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Updated: May 13, 2026

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
Protein interaction discovery using parallel analysis of translated ORFs (PLATO)
Jian Zhu1,2,3, H Benjamin Larman1,4,5,2,3, Geng Gao1,2,3
1Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA.
We developed PLATO, a new method to map molecular interactions using ribosome display and DNA sequencing. This technique successfully identified known and novel interaction partners for human proteins and small molecules.
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Identifying molecular interactions is crucial for understanding biological processes.
- Existing methods may have limitations in scope or throughput.
Purpose of the Study:
- To introduce PLATO, a novel in vitro method for mapping physical interactions.
- To demonstrate the utility of PLATO for analyzing human protein interactions.
Main Methods:
- PLATO utilizes affinity enrichment of a library of full-length open reading frames displayed on ribosomes.
- Massively parallel DNA sequencing is employed for analysis.
Main Results:
- PLATO successfully identified known and previously unknown interacting partners.
- The method was validated using LYN kinase, patient autoantibodies, and small molecules (gefitinib, dasatinib).
Conclusions:
- PLATO is a versatile and powerful tool for mapping protein and molecular interactions.
- This method advances the field of proteomics and drug discovery.
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07:38Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
Published on: April 11, 2019
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