Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein
Self-binding peptides containing zipper-like sequences, such as the Leu/Ile zipper sequence within the coiled coil regions of proteins and the cross-β spine steric zippers within the amyloid-like fibrils, could bind to the protein-of-origin through homophilic sequence-specific zipper motifs. These s...
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sg-ntu-dr.10356-1427432020-06-29T09:37:24Z Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein Zhang, Si Min Liao, Ying Neo, Tuan Ling Lu, Yanning Liu, Ding Xiang Vahlne, Anders Tam, James Pingkwan School of Biological Sciences Science::Biological sciences Steric β-zipper SARS-CoV Spike Protein Self-binding peptides containing zipper-like sequences, such as the Leu/Ile zipper sequence within the coiled coil regions of proteins and the cross-β spine steric zippers within the amyloid-like fibrils, could bind to the protein-of-origin through homophilic sequence-specific zipper motifs. These self-binding sequences represent opportunities for the development of biochemical tools and/or therapeutics. Here, we report on the identification of a putative self-binding β-zipper-forming peptide within the severe acute respiratory syndrome-associated coronavirus spike (S) protein and its application in viral detection. Peptide array scanning of overlapping peptides covering the entire length of S protein identified 34 putative self-binding peptides of six clusters, five of which contained octapeptide core consensus sequences. The Cluster I consensus octapeptide sequence GINITNFR was predicted by the Eisenberg's 3D profile method to have high amyloid-like fibrillation potential through steric β-zipper formation. Peptide C6 containing the Cluster I consensus sequence was shown to oligomerize and form amyloid-like fibrils. Taking advantage of this, C6 was further applied to detect the S protein expression in vitro by fluorescence staining. Meanwhile, the coiled-coil-forming Leu/Ile heptad repeat sequences within the S protein were under-represented during peptide array scanning, in agreement with that long peptide lengths were required to attain high helix-mediated interaction avidity. The data suggest that short β-zipper-like self-binding peptides within the S protein could be identified through combining the peptide scanning and predictive methods, and could be exploited as biochemical detection reagents for viral infection. MOE (Min. of Education, S’pore) 2020-06-29T09:37:24Z 2020-06-29T09:37:24Z 2018 Journal Article Zhang, S. M., Liao, Y., Neo, T. L., Lu, Y., Liu, D. X., Vahlne, A., & Tam, J. P. (2018). Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein. International Journal of Biochemistry and Cell Biology, 101, 103-112. doi:10.1016/j.biocel.2018.05.012 1357-2725 https://hdl.handle.net/10356/142743 10.1016/j.biocel.2018.05.012 29800727 2-s2.0-85048111699 101 103 112 en International Journal of Biochemistry and Cell Biology © 2018 Elsevier Ltd. All rights reserved. |
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Science::Biological sciences Steric β-zipper SARS-CoV Spike Protein Zhang, Si Min Liao, Ying Neo, Tuan Ling Lu, Yanning Liu, Ding Xiang Vahlne, Anders Tam, James Pingkwan Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
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Self-binding peptides containing zipper-like sequences, such as the Leu/Ile zipper sequence within the coiled coil regions of proteins and the cross-β spine steric zippers within the amyloid-like fibrils, could bind to the protein-of-origin through homophilic sequence-specific zipper motifs. These self-binding sequences represent opportunities for the development of biochemical tools and/or therapeutics. Here, we report on the identification of a putative self-binding β-zipper-forming peptide within the severe acute respiratory syndrome-associated coronavirus spike (S) protein and its application in viral detection. Peptide array scanning of overlapping peptides covering the entire length of S protein identified 34 putative self-binding peptides of six clusters, five of which contained octapeptide core consensus sequences. The Cluster I consensus octapeptide sequence GINITNFR was predicted by the Eisenberg's 3D profile method to have high amyloid-like fibrillation potential through steric β-zipper formation. Peptide C6 containing the Cluster I consensus sequence was shown to oligomerize and form amyloid-like fibrils. Taking advantage of this, C6 was further applied to detect the S protein expression in vitro by fluorescence staining. Meanwhile, the coiled-coil-forming Leu/Ile heptad repeat sequences within the S protein were under-represented during peptide array scanning, in agreement with that long peptide lengths were required to attain high helix-mediated interaction avidity. The data suggest that short β-zipper-like self-binding peptides within the S protein could be identified through combining the peptide scanning and predictive methods, and could be exploited as biochemical detection reagents for viral infection. |
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School of Biological Sciences |
author_facet |
School of Biological Sciences Zhang, Si Min Liao, Ying Neo, Tuan Ling Lu, Yanning Liu, Ding Xiang Vahlne, Anders Tam, James Pingkwan |
format |
Article |
author |
Zhang, Si Min Liao, Ying Neo, Tuan Ling Lu, Yanning Liu, Ding Xiang Vahlne, Anders Tam, James Pingkwan |
author_sort |
Zhang, Si Min |
title |
Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
title_short |
Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
title_full |
Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
title_fullStr |
Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
title_full_unstemmed |
Identification and application of self-binding zipper-like sequences in SARS-CoV spike protein |
title_sort |
identification and application of self-binding zipper-like sequences in sars-cov spike protein |
publishDate |
2020 |
url |
https://hdl.handle.net/10356/142743 |
_version_ |
1681059655869005824 |