Evidence map›Paper›PMID 41872471›Full record

ArticleCommunications biology2026

Expanded iOn switch toolkit enables flexible clonal labeling and dynamic imaging in model and non-model animals.

Zi Chao Ngiam, Kyosuke Wada, Jun Hatakeyama, Yuki Y Yamauchi, Takuya Kaneko, Pauline Rouillard, Haruka Sato, Masahiko Hibi, Ikuo K Suzuki, Carina Hanashima and 2 more

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Zi Chao Ngiam *Department of Biology, Faculty of Education and Integrated Arts and Sciences, Waseda University, Tokyo, Japan.
Kyosuke Wada *Developmental Neuroscience Project, Department of Basic Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.
Jun HatakeyamaInstitute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, Japan.
Yuki Y YamauchiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Takuya KanekoDepartment of Biological Science, Graduate School of Science, Nagoya University, Aichi, Nagoya, Japan.
Pauline RouillardDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.
Haruka SatoInstitute of Molecular Embryology and Genetics, Kumamoto University, 2-2-1 Honjo, Chuo-ku, Kumamoto, Japan.
Masahiko HibiDepartment of Biological Science, Graduate School of Science, Nagoya University, Aichi, Nagoya, Japan.ORCID http://orcid.org/0000-0002-9142-4444
Ikuo K SuzukiDepartment of Biological Sciences, Graduate School of Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0003-2896-0292
Carina HanashimaDepartment of Biology, Faculty of Education and Integrated Arts and Sciences, Waseda University, Tokyo, Japan.ORCID http://orcid.org/0009-0009-4621-696X
Chiaki Ohtaka-MaruyamaDevelopmental Neuroscience Project, Department of Basic Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan.ORCID http://orcid.org/0000-0002-0632-7341
Takuma KumamotoDevelopmental Neuroscience Project, Department of Basic Medical Sciences, Tokyo Metropolitan Institute of Medical Science, Tokyo, Japan. kumamoto-tk@igakuken.or.jp.ORCID http://orcid.org/0000-0002-2326-0783

Funding

MEXT | Japan Society for the Promotion of Science (JSPS) 2020L0019MEXT | Japan Society for the Promotion of Science (JSPS) 20K22665MEXT | Japan Society for the Promotion of Science (JSPS) 22H02638Mochida Memorial Foundation for Medical and Pharmaceutical Research FY2022Takeda Medical Research Foundation FY2021
6 · The paper itself

Abstract

Understanding how neural progenitors generate diverse neuronal subtypes is central to developmental and evolutionary neuroscience. Lineage tracing is a key tool for dissecting these processes, but existing methods are often constrained by stochastic expression, recombination bias, or reliance on transgenic models-limitations that restrict their application in non-model organisms. Here, we present an enhanced iOn switch system optimized for evo-devo research. Leveraging its modular, integration-based transgene expression logic, we developed a tunable labeling strategy that enables both sparse and dense labeling within a single framework. We further expanded the system's fluorescent palette and introduced subcellular targeting options to support multiclonal analysis and stable time-lapse imaging. Finally, we demonstrate the versatility of this approach across a wide range of vertebrate species, including mouse, guinea pig, rat, chick, turtle, and zebrafish, thereby establishing the iOn switch system as a flexible and accessible tool for evo-devo research.

Indexed as

Neural Stem CellsStaining and LabelingAnimalsCell LineageModels, AnimalNeuronsTime-Lapse Imaging

Identifiers

PMID41872471
PMCPMC13171893

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Registered trials

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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.