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Related Experiment Video

Updated: Oct 11, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

RNA-Scoop: interactive visualization of transcripts in single-cell transcriptomes.

Maria Stephenson¹, Ka Ming Nip¹, Saber HafezQorani¹

¹Canada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 4S6, Canada.

NAR Genomics and Bioinformatics

|December 3, 2021

Summary

This summary is machine-generated.

RNA sequencing advances enable single-cell transcript analysis. RNA-Scoop is a new tool for visualizing transcript usage across cell clusters, aiding the investigation of cellular and molecular differences.

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Transcriptome Analysis of Single Cells

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Last Updated: Oct 11, 2025

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Real-time Imaging of Single Engineered RNA Transcripts in Living Cells Using Ratiometric Bimolecular Beacons

Published on: August 6, 2014

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Single-cell RNA sequencing (scRNA-seq) technologies have revolutionized the detection of transcripts within individual cells.
This high-resolution data allows for the study of transcript usage dynamics across diverse cell populations, uncovering novel biological insights.

Purpose of the Study:

To introduce RNA-Scoop, an interactive visualization tool designed for analyzing transcript usage in single-cell data.
To enable users to examine differential transcript expression and understand variations in transcript expression mechanisms across cell clusters.

Main Methods:

Development of an interactive visualization tool named RNA-Scoop.
Implementation of features for analyzing transcript usage across cell categories and clusters.
Facilitation of differential transcript expression analysis between cell groups.

Main Results:

RNA-Scoop provides a platform for interactive exploration of single-cell transcriptomic data.
The tool enables users to visualize and quantify transcript usage variations across defined cell clusters.
Users can investigate specific transcript expression mechanisms and their differential usage in various cell types.

Conclusions:

RNA-Scoop is a valuable tool for dissecting transcriptomic heterogeneity at the single-cell level.
The visualization capabilities of RNA-Scoop facilitate the discovery of new biological mechanisms related to transcript usage.
This tool supports in-depth analysis of differential gene expression and transcript isoform usage in complex cell populations.