Evidence map›Paper›PMID 42177333›Full record

ArticleCommunications biology2026

Divalent aptamer-mediated clustering for extracellular vesicle separation.

Xiaoling Liu, Taiyi Zhang, Qi Zhang, Biying Yan, Bin Liu, Yaxuan Liang

Abstract read
In one paragraph

Article in Communications biology, 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

6 authors.

Xiaoling Liu *Department of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.
Taiyi Zhang *Department of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.
Qi ZhangDepartment of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.
Biying YanDepartment of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China.
Bin LiuCancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, China. liubin@ccmu.edu.cn.
Yaxuan LiangDepartment of Biology, Faculty of Arts and Sciences, Beijing Normal University at Zhuhai, Zhuhai, China. y.liang@bnu.edu.cn.ORCID 0000-0003-2729-5171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are important mediators of intercellular communication and promising sources of diagnostic and therapeutic biomarkers, yet effective EV isolation remains challenging due to trade-offs among yield, purity, and adaptability across biofluids. Here, we introduce divalent aptamer-mediated clustering (DAC), a streamlined affinity-based EV isolation strategy that induces controllable vesicle clustering and enables recovery by standard filtration. By exploiting multivalent aptamer binding to EV surface markers, DAC converts nanoscale vesicles into micron-scale clusters while preserving EV integrity and biological activity. We demonstrate robust EV isolation from plasma, urine, and cell culture media, and benchmark DAC against ultracentrifugation, density gradient ultracentrifugation, and size-exclusion chromatography. DAC achieves comparable or improved EV yield and purity with reduced processing time, cost, and operational complexity. Proteomic and metabolomic analyses show that DAC isolates affinity-defined EV subpopulations with cargo profiles distinct from those obtained using conventional methods. Moreover, DAC is readily adapted to alternative EV targets, exemplified by enrichment of EpCAM-positive EVs. Together, DAC provides a versatile and accessible platform for studying EV heterogeneity, function, and molecular composition.

Indexed as

Aptamers, NucleotideExtracellular VesiclesHumansProteomicsUltracentrifugationAptamers, Nucleotide

Identifiers

PMID42177333
PMCPMC13478288

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.