Single Rna Detection
Single Rna Detection - Related Videos
06:59
Nanomanipulation of Single RNA Molecules by Optical Tweezers
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Cited by 13 •
2014
Optical tweezers have been used to study RNA folding by stretching individual molecules from their 5’ and 3’ ends. Here common procedures are described to synthesize RNA molecules for tweezing, calibration of the instrument, and methods to manipulate single molecules.
08:50
A Nonsequencing Approach for the Rapid Detection of RNA Editing
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2022
Rapid detection and reliable quantification of RNA editing events at a genomic scale remain challenging and currently rely on direct RNA sequencing methods. The protocol described here uses microtemperature gradient gel electrophoresis (µTGGE) as a simple, quick, and portable method of detecting RNA editing.
02:42
RNA CISH Signal Detection: A Technique to Detect Chromogenic Signals During RNA In Situ Hybridization in Intact Tissue Specimens
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2023
This video presents the protocol for signal detection during RNA chromogenic in situ hybridization. This technique can be used to diagnose an active oncogenic infection visually in an intact tissue specimen.
10:34
Detection of RNA-binding Proteins by In Vitro RNA Pull-down in Adipocyte Culture
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Cited by 19 •
2016
An RNA pull-down protocol is optimized here for detection of interactions between RNA-binding proteins (RBPs) and noncoding as well as coding RNAs. An RNA fragment from androgen receptor (AR) was used as an example to demonstrate how to retrieve its RBP from lystate of primary brown adipocytes.
06:36
Horizontal Gel Electrophoresis for Enhanced Detection of Protein-RNA Complexes
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Cited by 6 •
2017
Native polyacrylamide gel electrophoresis is a fundamental tool for analyzing RNA-protein interactions. Traditionally most experiments have used vertical gels. However, horizontal gels provide several advantages, such as the opportunity to monitor complexes during electrophoresis. We provide a detailed protocol for generating and using horizontal native gel electrophoresis.
FAQs
The central molecular step is sequence-specific hybridization: a labeled probe binds a complementary region of the target RNA. The attached fluorescent signal makes that bound transcript detectable during imaging, while discrete signals can be associated with individual molecules. Probe complementarity therefore determines which RNA species the assay can visualize and measure.
Single-molecule resolution preserves variation that bulk measurements average away. Researchers can examine differences in RNA abundance among individual cells rather than only obtaining a population-level signal. This distinction helps reveal cellular heterogeneity and supports more precise interpretation of how gene expression changes across cells or biological conditions.
Location provides a spatial dimension to RNA measurements. Detecting where transcripts occur within cells can help researchers study RNA transport and distinguish similar abundance patterns that have different intracellular distributions. Combining molecule counts with localization therefore connects gene expression measurements to cellular organization and the movement of RNA inside biological systems.
A typical workflow uses fluorescently labeled probes designed to recognize the RNA of interest, allows those probes to hybridize with complementary transcripts in cells or samples, and then examines the labeled targets by microscopy or a related imaging approach. Researchers can subsequently count detected signals and assess their positions within the sample.
It is especially informative when the research question concerns differences between cells or the distribution of transcripts within cells. A bulk measurement combines signals from many molecules or cells, whereas single-molecule analysis retains that variation. This makes the approach useful for investigating heterogeneous gene-expression responses to environmental or therapeutic conditions.
In biology, the method supports investigations of transcription, RNA transport, cellular heterogeneity, disease mechanisms, and responses to environmental or therapeutic conditions. Its value comes from linking measurable transcript abundance with individual-cell behavior and intracellular position. These readouts can clarify patterns that remain hidden when RNA signals are summarized across an entire sample.