A team led by the Hong Kong University of Science and Technology (HKUST) has developed a technique to study how different fish species interact with each other in a coastal region, a breakthrough that helps explain the complex relationships among marine species and how global warming impacts fish populations.
By analyzing minute traces of fish DNA from samples of seawater, the team combined the use of environmental DNA – known as eDNA – and advanced statistical analysis to not only detect the presence of fish species, but also reveal how the species interact with each other. Read More...
Japanese black seabream, one of the fish species in the study
Photo credit: Reiji Masuda
香港科技大学（科大）领导的国际研究团队最近开发了一套人工智能模型，利用遗传信息，可在出现病征之前预测罹患阿尔兹海默症的风险。这项突破性研究为使用深度学习方法来预测疾病风险和揭示其分子机制开辟了道路。这将革新阿尔兹海默症及其他常见疾病如心血管疾病的诊断、干预、治疗和临床研究。
为了研究并彻底验证新发现的非经典切割机制，香港科技大学（科大）研究团队在生命科学部助理教授阮俊英（Tuan Anh Nguyen）教授的带领下，采用了多种尖端技术，如miRNA测序、pri-miRNA结构分析以及大约26万个pri-miRNA的高通量切割实验。与经典机制不同的是，非经典机制不依赖于经典机制所需的几个关键蛋白和RNA特征序列。