Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Autor: Audrey Jacq, Denis Becquet, Maria-Montserrat Bello-Goutierrez, Bénédicte Boyer, Anne-Marie François-Bellan, Jean-Louis Franc, Séverine Guillen
Přispěvatelé: Institut de neurophysiopathologie (INP), Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS)
Rok vydání: 2021
Předmět:
Zdroj: Journal of visualized experiments : JoVE
Journal of visualized experiments : JoVE, JoVE, 2021, ⟨10.3791/62475⟩
Journal of visualized experiments : JoVE, 2021, 173, ⟨10.3791/62475⟩
ISSN: 1940-087X
Popis: International audience; The growing role attributed nowadays to long non-coding RNAs (lncRNA) in physiology and pathophysiology makes it crucial to characterize their interactome by identifying their molecular partners, DNA, proteins and/or RNAs. The latter can interact with lncRNA through networks involving proteins, but they can also be engaged in direct RNA/RNA interactions. We, therefore, developed an easy-to-use RNA pull-down procedure that allowed identification of RNAs engaged in direct RNA/RNA interaction with a lncRNA using psoralen, a molecule that cross-links only RNA/RNA interactions. Bioinformatics modeling of the lncRNA secondary structure allowed the selection of several specific antisense DNA oligonucleotide probes with a strong affinity for regions displaying a low probability of internal base pairing. Since the specific probes that were designed targeted accessible regions throughout the length of the lncRNA, the RNA-interaction zones could be delineated in the sequence of the lncRNA. When coupled with a high throughput RNA sequencing, this protocol can be used for the whole direct RNA interactome studies of a lncRNA of interest.
Databáze: OpenAIRE