Evidence map›Paper›PMID 40171128›Full record

ReviewChem & bio engineering2025

Advances in Cell Separation: Harnessing DNA Nanomaterials for High-Specificity Recognition and Isolation.

Huimin Bao, Yao Yao, Wenqi Tang, Dayong Yang

Abstract readReview
In one paragraph

Review in Chem & bio engineering, 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

4 authors.

Huimin BaoDepartment of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Chemistry and Materials, Fudan University, Shanghai, 200438, P.R. China.
Yao YaoDepartment of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Chemistry and Materials, Fudan University, Shanghai, 200438, P.R. China.
Wenqi TangDepartment of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Chemistry and Materials, Fudan University, Shanghai, 200438, P.R. China.
Dayong YangDepartment of Chemistry, State Key Laboratory of Molecular Engineering of Polymers, Shanghai Key Laboratory of Molecular Catalysis and Innovative Materials, College of Chemistry and Materials, Fudan University, Shanghai, 200438, P.R. China.ORCID https://orcid.org/0000-0002-2634-9281

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advancements in cell separation are essential for understanding cellular phenotypes and functions, with implications for both research and therapeutic applications. This review examines the evolution of cell separation techniques, categorizing them into physical and affinity-based methods, with a primary focus on the latter due to its high specificity. Among affinity techniques, DNA nanomaterials have emerged as powerful tools for biomolecular recognition owing to their unique properties and diverse range of nanostructures. We discuss various DNA nanomaterials, including linear aptamers, multivalent DNA constructs, DNA origami, and DNA hydrogels and their roles in cell recognition and separation. Each section highlights the distinctive characteristics of these DNA nanostructures, providing examples from recent studies that demonstrate their applications in cell isolation and release. We also compare the four DNA nanomaterials, outlining their individual contributions and identifying the remaining challenges and opportunities for further development. We conclude that DNA nanotechnology holds great promise as a transformative solution for cell separation, particularly in the context of personalized therapeutics.

Identifiers

PMID40171128
PMCPMC11955853

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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.