Science Immunology

Supplementary Materials

Supplementary Material for:

Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses

HIPC-CHI Signatures Project Team* and HIPC-I Consortium

*Corresponding authors. Email: pkhatri@stanford.edu (P.K.); rgottard@fredhutch.org (R. Gottardo); shenorr@technion.ac.il (S.S.S.-O.); john.tsang@nih.gov (J.S.T.); steven.kleinstein@yale.edu (S.H.K.);

Published 25 August 2017, Sci. Immunol. 2, eaal4656 (2017)
DOI: 10.1126/sciimmunol.aal4656

This PDF file includes:

  • Fig. S1. Distribution of low (blue), moderate (purple), and high (red) responders in the discovery and validation cohorts.
  • Fig. S2. Genes that predict vaccination response in young individuals when comparing moderate responders versus low responders.
  • Fig. S3. Performance of genes significantly different in young high versus low responders.
  • Fig. S4. Baseline activity of the platelet activation (III) (M42) gene module is associated with influenza vaccination responses in young individuals.
  • Fig. S5. Baseline activity of the inflammatory response (M33) gene module is associated with influenza vaccination responses in young individuals.
  • Fig. S6. Validation of GRB2, ACTB, MVP, DPP7, ARPC4, PLEKHB2, and ARRB1 as predictors of influenza vaccination response in the validation cohort (SDY80) after correction for cell subset proportions.
  • Table S1. Characteristics of the discovery and validation cohorts for young and older participants.
  • Table S2. Gene module activities that are associated with vaccination response in the discovery cohorts for older participants.
  • Table S3. Validation of gene modules that are associated with vaccination response in KEGG and Reactome and the modules defined in Obermoser et al. for young participants.

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