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Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq
In this study, we improve on current autoantigen discovery approaches by creating a synthetic representation of the complete human proteome, the T7 “peptidome” phage display library (T7-Pep), and use it to profile the autoantibody repertoires of individual patients. We provide methods for 1) designi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169279/ https://www.ncbi.nlm.nih.gov/pubmed/21602805 http://dx.doi.org/10.1038/nbt.1856 |
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author | Larman, H. Benjamin Zhao, Zhenming Laserson, Uri Li, Mamie Z. Ciccia, Alberto Gakidis, M. Angelica Martinez Church, George M. Kesari, Santosh LeProust, Emily M. Solimini, Nicole L. Elledge, Stephen J. |
author_facet | Larman, H. Benjamin Zhao, Zhenming Laserson, Uri Li, Mamie Z. Ciccia, Alberto Gakidis, M. Angelica Martinez Church, George M. Kesari, Santosh LeProust, Emily M. Solimini, Nicole L. Elledge, Stephen J. |
author_sort | Larman, H. Benjamin |
collection | PubMed |
description | In this study, we improve on current autoantigen discovery approaches by creating a synthetic representation of the complete human proteome, the T7 “peptidome” phage display library (T7-Pep), and use it to profile the autoantibody repertoires of individual patients. We provide methods for 1) designing and cloning large libraries of DNA microarray-derived oligonucleotides encoding peptides for display on bacteriophage, and 2) analysis of the peptide libraries using high throughput DNA sequencing. We applied phage immunoprecipitation sequencing (PhIP-Seq) to identify both known and novel autoantibodies contained in the spinal fluid of three patients with paraneoplastic neurological syndromes. We also show how our approach can be used more generally to identify peptide-protein interactions and point toward ways in which this technology will be further developed in the future. We envision that PhIP-Seq can become an important new tool in autoantibody analysis, as well as proteomic research in general. |
format | Online Article Text |
id | pubmed-4169279 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-41692792014-09-19 Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq Larman, H. Benjamin Zhao, Zhenming Laserson, Uri Li, Mamie Z. Ciccia, Alberto Gakidis, M. Angelica Martinez Church, George M. Kesari, Santosh LeProust, Emily M. Solimini, Nicole L. Elledge, Stephen J. Nat Biotechnol Article In this study, we improve on current autoantigen discovery approaches by creating a synthetic representation of the complete human proteome, the T7 “peptidome” phage display library (T7-Pep), and use it to profile the autoantibody repertoires of individual patients. We provide methods for 1) designing and cloning large libraries of DNA microarray-derived oligonucleotides encoding peptides for display on bacteriophage, and 2) analysis of the peptide libraries using high throughput DNA sequencing. We applied phage immunoprecipitation sequencing (PhIP-Seq) to identify both known and novel autoantibodies contained in the spinal fluid of three patients with paraneoplastic neurological syndromes. We also show how our approach can be used more generally to identify peptide-protein interactions and point toward ways in which this technology will be further developed in the future. We envision that PhIP-Seq can become an important new tool in autoantibody analysis, as well as proteomic research in general. 2011-05-22 /pmc/articles/PMC4169279/ /pubmed/21602805 http://dx.doi.org/10.1038/nbt.1856 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Larman, H. Benjamin Zhao, Zhenming Laserson, Uri Li, Mamie Z. Ciccia, Alberto Gakidis, M. Angelica Martinez Church, George M. Kesari, Santosh LeProust, Emily M. Solimini, Nicole L. Elledge, Stephen J. Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title | Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title_full | Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title_fullStr | Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title_full_unstemmed | Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title_short | Application of a synthetic human proteome to autoantigen discovery through PhIP-Seq |
title_sort | application of a synthetic human proteome to autoantigen discovery through phip-seq |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169279/ https://www.ncbi.nlm.nih.gov/pubmed/21602805 http://dx.doi.org/10.1038/nbt.1856 |
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