A protocol for in vivo RNA labeling and visualization in tobacco pollen tubes

Here, we present a protocol for labeling and live visualization of RNA-protein complexes in the form of ribonucleoprotein particles (RNPs) in tobacco pollen tubes. We describe steps for constructing RNA-pp7/MS2 tag and biolistic gene-gun-mediated pollen transformation. We then provide detailed procedures for RNA labeling using PP7 aptamer nascent RNA tagging and a fluorescently labeled Pseudomonas aeruginosa PP7 bacteriophage coat protein (PCP) reporter that binds to PP7 RNA stem loops. This protocol is adaptable to other cell types by employing tissue-specific promoters.

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Publication Details

Journal
STAR Protocols
Published
2024-11-15
DOI
https://doi.org/10.1016/j.xpro.2024.103433
Citations
2
Primary Topic
Plant Reproductive Biology
Type
article
Field-Weighted Citation Impact
0.47

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article

A protocol for in vivo RNA labeling and visualization in tobacco pollen tubes

Said Hafidh, Vinod Kumar
2 citations
STAR Protocols
Plant Reproductive Biology
0.47
article

A protocol for in vivo RNA labeling and visualization in tobacco pollen tubes

Said Hafidh, Vinod Kumar
article en
2 citations

Abstract

Here, we present a protocol for labeling and live visualization of RNA-protein complexes in the form of ribonucleoprotein particles (RNPs) in tobacco pollen tubes. We describe steps for constructing RNA-pp7/MS2 tag and biolistic gene-gun-mediated pollen transformation. We then provide detailed procedures for RNA labeling using PP7 aptamer nascent RNA tagging and a fluorescently labeled Pseudomonas aeruginosa PP7 bacteriophage coat protein (PCP) reporter that binds to PP7 RNA stem loops. This protocol is adaptable to other cell types by employing tissue-specific promoters.

STAR ProtocolsVol. 5(4)
Czech Academy of Sciences, Institute of Experimental Botany (CZ)
Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, European Regional Development Fund
Good health and well-being
Openalex Percentile: Top 34%
Plant Reproductive Biology
0.47
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