Automated Author ProfilePompeo Marinho, Felipe
University of Pennsylvania
Pompeo Marinho, Felipe
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: 4.7 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Efficient AAV-mediated gene delivery remains a significant obstacle to effective retinal gene therapies. Here, we apply the process of directed evolution – guided by deep sequencing and followed by direct in vivo secondary selection of high-performing vectors with a GFP-barcoded library – to create AAV viral capsids with new capabilities to deliver genes to the outer retina in large animals. The resulting vectors resulted in efficient targeting of photoreceptors, bipolar cells, and RPE cells in dog retina and substantially increased efficiency of gene delivery to primate outer retina. In addition, direct comparison of gene delivery across animals revealed emergent species specificities in vector performance. These new viral vectors will enable long-term and pan-retinal gene therapies targeting outer retina cell types in large preclinical animal models and establish deep sequencing-guided directed evolution as a powerful approach for developing AAV vectors specialized for a multitude of physical barriers and cellular targets.
Authors
- Byrne, Leah ;
- Day, Timothy ;
- Visel, Meike ;
- Dalkara, Deniz ;
- Dufour, Valerie ;
- Pompeo Marinho, Felipe ;
- Merigan, William ;
- Aguirre, Gustavo ;
- Beltran, William ;
- Schaffer, David ;
- Flannery, John