Autoantigen discovery with a synthetic human peptidome

H. Benjamin Larman, Zhenming Zhao, Uri Laserson, Mamie Z. Li, Alberto Ciccia, M. Angelica Martinez Gakidis, George M. Church, Santosh Kesari, Emily M. Leproust, Nicole L. Solimini, Stephen J. Elledge

Research output: Contribution to journalArticlepeer-review

240 Scopus citations

Abstract

Immune responses targeting self-proteins (autoantigens) can lead to a variety of autoimmune diseases. Identification of these antigens is important for both diagnostic and therapeutic reasons. However, current approaches to characterize autoantigens have, in most cases, met only with limited success. Here we present a synthetic representation of the complete human proteome, the T7 peptidome phage display library (T7-Pep), and demonstrate its application to autoantigen discovery. T7-Pep is composed of >413,000 36-residue, overlapping peptides that cover all open reading frames in the human genome, and can be analyzed using high-throughput DNA sequencing. We developed a phage immunoprecipitation sequencing (PhIP-Seq) methodology to identify known and previously unreported autoantibodies contained in the spinal fluid of three individuals with paraneoplastic neurological syndromes. We also show how T7-Pep can be used more generally to identify peptide-protein interactions, suggesting the broader utility of our approach for proteomic research.

Original languageEnglish
Pages (from-to)535-541
Number of pages7
JournalNature Biotechnology
Volume29
Issue number6
DOIs
StatePublished - Jun 2011
Externally publishedYes

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