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Detection of Cancer-Derived Exosomes Using a Sensitive Colorimetric Aptasensor

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Extracellular Vesicles in Diagnosis and Therapy

Part of the book series: Methods in Molecular Biology ((MIMB,volume 2504))

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Abstract

Exosomes are a type of extracellular vesicles that contain constituents including proteins, DNAs, and RNAs of the cells that secrete them. Cancerous exosomes are potential biomarkers for cancer diagnosis. Biosensors are useful analytical tools for quantification of biomarkers and targeted molecules. An aptasensor uses the aptamer as the biorecognition element to bind to the target and is one main type of biosensors that is promising for exosomes analysis and clinical cancer detection. The assay described in this chapter allows for reliable, sensitive, and specific detection of cancer-derived exosomes using a colorimetric aptasensor that is promising for point-of-care testing.

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Authors and Affiliations

  1. Hangzhou Global Scientific and Technological Innovation Center, Zhejiang University, Hangzhou, China

    Lizhou Xu

  2. Institute for Pharmaceutical Science, King’s College London, London, UK

    Lizhou Xu & Khuloud T. Al-Jamal

Authors
  1. Lizhou Xu
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  2. Khuloud T. Al-Jamal
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Corresponding author

Correspondence to Khuloud T. Al-Jamal .

Editor information

Editors and Affiliations

  1. National Center for Global Health, Istituto Superiore di Sanità, Rome, Italy

    Maurizio Federico

  2. National Center for Global Health, Istituto Superiore di Sanità, Rome, Italy

    Barbara Ridolfi

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© 2022 The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature

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Xu, L., Al-Jamal, K.T. (2022). Detection of Cancer-Derived Exosomes Using a Sensitive Colorimetric Aptasensor. In: Federico, M., Ridolfi, B. (eds) Extracellular Vesicles in Diagnosis and Therapy. Methods in Molecular Biology, vol 2504. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2341-1_2

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  • DOI: https://doi.org/10.1007/978-1-0716-2341-1_2

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  • Publisher Name: Humana, New York, NY

  • Print ISBN: 978-1-0716-2340-4

  • Online ISBN: 978-1-0716-2341-1

  • eBook Packages: Springer Protocols

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