6 HU, p > 0.908). The CycleGAN-generated images showed the highest contrast-to-noise ratios for the pulmonary lesions, followed by the model-based and hybrid iterative reconstruction. The mean effective radiation dose of ULDCT was 0.12 mSv with a mean 93.9% reduction compared to standard-dose CT. Conclusion: The optimized CycleGAN technique may allow the synthesis of diagnostically acceptable images from ULDCT of the chest for the evaluation of pulmonary tuberculosis.
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Ying Liang,Deyu Kong,Yi Zhang,Siqi Li,Yan Li,Anuradha Ramamoorthy,Junfeng Ma 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.2
Thyroid cancer is the most important malignant tumor reported in human populations where, its treatment remains undeveloped. Fisetin, a plant flavonoid exhibits several pharmacological properties like antioxidant, antiinflammatory, and anticancer function. In the existing study, we assessed fisetin mediated cytotoxic effects and action potential of fisetin on cell proliferation in TPC-1 human cancer cells. Also, examined the apoptosis in TPC-1 cells by reactive oxygen species (ROS) generation, the mitochondrial membrane potential (MMP) and apoptotic morphological changes through AO/EtBr staining. Additionally, we analyzed the effects of fisetin through ELISA analysis to evaluate the caspases expression and studied JAK 1 and STAT3 signaling molecule in TPC1 cells. Our results demonstrated that fisetin stimulated apoptosis, which confirmed through reduced cell viability, improved ROS generation, altered MMP and cell cycle phases in TPC-1 cells. Further, the fisetin up-regulated the expression of caspase (3, 8, and 9) expressions in TPC-1 cells. Also, we observed the fisetin down-regulated the JAK 1 and STAT3 expression in TPC1 cells. Thus, the fisetin induced apoptosis in TPC-1 cells by the induction of oxidative damage and enhanced caspases expression by down-regulating JAK 1 and STAT3 signaling molecules. Hence, the fisetin would be considered as a beneficial therapeutic agent for the thyroid cancer treatment.
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