Automated Author ProfileKnowlson, Catherine
Knowlson, Catherine
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: 0.6 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Summary
This metadata record provides details of the data supporting the claims of the related manuscript: “Targeting nucleotide metabolism enhances the efficacy of anthracyclines and anti-metabolites in triple-negative breast cancer”. The related study sought to identify and characterise new therapeutic opportunities to enhance current standard of care (SoC) chemotherapies that incorporate anthracyclines and anti-metabolite 5-Fluorouracil (5-FU) in triple-negative breast cancer (TNBC) through further modulation of pyrimidine and uracil nucleotide metabolism pathways, hypothesising that this could be achieved through inhibition of the gatekeeper enzyme, deoxyuridine 5’-triphosphate nucleotidohydrolase (dUTPase), as this enzyme functions to prevent uracil misincorporation into DNA. Type of data: cell survival, growth inhibition, DNA damage analysis, apoptosis, nucleotide pool and in vivo data, Western Blot images Subject of data: MDA-MB-231 (human, ATCC HTB-26), MDA-MB-468 (human, ATCC HTB-132); Female Balb/c mice; 4-6 weeks old; purchased from Envigo. Sample size: Groups of 5-6 mice for control and experimental conditions were used. Power calculations were used to determine sample size.
Data access All the data underlying figures 1-8 of the related article, including cell survival, growth inhibition, DNA damage analysis, apoptosis, nucleotide pool and in vivo data, along with data underlying supplementary figures 1, 2, 3, 4, 5, 7, 8 and Western Blot images for supplementary figure 1a-b, are openly available as part of this figshare data record. Data files are named in-line with the figure they underlie, and each may contain multiple tabs for the sub-figures. Corresponding author(s) for this study Melissa J LaBonte, Medicine, Dentistry and Biomedical Sciences: Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, Belfast, BT9 7AE, UK. el: +44 2890972789; Email: [email protected].
Study approval The mouse work was performed under an approved UK project license and approved by the institutional Queen's University Belfast Animal Welfare Ethical Review Body (AWERB).
Authors
- Davison, Craig ;
- Morelli, Roisin ;
- Knowlson, Catherine ;
- McKechnie, Melanie ;
- Carson, Robbie ;
- Stachea, Xanthi ;
- McLaughlin, Kylie A ;
- Prise, Vivien E ;
- Kienan Savage ;
- Wilson, Richard H ;
- Mulligan, Karl A ;
- Wilson, Peter M ;
- Ladner, Robert D ;
- LaBonte, Melissa J
Summary
This metadata record provides details of the data supporting the claims of the related manuscript: “Targeting nucleotide metabolism enhances the efficacy of anthracyclines and anti-metabolites in triple-negative breast cancer”. The related study sought to identify and characterise new therapeutic opportunities to enhance current standard of care (SoC) chemotherapies that incorporate anthracyclines and anti-metabolite 5-Fluorouracil (5-FU) in triple-negative breast cancer (TNBC) through further modulation of pyrimidine and uracil nucleotide metabolism pathways, hypothesising that this could be achieved through inhibition of the gatekeeper enzyme, deoxyuridine 5’-triphosphate nucleotidohydrolase (dUTPase), as this enzyme functions to prevent uracil misincorporation into DNA. Type of data: cell survival, growth inhibition, DNA damage analysis, apoptosis, nucleotide pool and in vivo data, Western Blot images Subject of data: MDA-MB-231 (human, ATCC HTB-26), MDA-MB-468 (human, ATCC HTB-132); Female Balb/c mice; 4-6 weeks old; purchased from Envigo. Sample size: Groups of 5-6 mice for control and experimental conditions were used. Power calculations were used to determine sample size.
Data access All the data underlying figures 1-8 of the related article, including cell survival, growth inhibition, DNA damage analysis, apoptosis, nucleotide pool and in vivo data, along with data underlying supplementary figures 1, 2, 3, 4, 5, 7, 8 and Western Blot images for supplementary figure 1a-b, are openly available as part of this figshare data record. Data files are named in-line with the figure they underlie, and each may contain multiple tabs for the sub-figures. Corresponding author(s) for this study Melissa J LaBonte, Medicine, Dentistry and Biomedical Sciences: Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast, Belfast, BT9 7AE, UK. el: +44 2890972789; Email: [email protected].
Study approval The mouse work was performed under an approved UK project license and approved by the institutional Queen's University Belfast Animal Welfare Ethical Review Body (AWERB).
Authors
- Davison, Craig ;
- Morelli, Roisin ;
- Knowlson, Catherine ;
- McKechnie, Melanie ;
- Carson, Robbie ;
- Stachea, Xanthi ;
- McLaughlin, Kylie A ;
- Prise, Vivien E ;
- Kienan Savage ;
- Wilson, Richard H ;
- Mulligan, Karl A ;
- Wilson, Peter M ;
- Ladner, Robert D ;
- LaBonte, Melissa J