The search result changed since you submitted your search request. Documents might be displayed in a different sort order.
  • search hit 2 of 266
Back to Result List

Peptide epitope-imprinted polymer microarrays for selective protein recognition

  • We introduce a practically generic approach for the generation of epitope-imprinted polymer-based microarrays for protein recognition on surface plasmon resonance imaging (SPRi) chips. The SPRi platform allows the subsequent rapid screening of target binding kinetics in a multiplexed and label-free manner. The versatility of such microarrays, both as synthetic and screening platform, is demonstrated through developing highly affine molecularly imprinted polymers (MIPs) for the recognition of the receptor binding domain (RBD) of SARS-CoV-2 spike protein. A characteristic nonapeptide GFNCYFPLQ from the RBD and other control peptides were microspotted onto gold SPRi chips followed by the electrosynthesis of a polyscopoletin nanofilm to generate in one step MIP arrays. A single chip screening of essential synthesis parameters, including the surface density of the template peptide and its sequence led to MIPs with dissociation constants (K-D) in the lower nanomolar range for RBD, which exceeds the affinity of RBD for its natural target,We introduce a practically generic approach for the generation of epitope-imprinted polymer-based microarrays for protein recognition on surface plasmon resonance imaging (SPRi) chips. The SPRi platform allows the subsequent rapid screening of target binding kinetics in a multiplexed and label-free manner. The versatility of such microarrays, both as synthetic and screening platform, is demonstrated through developing highly affine molecularly imprinted polymers (MIPs) for the recognition of the receptor binding domain (RBD) of SARS-CoV-2 spike protein. A characteristic nonapeptide GFNCYFPLQ from the RBD and other control peptides were microspotted onto gold SPRi chips followed by the electrosynthesis of a polyscopoletin nanofilm to generate in one step MIP arrays. A single chip screening of essential synthesis parameters, including the surface density of the template peptide and its sequence led to MIPs with dissociation constants (K-D) in the lower nanomolar range for RBD, which exceeds the affinity of RBD for its natural target, angiotensin-convertase 2 enzyme. Remarkably, the same MIPs bound SARS-CoV-2 virus like particles with even higher affinity along with excellent discrimination of influenza A (H3N2) virus. While MIPs prepared with a truncated heptapeptide template GFNCYFP showed only a slightly decreased affinity for RBD, a single mismatch in the amino acid sequence of the template, i.e. the substitution of the central cysteine with a serine, fully suppressed the RBD binding.show moreshow less

Export metadata

Additional Services

Search Google Scholar Statistics
Metadaten
Author details:Zsófia BognárORCiD, Eszter SupalaORCiD, Aysu YarmanORCiDGND, Xiaorong ZhangGND, Frank Fabian BierORCiDGND, Frieder W. SchellerORCiDGND, Róbert E. GyurcsanyiORCiD
DOI:https://doi.org/10.1039/d1sc04502d
ISSN:2041-6539
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/35222909
Title of parent work (English):Chemical science / RSC, Royal Society of Chemistry
Subtitle (English):application for SARS-CoV-2 RBD protein
Publisher:Royal Society of Chemistry
Place of publishing:Cambridge
Publication type:Article
Language:English
Date of first publication:2021/11/23
Publication year:2022
Release date:2024/01/05
Volume:13
Issue:5
Number of pages:8
First page:1263
Last Page:1269
Funding institution:NRDI Fund (TKP2020 IES, BME-IENAT) of the Ministry for Innovation and Technology; Germany's Excellence Strategy [EXC 2008-390540038-UniSysCat]; German Ministry of Education and Research (BMBF)Federal Ministry of Education & Research (BMBF) [01DH20018]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Biochemie und Biologie
DDC classification:5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (English):License LogoCreative Commons - Namensnennung - Nicht-kommerziell - Weitergabe unter gleichen Bedingungen 3.0 Unported
Accept ✔
This website uses technically necessary session cookies. By continuing to use the website, you agree to this. You can find our privacy policy here.