|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Rapid breeding of pink-fruited tomato hybrids using the CRISPR/Cas9 system显示文摘As one of the most important vegetables,tomato (Solanum lycopersicum) is extensively produced and consumed worldwide and substantially contributes to human nutrition and health (The Tomato Genome Consortium,2012).Although red tomatoes are the most common,pink tomatoes are more popular in Asia,particularly in China and Japan,because of their better taste (Ballester et al.,2010;Zhu et al.,2018).Compared with red tomatoes,pink tomatoes fail to accumulate the yellow-colored flavonoid pigment,naringenin chalcone (NarCh),in their peels,resulting in a colorless peel phenotype (Adato et al,2009;Ballester et al.,2010). | Tianxia Yang Lei Deng Wei Zhao Ruoxi Zhang Hongling Jiang Zhibiao Ye Chang-Bao Li Chuanyou Li | 2019 | Journal of Genetics and Genomics2019，46，10： | 8 |
| 2 | Method for the extraction of circulating nucleic acids based on MOF reveals cell-free RNA signatures in liver cancer显示文摘Cell-free RNA(cf RNA) allows assessment of health, status, and phenotype of a variety of human organs and is a potential biomarker to non-invasively diagnose numerous diseases. Nevertheless, there is a lack of highly efficient and bias-free cf RNA isolation technologies due to the low abundance and instability of cf RNA.Here, we developed a reproducible and high-efficiency isolation technology for different types of cell-free nucleic acids(containing cf RNA and viral RNA) in serum/plasma based on the inclusion of nucleic acids by metal-organic framework(MOF) materials, which greatly improved the isolation efficiency and was able to preserve RNA integrity compared with the most widely used research kit method. Importantly, the quality of cf RNA extracted by the MOF method is about 10-fold that of the kit method, and the MOF method isolates more than three times as many different RNA types as the kit method. The whole transcriptome mapping characteristics of cf RNA in serum from patients with liver cancer was described and a cf RNA signature with six cf RNAs was identified to diagnose liver cancer with high diagnostic efficiency(area under curve = 0.905 in the independent validation cohort) using this MOF method. Thus, this new MOF isolation technique will advance the field of liquid biopsy, with the potential to diagnose liver cancer. | Yuqing Sun Haixin Yu Shaoqing Han Ruoxi Ran Ying Yang Yongling Tang Yuhao Wang Wenhao Zhang Heng Tang Boqiao Fu Boshi Fu Xiaocheng Weng Song-Mei Liu Hexiang Deng Shuang Peng Xiang Zhou | 2024 | National Science Review2024，11，1： | 0 |
| 3 | CPSF4 promotes triple negative breast cancer metastasis by upregulating MDM4显示文摘Dear Editor,Breast cancer(BrC)is the most common cancer in women.Triple negative BrC(TNBC)is the subtype with highly aggressive clinical behaviors and heterogeneity.Metastasis is the leading cause of TNBC-related deaths,but its mechanism is not well-understood.Apart from PIK3CA,TP53,and PTEN,few recurrent mutations have been identified in TNBC so far,suggesting that TNBC phenotype could be driven by nongenetic alterations such as aberrant expression of oncogenes. | Kaping Lee Qiufan Zheng Qianyi Lu Fei Xu Ge Qin Qinglian Zhai Ruoxi Hong Miao Chen Wuguo Deng Shusen Wang | 2021 | Signal Transduction and Targeted Therapy2021，6，6： | 0 |
| 4 | Boosting Whale Optimizer with Quasi-Oppositional Learning and Gaussian Barebone for Feature Selection and COVID-19 Image Segmentation显示文摘Whale optimization algorithm(WOA)tends to fall into the local optimum and fails to converge quickly in solving complex problems.To address the shortcomings,an improved WOA(QGBWOA)is proposed in this work.First,quasi-opposition-based learning is introduced to enhance the ability of WOA to search for optimal solutions.Second,a Gaussian barebone mechanism is embedded to promote diversity and expand the scope of the solution space in WOA.To verify the advantages of QGBWOA,comparison experiments between QGBWOA and its comparison peers were carried out on CEC 2014 with dimensions 10,30,50,and 100 and on CEC 2020 test with dimension 30.Furthermore,the performance results were tested using Wilcoxon signed-rank(WS),Friedman test,and post hoc statistical tests for statistical analysis.Convergence accuracy and speed are remarkably improved,as shown by experimental results.Finally,feature selection and multi-threshold image segmentation applications are demonstrated to validate the ability of QGBWOA to solve complex real-world problems.QGBWOA proves its superiority over compared algorithms in feature selection and multi-threshold image segmentation by performing several evaluation metrics. | Jie Xing Hanli Zhao Huiling Chen Ruoxi Deng Lei Xiao | 2023 | Journal of Bionic Engineering2023，20，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员