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Updated: Feb 15, 2026

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Transcriptomics in Human Challenge Models.

Amber J Barton1, Jennifer Hill1, Andrew J Pollard1

  • 1Oxford Vaccine Group, Department of Paediatrics, University of Oxford and the NIHR Oxford Biomedical Research Centre, Oxford, United Kingdom.

Frontiers in Immunology
|January 13, 2018
PubMed
Summary
This summary is machine-generated.

Human challenge studies using transcriptomics reveal immune correlates of protection. This approach identifies early immune responses and host factors, aiding vaccine design and disease diagnosis.

Keywords:
biomarkersexperimental infectionexpressionfunctional genomicshuman challengemicroarraytranscriptomicsvaccines

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Area of Science:

  • Immunology
  • Genomics
  • Infectious Diseases

Background:

  • Human challenge models offer direct insights into natural and vaccine-induced immunity.
  • Transcriptomics applied to these models can identify novel correlates of protection and immunological pathways.
  • Understanding early immune responses is crucial for predicting disease outcome and developing interventions.

Purpose of the Study:

  • To review the application of transcriptomics in human challenge studies.
  • To highlight the identification of novel correlates of protection and immunological insights.
  • To demonstrate the value of transcriptional data for vaccine design and biomarker discovery.

Main Methods:

  • Application of transcriptomics (gene expression analysis) to samples from human challenge studies.
  • Analysis of immune responses preceding symptom onset.
  • Identification of host factors contributing to disease susceptibility.

Main Results:

  • Innate immune pathways play a significant role in protection against malaria.
  • Early gene signatures in influenza challenge studies show diagnostic potential for presymptomatic individuals.
  • Host factors like C4BPA expression influence susceptibility to enterotoxigenic Escherichia coli infection.

Conclusions:

  • Transcriptional data from human challenge trials are exceptionally valuable.
  • Molecular data analysis can significantly impact global health through rational vaccine design.
  • Biomarker discovery is enhanced by transcriptomic insights from human challenge studies.