Protocol for evaluating RNA-protein associations in mammalian cells with RIP-seq and RIP-qPCR

RNA-protein interactions drive gene regulation, subcellular organization, and noncoding RNA function. Here, we present a protocol for measuring RNA-protein associations in formaldehyde-crosslinked mammalian cells using RNA immunoprecipitation followed by sequencing (RIP-seq) and quantitative PCR (RIP-qPCR). We include steps and best practices for qualifying reagents, preparing cells, and processing and analyzing data, including a standardized set of steps to quantify signal over noise. This protocol is broadly applicable for the study of RNA-protein interactions in cells. For complete details on the use and execution of this protocol, please refer to Trotman et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-12-26
DOI
https://doi.org/10.1016/j.xpro.2025.104298
Primary Topic
RNA Research and Splicing
Type
article
Field-Weighted Citation Impact
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article

Protocol for evaluating RNA-protein associations in mammalian cells with RIP-seq and RIP-qPCR

Quinn E. Eberhard, Jackson B. Trotman, Zhiyue Zhang, J. Mauro Calabrese et al.
STAR Protocols
RNA Research and Splicing
article

Protocol for evaluating RNA-protein associations in mammalian cells with RIP-seq and RIP-qPCR

Quinn E. Eberhard, Jackson B. Trotman, Zhiyue Zhang, J. Mauro Calabrese, Shuang Li
article en

Abstract

RNA-protein interactions drive gene regulation, subcellular organization, and noncoding RNA function. Here, we present a protocol for measuring RNA-protein associations in formaldehyde-crosslinked mammalian cells using RNA immunoprecipitation followed by sequencing (RIP-seq) and quantitative PCR (RIP-qPCR). We include steps and best practices for qualifying reagents, preparing cells, and processing and analyzing data, including a standardized set of steps to quantify signal over noise. This protocol is broadly applicable for the study of RNA-protein interactions in cells. For complete details on the use and execution of this protocol, please refer to Trotman et al.<sup>1</sup>.

STAR ProtocolsVol. 7(1)
University of North Carolina at Chapel Hill (US)
Openalex Percentile: Top 36%
RNA Research and Splicing
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