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

© 2023. Springer Nature Limited..

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.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:6

Enthalten in:

Communications biology - 6(2023), 1 vom: 06. Sept., Seite 915

Sprache:

Englisch

Beteiligte Personen:

Tanaka, Yumiko [VerfasserIn]
Yamagishi, Mai [VerfasserIn]
Motomura, Yasutaka [VerfasserIn]
Kamatani, Takashi [VerfasserIn]
Oguchi, Yusuke [VerfasserIn]
Suzuki, Nobutake [VerfasserIn]
Kiniwa, Tsuyoshi [VerfasserIn]
Kabata, Hiroki [VerfasserIn]
Irie, Misato [VerfasserIn]
Tsunoda, Tatsuhiko [VerfasserIn]
Miya, Fuyuki [VerfasserIn]
Goda, Keisuke [VerfasserIn]
Ohara, Osamu [VerfasserIn]
Funatsu, Takashi [VerfasserIn]
Fukunaga, Koichi [VerfasserIn]
Moro, Kazuyo [VerfasserIn]
Uemura, Sotaro [VerfasserIn]
Shirasaki, Yoshitaka [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 08.09.2023

Date Revised 19.11.2023

published: Electronic

Citation Status MEDLINE

doi:

10.1038/s42003-023-05297-w

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM361715692