Automated Author ProfileDing, Linchao
Ding, Linchao
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: 1.9 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The identification of disease-specific alterations in miRNA expression and the ability to detect miRNAs in serum furnish the basis for identified potential research value. This study was aimed to characterize the expression of miRNAs in the serum samples from people with type 2 diabetes mellitus (T2DM) and healthy individuals in order to detect the differential expression of miRNAs in T2DM. In total, 582 participants were recruited. Microarray-based miRNA expression profiles were screened in pooled serum samples from two groups (T2DM and healthy control). The candidates’ miRNAs were validated by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Five significantly different serum miRNAs were identified in T2DM patients (hsa-miR-320d, hsa-miR-4534, hsa-miR-3960, hsa-miR-451a, and hsa-miR-572) compared to those in the serum of healthy controls. This study provided evidence that serum miRNAs had differential expressions between healthy controls and T2DM patients. These five differential expression miRNAs might be of help for subsequent study in T2DM. This research found five significant disease-special serum miRNAs (hsa-miR-320d, hsa-miR-4534, hsa-miR-3960, hsa-miR-451a, hsa-miR-572) in T2DM compared with healthy control.
Authors
- Ding, Linchao ;
- Ai, Dongdong ;
- Wu, Ruihao ;
- Zhang, Tao ;
- Jing, Li ;
- Lu, Jianxin ;
- Zhong, Lianjin
The identification of disease-specific alterations in miRNA expression and the ability to detect miRNAs in serum furnish the basis for identified potential research value. This study was aimed to characterize the expression of miRNAs in the serum samples from people with type 2 diabetes mellitus (T2DM) and healthy individuals in order to detect the differential expression of miRNAs in T2DM. In total, 582 participants were recruited. Microarray-based miRNA expression profiles were screened in pooled serum samples from two groups (T2DM and healthy control). The candidates’ miRNAs were validated by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Five significantly different serum miRNAs were identified in T2DM patients (hsa-miR-320d, hsa-miR-4534, hsa-miR-3960, hsa-miR-451a, and hsa-miR-572) compared to those in the serum of healthy controls. This study provided evidence that serum miRNAs had differential expressions between healthy controls and T2DM patients. These five differential expression miRNAs might be of help for subsequent study in T2DM.
Authors
- Ding, Linchao ;
- Ai, Dongdong ;
- Wu, Ruihao ;
- Zhang, Tao ;
- Jing, Li ;
- Lu, Jianxin ;
- Zhong, Lianjin
The identification of disease-specific alterations in miRNA expression and the ability to detect miRNAs in serum furnish the basis for identified potential research value. This study was aimed to characterize the expression of miRNAs in the serum samples from people with type 2 diabetes mellitus (T2DM) and healthy individuals in order to detect the differential expression of miRNAs in T2DM. In total, 582 participants were recruited. Microarray-based miRNA expression profiles were screened in pooled serum samples from two groups (T2DM and healthy control). The candidates’ miRNAs were validated by reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Five significantly different serum miRNAs were identified in T2DM patients (hsa-miR-320d, hsa-miR-4534, hsa-miR-3960, hsa-miR-451a, and hsa-miR-572) compared to those in the serum of healthy controls. This study provided evidence that serum miRNAs had differential expressions between healthy controls and T2DM patients. These five differential expression miRNAs might be of help for subsequent study in T2DM. This research found five significant disease-special serum miRNAs (hsa-miR-320d, hsa-miR-4534, hsa-miR-3960, hsa-miR-451a, hsa-miR-572) in T2DM compared with healthy control.
Authors
- Ding, Linchao ;
- Ai, Dongdong ;
- Wu, Ruihao ;
- Zhang, Tao ;
- Jing, Li ;
- Lu, Jianxin ;
- Zhong, Lianjin