Sparse transcriptional data is available from malaria vaccine trials and human models of immunisation. Typically, these data are analysed using such methods as significance analysis of microarray (SAM), principal component analysis (PCA), gene set enrichment analysis (GSEA) or generalizable predictive learning models (e.g. SVM). We propose an integrative approach using systems biology methods to identify more global correlates of successful vaccine protective responses to malaria, beyond the specific immune response to the antigens administered, to obtain new methods for measuring early malaria vaccine efficacy and ultimately generating hypotheses for understanding the mechanisms that underlie protective immune responses. One successful example of a Systems Biology approach is the systems analysis of the yellow fever vaccine YF-17D. In this case systems biology has provided insight into its mechanism of action and identified correlates of immunogenicity. No such approach has yet been applied to immunisation against malaria.


For questions or interest in our research, please, contact with:

Carlota Dobaño, PhD
Barcelona Centre for International Health Research (CRESIB)
Hospital Clínic de Barcelona
Universitat de Barcelona
Rosselló 132, 4th floor
08036 Barcelona, Spain