Evidence map›Paper›PMID 41924576›Full record

ArticleChemical science2026

A general and scalable DNA nano-chip with a fully localized architecture enables biocomputing in living cells and precisely induces cell apoptosis.

Jintao Yi, Tingting Chen, Jinghong Li

Abstract read
In one paragraph

Article in Chemical science, 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.

Jintao YiState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China chenting1104@hnu.edu.cn.ORCID https://orcid.org/0000-0002-0798-0617
Tingting ChenState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan University Changsha 410082 P. R. China chenting1104@hnu.edu.cn.ORCID https://orcid.org/0000-0002-8067-0287
Jinghong LiBeijing Life Science Academy Beijing 102209 China jhli@mail.tsinghua.edu.cn.ORCID https://orcid.org/0000-0002-0750-7352

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA logic circuits have made important progress towards mimicking functions analogous to silicon-based electronic circuits. However, because of limitations in the orthogonality of free-floating DNA logic components and difficulty in controlling the intrinsically random collision of DNA molecules, the complexity, scalability, and information processing ability of DNA circuits are still constrained. Here, we demonstrate a general and scalable DNA nano-chip by integration of multilayer basic DNA logic gates on a DNA origami structure. We created basic DNA logic gates based on DNA localized strand displacement reactions. The basic logic gates were modularly combined into circuits by spatially arranging all of the reactive DNA components on a DNA origami structure according to the wiring instructions, establishing the generality and scalability of our DNA origami-based nano-chips. We showed that up to 11 addressable logic components were reconfigured in a single nano-chip for seven-input multi-level logic cascading and parallel biocomputing, executing highly complex tasks. We further integrated three layers of cascade logic units on the nano-chip for intracellular molecular biocomputing to execute precise identification and specific killing of tumor cells. Compared to circuits with diffusible components, our nano-chip enabled the performance of more efficient biocomputing both in solution and in living cells. Thus, we anticipate that our strategy will hold great potential for building complex DNA computing networks to perform powerful biological functions.

Identifiers

PMID41924576
PMCPMC13036796

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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.