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Isolation of novel sequences targeting highly variable viral protein hemagglutinin

Authors: Zhiwu Xu; Jieyu Wu; Fan Feng; Xiaoxiao Zhang; Xiaoqian Ma; Man Tang; Yan Huang; +6 Authors

Isolation of novel sequences targeting highly variable viral protein hemagglutinin

Abstract

Rapid evolution is a hallmark of the viral kingdom and a major concern for developing universal vaccines. The isolation of substantial numbers of viral sequence variants at highly variable viral protein domains remains a major challenge. We previously developed a combinatorial method for the isolation of novel sequences to cope with rapid viral variations at the G-H loop of Foot and Mouth Disease virus VP1 protein [1]. Here we present a modification of that method in its application in the randomization of the hemagglutinin gene from a H5N2 virus, namely: •removal of potentially stressful region which harbored a stretch of basic amino acids to increase the success rates of gene cloning, and to streamline the process of future engineering of novel viral variants.•clustered randomization in a full-length gene, as the positive rate for partial gene fragment libraries was extremely low before enrichment in the previous FMDV studies.•the use of fusion partner was avoided, which was used previously for protein expression, stabilization of clones and reduction of stresses on host cells.•the use of Poisson distribution is proposed to approximate sequencing output to achieve cost effectiveness.

Keywords

Viral variations, Science, Q, Full length gene, H5N1, Biochemistry, Genetics and Molecular Biology, Hemagglutinin gene, Novel sequences, Mutations

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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gold