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Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis

BACKGROUND: Combinatorial phage display has been used in the last 20 years in the identification of protein-ligands and protein-protein interactions, uncovering relevant molecular recognition events. Rate-limiting steps of combinatorial phage display library selection are (i) the counting of transdu...

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Autores principales: Dias-Neto, Emmanuel, Nunes, Diana N., Giordano, Ricardo J., Sun, Jessica, Botz, Gregory H., Yang, Kuan, Setubal, João C., Pasqualini, Renata, Arap, Wadih
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2791209/
https://www.ncbi.nlm.nih.gov/pubmed/20020040
http://dx.doi.org/10.1371/journal.pone.0008338
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author Dias-Neto, Emmanuel
Nunes, Diana N.
Giordano, Ricardo J.
Sun, Jessica
Botz, Gregory H.
Yang, Kuan
Setubal, João C.
Pasqualini, Renata
Arap, Wadih
author_facet Dias-Neto, Emmanuel
Nunes, Diana N.
Giordano, Ricardo J.
Sun, Jessica
Botz, Gregory H.
Yang, Kuan
Setubal, João C.
Pasqualini, Renata
Arap, Wadih
author_sort Dias-Neto, Emmanuel
collection PubMed
description BACKGROUND: Combinatorial phage display has been used in the last 20 years in the identification of protein-ligands and protein-protein interactions, uncovering relevant molecular recognition events. Rate-limiting steps of combinatorial phage display library selection are (i) the counting of transducing units and (ii) the sequencing of the encoded displayed ligands. Here, we adapted emerging genomic technologies to minimize such challenges. METHODOLOGY/PRINCIPAL FINDINGS: We gained efficiency by applying in tandem real-time PCR for rapid quantification to enable bacteria-free phage display library screening, and added phage DNA next-generation sequencing for large-scale ligand analysis, reporting a fully integrated set of high-throughput quantitative and analytical tools. The approach is far less labor-intensive and allows rigorous quantification; for medical applications, including selections in patients, it also represents an advance for quantitative distribution analysis and ligand identification of hundreds of thousands of targeted particles from patient-derived biopsy or autopsy in a longer timeframe post library administration. Additional advantages over current methods include increased sensitivity, less variability, enhanced linearity, scalability, and accuracy at much lower cost. Sequences obtained by qPhage plus pyrosequencing were similar to a dataset produced from conventional Sanger-sequenced transducing-units (TU), with no biases due to GC content, codon usage, and amino acid or peptide frequency. These tools allow phage display selection and ligand analysis at >1,000-fold faster rate, and reduce costs ∼250-fold for generating 10(6) ligand sequences. CONCLUSIONS/SIGNIFICANCE: Our analyses demonstrates that whereas this approach correlates with the traditional colony-counting, it is also capable of a much larger sampling, allowing a faster, less expensive, more accurate and consistent analysis of phage enrichment. Overall, qPhage plus pyrosequencing is superior to TU-counting plus Sanger sequencing and is proposed as the method of choice over a broad range of phage display applications in vitro, in cells, and in vivo.
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spelling pubmed-27912092009-12-18 Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis Dias-Neto, Emmanuel Nunes, Diana N. Giordano, Ricardo J. Sun, Jessica Botz, Gregory H. Yang, Kuan Setubal, João C. Pasqualini, Renata Arap, Wadih PLoS One Research Article BACKGROUND: Combinatorial phage display has been used in the last 20 years in the identification of protein-ligands and protein-protein interactions, uncovering relevant molecular recognition events. Rate-limiting steps of combinatorial phage display library selection are (i) the counting of transducing units and (ii) the sequencing of the encoded displayed ligands. Here, we adapted emerging genomic technologies to minimize such challenges. METHODOLOGY/PRINCIPAL FINDINGS: We gained efficiency by applying in tandem real-time PCR for rapid quantification to enable bacteria-free phage display library screening, and added phage DNA next-generation sequencing for large-scale ligand analysis, reporting a fully integrated set of high-throughput quantitative and analytical tools. The approach is far less labor-intensive and allows rigorous quantification; for medical applications, including selections in patients, it also represents an advance for quantitative distribution analysis and ligand identification of hundreds of thousands of targeted particles from patient-derived biopsy or autopsy in a longer timeframe post library administration. Additional advantages over current methods include increased sensitivity, less variability, enhanced linearity, scalability, and accuracy at much lower cost. Sequences obtained by qPhage plus pyrosequencing were similar to a dataset produced from conventional Sanger-sequenced transducing-units (TU), with no biases due to GC content, codon usage, and amino acid or peptide frequency. These tools allow phage display selection and ligand analysis at >1,000-fold faster rate, and reduce costs ∼250-fold for generating 10(6) ligand sequences. CONCLUSIONS/SIGNIFICANCE: Our analyses demonstrates that whereas this approach correlates with the traditional colony-counting, it is also capable of a much larger sampling, allowing a faster, less expensive, more accurate and consistent analysis of phage enrichment. Overall, qPhage plus pyrosequencing is superior to TU-counting plus Sanger sequencing and is proposed as the method of choice over a broad range of phage display applications in vitro, in cells, and in vivo. Public Library of Science 2009-12-17 /pmc/articles/PMC2791209/ /pubmed/20020040 http://dx.doi.org/10.1371/journal.pone.0008338 Text en Dias-Neto et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Dias-Neto, Emmanuel
Nunes, Diana N.
Giordano, Ricardo J.
Sun, Jessica
Botz, Gregory H.
Yang, Kuan
Setubal, João C.
Pasqualini, Renata
Arap, Wadih
Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title_full Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title_fullStr Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title_full_unstemmed Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title_short Next-Generation Phage Display: Integrating and Comparing Available Molecular Tools to Enable Cost-Effective High-Throughput Analysis
title_sort next-generation phage display: integrating and comparing available molecular tools to enable cost-effective high-throughput analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2791209/
https://www.ncbi.nlm.nih.gov/pubmed/20020040
http://dx.doi.org/10.1371/journal.pone.0008338
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