Sequence-specific recognition of structured RNA by triplex-forming peptide nucleic acids.
Base Sequence
Binding Sites
Chromatography, High Pressure Liquid
/ methods
Colorimetry
/ methods
Drug Design
Nucleic Acid Conformation
/ drug effects
Peptide Nucleic Acids
/ chemistry
RNA, Double-Stranded
/ chemistry
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
/ methods
Spectrophotometry, Ultraviolet
/ methods
ITC
Isothermal titration calorimetry
Modified nucleobases
PNA
Peptide nucleic acid
Sequence selective RNA recognition
Triple helix
Journal
Methods in enzymology
ISSN: 1557-7988
Titre abrégé: Methods Enzymol
Pays: United States
ID NLM: 0212271
Informations de publication
Date de publication:
2019
2019
Historique:
entrez:
27
6
2019
pubmed:
27
6
2019
medline:
20
5
2020
Statut:
ppublish
Résumé
While <2% of DNA encodes for functional proteins, >70% is transcribed into RNA. Although the function of most RNA transcripts is unknown, such non-coding RNAs are attractive targets for molecular recognition because of the potentially important roles they play in regulation of gene expression and development of disease. In this chapter, we describe peptide nucleic acids (PNAs) that form sequence-specific triple helices with double-stranded RNA (dsRNA). We provide protocols for sequence design and biophysical characterization of PNAs and discuss first examples where such PNAs have been used for functional modulation of dsRNA. The triplex-forming PNAs represent a new approach for RNA recognition that may find future applications in fundamental science, biotechnology and medicine.
Identifiants
pubmed: 31239055
pii: S0076-6879(19)30118-1
doi: 10.1016/bs.mie.2019.04.003
pmc: PMC9805549
mid: NIHMS1861328
pii:
doi:
Substances chimiques
Peptide Nucleic Acids
0
RNA, Double-Stranded
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
401-416Subventions
Organisme : NIGMS NIH HHS
ID : R35 GM130207
Pays : United States
Informations de copyright
© 2019 Elsevier Inc. All rights reserved.
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