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High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications

In vitro selection using mRNA display is currently a widely used method to isolate functional peptides with desired properties. The analysis of High Throughput Sequencing (HTS) data from in vitro evolution experiments has proven to be a powerful technique but only recently has it been applied to mRN...

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Detalles Bibliográficos
Autores principales: Blanco, Celia, Verbanic, Sam, Seelig, Burckhard, Chen, Irene A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219182/
https://www.ncbi.nlm.nih.gov/pubmed/31967131
http://dx.doi.org/10.1039/c9cp05912a
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author Blanco, Celia
Verbanic, Sam
Seelig, Burckhard
Chen, Irene A.
author_facet Blanco, Celia
Verbanic, Sam
Seelig, Burckhard
Chen, Irene A.
author_sort Blanco, Celia
collection PubMed
description In vitro selection using mRNA display is currently a widely used method to isolate functional peptides with desired properties. The analysis of High Throughput Sequencing (HTS) data from in vitro evolution experiments has proven to be a powerful technique but only recently has it been applied to mRNA display selections. In this Perspective, we introduce aspects of mRNA display and HTS that may be of interest to physical chemists. We highlight the potential of HTS to analyze in vitro selections of peptides and review recent advances in the application of HTS analysis to mRNA display experiments. We discuss some possible issues involved with HTS analysis and summarize some strategies to alleviate them. Finally, the potential for future impact of advancing HTS analysis on mRNA display experiments is discussed.
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spelling pubmed-82191822021-06-22 High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications Blanco, Celia Verbanic, Sam Seelig, Burckhard Chen, Irene A. Phys Chem Chem Phys Article In vitro selection using mRNA display is currently a widely used method to isolate functional peptides with desired properties. The analysis of High Throughput Sequencing (HTS) data from in vitro evolution experiments has proven to be a powerful technique but only recently has it been applied to mRNA display selections. In this Perspective, we introduce aspects of mRNA display and HTS that may be of interest to physical chemists. We highlight the potential of HTS to analyze in vitro selections of peptides and review recent advances in the application of HTS analysis to mRNA display experiments. We discuss some possible issues involved with HTS analysis and summarize some strategies to alleviate them. Finally, the potential for future impact of advancing HTS analysis on mRNA display experiments is discussed. 2020-01-22 2020-03-28 /pmc/articles/PMC8219182/ /pubmed/31967131 http://dx.doi.org/10.1039/c9cp05912a Text en https://creativecommons.org/licenses/by/3.0/This article is licensed under a Creative Commons Attribution 3.0 Unported Licence (https://creativecommons.org/licenses/by/3.0/) .
spellingShingle Article
Blanco, Celia
Verbanic, Sam
Seelig, Burckhard
Chen, Irene A.
High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title_full High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title_fullStr High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title_full_unstemmed High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title_short High throughput sequencing of in vitro selections of mRNA-displayed peptides: data analysis and applications
title_sort high throughput sequencing of in vitro selections of mrna-displayed peptides: data analysis and applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8219182/
https://www.ncbi.nlm.nih.gov/pubmed/31967131
http://dx.doi.org/10.1039/c9cp05912a
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