ReviewMolecular biology reports2023
A review of advances in aptamer-based cell detection technology.
Review in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Establishment of a Split Aptamer-based Lateral Flow Dipstick for the Detection of Phaeocystis globosa.Marine biotechnology (New York, N.Y.) · 2026Article
- Advancements in aptasensors development for the detection of zearalenone.Frontiers in nutrition · 2026Review
- A FRET Aptasensor Based on N-CQDs for Detection of Cardiac Troponin I in Acute Myocardial Infarction Diagnosis.International journal of nanomedicine · 2026Article
- A novel self-autocatalytic DNAzyme and catalytic hairpin assembly molecular circuit for highly sensitive and non-label fluorescence aptamer glypican-3 assay.Analytical and bioanalytical chemistry · 2025Article
- A Chromatography Test Strip of Exonuclease III-Amplified Aptamer for Rapid Identification of Prorocentrum minimum.Marine biotechnology (New York, N.Y.) · 2025Article
- Optimized detection of Salmonella typhimurium using aptamer lateral flow assay.Biotechnology letters · 2024Article
- Recent Advances in Design and Application of Nanomaterials-Based Colorimetric Biosensors for Agri-food Safety Analysis.ACS omega · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Since cells are the basic structural and functional units of organisms, the detection or quantitation of cells is one of the most common basic problems in life science research. The established cell detection techniques mainly include fluorescent dye labeling, colorimetric assay, and lateral flow assay, all of which employ antibodies as cell recognition elements. However, the widespread application of the established methods generally dependent on antibodies is limited, because the preparation of antibodies is complicated and time-consuming, and unrecoverable denaturation is prone to occur with antibodies. By contrast, aptamers that are generally selected through the systematic evolution of ligands by exponential enrichment can avoid the disadvantages of antibodies due to their controllable synthesis, thermostability, and long shelf life, etc. Accordingly, aptamers may serve as novel molecular recognition elements like antibodies in combination with various techniques for cell detection. This paper reviews the developed aptamer-based cell detection methods, mainly including aptamer-fluorescent labeling, aptamer-isothermal amplification assay, electrochemical aptamer sensor, aptamer-based lateral flow analysis, and aptamer-colorimetric assay. The principles, advantages, progress of application in cell detection and future development trend of these methods were specially discussed. Overall, different assays are suitable for different detection purposes, and the development of more accurate, economical, efficient, and rapid aptamer-based cell detection methods is always on the road in the future. This review is expected to provide a reference for achieving efficient and accurate detection of cells as well as improving the usefulness of aptamers in the field of analytical applications.
Indexed as
Identifiers
37101007What OpenQuestion holds
Registered trials
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.