Protein interaction discovery using parallel analysis of translated ORFs (PLATO)

Jian Zhu, H. Benjamin Larman, Geng Gao, Romel Somwar, Zijuan Zhang, Uri Laserson, Alberto Ciccia, Natalya Pavlova, George Church, Wei Zhang, Santosh Kesari, Stephen J. Elledge

Research output: Contribution to journalArticle

Abstract

Identifying physical interactions between proteins and other molecules is a critical aspect of biological analysis. Here we describe PLATO, an in vitro method for mapping such interactions by affinity enrichment of a library of full-length open reading frames displayed on ribosomes, followed by massively parallel analysis using DNA sequencing. We demonstrate the broad utility of the method for human proteins by identifying known and previously unidentified interacting partners of LYN kinase, patient autoantibodies, and the small-molecules gefitinib and dasatinib.

Original languageEnglish (US)
Pages (from-to)331-334
Number of pages4
JournalNature biotechnology
Volume31
Issue number4
DOIs
StatePublished - Apr 1 2013
Externally publishedYes

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ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Applied Microbiology and Biotechnology
  • Molecular Medicine
  • Biomedical Engineering

Cite this

Zhu, J., Larman, H. B., Gao, G., Somwar, R., Zhang, Z., Laserson, U., Ciccia, A., Pavlova, N., Church, G., Zhang, W., Kesari, S., & Elledge, S. J. (2013). Protein interaction discovery using parallel analysis of translated ORFs (PLATO). Nature biotechnology, 31(4), 331-334. https://doi.org/10.1038/nbt.2539