SARS-CoV-2 XBB.1.5 spike escape from adult vs infant sera

Pseudovirus deep mutational scanning of how spike mutations affect neutralization by humans with different exposure histories

Average escape for each serum group

Interactive plots summarizing average escape for each group

Per individual serum escape

Interactive plots of escape for each individual serum

Structure-based visualizations

Interactively visualize escape on the spike structure

Numerical data

CSV files with the numerical values of the measured escape

Overview

This website hosts interactive visualizations of the results reported in Dadonaite et al (2025), which is a study led by Bernadeta Dadonaite in the Bloom lab in collaboration with Mary Staat's group.

The study involves using pseudovirus deep mutational scanning to measure how mutations to the SARS-CoV-2 XBB.1.5 spike affect neutralization by sera from four different groups representing different exposure histories:

Wuhan-Hu-1-imprinted and XBB* infected adult sera
Wuhan-Hu-1 imprinted and XBB* infected children sera
primary XBB* infection infant sera
XBB* infected and vaccinated infant sera

The links in the four boxes above provide links to different ways to visualize the results. For the simplest overview of the data, see the Average escape for each serum group. The other boxes provide additional self-explanatory views of the data.

For details on the XBB.1.5 spike pseudovirus-based deep mutational scanning library, see Dadonaite et al (2024).

For the GitHub repository with the full data and computer code, see https://github.com/dms-vep/SARS-CoV-2_XBB.1.5_spike_DMS_infant_sera