2017
DOI: 10.1039/c7cc07157d
|View full text |Cite
|
Sign up to set email alerts
|

Sensing the impact of environment on small molecule differentiation of RNA sequences

Abstract: Using pattern recognition of RNA with small molecules (PRRSM) with fluorescent RNA chemosensors and aminoglycosides, we reveal the impact of changing environmental conditions on the differentiation of a range of RNA structures as well as the ability to predict different sequence/size compositions of five canonical RNA motifs.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
18
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
6
1
1

Relationship

4
4

Authors

Journals

citations
Cited by 16 publications
(18 citation statements)
references
References 37 publications
0
18
0
Order By: Relevance
“…Moreover, the applications of this method in the field of nucleic acids sensing are scarce and mainly limited to the recognition of specific sequences, in line with usual applications. [40][41][42] Herein, we describe the first fluorescence sensor array designed for secondary structure analysis of DNA samples. Our work aims at providing a proof-of-concept of the applicability of such an approach to the categorization of oligonucleotides based on their secondary structure instead of their specific identity.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the applications of this method in the field of nucleic acids sensing are scarce and mainly limited to the recognition of specific sequences, in line with usual applications. [40][41][42] Herein, we describe the first fluorescence sensor array designed for secondary structure analysis of DNA samples. Our work aims at providing a proof-of-concept of the applicability of such an approach to the categorization of oligonucleotides based on their secondary structure instead of their specific identity.…”
Section: Introductionmentioning
confidence: 99%
“…While it is possible that these rules may be RNA class‐specific, identifying the importance of factors such as: (a) RNA abundance; (b) RNA localization; (c) the availability of functional sites for binding; (d) structural rigidity; and (e) the complexity of the RNA 3D and/or quaternary structures will be crucial as researchers pursue small molecule development for the underexplored RNA classes described above. Advances in methods that enable robust characterization of RNA 3D structure, dynamics and in‐cell interactions, as well as characterization of RNA–ligand interfaces, could accelerate our understanding of these principles (Baird, Inglese, & Ferre‐D'Amare, ; Eubanks, Forte, Kapral, & Hargrove, ; Eubanks & Hargrove, ; Feng et al, ; Lu, Gong, & Zhang, ; Smola, Rice, Busan, Siegfried, & Weeks, ).…”
Section: Discussionmentioning
confidence: 99%
“…It is well known that alternative or less-populated structures may exist in the dynamic ensemble of an RNA target of interest, and that environmental factors such as temperature and salt concentrations should be considered when assessing the accuracy of the predicted RNA structure. [35][36][37] In the future, we plan on incorporating features in which these factors can be controlled, in addition to predicting the likelihood of forming more complex structures such as G-quadruplexes. In casting a wide net with the RNA Structure Search and identifying all molecules that have been reported to bind a broad set of secondary structure motifs, the promise of RNA-targeting ligands will be a possibility for many therapeutically relevant RNA structures.…”
Section: Rna Structure Search Featurementioning
confidence: 99%