Automated Author Profile赵, 小莹
赵, 小莹
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
CRISPR基因编辑是通过使用内源DNA修复机制修复Cas9引入的双链断裂（DSB）来完成的。尽管对于给定的CRISPR指导RNA（gRNA），DSB修复的结果是可预测的，但在不同的靶位点之间它是不同的。在这里，我们报道了由Cas9和一对gRNA引入的缺失连接是可预测的发现。我们研究了在三个人类细胞系中靶向四基因（TTR，CREB1，STAT2和IRF9）的8对gRNA的修复连接。使用Sanger和二代测序和ICE分析，我们发现缺失连接主要由非同源平末端连接（NHBEJ）修复。我们进一步评估了24个CRISPR缺失接头的插入缺失谱，以证实这一观察结果，并进一步证明了CRISPR对之间的PAM方向和距离对NHBEJ结果有轻微影响。基于这些观察结果，我们应用NHBEJ策略引入了高度精确且可预测的基因敲除和DMD外显子51的框内缺失，为杜兴氏肌营养不良症和许多其他人类疾病的CRISPR基因治疗提供了一种新颖的替代治疗策略。
Authors
- 赵, 小莹