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Updated: Jul 11, 2026

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Massively Parallel Reporter Assays in Cultured Mammalian Cells
Published on: August 17, 2014
Protocol for multiplexed transcription factor activity detection using optimized barcoded reporters and an automated
Max Trauernicht1, Vinícius H Franceschini-Santos1, Hatice Yücel1
1Oncode Institute, Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands.
STAR Protocols
|September 11, 2025
Summary
This study introduces a new method for measuring transcription factor (TF) activity using a barcoded reporter library. This high-throughput approach enables quantitative profiling of TF networks in cells.
Area of Science:
- Molecular Biology
- Genomics
- Cell Signaling
Background:
- Transcription factors (TFs) are key regulators of cellular responses to signaling pathways.
- Understanding TF activity is essential for mapping cellular regulatory networks.
- Current methods for TF activity detection can be limited in throughput and quantitative accuracy.
Purpose of the Study:
- To develop a novel protocol for multiplexed detection of transcription factor activity.
- To enable high-throughput and quantitative profiling of TF activity in cultured cells.
- To provide a method for deciphering complex cellular regulatory networks.
Main Methods:
- Utilized a barcoded plasmid library of optimized "prime" TF reporters for transfection into cultured cells.
- Developed a protocol for RNA processing and barcode sequencing to quantify reporter activity.
- Implemented a computational pipeline for analyzing differential TF activity from sequencing data.
Main Results:
- Successfully established a method for multiplexed TF activity detection.
- Demonstrated the capability for high-throughput and quantitative TF profiling.
- Enabled the analysis of differential TF activity in response to cellular signals.
Conclusions:
- The presented protocol offers a powerful tool for dissecting TF-mediated gene regulation.
- This method facilitates a deeper understanding of cellular signaling and regulatory networks.
- The approach allows for comprehensive and quantitative assessment of TF activities.

