Intensive single-cell analysis reveals immune-cell diversity among healthy individuals

Yukie Kashima, Keiya Kaneko, Patrick Reteng, Nina Yoshitake, Lucky Ronald Runtuwene, Satoi Nagasawa, Masaya Onishi, Masahide Seki, Ayako Suzuki, Sumio Sugano, Mamiko Sakata-Yanagimoto, Yumiko Imai, Kaori Nakayama-Hosoya, Ai Kawana-Tachikawa, Taketoshi Mizutani, Yutaka Suzuki*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)

Abstract

Immune responses are different between individuals and personal health histories and unique environmental conditions should collectively determine the present state of immune cells. However, the molecular systems underlying such heterogeneity remain elusive. Here, we conducted a systematic time-lapse single-cell analysis, using 171 single-cell libraries and 30 mass cytometry datasets intensively for seven healthy individuals. We found substantial diversity in immune-cell profiles between different individuals. These patterns showed daily fluctuations even within the same individual. Similar diversities were also observed for the T-cell and B-cell receptor repertoires. Detailed immune-cell profiles at healthy statuses should give essential background information to understand their immune responses, when the individual is exposed to various environmental conditions. To demonstrate this idea, we conducted the similar analysis for the same individuals on the vaccination of influenza and SARS-CoV-2. In fact, we detected distinct responses to vaccines between individuals, although key responses are common. Single-cell immune-cell profile data should make fundamental data resource to understand variable immune responses, which are unique to each individual.

Original languageEnglish
Article numbere202201398
JournalLife Science Alliance
Volume5
Issue number7
DOIs
Publication statusPublished - Jul 2022
Externally publishedYes

Fingerprint

Dive into the research topics of 'Intensive single-cell analysis reveals immune-cell diversity among healthy individuals'. Together they form a unique fingerprint.

Cite this