Automated Author ProfileDr Christopher Morris
Dr Christopher Morris
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: 0.7 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Melanosomes are cell-secreted vesicles carrying melanin to keratinocytes. Being inherently designed to target skin cells, they are interesting candidates for the development of melanosomes-based nanovectors for the treatment of skin-related diseases, such as psoriasis, skin cancer and genetic skin diseases. In this framework, we are recently working on melanosome-derived vesicles, which have shown promising ability to transfect RNA to keratinocytes. With this SANS proposal we aim at (i) improving the structural and physicochemical characterization of these hybrid systems, (ii) structurally characterize RNA binding ability of melanosomes-based vectors (iii) determine the mechanism of interaction of melanosomes-derived hybrid vesicles with bio-relevant interfaces, i.e., lipid vesicles mimicking the composition of keratinocytes. Overall, the results of the study will contribute at improving the fundamental knowledge on melanosomes, thus fostering their application in RNA delivery and, more in general in the biomedical field.
Authors
- Dr Costanza Montis ;
- Dr Christopher Morris ;
- Miss Yang Yajie ;
- Dr Najet Mahmoudi ;
- Professor Debora Berti ;
- Ms Valentina Pacciani ;
- Dr Lucrezia Caselli ;
- Dr Arianna Balestri ;
- Miss Deborah Bonavolontà ;
- Miss Xinyun Qiu
Melanosomes are cell-secreted vesicles carrying melanin to keratinocytes. Being inherently designed to target skin cells, they are interesting candidates for the development of melanosomes-based nanovectors for the treatment of skin-related diseases, such as psoriasis, skin cancer and genetic skin diseases. In this framework, we are recently working on melanosome-derived vesicles, which have shown promising ability to transfect RNA to keratinocytes. With this SANS proposal we aim at (i) improving the structural and physicochemical characterization of these hybrid systems, (ii) structurally characterize RNA binding ability of melanosomes-based vectors (iii) determine the mechanism of interaction of melanosomes-derived hybrid vesicles with bio-relevant interfaces, i.e., lipid vesicles mimicking the composition of keratinocytes. Overall, the results of the study will contribute at improving the fundamental knowledge on melanosomes, thus fostering their application in RNA delivery and, more in general in the biomedical field.
Authors
- Dr Costanza Montis ;
- Dr Christopher Morris ;
- Miss Yang Yajie ;
- Dr Najet Mahmoudi ;
- Professor Debora Berti ;
- Ms Valentina Pacciani ;
- Dr Lucrezia Caselli ;
- Dr Arianna Balestri ;
- Miss Deborah Bonavolontà ;
- Miss Xinyun Qiu