Automated Author ProfileShelton, Tara
Agriculture and Agri-Food Canada
Shelton, Tara
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: 3.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The gut microbiota of mammals possess unique metabolic pathways with untapped therapeutic potential. Using molecular insights into dietary fiber metabolism by the human gut microbiota, we designed a targeted drug delivery system based on bespoke glycoconjugates of a complex plant oligosaccharide called GlycoCaging. GlycoCaging of exemplar anti-inflammatory drugs enabled the release of active molecules triggered by unique glycosidases of autochthonous gut bacteria. GlycoCaging ensured drug efficacy was potentiated, and off-target effects were eliminated in murine models of inflammatory bowel disease. Biochemical and metagenomic analyses of gut microbiota of individual humans confirmed the broad applicability of this strategy.
Authors
- Ma, Wei Jen ;
- Wang, Changqing ;
- Kothandapani, Jagatheeswaran ;
- Luzentales-Simpson, Matthew ;
- Menzies, Susan ;
- Bescucci, Danisa ;
- Lange, Máximo ;
- Fraser, Alexander ;
- Gusse, Jenny ;
- House, Kathaleen ;
- Moote, Paul ;
- Xing, Xiaohui ;
- Grondin, Julie ;
- Hui, Benjamin Wei Qiang ;
- Clarke, Sandra ;
- Shelton, Tara ;
- Haskey, Natasha ;
- Gibson, Deanna ;
- Martens, Eric ;
- Abbott, Wade ;
- Inglis, G. Douglas ;
- Sly, Laura ;
- Brumer, Harry
<b>Abstract</b><br/><p>The gut microbiota of mammals possess unique metabolic pathways with untapped therapeutic potential. Using molecular insights into dietary fiber metabolism by the human gut microbiota, we designed a targeted drug delivery system based on bespoke glycoconjugates of a complex plant oligosaccharide called GlycoCaging. GlycoCaging of exemplar anti-inflammatory drugs enabled the release of active molecules triggered by unique glycosidases of autochthonous gut bacteria. GlycoCaging ensured drug efficacy was potentiated, and off-target effects were eliminated in murine models of inflammatory bowel disease. Biochemical and metagenomic analyses of gut microbiota of individual humans confirmed the broad applicability of this strategy.</p>
Authors
- Ma, Wei Jen ;
- Wang, Changqing ;
- Kothandapani, Jagatheeswaran ;
- Luzentales-Simpson, Matthew ;
- Menzies, Susan ;
- Bescucci, Danisa ;
- Lange, Máximo ;
- Fraser, Alexander ;
- Gusse, Jenny ;
- House, Kathaleen ;
- Moote, Paul ;
- Xing, Xiaohui ;
- Grondin, Julie ;
- Hui, Benjamin Wei Qiang ;
- Clarke, Sandra ;
- Shelton, Tara ;
- Haskey, Natasha ;
- Gibson, Deanna ;
- Martens, Eric ;
- Abbott, Wade ;
- Inglis, G. Douglas ;
- Sly, Laura ;
- Brumer, Harry