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Immunosignatures can predict vaccine efficacy

ABSTRACT: Mice were immunized with either formalin fixed Influenza A/PR/8/34 (Killed PR8), the 2006-2007 seasonal influenza vaccine, the 2007-2008 seasonal influenza vaccine, a sublethal infection (live PR8) or mock immunized (PBS). Array data was used to distinguish the immunogens from each other and predict which of the three inactivated vaccines would be protective against A/PR/8/34 challenge. two replicates of each peptide was printed on 1 CIM_10kv3 peptide microarray. One microarray were tested for each sample. Image was qualified using in-house metrics for quality assurance.

ORGANISM(S): Mus musculus

SUBMITTER: Joseph Legutki

PROVIDER: E-GEOD-51623 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Immunosignatures can predict vaccine efficacy.

Legutki Joseph Barten JB Johnston Stephen Albert SA

Proceedings of the National Academy of Sciences of the United States of America 20131028 46

The development of new vaccines would be greatly facilitated by having effective methods to predict vaccine performance. Such methods could also be helpful in monitoring individual vaccine responses to existing vaccines. We have developed "immunosignaturing" as a simple, comprehensive, chip-based method to display the antibody diversity in an individual on peptide arrays. Here we examined whether this technology could be used to develop correlates for predicting vaccine effectiveness. By using a ...[more]

PMID: 24167296

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Immunosignatures can predict vaccine efficacy

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