WeChat Mini Program
Old Version Features

AcMNPV bro基因的表达和作用研究

Journal of Fudan University(Natural Science)(2016)

Cited 2|Views3
Abstract
bro基因(baculovirus repeated orf)是杆状病毒编码的一个独特的基因家族,一些病毒的基因组中编码有多个该基因家族的成员.研究分析了苜蓿银纹夜蛾核型多角体病毒(AcMNPV)基因组仅有的一个bro基因,结果表明:AcMNPV bro基因(ac-bro)在感染后6h就开始转录,并在8h时检测到BRO表达;ac-bro基因敲除的重组病毒感染后子代病毒的效价略低于野生型病毒,且其DNA复制明显推迟.利用大肠杆菌中重组表达的Ac-BRO蛋白进行的体外实验提示其具有结合DNA的能力.这些结果提示ac-bro基因在病毒的复制中有一定的作用.
More
Key words
baculovirus,bro,DNA binding,gene knockout
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined