The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The hemagglutinin (HA) and neuraminidase (NA) genes encode surface glycoproteins of influenza virus. These two proteins are involved in pathogenicity and are the primary targets of the immune system. Mutations in the HA and NA genes can result in antigenic drift in an influenza viral strain. A comparative sequencing method using MALDI MS combined with base-specific cleavage has been applied for the surveillance of these viral mutations. This approach shows advantages in high throughput and efficiency than the traditional direct sequencing methods in targeted sequence analysis.Base-specific cleavage assay with RNAse A was combined with MALDI-MS for the analysis of the HA and NA genes of 2 influenza viral strains. The mass peak patterns from the spectra were compared with the in silico digest result of reference gene sequences from the database to achieve comparative sequencing and screening of novel mutations.The HA and NA genes of two influenza lab strains were comparatively sequenced using the base-specific cleavage and MALDI-MS approach. Mutations could be exactly identified if more than one observation (mass peak changes) were detected in the spectrum. Mutations with only one observation could be located in a small area for further validation.We showed a proof of a principle that base-specific combined with MALDI-MS comparative sequencing approach can be utilized for targeted sequence analysis and potentially rapid and cost effective screening of emerging viral mutations.