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Time-dependent cell-state selection identifies transiently expressed genes regulating ILC2 activation

Authors :
Yumiko Tanaka
Mai Yamagishi
Yasutaka Motomura
Takashi Kamatani
Yusuke Oguchi
Nobutake Suzuki
Tsuyoshi Kiniwa
Hiroki Kabata
Misato Irie
Tatsuhiko Tsunoda
Fuyuki Miya
Keisuke Goda
Osamu Ohara
Takashi Funatsu
Koichi Fukunaga
Kazuyo Moro
Sotaro Uemura
Yoshitaka Shirasaki
Source :
Communications Biology, Vol 6, Iss 1, Pp 1-11 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract The decision of whether cells are activated or not is controlled through dynamic intracellular molecular networks. However, the low population of cells during the transition state of activation renders the analysis of the transcriptome of this state technically challenging. To address this issue, we have developed the Time-Dependent Cell-State Selection (TDCSS) technique, which employs live-cell imaging of secretion activity to detect an index of the transition state, followed by the simultaneous recovery of indexed cells for subsequent transcriptome analysis. In this study, we used the TDCSS technique to investigate the transition state of group 2 innate lymphoid cells (ILC2s) activation, which is indexed by the onset of interleukin (IL)-13 secretion. The TDCSS approach allowed us to identify time-dependent genes, including transiently induced genes (TIGs). Our findings of IL4 and MIR155HG as TIGs have shown a regulatory function in ILC2s activation.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
23993642
Volume :
6
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.b459375fcb0445819704a657f99bc075
Document Type :
article
Full Text :
https://doi.org/10.1038/s42003-023-05297-w