WeChat Mini Program
Old Version Features

髓细胞条件性METTL3基因敲除小鼠的构建与鉴定

Journal of Zhengzhou University(Medical Sciences)(2022)

Cited 0|Views14
Abstract
目的:构建髓细胞条件性METTL3基因敲除小鼠模型.方法:将Lyz2-cre(+/+)雌性小鼠与MET-TL3(flox/flox)雄性小鼠杂交,得到METTL3(flox/-)Lyz2-cre(+/-)杂合子小鼠,该杂合子小鼠自交,得到METTL3(flox/flox)Lyz2-cre(+/+)小鼠.提取小鼠鼠尾组织DNA,经PCR扩增、琼脂糖凝胶电泳和DNA序列测定,在DNA水平判断小鼠基因型;提取小鼠骨髓细胞RNA,利用RT-PCR法检验METTL3的敲除效率;利用成像流式细胞仪在蛋白水平分析髓细胞中METTL3的敲除效率.结果 与结论:在DNA、RNA和蛋白水平分别验证了髓细胞条件性METTL3基因敲除小鼠模型构建成功,该小鼠存活并且可育,为研究METTL3在髓源抑制性细胞功能中的作用提供了研究平台.
More
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