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Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells

Protein-targeted small-molecule drugs may unintentionally bind intracellular RNA, contributing to drug toxicity. Moreover, new drugs are actively sought for intentionally targeting RNA. Here, we present a protocol to globally profile RNA-drug interactions in human cells using acylating probes and ne...

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Detalles Bibliográficos
Autores principales: Fang, Linglan, Kool, Eric T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643522/
https://www.ncbi.nlm.nih.gov/pubmed/37917579
http://dx.doi.org/10.1016/j.xpro.2023.102670
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author Fang, Linglan
Kool, Eric T.
author_facet Fang, Linglan
Kool, Eric T.
author_sort Fang, Linglan
collection PubMed
description Protein-targeted small-molecule drugs may unintentionally bind intracellular RNA, contributing to drug toxicity. Moreover, new drugs are actively sought for intentionally targeting RNA. Here, we present a protocol to globally profile RNA-drug interactions in human cells using acylating probes and next-generation sequencing. We describe steps for cell culture, target acylation, library preparation, and sequencing. Detailed bioinformatic analyses identify drug-binding RNA loci in ∼16,000 poly(A)+ human transcripts. This streamlined workflow identifies RNA-drug interactions at single-nucleotide resolution, revealing widespread transcriptome interactions of drugs. For complete details on the use and execution of this protocol, please refer to Fang et al.(1)
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spelling pubmed-106435222023-10-31 Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells Fang, Linglan Kool, Eric T. STAR Protoc Protocol Protein-targeted small-molecule drugs may unintentionally bind intracellular RNA, contributing to drug toxicity. Moreover, new drugs are actively sought for intentionally targeting RNA. Here, we present a protocol to globally profile RNA-drug interactions in human cells using acylating probes and next-generation sequencing. We describe steps for cell culture, target acylation, library preparation, and sequencing. Detailed bioinformatic analyses identify drug-binding RNA loci in ∼16,000 poly(A)+ human transcripts. This streamlined workflow identifies RNA-drug interactions at single-nucleotide resolution, revealing widespread transcriptome interactions of drugs. For complete details on the use and execution of this protocol, please refer to Fang et al.(1) Elsevier 2023-10-31 /pmc/articles/PMC10643522/ /pubmed/37917579 http://dx.doi.org/10.1016/j.xpro.2023.102670 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Fang, Linglan
Kool, Eric T.
Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title_full Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title_fullStr Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title_full_unstemmed Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title_short Reactivity-based RNA profiling for analyzing transcriptome interactions of small molecules in human cells
title_sort reactivity-based rna profiling for analyzing transcriptome interactions of small molecules in human cells
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10643522/
https://www.ncbi.nlm.nih.gov/pubmed/37917579
http://dx.doi.org/10.1016/j.xpro.2023.102670
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