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Updated: Mar 27, 2026

Genome-wide Protein-protein Interaction Screening by Protein-fragment Complementation Assay PCA in Living Cells
Published on: March 3, 2015
Next-Generation Sequencing for Binary Protein-Protein Interactions.
Bernhard Suter1, Xinmin Zhang2, C Gustavo Pesce1
1Next Interactions, Inc., Richmond CA, USA.
This study presents a new workflow for analyzing yeast two-hybrid (Y2H) screening data using next-generation sequencing (NGS). This approach enhances the study of protein-protein interactions (PPIs) for applications in health and disease research.
Area of Science:
- Biochemistry
- Molecular Biology
- Genomics
Background:
- The yeast two-hybrid (Y2H) system is a powerful genetic tool for detecting protein-protein interactions (PPIs).
- Existing Y2H methods have been refined for various applications, including drug discovery and large-scale proteomic screens.
- There is a need for systematic analysis schemes to interpret complex Y2H screening data.
Purpose of the Study:
- To introduce a systematic workflow and analysis scheme for Y2H and related screening assays.
- To integrate high-throughput selection, next-generation sequencing (NGS) readout, and quantitative statistical interpretation.
- To provide novel assays and tools for studying protein-protein interaction networks.
Main Methods:
- Implementation of high-throughput selection procedures for Y2H screening.
- Utilizing next-generation sequencing (NGS) for comprehensive data readout.
- Application of quantitative statistics for the interpretation of interaction data.
Main Results:
- A systematic workflow and analysis scheme for Y2H screening data has been established.
- The integration of NGS enables a more comprehensive analysis of PPIs.
- Quantitative statistics provide robust interpretation of interaction data.
Conclusions:
- The developed platform harnesses NGS technology to advance the study of PPI networks.
- This approach offers a powerful tool for addressing critical questions in diverse fields of biology and medicine.
- The workflow facilitates a deeper understanding of PPIs in health and disease contexts.
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