Evidence map›Paper›PMID 42897148›Full record

ArticleMicrosystems & nanoengineering2026

Microcapillary-assisted acoustoelectric platform for selective single-cell isolation and in situ transfection.

Xuefeng Xu, Ziqiao Zhou, Guangyang Li, Jie Liang, Jianhui Wu, Jiaqi Lu, Fang Shen, Shengjun Wu, Zhi Ruan, Shurong Dong and 2 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 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.

Xuefeng Xu *College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Ziqiao Zhou *International Research Center for Information Science and Electronic Engineering, Zhejiang University, Haining, 314400, China.
Guangyang LiCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Jie LiangCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Jianhui WuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Jiaqi LuCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.
Fang ShenDepartment of Clinical Laboratory, Shaoxing Second Hospital, Shaoxing, China.
Shengjun WuDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China. 3202107@zju.edu.cn.
Zhi RuanDepartment of Clinical Laboratory, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China. r_z@zju.edu.cn.ORCID http://orcid.org/0000-0001-8648-4592
Shurong DongCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.ORCID http://orcid.org/0000-0002-8715-7072
Jikui LuoCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China.ORCID http://orcid.org/0000-0003-0310-2443
Zhen CaoCollege of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, 310027, China. eezcao@zju.edu.cn.ORCID http://orcid.org/0000-0002-5440-3628

Funding

Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR26F030004
6 · The paper itself

Abstract

Single-cell transfection technologies hold tremendous promise for precision cell and immunotherapies. However, monolithic integration of cell isolation with targeted intracellular delivery remains technically challenging, especially within complex biological matrices. Herein, we present a microcapillary-assisted acoustoelectric single-cell selective isolation and sonoporative transfection platform (μC-ASSIST), which seamlessly sequences microcapillary-assisted dielectrophoresis (μC-DEP) for deterministic single-cell trapping with high-frequency surface acoustic waves (SAWs) for transient membrane poration within a unified workflow. We demonstrate the label-free, high-efficiency extraction of human non-small cell lung cancer (A549) cells from a complex white blood cell (WBC) background with a capture efficiency of 95%. Furthermore, we validate the highly efficient, contact-free intracellular delivery of diverse cargoes ranging from small dyes (PI) to functional small interfering RNA (siRNA) and large plasmid DNA (mRFP-C3), maintaining a high cell viability of 83.7% alongside a 78.1% transfection efficiency. Crucially, the targeted delivery of siBcl-xL significantly suppressed target mRNA expression and profoundly inhibited tumor cell motility. By circumventing off-target effects and cumbersome manual handling, the μC-ASSIST platform establishes a highly versatile, streamlined paradigm for precision single-cell engineering, holding immense potential for advancing functional genomics and next-generation gene therapies.

Identifiers

PMID42897148
PMCPMC13680384

What OpenQuestion holds

Textmetadata
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.