Protocol for multiplexed transcription factor activity detection using optimized barcoded reporters and an automated computational pipeline

Transcription factors (TFs) regulate the genome in response to signaling events. Detecting their activity is crucial to deciphering the regulatory networks of cells. Here, we present a protocol for multiplexed TF activity detection using a barcoded plasmid library of optimized "prime" TF reporters in cultured cells. We describe steps for library transfection, RNA processing for barcode sequencing, and a computational pipeline for analyzing differential TF activity, enabling high-throughput and quantitative TF profiling. For complete details on the use and execution of this protocol, please refer to Trauernicht et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2025-09-01
DOI
https://doi.org/10.1016/j.xpro.2025.104066
Citations
1
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
0.81
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article

Protocol for multiplexed transcription factor activity detection using optimized barcoded reporters and an automated computational pipeline

Vinícius H. Franceschini-Santos, Hatice Yücel, Bas van Steensel, Max Trauernicht
1 citations
STAR Protocols
Gene expression and cancer classification
0.81
article

Protocol for multiplexed transcription factor activity detection using optimized barcoded reporters and an automated computational pipeline

Vinícius H. Franceschini-Santos, Hatice Yücel, Bas van Steensel, Max Trauernicht
article en
1 citations

Abstract

Transcription factors (TFs) regulate the genome in response to signaling events. Detecting their activity is crucial to deciphering the regulatory networks of cells. Here, we present a protocol for multiplexed TF activity detection using a barcoded plasmid library of optimized "prime" TF reporters in cultured cells. We describe steps for library transfection, RNA processing for barcode sequencing, and a computational pipeline for analyzing differential TF activity, enabling high-throughput and quantitative TF profiling. For complete details on the use and execution of this protocol, please refer to Trauernicht et al.<sup>1</sup>.

STAR ProtocolsVol. 6(3)
Oncode Institute (NL)
Openalex Percentile: Top 24%
Gene expression and cancer classification
0.81
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