Evidence map›Paper›PMID 37673922›Full record

ArticleCommunications biology2023

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

Yumiko Tanaka, Mai Yamagishi, Yasutaka Motomura, Takashi Kamatani, Yusuke Oguchi, Nobutake Suzuki, Tsuyoshi Kiniwa, Hiroki Kabata, Misato Irie, Tatsuhiko Tsunoda and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. The immunology of asthma.Nature immunology · 2025
    Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 9 institutions in 3 countries.

Yumiko TanakaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Mai YamagishiGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4449-5899
Yasutaka MotomuraDepartment of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Takashi KamataniDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Yusuke OguchiPRESTO, JST, Saitama, Japan.ORCID http://orcid.org/0000-0003-1962-4334
Nobutake SuzukiGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.
Tsuyoshi KiniwaRIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Hiroki KabataDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Misato IrieDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Tatsuhiko TsunodaDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-5439-7918
Fuyuki MiyaCenter for Medical Genetics, Keio University School of Medicine, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6758-2015
Keisuke GodaDepartment of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-6302-6038
Osamu OharaKazusa DNA Research Institute, Chiba, Japan.ORCID http://orcid.org/0000-0002-3328-9571
Takashi FunatsuGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9656-8308
Koichi FukunagaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Kazuyo MoroDepartment of Microbiology and Immunology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Sotaro UemuraDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan. uemura@bs.s.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0001-9701-1803
Yoshitaka ShirasakiGraduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan. shirasaki@g.ecc.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-3808-1630
The University of Tokyo · JPKeio University · JPRIKEN Center for Integrative Medical Sciences · JPJapan Science and Technology Agency · JPKazusa DNA Research Institute · JPShanghai Cell Therapy Research Institute · CNThe University of Osaka · JPTokyo Medical and Dental University · JPUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Immunity, InnateLymphocytesGene Expression ProfilingTranscriptome

Identifiers

PMID37673922
PMCPMC10482971
OpenAlexW4386476726

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.