Evidence map›Paper›PMID 41387702›Full record

ArticleNature communications2025

Chemically gated artificial nanochannels for programmable subcellular signal modulated transport regulation.

Man-Sha Wu, Xi-Chen Du, Ze-Rui Zhou, Xiao-Yuan Wang, Shi-Yu Zheng, Jian Lv, Bin-Bin Chen, Da-Wei Li, Ruo-Can Qian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. 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

9 authors.

Man-Sha WuKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Xi-Chen DuKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Ze-Rui ZhouDepartment of Chemistry, University of Texas at Austin, Austin, TX, USA.
Xiao-Yuan WangKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Shi-Yu ZhengKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Jian LvSchool of Chemical and Environmental Engineering, Shanghai Institute of Technology, Shanghai, PR China.
Bin-Bin ChenKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Da-Wei LiKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China.
Ruo-Can QianKey Laboratory for Advanced Materials, East China University of Science and Technology, Shanghai, PR China. ruocanqian@ecust.edu.cn.ORCID http://orcid.org/0000-0002-1039-9866

Funding

Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 23ZR1416100, 24DX1400200
6 · The paper itself

Abstract

Biomimetic artificial nanochannels have been developed rapidly because of their promising potentials in biomedical applications. Here we report the design of chemically gated artificial nanochannels to perform transmembrane channel-mimetic permeability transition via the multi-functional DNA components modified at the inner surface, whereby the structure and charge of the DNA components can be tuned by multiple key chemical signals. We realize the targeted capture of a single mitochondrion in single living cells, which allows in situ response of multiple mitochondrial signals (Ca

Indexed as

MitochondriaNanostructuresBiological TransportCalciumDNAHeLa CellsHumansMembrane Potential, MitochondrialReactive Oxygen SpeciesRotenoneCalciumDNAReactive Oxygen SpeciesRotenone

Identifiers

PMID41387702
PMCPMC12748639

What OpenQuestion holds

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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.