4.7 Article

Genetic engineering a large animal model of human hypophosphatasia in sheep

期刊

SCIENTIFIC REPORTS
卷 8, 期 -, 页码 -

出版社

NATURE RESEARCH
DOI: 10.1038/s41598-018-35079-y

关键词

-

资金

  1. American Physiological Society Porter Fellowship
  2. Texas A& M College of Veterinary Medicine Core Center for Organ Biotechnology Innovation Kitchen grant
  3. NIH [R21DE028076]
  4. Texas A M University
  5. NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES [R00AR066110] Funding Source: NIH RePORTER
  6. NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH [R21DE028076] Funding Source: NIH RePORTER

向作者/读者索取更多资源

The availability of tools to accurately replicate the clinical phenotype of rare human diseases is a key step toward improved understanding of disease progression and the development of more effective therapeutics. We successfully generated the first large animal model of a rare human bone disease, hypophosphatasia (HPP) using CRISPR/Cas9 to introduce a single point mutation in the tissue nonspecific alkaline phosphatase (TNSALP) gene (ALPL) (1077 C > G) in sheep. HPP is a rare inherited disorder of mineral metabolism that affects bone and tooth development, and is associated with muscle weakness. Compared to wild-type (WT) controls, HPP sheep have reduced serum alkaline phosphatase activity, decreased tail vertebral bone size, and metaphyseal flaring, consistent with the mineralization deficits observed in human HPP patients. Computed tomography revealed short roots and thin dentin in incisors, and reduced mandibular bone in HPP vs. WT sheep, accurately replicating odonto-HPP. Skeletal muscle biopsies revealed aberrant fiber size and disorganized mitochondrial cristae structure in HPP vs. WT sheep. These genetically engineered sheep accurately phenocopy human HPP and provide a novel large animal platform for the longitudinal study of HPP progression, as well as other rare human bone diseases.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据