Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2021 Nov 19;12:710217. doi: 10.3389/fimmu.2021.710217

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

Copyright © 2021 Lim, Puan, Wang, Teng, Loh, Tan, Carissimo, Chan, Poh, Lee, Fong, Yeo, Chee, Amrun, Chang, Tay, Torres-Ruesta, Leo Fernandez, How, Andiappan, Lee, Duan, Tan, Yan, Kalimuddin, Lye, Leo, Ong, Young, Renia, Ng, Lee and Rötzschke

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PMC Copyright notice

Frequency changes in 38 basic immune cell populations with SARS-CoV-2 infection. (A) Uniform Manifold Approximation and Projection (UMAP) plots of 38 main immune cell populations detected by mass cytometry (left). Right: Bubble representation of fold changes in the detected populations during activeinfection relative to convalescence, with color-coding done on a log2 scale, and bubble size reflecting the percentage of the subset. (B) Frequency-time plots of immune cell populations of interest over the course of disease. Asterisks indicate statistical significance- ns, not significant, *p < 0.03; **p < 0.002; ***p < 0.0002, ****p < 0.0001 (Kruskal-Wallis test with multiple comparison corrected on each disease phases versus healthy controls).