Recent advances in aptamer-based biosensing technology for isolation and detection of extracellular vesicles Article Swipe
Osama Abdulwahab Alnaser-Almusa
,
Mohamed Mahmoud
,
Mohammad Ilyas
,
Raghda Adwan
,
Farah Abul Rub
,
Noha Alnaser-Almusa
,
Farah Mustafa
,
Sana Ahmed
,
Alaa Alzhrani
,
Tanveer Ahmad Mir
,
Mubarak. Alabudahash
,
Raja Chinnappan
,
Ahmed Yaqinuddin
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fcell.2025.1555687
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fcell.2025.1555687
Since their discovery in the 1970s, extracellular vesicles (EVs) have garnered significant scientific attention due to their involvement in diverse pathological processes, including tumorigenesis. Their unique properties have also piqued interest for various applications such as transporting biomolecules for drug delivery. Researchers have developed numerous isolation and detection methods for EVs, including ultracentrifugation, immunoaffinity capture, and antibody-based biosensors. However, these techniques often suffer from limitations in sensitivity, specificity, and efficiency, hindering their performance and reliability in research and clinical settings. Aptamers are short, single-stranded DNA or RNA molecules created to selectively bind to a specific target and offer a promising alternative to antibodies. These aptamers are identified by a process known as SELEX. By repeatedly selecting and amplifying aptamers with high binding affinity, SELEX can generate aptamers with exceptional specificity and sensitivity. Aptamers can then be incorporated into biosensors, known as aptasensors, for EV isolation, detection, and analysis. Aptasensors offer several advantages over antibody-based methods. They are often more stable, can be produced synthetically at lower cost, and can be easily modified for various applications. Additionally, aptamers can be selected against a wide range of targets, including proteins, nucleic acids, and small molecules, making them versatile tools for EV research. This review discusses various SELEX methods for aptamer detection, the clinical uses of aptamers, and the types of EV analysis methods.
Related Topics
Concepts
Aptamer
Systematic evolution of ligands by exponential enrichment
Computational biology
Biosensor
Nucleic acid
Nanotechnology
Biology
Chemistry
RNA
Molecular biology
Biochemistry
Materials science
Gene
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3389/fcell.2025.1555687
- https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2025.1555687/pdf
- OA Status
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- Cited By
- 1
- References
- 222
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4412596733
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4412596733Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fcell.2025.1555687Digital Object Identifier
- Title
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Recent advances in aptamer-based biosensing technology for isolation and detection of extracellular vesiclesWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-07-23Full publication date if available
- Authors
-
Osama Abdulwahab Alnaser-Almusa, Mohamed Mahmoud, Mohammad Ilyas, Raghda Adwan, Farah Abul Rub, Noha Alnaser-Almusa, Farah Mustafa, Sana Ahmed, Alaa Alzhrani, Tanveer Ahmad Mir, Mubarak. Alabudahash, Raja Chinnappan, Ahmed YaqinuddinList of authors in order
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https://doi.org/10.3389/fcell.2025.1555687Publisher landing page
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https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2025.1555687/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/cell-and-developmental-biology/articles/10.3389/fcell.2025.1555687/pdfDirect OA link when available
- Concepts
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Aptamer, Systematic evolution of ligands by exponential enrichment, Computational biology, Biosensor, Nucleic acid, Nanotechnology, Biology, Chemistry, RNA, Molecular biology, Biochemistry, Materials science, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
- References (count)
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222Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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