アブストラクト
| Date | 2:00pm January 23, 2023 |
| Speaker | Hideo Matsuda Department of Bioinformatic Engineering, Graduate School of Information Science and Technology, Osaka University |
| Title | Single-Cell Trajectory and Imaging Analyses of Mouse Inflammatory Response |
| Abstract |
Single-cell transcriptome analysis has been widely used to identify
the heterogeneity of cells in various tissues. Understanding
physiological processes in health and disease require the analysis
of the dynamic behavior of cells in tissues under normal and
perturbed conditions. In this study, we have analyzed single-cell
RNA-seq data of leukocytes (neutrophils and monocytes) obtained
from several tissues, including bone marrow, peripheral blood,
spleen, and ear skin in mice. The neutrophils in the skin were
exposed to various inflammatory stimuli. Those cells were isolated
and selected by using a SMARTer ICELL8 system to obtain their
single-cell RNA-seq data. In addition to the RNA-seq data, we
captured time-lapse migration images of mouse neutrophils with
the same stimulation observed by a two-photon excitation microscope.
We have analyzed their stimulation-specific migration behaviors
by identifying the moving velocities of the neutrophils.
By correlating those results between the stimulation-specific
migration behaviors and specific trajectories of cells, we
tried to identify inflammatory responses with those individual
stimuli.
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