Generation of a genetically modified pig model with <scp> CREBRF <sup>R457Q</sup> </scp> variant-Reference-Cited by-同舟云学术

Generation of a genetically modified pig model with CREBRF ^R457Q variant

Published:2022-10-17 Issue:11 Volume:36 Page:
ISSN:0892-6638
Container-title:The FASEB Journal
language:en
Short-container-title:The FASEB Journal

Author:

Li Yingying¹²³⁴⁵,Wang Hai¹³⁴⁵,Chen Huangyao¹³⁴⁵,Liao Yuan¹⁶,Gou Shixue¹³⁴⁵,Yan Quanmei¹,Zhuang Zhenpeng¹³⁴⁵,Li Hao¹³⁴⁵,Wang Jiaowei¹³⁴⁵,Suo Yangyang¹³⁴⁵,Lan Ting¹³⁴⁵,Liu Yang¹³⁴⁵,Zhao Yu¹³⁴⁵,Zou Qingjian⁷,Nie Tao¹,Hui Xiaoyan⁸,Lai Liangxue¹³⁴⁵⁷,Wu Donghai¹⁵,Fan Nana¹³⁴⁵

Affiliation:

1. CAS Key Laboratory of Regenerative Biology, GIBH‐HKU Guangdong‐Hong Kong Stem Cell and Regenerative Medicine Research Centre Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences Guangzhou China

2. University of Chinese Academy of Sciences Beijing China

3. Sanya Institute of Swine Resource, Hainan Provincial Research Centre of Laboratory Animals Sanya China

4. Research Unit of Generation of Large Animal Disease Models Chinese Academy of Medical Sciences (2019RU015) Guangzhou China

5. Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory) Guangzhou China

6. Institute of Physical Science and Information Technology Anhui University Hefei China

7. Guangdong Provincial Key Laboratory of Large Animal Models for Biomedicine Wuyi University Jiangmen China

8. School of Biomedical Sciences the Chinese University of Hong Kong Hong Kong SAR

Funder

Science and Technology Planning Project of Guangdong Province

National Key Research and Development Program of China Stem Cell and Translational Research

Chinese Academy of Sciences

Guangzhou Regenerative Medicine and Health Guangdong Laboratory

Chinese Academy of Medical Sciences

Publisher

Wiley

Subject

Genetics,Molecular Biology,Biochemistry,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1096/fj.202201117

Reference71 articles.

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5. Predictive Supervised Machine Learning Models for Diabetes Mellitus

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