↓ Skip to main content

Direct 13C-detected NMR experiments for mapping and characterization of hydrogen bonds in RNA

Overview of attention for article published in Journal of Biomolecular NMR, February 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
44 Mendeley
Title
Direct 13C-detected NMR experiments for mapping and characterization of hydrogen bonds in RNA
Published in
Journal of Biomolecular NMR, February 2016
DOI 10.1007/s10858-016-0021-5
Pubmed ID
Authors

Boris Fürtig, Robbin Schnieders, Christian Richter, Heidi Zetzsche, Sara Keyhani, Christina Helmling, Helena Kovacs, Harald Schwalbe

Abstract

In RNA secondary structure determination, it is essential to determine whether a nucleotide is base-paired and not. Base-pairing of nucleotides is mediated by hydrogen bonds. The NMR characterization of hydrogen bonds relies on experiments correlating the NMR resonances of exchangeable protons and can be best performed for structured parts of the RNA, where labile hydrogen atoms are protected from solvent exchange. Functionally important regions in RNA, however, frequently reveal increased dynamic disorder which often leads to NMR signals of exchangeable protons that are broadened beyond (1)H detection. Here, we develop (13)C direct detected experiments to observe all nucleotides in RNA irrespective of whether they are involved in hydrogen bonds or not. Exploiting the self-decoupling of scalar couplings due to the exchange process, the hydrogen bonding behavior of the hydrogen bond donor of each individual nucleotide can be determined. Furthermore, the adaption of HNN-COSY experiments for (13)C direct detection allows correlations of donor-acceptor pairs and the localization of hydrogen-bond acceptor nucleotides. The proposed (13)C direct detected experiments therefore provide information about molecular sites not amenable by conventional proton-detected methods. Such information makes the RNA secondary structure determination by NMR more accurate and helps to validate secondary structure predictions based on bioinformatics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 23%
Student > Bachelor 9 20%
Student > Master 7 16%
Professor 4 9%
Researcher 3 7%
Other 4 9%
Unknown 7 16%
Readers by discipline Count As %
Chemistry 22 50%
Biochemistry, Genetics and Molecular Biology 10 23%
Agricultural and Biological Sciences 3 7%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Unknown 8 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2016.
All research outputs
#17,784,649
of 22,844,985 outputs
Outputs from Journal of Biomolecular NMR
#444
of 614 outputs
Outputs of similar age
#270,918
of 397,355 outputs
Outputs of similar age from Journal of Biomolecular NMR
#6
of 10 outputs
Altmetric has tracked 22,844,985 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,355 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.