Overview
This article presents a detailed protocol for Riboglow-FLIM, a genetically encoded RNA biosensor system that enables quantitative visualization of RNA molecules in live mammalian cells using fluorescence lifetime imaging microscopy (FLIM). The workflow covers sample preparation, image acquisition, and quantitative analysis, facilitating the study of RNA dynamics and interactions in both controlled and live-cell environments.
Key Study Components
Area of Science
- RNA biology
- Live-cell imaging
- Fluorescence microscopy
Background
- Most of the human genome is transcribed into noncoding RNAs, which play diverse regulatory roles.
- Quantitative visualization of RNA in live cells is essential for understanding RNA dynamics but remains technically challenging.
- Riboglow is an RNA biosensor platform that uses a short RNA aptamer binding a small-molecule probe to generate a fluorescence lifetime signal.
- FLIM enables detection of these signals, allowing for quantitative RNA imaging in complex cellular environments.
Purpose of Study
- To provide a comprehensive protocol for implementing Riboglow-FLIM in vitro and in live mammalian cells.
- To enable quantitative fluorescence lifetime-based RNA detection and analysis.
- To highlight key considerations for reproducible and accurate RNA visualization using this method.
Methods Used
- Preparation of RNA samples or bead-loaded live cells with Riboglow probes.
- Setup and calibration of confocal laser scanning microscope and FLIM system.
- Acquisition of fluorescence lifetime data using specific laser and detector configurations.
- Quantitative analysis of FLIM datasets, including decay curve extraction and subcellular region analysis.
Main Results
- In vitro, the presence of the RNA A tag increased fluorescence lifetime, while its absence resulted in shorter lifetimes.
- In live cells, bead loading with different Riboglow probe variants (e.g., 3xGly vs. 5xGly) produced distinct fluorescence lifetime signatures.
- The nucleus consistently exhibited higher fluorescence lifetimes than the cytosol within the same cell.
- False color imaging, decay curves, and extracted amplitude values all corroborated observed fluorescence lifetime trends.
Conclusions
- Riboglow-FLIM enables robust, quantitative assessment of RNA localization and dynamics in live cells.
- The protocol supports reproducible implementation and accurate data analysis across biological contexts.
- This approach can be extended to disease models, multiplexed imaging, and live animal studies in future research.
What is Riboglow-FLIM and how does it work?
Riboglow-FLIM is a genetically encoded RNA biosensor system that uses an RNA aptamer and a small-molecule probe to generate a quantifiable fluorescence lifetime signal, which is detected using fluorescence lifetime imaging microscopy (FLIM) for RNA visualization in live cells.
What are the main steps in the Riboglow-FLIM protocol?
The protocol includes sample preparation (bead loading of probes), microscope and FLIM system setup, fluorescence lifetime data acquisition, and quantitative analysis of FLIM datasets.
How does the presence of the RNA A tag affect fluorescence lifetime measurements?
Samples containing the RNA A tag show increased fluorescence lifetimes, while those without the tag display shorter lifetimes, as indicated by left-shifted decay curves.
What differences were observed between the nucleus and cytosol in live-cell imaging?
The nucleus of cells loaded with Riboglow probes consistently exhibited higher fluorescence lifetimes compared to the cytosol of the same cell.
Can Riboglow-FLIM be used for multiplexed or disease model studies?
Yes, the protocol can be adapted for multiplexed imaging and applied to disease models or live animal systems in future research.
What are key considerations for reproducible Riboglow-FLIM experiments?
Careful control of experimental and acquisition parameters, proper calibration of the FLIM system, and consistent data analysis are essential for reproducible results.
What types of quantitative analyses can be performed with this protocol?
Researchers can extract fluorescence lifetime values, compare subcellular regions, assess the effects of RNA ligands, and analyze RNA dynamics quantitatively in various biological contexts.