Targeted Editing of Myostatin Gene in Sheep by Transcription Activator-like Effector Nucleases

Zhao, Xinxia,Ni, Wei,Chen, Chuangfu,Sai, Wujiafu,Qiao, Jun,Sheng, Jingliang,Zhang, Hui,Li, Guozhong,Wang, Dawei,Hu, Shengwei Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.3

Myostatin (MSTN) is a secreted growth factor expressed in skeletal muscle and adipose tissue that negatively regulates skeletal muscle mass. Gene knockout of MSTN can result in increasing muscle mass in sheep. The objectives were to investigate whether myostatin gene can be edited in sheep by transcription activator-like effector nucleases (TALENs) in tandem with single-stranded DNA oligonucleotides (ssODNs). We designed a pair of TALENs to target a highly conserved sequence in the coding region of the sheep MSTN gene. The activity of the TALENs was verified by using luciferase single-strand annealing reporter assay in HEK 293T cell line. Co-transfection of TALENs and ssODNs oligonucleotides induced precise gene editing of myostatin gene in sheep primary fibroblasts. MSTN gene-edited cells were successfully used as nuclear donors for generating cloned embryos. TALENs combined with ssDNA oligonucleotides provide a useful approach for precise gene modification in livestock animals.

아프리카 전자상거래 법률 및 규정이 중국과 아프리카의 디지털 무역에 미치는 영향 분석

장새(Sai Zhang),조국봉(Guofeng Zhao) 한국정치사회연구소 2023 한국과 국제사회 Vol.7 No.4

Mass transfer and reaction process of the wet desulfurization reactor with falling film by cross-flow scrubbing

Juncong Sai,Shaohua Wu,Rui Xu,Rui Sun,Yan Zhao,Yukun Qin 한국화학공학회 2007 Korean Journal of Chemical Engineering Vol.24 No.3

the present study, a series of wet flue gas desulfurization experiments have been carried out in com-parison with diferent slurry feeding ways, i.e., by series connection and by parallel connection, by means of cross-flow scrubbing with faling film. The experiment results show that there is optimal desulfurization performance forfer by cross-flow scrubbing model have been developed. The pH values of the outlet slurry inside the reactor and theion concentration distributions of H2SO3, HSO3 and SO32 along the axial direction of the tubes were obtained by an-alyzing and calculating the models. The calculation values agree well with the experimental values. It shows that themodels can predict well the ion concentration distributions along the axial direction of the tubes.

A Low-Cost Power Measuring Technique for Virtual Machine in Cloud Environments

Xiao Peng,Zhao Sai 보안공학연구지원센터(IJGDC) 2013 International Journal of Grid and Distributed Comp Vol.6 No.3

Identification of Essential Protein based on Functional Modules and Weighted Protein-Protein Interaction Networks

Yi Pan,Sai Hu,Bihai Zhao 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.8

Identification of essential proteins plays a significant role in understanding minimal requirements for the cellular survival and development. Experimental methods for the identification of essential proteins are always costly, time-consuming, and laborious. High throughput technologies have resulted in a large number of protein-protein interaction data, which provided a stepping stone for predicting essential proteins using computational approaches. There have been a series of computational approaches proposed for predicting essential proteins based on network topologies. However, the network topology-based centrality measures are very sensitive to noise of network. In this paper, we propose a naive essential protein discovery method, named PMN, based on the integration of weighted interactome network and functional modules. The performance of PMN is validated based on the PPI network of Saccharomyces cerevisiae. Experimental results show that PMN significantly outperforms the classical centrality measures. The results also uncover relationship between the modularity and essentiality of proteins.

The Single Center Experience of One Thousand Cases of Robotic Pancreatectomy

( Rong Liu ),( Sai Chou ),( Zhiming Zhao ),( Guodong Zhao ),( Yuanxing Gao ) 대한간학회 2018 춘·추계 학술대회 (KASL) Vol.2018 No.1

Aims: Operation plan for pancreatic tumor used to be divided in four main type,pancreaticoduodenectomy (PD),central pancreatectomy,distal pancreatectomy (DP) and pancreatic enucleation. To evaluate the value of da Vinci robotic surgery system in pancreatectomy. Methods: The clinical data of a consecutive of 1000patients who underwent robotic-assisted pancreatectomy from Novem-ber, 2011 to September 2017 were retrospectively reviewed. All the operations were performed by the same team, which mainly approach in Da Vinci robotic system Si. The demographic characteristics, intraoperative blood loss, operative duration, post-operative hospital stay, blood transfusion details, and conversion rate were all analyzed. Results: A total of 1000 patients were included in this study, with an average age of 54.0, and 486 cases of them were male. The average operative time was 3.5 hours (2-7 h), the estimated blood loss was 100ml (20-1200 ml), and the postoperative hospital stay was 9.3 days in average. Overall complication morbidity was 7.9% (79/1000) and 6.7%(67/1000) cases suffered from grade B-C Pancreatic fistula, with the conversion rate of 3.2% and 30-Day mortality rate of 0.42%. Conclusions: Robotic pancreatectomy could be successfully performed with the assistance of da Vinci surgery system, the operative duration, post-operative hospital stay and intraoperative blood loss were satisfying, with very patients died in 30 days and very operations converted.

Deformation Analysis and Prediction of Pneumatic Probe Based on Fluid-structure Interaction

Yang Fan,Qiu Dexin,Zhao Xinwei,Sai Qingyi,Cai Xiaoshu 한국유체기계학회 2023 International journal of fluid machinery and syste Vol.16 No.1

As an essential tool for measuring flow field, pneumatic probes have gained a wide range of applications. In order to obtain the flow field parameters accurately, it is also crucial to study the deformation of the pneumatic probe structure in flow field. In this paper, the deformation of the conical probe is numerically simulated under the condition of steady incoming flow in the transonic flow field. The fluid-structure interaction and modal analysis methods are used to obtain the deformation and vibration frequency of the probe. The results show that the vibration of the probe is underdamped under the action of two-way fluid-structure interaction, and the total deformation decays exponentially, and the total deformation after stabilization is the same as the result of one-way fluid-structure interaction. For the same material probe, the total deformation changes with time in the same dimensionless expression, and the vibration frequency as well as damping factor do not change due to the variation of flow field. The accuracy of the dimensionless expressions was verified by different incoming flow conditions and the probe material. For the cases studied in this paper, the maximum total deformation, vibration frequency and damping factor of the probe in the flow field can be obtained by using one-way fluid-structure interaction, modal analysis and two-way fluid-structure interaction with a small number of cycles, respectively, so that the total deformation of the probe in the flow field can be predicted over time. The method obtained in this paper can significantly reduce the calculation time for obtaining the probe deformation data in the flow field and improve the work efficiency, which can provide a reference for the design, calibration and application of probes in engineering applications

Stem Cell-Derived Exosomes: A New Method for Reversing Skin Aging

Wu Jinyan,Wu Sai-Nan,Zhang Li-Ping,Zhao Xiansheng,Li Yue,Yang Quyang,Yuan Ruoyue,Liu Jian-Lan,Mao Hong-Ju,Zhu Ningwen 한국조직공학과 재생의학회 2022 조직공학과 재생의학 Vol.19 No.5

Senescence is an inevitable natural life process that involves structural and functional degeneration of tissues and organs. Recently, the process of skin aging has attracted much attention. Determining a means to delay or even reverse skin aging has become a research hotspot in medical cosmetology and anti-aging. Dysfunction in the epidermis and fibroblasts and changes in the composition and content of the extracellular matrix are common pathophysiological manifestations of skin aging. Reactive oxygen species and matrix metalloproteinases play essential roles in this process. Stem cells are pluripotent cells that possess self-replication abilities and can differentiate into multiple functional cells under certain conditions. These cells also possess a strong ability to facilitate tissue repair and regeneration. Stem cell transplantation has the potential for application in anti-aging therapy. Increasing studies have demonstrated that stem cells perform functions through paracrine processes, particularly those involving exosomes. Exosomes are nano-vesicular substances secreted by stem cells that participate in cell-to-cell communication by transporting their contents into target cells. In this chapter, the biological characteristics of exosomes were reviewed, including their effects on extracellular matrix formation, epidermal cell function, fibroblast function and antioxidation. Exosomes derived from stem cells may provide a new means to reverse skin aging.

COMPARATIVE ANALYSIS OF TURBULENCE MODELS FOR AUTOMOTIVE AERODYNAMIC SIMULATION AND DESIGN

Dastan Igali,Olzhas Mukhmetov,Yong Zhao,Sai Cheong Fok,Soo Lee Teh 한국자동차공학회 2019 International journal of automotive technology Vol.20 No.6

The reduction of energy consumption and environmental impacts of road vehicles is always a major design objective. Many investigations suggest that reducing aerodynamic drags such as pressure drag and skin friction drag is a more efficient method than engine modification in achieving the design objective. Turbulent flow around a bluff body is notoriously difficult to simulate accurately due to the complexity of the flow conditions around the body, such as complex flow separation and laminar to turbulent flow transition. This paper investigates the flow over a benchmark model called the Ahmed body with a slant angle of 25o, which is considered a challenging problem for RANS approach with two-equation turbulence models (Menter, 1994; Serre et al., 2013). Three popular turbulence models, such as the k-ε, k-ω and SST models are evaluated by benchmarking their predictions against experimental data and those of the latest LES solvers. The main purpose of the study is to compare the performances of these models in simulating such a category of flows. In addition, the accuracy and factors that determine the success of such simulation are discussed. Our findings, for the first time, show that with a skillfully generated mesh and proper discretization schemes, the RANS approach with the above two-equation turbulence models are capable of capturing the salient features of the highly complex flow over the Ahmed body with a slant angle of 25o. The performances are as good as the LES solvers as reported in Serre et al. (2013), if not better for time-averaged flow simulations. The SST model produces the best results among the three models studied. This study could assist designers in the automotive industry in the applications of these cost-effective tools to improve their design productivity. Future study will focus on the performances of the models in simulating time-dependent flows over the Ahmed body.

RBM24 exacerbates bladder cancer progression by forming a Runx1t1/TCF4/miR-625-5p feedback loop

Yin Yue-Wei,Liu Kai-Long,Lu Bao-Sai,Li Wei,Niu Ya-Lin,Zhao Chen-Ming,Yang Zhan,Guo Ping-Ying,Qi Jin-Chun 생화학분자생물학회 2021 Experimental and molecular medicine Vol.53 No.-

RNA–binding motif protein 24 (RBM24) acts as a multifunctional determinant of cell fate, proliferation, apoptosis, and differentiation during development by regulating premRNA splicing and mRNA stability. It is also implicated in carcinogenesis, but the functions of RBM24 in bladder cancer (BC) remain unclear. In the present study, we revealed that RBM24 was upregulated in BC tissues. Importantly, we found that a higher level of RBM24 was correlated with poor prognosis in BC patients. Overexpression of RBM24 promoted BC cell proliferation, while depletion of RBM24 inhibited BC cell proliferation in vivo and in vitro. Mechanistically, RBM24 positively regulated Runx1t1 expression in BC cells by binding to and enhancing Runx1t1 mRNA stability. Furthermore, Runx1t1 in turn promoted RBM24 expression by interacting with the transcription factor TCF4 and suppressing the transcription of miR-625-5p, which directly targets RBM24 and suppresses RBM24 expression. RBM24-regulated BC cell proliferation was moderated via the Runx1t1/TCF4/miR-625-5p feedback loop. These results indicate that the RBM24/Runx1t1/TCF4/miR-625-5p positive feedback loop participates in BC progression. Disruption of this pathway may be a potential therapeutic strategy for BC treatment.