Automated Author ProfileTakato, T.
Takato, T.
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: 1.0 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Background/Aims: CpG island (CGI) methylator phenotype (CIMP) is strongly associated with poor prognosis in neuroblastomas (NBLs; hazard ratios 7–22). Methylation of nonpromoter CGIs is useful to detect the presence of the CIMP, while the poor prognosis is considered to be caused by gene silencing due to promoter methylation. Here, promoter CGIs targeted by the CIMP were searched for. Methods: A genome-wide screening was performed by methylation-sensitive representational difference analysis of CIMP(+) and CIMP(–) NBLs. Results: Promoter CGIs of 9 genes were methylated in CIMP(+) NBL cell lines and caused silencing of their downstream genes. On analysis of 90 clinical specimens, CYP26C1,FERD3L (N-TWIST), CRYBA2 and PCDHGC4 were methylated at significantly higher incidences in CIMP(+) NBLs than CIMP(–) NBLs, while the difference was unclear for NPY, SPAG6, DDIT4L, CHR3SYT and C6Orf141. Methylation of CYP26C1 and FERD3L was significantly associated with poor prognosis, but weaker than the presence of the CIMP. Treatment of an NBL cell line with a demethylating agent caused demethylation of multiple promoter CGIs, and enhanced 13-cis-retinoic acid-induced neuronal differentiation. Conclusion: Our results indicate that the CIMP causes poor prognosis of NBLs by inducing methylation of multiple promoter CGIs with various incidences.
Authors
- Abe, M. ;
- Watanabe, N. ;
- McDonell, N. ;
- Takato, T. ;
- Ohira, M. ;
- Nakagawara, A. ;
- Ushijima, T.
Background/Aims: CpG island (CGI) methylator phenotype (CIMP) is strongly associated with poor prognosis in neuroblastomas (NBLs; hazard ratios 7–22). Methylation of nonpromoter CGIs is useful to detect the presence of the CIMP, while the poor prognosis is considered to be caused by gene silencing due to promoter methylation. Here, promoter CGIs targeted by the CIMP were searched for. Methods: A genome-wide screening was performed by methylation-sensitive representational difference analysis of CIMP(+) and CIMP(–) NBLs. Results: Promoter CGIs of 9 genes were methylated in CIMP(+) NBL cell lines and caused silencing of their downstream genes. On analysis of 90 clinical specimens, CYP26C1,FERD3L (N-TWIST), CRYBA2 and PCDHGC4 were methylated at significantly higher incidences in CIMP(+) NBLs than CIMP(–) NBLs, while the difference was unclear for NPY, SPAG6, DDIT4L, CHR3SYT and C6Orf141. Methylation of CYP26C1 and FERD3L was significantly associated with poor prognosis, but weaker than the presence of the CIMP. Treatment of an NBL cell line with a demethylating agent caused demethylation of multiple promoter CGIs, and enhanced 13-cis-retinoic acid-induced neuronal differentiation. Conclusion: Our results indicate that the CIMP causes poor prognosis of NBLs by inducing methylation of multiple promoter CGIs with various incidences.
Authors
- Abe, M. ;
- Watanabe, N. ;
- McDonell, N. ;
- Takato, T. ;
- Ohira, M. ;
- Nakagawara, A. ;
- Ushijima, T.