Nature Biotechnology | 魏文胜课题组报道新型线粒体碱基编辑器 – 生物通
2023年5月22日，北京大学生物医学前沿创新中心（BIOPIC)魏文胜课题组在Nature Biotechnology杂志在线发表题为 Strand-selective base editing of human mitochondrial DNA using mitoBEs的研究论文，报道了一种名为mitoBEs的全新线粒体单碱基编辑工具，该工具不依赖于DddA系统
Related Articles
Borderlands 3 community scores a big win for science: ‘These players have helped trace the evolutionary relationships of more than a million different kinds of bacteria that live in the human gut’
Launched in 2020, the Borderlands Science project was a major success.
Millions Of Borderlands 3 Players Have Helped Microbiome Research
4.5 million gamers played the Borderlands Science mini-game that helped researchers solve the genetic code of bacteria in the human microbiome.
Deep learning tool may advance precision medicine approaches
The deep learning-based Lifelong Neural Network for Gene Regulation tool may shed light on how genetic variations influence a patient’s drug response.
How the global gaming community is helping to solve biomedical challenges – Physics World
Exploiting the efforts of millions of gamers has helped advance our knowledge of the human microbiome
Nature Awards Microbiome Accelerator
Nature Awards Microbiome Accelerator – Translating science from lab to impact.
Clemson researchers pave the way for precision medicine with AI
Two people are prescribed the same drug to treat the same ailment. It works for one but not the other. Researchers are studying the genetic…
Pooled multicolour tagging for visualizing subcellular protein dynamics
Nature Cell Biology – Reicher, Reiniš et al. report a method for multicolour tagging using genome-scale intron-targeting sgRNA libraries that, in combination with computer vision,…
Millions of Borderlands 3 Players Are Now Collectively Listed as Contributors to a Peer Reviewed Scientific Paper – IGN
Millions of Borderlands 3 players are now collectively listed as contributors to a peer reviewed scientific paper, after participating in a minigame that helped provide…
Computational scoring and experimental evaluation of enzymes generated by neural networks
Nature Biotechnology – Metrics that predict the success of folding and the activity of designed protein sequences are developed and experimentally validated.