Protocol for the spatiotemporal profiling of RNA within nuclear compartments in human cell lines using SLAM-RT&Tag

Measuring RNA residence time within nuclear compartments provides insight into their roles as either storage sites or transient processing hubs. This protocol describes SLAM-RT&Tag, a genomic technique that integrates RNA metabolic labeling with RT&Tag, an RNA proximity labeling method. We detail steps for RNA labeling, library preparation, and computational quantification of T-to-C conversion events to infer RNA dynamics within nuclear compartments in human cell lines. For complete details on the use and execution of this protocol, please refer to Khyzha et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-08-09
DOI
https://doi.org/10.1016/j.xpro.2025.104017
Primary Topic
RNA Research and Splicing
Type
article
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article

Protocol for the spatiotemporal profiling of RNA within nuclear compartments in human cell lines using SLAM-RT&Tag

Steven Henikoff, Nadiya Khyzha, Kami Ahmad
STAR Protocols
RNA Research and Splicing
article

Protocol for the spatiotemporal profiling of RNA within nuclear compartments in human cell lines using SLAM-RT&Tag

Steven Henikoff, Nadiya Khyzha, Kami Ahmad
article en

Abstract

Measuring RNA residence time within nuclear compartments provides insight into their roles as either storage sites or transient processing hubs. This protocol describes SLAM-RT&Tag, a genomic technique that integrates RNA metabolic labeling with RT&Tag, an RNA proximity labeling method. We detail steps for RNA labeling, library preparation, and computational quantification of T-to-C conversion events to infer RNA dynamics within nuclear compartments in human cell lines. For complete details on the use and execution of this protocol, please refer to Khyzha et al.<sup>1</sup>.

STAR ProtocolsVol. 6(3)
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), Howard Hughes Medical Institute (US), Fred Hutch Cancer Center (US)
Openalex Percentile: Top 82%
RNA Research and Splicing
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