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Related Experiment Video

Updated: Feb 27, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

Published on: June 28, 2018

CrY2H-seq: a massively multiplexed assay for deep-coverage interactome mapping.

Shelly A Wanamaker^1,2, Renee M Garza¹, Andrew MacWilliams¹

¹Genomic Analysis Laboratory, The Salk Institute for Biological Studies, La Jolla, California, USA.

|June 27, 2017

Summary

This summary is machine-generated.

A new method, CrY2H-seq, enables large-scale mapping of protein-protein interactions using yeast two-hybrid and DNA sequencing. This approach efficiently identified thousands of interactions among Arabidopsis thaliana transcription factors.

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Last Updated: Feb 27, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens

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Published on: June 28, 2018

A Yeast 2-Hybrid Screen in Batch to Compare Protein Interactions

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Published on: June 6, 2018

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

Area of Science:

Molecular Biology
Genomics
Bioinformatics

Background:

Mapping protein-protein interactions is crucial but limited by current technologies.
Existing methods face constraints in cost, time, and sensitivity for broad-scale analysis.

Purpose of the Study:

To develop and validate a massively multiplexed yeast two-hybrid method, CrY2H-seq, for high-throughput protein interaction mapping.
To investigate interactions among sparsely annotated Arabidopsis thaliana transcription factors.

Main Methods:

Utilized a Cre recombinase interaction reporter for intracellular fusion of interacting protein coding sequences.
Employed next-generation DNA sequencing for en masse identification of protein interactions.
Performed ten independent screens testing 36 million binary interaction combinations.

Main Results:

Identified a network of 8,577 interactions among 1,453 Arabidopsis thaliana transcription factors.
Demonstrated CrY2H-seq's superior screening capacity, efficiency, and sensitivity compared to existing technologies.
Generated the AtTFIN-1 network, expanding known plant transcription factor interactions threefold and recapitulating existing data.

Conclusions:

CrY2H-seq significantly advances protein-protein interaction mapping capabilities.
The AtTFIN-1 network provides a valuable resource, revealing novel associations with plant development and circadian rhythms.