Immune responses are supposed different between individuals and at different times. Personal health histories and unique environmental conditions should collectively determine the present state of immune cells. However, the cellular and molecular system mechanisms underlying such heterogeneity remain largely elusive. Here, we conducted a systematic time-lapse single-cell analysis, using 171 single-cell libraries and 30 mass cytometry 41 datasets intensively for 7 healthy individuals. We found substantial diversity in immune cell populations and their gene expression patterns between different individuals. These patterns showed daily fluctuations even within the same individual spending a usual life. Similar diversities were also observed for the T/B cell receptor repertoires. Detailed immune cell profiles at healthy statuses should give an 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. Single cell immune cell profile data should make fundamental data resource to understand variable immune responses, which are unique to each individual. Discussion will also cover the importance of integrating analytical platforms, exemplifying the case of Medical Genomics Initiative of University of Tokyo, where researchers from a total of 15 departments and two hospitals join.