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. Author manuscript; available in PMC: 2023 Dec 1.
Published in final edited form as: Nat Immunol. 2022 Oct 31;23(12):1788–1798. doi: 10.1038/s41590-022-01328-6

Figure 1. An integrated database of transcriptional responses to vaccination.

Figure 1.

A) Workflow for collection, curation, and standardization of datasets in the Immune Signatures Data Resource. B) Histogram of the number of samples included per vaccine at each timepoint. Day 0 represents Day of vaccination. C) Age distribution of participants in the Immune Signatures Data Resource by vaccine. Shape of points denotes the subject’s inferred sex based on Y chromosome-specific gene expression. For participants with missing age data, ages were estimated using RAPToR43. Center line, median; box limits, upper and lower quartiles; whiskers, 1.5x interquartile range. Ebola (RVV): n=13, Hepatitis A/B (IN/RP): n=26, HIV (RVV): n=10, Influenza (IN): n=496, Influenza (LA): n=28, Malaria (RP): n=44, Meningococcus (CJ): n=19, Meningococcus (PS): n=14, Pneumococcus (PS): n=12, Smallpox (LA): n=8, Tuberculosis (RVV): n=12, Varicella Zoster (LA): n=31, Yellow Fever (LA): n=107. D) Bar plot representing the proportion of variance in post-vaccination transcriptional responses that can be attributed to clinical (age, sex, ethnicity) and experimental variables (time after vaccination, vaccine) via Principal Component Variance Analysis. The residual represents the proportion of the variance that could not be explained by any of the included variables.