Automated Author ProfileReinhardt, Maren
Reinhardt, Maren
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
Alternative splicing is a very important mechanism to diversify an organism’s transcriptome with minimal increases in genome size. It can modify the function of the finished protein or affect its regulation, e.g. induce nonsense-mediated decay (NMD) to degrade the transcript. Mechanisms that affect alternative splicing are therefore of great interest. It has been shown that splicing can be affected by RNA secondary structures within pre-mRNAs. These structured regions of RNA (strucRNA) would affect their transcript in cis, but only a few such cases are known in plants. In this study, we interrogate plant genomes for cis-regulatory strucRNAs. By applying a comparative-genomics-based approach to 130 plant genomes, we identified 16 strucRNA candidates. Five candidates likely regulate in cis using alternative splicing and NMD. Other predictions might not regulate alternative splicing, including four putative small nucleolar RNAs (snoRNAs). Of our five cis-regulatory strucRNAs that are implicated in alternative splicing control, two are now experimentally validated in follow-up studies. These results stand in contrast to the few previously validated examples. Although we were able to predict some strucRNAs, all motifs had generally modest levels of covariation, which is a pattern of mutations that indicates a conserved secondary structure. With few mutations, comparative-genomics-based approaches to find strucRNAs are less effective. Other approaches of finding regulatory RNAs in plants might thus be needed, and more available genomic or transcriptomic data might improve the quality and quantity of promising candidates.
Authors
- Sack, Maximilian ;
- Reinhardt, Maren ;
- Burgardt, Rica ;
- Berg, Philipp ;
- Bauer, Julia ;
- Wachter, Andreas ;
- Weinberg, Zasha
Alternative splicing is a very important mechanism to diversify an organism’s transcriptome with minimal increases in genome size. It can modify the function of the finished protein or affect its regulation, e.g. induce nonsense-mediated decay (NMD) to degrade the transcript. Mechanisms that affect alternative splicing are therefore of great interest. It has been shown that splicing can be affected by RNA secondary structures within pre-mRNAs. These structured regions of RNA (strucRNA) would affect their transcript in cis, but only a few such cases are known in plants. In this study, we interrogate plant genomes for cis-regulatory strucRNAs. By applying a comparative-genomics-based approach to 130 plant genomes, we identified 16 strucRNA candidates. Five candidates likely regulate in cis using alternative splicing and NMD. Other predictions might not regulate alternative splicing, including four putative small nucleolar RNAs (snoRNAs). Of our five cis-regulatory strucRNAs that are implicated in alternative splicing control, two are now experimentally validated in follow-up studies. These results stand in contrast to the few previously validated examples. Although we were able to predict some strucRNAs, all motifs had generally modest levels of covariation, which is a pattern of mutations that indicates a conserved secondary structure. With few mutations, comparative-genomics-based approaches to find strucRNAs are less effective. Other approaches of finding regulatory RNAs in plants might thus be needed, and more available genomic or transcriptomic data might improve the quality and quantity of promising candidates.
Authors
- Sack, Maximilian ;
- Reinhardt, Maren ;
- Burgardt, Rica ;
- Berg, Philipp ;
- Bauer, Julia ;
- Wachter, Andreas ;
- Weinberg, Zasha