Automated Author ProfileLaporte, Emma
Laporte, Emma
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: 3.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The pituitary represents the master gland governing the endocrine system. We constructed a single-cell (sc) transcriptomic atlas of male mouse endocrine pituitary by incorporating existing and new data, spanning important postnatal ages in both healthy and injured condition. We demonstrate strong applicability of this new atlas to unravel pituitary (patho)biology by focusing on its stem cells and investigating their complex identity (unveiling stem cell markers) and niche (pinpointing regulatory factors). Importantly, we functionally validated transcriptomic findings using pituitary stem cell organoids, revealing roles for Krüppel-like transcription factor 5 (KLF5), activator protein-1 (AP-1) complex and epidermal growth factor (EGF) pathways in pituitary stem cell regulation. Our investigation substantiated changes in stem cell dynamics during aging, reinforcing the inflammatory/immune nature in elderly pituitary and stem cells. Finally, we show translatability of mouse atlas-based findings to humans, particularly regarding aging-associated profile. This pituitary sc map is a valuable tool to unravel pituitary (patho)biology.
Authors
- De Vriendt, Silke ;
- Laporte, Emma ;
- Abaylı, Berkehür ;
- Hoekx, Julie ;
- Hermans, Florian ;
- Lambrechts, Diether ;
- Vankelecom, Hugo
The pituitary represents the master gland governing the endocrine system. We constructed a single-cell (sc) transcriptomic atlas of male mouse endocrine pituitary by incorporating existing and new data, spanning important postnatal ages in both healthy and injured condition. We demonstrate strong applicability of this new atlas to unravel pituitary (patho)biology by focusing on its stem cells and investigating their complex identity (unveiling stem cell markers) and niche (pinpointing regulatory factors). Importantly, we functionally validated transcriptomic findings using pituitary stem cell organoids, revealing roles for Krüppel-like transcription factor 5 (KLF5), activator protein-1 (AP-1) complex and epidermal growth factor (EGF) pathways in pituitary stem cell regulation. Our investigation substantiated changes in stem cell dynamics during aging, reinforcing the inflammatory/immune nature in elderly pituitary and stem cells. Finally, we show translatability of mouse atlas-based findings to humans, particularly regarding aging-associated profile. This pituitary sc map is a valuable tool to unravel pituitary (patho)biology.
Authors
- De Vriendt, Silke ;
- Laporte, Emma ;
- Abaylı, Berkehür ;
- Hoekx, Julie ;
- Hermans, Florian ;
- Lambrechts, Diether ;
- Vankelecom, Hugo