Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies

Abstract Optimisation of protein binders relies on laborious screening processes. Investigation of sequence–function relationships of protein binders is particularly slow, since mutants are purified and evaluated individually. Here we developed peptide barcoding, a high-throughput approach for accur...

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Autores principales: Yusei Matsuzaki, Wataru Aoki, Takumi Miyazaki, Shunsuke Aburaya, Yuta Ohtani, Kaho Kajiwara, Naoki Koike, Hiroyoshi Minakuchi, Natsuko Miura, Tetsuya Kadonosono, Mitsuyoshi Ueda
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/6ca696081ad148fc8e2a41f6d690936f
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spelling oai:doaj.org-article:6ca696081ad148fc8e2a41f6d690936f2021-11-08T10:52:35ZPeptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies10.1038/s41598-021-01019-62045-2322https://doaj.org/article/6ca696081ad148fc8e2a41f6d690936f2021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01019-6https://doaj.org/toc/2045-2322Abstract Optimisation of protein binders relies on laborious screening processes. Investigation of sequence–function relationships of protein binders is particularly slow, since mutants are purified and evaluated individually. Here we developed peptide barcoding, a high-throughput approach for accurate investigation of sequence–function relationships of hundreds of protein binders at once. Our approach is based on combining the generation of a mutagenised nanobody library fused with unique peptide barcodes, the formation of nanobody–antigen complexes at different ratios, their fine fractionation by size-exclusion chromatography and quantification of peptide barcodes by targeted proteomics. Applying peptide barcoding to an anti-GFP nanobody as a model, we successfully identified residues important for the binding affinity of anti-GFP nanobody at once. Peptide barcoding discriminated subtle changes in K D at the order of nM to sub-nM. Therefore, peptide barcoding is a powerful tool for engineering protein binders, enabling reliable one-pot evaluation of sequence–function relationships.Yusei MatsuzakiWataru AokiTakumi MiyazakiShunsuke AburayaYuta OhtaniKaho KajiwaraNaoki KoikeHiroyoshi MinakuchiNatsuko MiuraTetsuya KadonosonoMitsuyoshi UedaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Yusei Matsuzaki
Wataru Aoki
Takumi Miyazaki
Shunsuke Aburaya
Yuta Ohtani
Kaho Kajiwara
Naoki Koike
Hiroyoshi Minakuchi
Natsuko Miura
Tetsuya Kadonosono
Mitsuyoshi Ueda
Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
description Abstract Optimisation of protein binders relies on laborious screening processes. Investigation of sequence–function relationships of protein binders is particularly slow, since mutants are purified and evaluated individually. Here we developed peptide barcoding, a high-throughput approach for accurate investigation of sequence–function relationships of hundreds of protein binders at once. Our approach is based on combining the generation of a mutagenised nanobody library fused with unique peptide barcodes, the formation of nanobody–antigen complexes at different ratios, their fine fractionation by size-exclusion chromatography and quantification of peptide barcodes by targeted proteomics. Applying peptide barcoding to an anti-GFP nanobody as a model, we successfully identified residues important for the binding affinity of anti-GFP nanobody at once. Peptide barcoding discriminated subtle changes in K D at the order of nM to sub-nM. Therefore, peptide barcoding is a powerful tool for engineering protein binders, enabling reliable one-pot evaluation of sequence–function relationships.
format article
author Yusei Matsuzaki
Wataru Aoki
Takumi Miyazaki
Shunsuke Aburaya
Yuta Ohtani
Kaho Kajiwara
Naoki Koike
Hiroyoshi Minakuchi
Natsuko Miura
Tetsuya Kadonosono
Mitsuyoshi Ueda
author_facet Yusei Matsuzaki
Wataru Aoki
Takumi Miyazaki
Shunsuke Aburaya
Yuta Ohtani
Kaho Kajiwara
Naoki Koike
Hiroyoshi Minakuchi
Natsuko Miura
Tetsuya Kadonosono
Mitsuyoshi Ueda
author_sort Yusei Matsuzaki
title Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
title_short Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
title_full Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
title_fullStr Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
title_full_unstemmed Peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
title_sort peptide barcoding for one-pot evaluation of sequence–function relationships of nanobodies
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/6ca696081ad148fc8e2a41f6d690936f
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