Evidence map›Paper›PMID 42122409›Full record

ArticleSensors (Basel, Switzerland)2026

Single-Cell Selective Retrieval Method Using Cone-Shaped Light-Responsive Gas-Generating Polymer Microscaffold Array Chip.

Hidetaka Ueno, Yoshinori Akagi, Shohei Yamamura

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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

3 authors.

Hidetaka UenoCenter for Advanced Medical Engineering Research & Development (CAMED), Kobe University, 1-5-1 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Hyogo, Japan.ORCID 0000-0002-8772-7864
Yoshinori AkagiR&D Center Corporate Advanced Technology Institute Life Science Development Center, Sekisui Chemical Co., Ltd., 2-1 Hyakuyama, Shimamoto-cho 618-0021, Osaka, Japan.
Shohei YamamuraHealth and Medical Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2217-14 Hayashi-cho, Takamatsu 761-0395, Kagawa, Japan.ORCID 0000-0002-4971-4560

Funding

Japan Society for the Promotion of Science JP22H03983Japan Society for the Promotion of Science JP22K14583Japan Society for the Promotion of Science JP23KK0258
6 · The paper itself

Abstract

The detection and retrieval of specific single cells within a cell population is useful for elucidating cellular function as well as early-stage cancer diagnosis by detecting circulating tumor cells. Microcapillaries are used to retrieve specific single cells from cell populations; however, quick single-cell retrieval that firmly adheres to the substrate without damaging the cell is difficult. In this study, we propose a single-cell selective retrieval method using a cone-shaped light-responsive gas-generating polymer (LGP) microscaffold array chip. An LGP microscaffold array chip with cone-shaped LGP microscaffolds was fabricated without any special equipment. When human cervical cancer cells were spread on the LGP microscaffold array chip, adhesion was achieved, and single cells were arranged on up to 73.3% of the cone-shaped LGP microscaffolds. When low-toxicity ultraviolet A light was irradiated from the back of the LGP microscaffold array chip, only a single cell adhering to the cone-shaped LGP microscaffold was released by the generated N

Indexed as

GasesPolymersSingle-Cell AnalysisCell AdhesionHeLa CellsHumansLightGasesPolymerscell chipheterogeneitylight-responsive gas-generating polymersingle-cell analysissingle-cell retrieval

Identifiers

PMID42122409
PMCPMC13165826

What OpenQuestion holds

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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.