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Related Experiment Video

Updated: Apr 5, 2026

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

High Throughput Yeast Strain Phenotyping with Droplet-Based RNA Sequencing

Published on: May 21, 2020

High-throughput cellular RNA device engineering.

Brent Townshend¹, Andrew B Kennedy¹, Joy S Xiang¹

¹Department of Bioengineering, Stanford University, Stanford, California, USA.

|August 11, 2015

Summary

This summary is machine-generated.

Researchers engineered novel RNA devices using aptamers for precise gene regulation. These tertiary-interaction RNA devices offer enhanced performance in gene silencing and ligand sensitivity compared to existing methods.

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Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Area of Science:

Molecular Biology
Synthetic Biology
Biochemistry

Background:

Developing conditional gene-regulatory devices is crucial for biological manipulation.
Existing RNA devices often rely on secondary structure changes, limiting their efficiency.

Purpose of the Study:

To engineer RNA devices from aptamers that utilize ligand-responsive ribozyme tertiary interactions.
To develop a high-throughput framework for assessing RNA device performance.

Main Methods:

Utilized a framework for engineering RNA devices from preexisting aptamers.
Employed cell sorting, high-throughput sequencing, and statistical analyses for parallel measurements.
Assessed RNA device libraries in the presence and absence of ligands.

Main Results:

Tertiary-interaction RNA devices demonstrated superior gene silencing, activation ratio, and ligand sensitivity.
Successfully built biosensors for diverse ligands using the developed method.
Identified consensus sequences enabling ligand-responsive tertiary interactions.

Conclusions:

The developed methodology advances the creation of broadly applicable genetic tools.
Provides a framework for elucidating sequence-structure-function relationships in biomolecules.
Enables rational design of complex RNA-based devices with enhanced functionality.