Evidence map›Paper›PMID 39266887›Full record

ArticleBiotechnology letters2024

Immobilization coupling with aptamer assisted dual cycle amplification for sensitive sEVs isolation and analysis.

Yu He, Ying Ren, Jiawen Tang

Abstract read
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In one paragraph

Article in Biotechnology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Yu HeDepartment of Pathology, The Affiliated People's Hospital of Ningbo University, No. 251 Baizhang Road, Yinzhou District, Ningbo, 315040, Zhejiang Province, China. lili15036@sina.com.ORCID http://orcid.org/0009-0008-7319-6733
Ying RenDepartment of Pathology, The Affiliated People's Hospital of Ningbo University, No. 251 Baizhang Road, Yinzhou District, Ningbo, 315040, Zhejiang Province, China.
Jiawen TangDepartment of Pathology, The Affiliated People's Hospital of Ningbo University, No. 251 Baizhang Road, Yinzhou District, Ningbo, 315040, Zhejiang Province, China.

Funding

Zhejiang medicine and health science and technology project No. 2023KY1146
6 · The paper itself

Abstract

Precise identification of small extracellular vesicles (sEVs) is crucial for improving disease diagnosis and treatments, such as bladder cancer. However, accurate isolation and simultaneously quantification of sEVs remain a huge challenge. We have introduced a new technique that combines immobilization with aptamer-assisted dual cycle amplification to isolate and analyze sEVs with high sensitivity. In this method, the CD9 protein antibody is attached to the plate's surface for the initial identification of sEVs, while an aptamer probe is used to detect the exosomal surface protein CD63. We have created an sEVs-surface method that combines target recognition initiated signal recycling and rolling circle amplification (RCA) for signal amplification. This approach allows for the "AND" logic analysis of dual biomarkers, enabling both sEVs quantification and tracing. The proposed approach has a broad detection range and a low limit of detection. Moreover, the established method showed good stability in detecting sEVs with a low coefficient of variation. Our method can effectively isolate certain sEVs and accurately identify them, making it suitable for many uses in biological science, biomedical engineering, and personalized medicine.

Indexed as

Aptamers, NucleotideExtracellular VesiclesNucleic Acid Amplification TechniquesBiosensing TechniquesHumansLimit of DetectionTetraspanin 29Tetraspanin 30Aptamers, NucleotideCD9 protein, humanTetraspanin 29Tetraspanin 30Allosteric probeAptamerRolling circle amplification (RCA)sEVs

Identifiers

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.