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Updated: May 12, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

From finger pricks to point-and-click.

Manikandan Narayanan1, John S Tsang

  • 1Systems Genomics and Bioinformatics Unit, Laboratory of Systems Biology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.

Immunity
|April 23, 2013
PubMed
Summary
This summary is machine-generated.

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This study compares the human blood-transcriptomic response to pneumococcal and influenza vaccines over time. Interactive figures allow exploration of this complex vaccine response data.

Area of Science:

  • Immunology
  • Vaccinology
  • Systems Biology

Background:

  • Vaccine responses involve complex gene expression changes in blood.
  • Understanding these changes is crucial for vaccine development and efficacy assessment.
  • Previous studies often focused on single time points or limited data.

Discussion:

  • Obermoser et al. provide a comprehensive temporal analysis of blood transcriptomics following vaccination.
  • The study systematically compares responses to pneumococcal and influenza vaccines.
  • This detailed dataset reveals dynamic immune system shifts post-vaccination.

Key Insights:

  • Distinct blood-transcriptomic signatures are observed for pneumococcal and influenza vaccines.
  • Immune responses show significant temporal dynamics, evolving over days to weeks.

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Related Experiment Videos

Last Updated: May 12, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
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  • Interactive web-based figures enable detailed exploration of the complex data.

    • Outlook:

    • This work provides a valuable resource for systems vaccinology research.
    • Further analysis can refine our understanding of vaccine-induced immunity.
    • The interactive platform facilitates hypothesis generation and biomarker discovery.