2023-09-28 米国国立標準技術研究所(NIST)
◆スパイク型タンパク質は、多くのウイルスがホスト細胞に侵入するために使用する主要な武器であり、感染プロセスに重要な役割を果たします。これらのスパイクタンパク質はウイルスの感染力と免疫系からの逃避を助けるためにさまざまな糖分子で覆われています。
◆これまで、これらの糖分子を正確に特定する方法は限られていましたが、NISTの研究により、その精度が大幅に向上しました。この研究により、COVID-19などのウイルス感染を撃退するための医学的な知識が向上し、他のウイルスに対する対策にも応用できる可能性があります。
<関連情報>
- https://www.nist.gov/news-events/news/2023/09/new-nist-method-can-better-identify-sneaky-sugars-viruses-spiky-weapons
- https://pubs.acs.org/doi/10.1021/acs.jproteome.3c00271
SARS-CoV-2スパイクタンパク質の部位特異的糖鎖プロファイルを複数のソースから決定する。 Determining Site-Specific Glycan Profiles of Recombinant SARS-CoV-2 Spike Proteins from Multiple Sources
Meghan C. Burke, Yi Liu, Concepcion Remoroza, Yuri A. Mirokhin, Sergey L. Sheetlin, Dmitrii V. Tchekhovskoi, Guanghui Wang, Xiaoyu Yang, and Stephen E. Stein
Journal of Proteome Research Published:August 30, 2023
DOI:https://doi.org/10.1021/acs.jproteome.3c00271
Abstract
Glycopeptide Abundance Distribution Spectra (GADS) were recently introduced as a means of representing, storing, and comparing glycan profiles of intact glycopeptides. Here, using that representation, an extensive analysis is made of multiple commercial sources of the recombinant SARS-CoV-2 spike protein, each containing 22 N-linked glycan sites (sequons). Multiple proteases are used along with variable energy fragmentation followed by ion trap confirmation. This enables a detailed examination of the reproducibility of the method across multiple types of variability. These results show that GADS are consistent between replicates and laboratories for sufficiently abundant glycopeptides. Derived GADS enable the examination and comparison of the glycan profiles between commercial sources of the spike protein. Multiple distinct glycopeptide distributions, generated by multiple proteases, confirm these profiles. Comparisons of GADS derived from 11 sources of recombinant spike protein reveal that sources for which protein expression methods were the same produced near-identical glycan profiles, thereby demonstrating the ability of this method to measure GADS of sufficient reliability to distinguish different glycoform distributions between commercial vendors and potentially to reliably determine and compare differences in glycosylation for any glycoprotein under different conditions of production. All mass spectrometry data files have been deposited in the MassIVE repository under the identifier MSV000091776.
