Genetically Encoded FRET-Based Nanosensor for Real-Time Monitoring of A549 Exosomes: Early Diagnosis of Cancer.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
04 04 2023
Historique:
medline: 5 4 2023
pubmed: 24 3 2023
entrez: 23 3 2023
Statut: ppublish

Résumé

Exosomes contain a plethora of unique disease biomarkers involving cellular homeostasis, infection dissemination, cancer development, and cardiac diseases. Exosomes originating from cancer cells have promising biomarkers for the early detection and assessment of the therapeutic response to cancer. The exosomal epidermal growth factor receptor (EGFR) is a potential biomarker which is overexpressed in cancer; thus, the level of EGFR expression is investigated by so many methods in a liquid and solid biopsy. The optimal method for isolating pure exosomal EGFRs has not been well understood so far. Current approaches are complicated and time-consuming, therefore hampering their clinical applications. Here, we demonstrate the creation of an innovative fluorescence resonance energy transfer (FRET) sensor, named ExoSen (exosome sensor), which can be implemented to determine the concentration of exosomal EGFRs at in vitro as well as in vivo levels. In this study, a sensing element for A549 exosomes, mitogen-inducible gene 6 (MIG6), has been employed between the FRET pair ECFP and Venus. MIG6 binding to ExoSen induced a conformational change that can be monitored by a variation in the FRET ratio. Moreover, the developed sensor, expressed in bacterial, yeast, and HEK-293T cells, demonstrates an increased FRET ratio with the addition of A549 exosomes, which can quantify the A549 exosomes noninvasively. The ExoSen enables rapid detection of A549 exosomes with great sensitivity at a concentration of 3.5 × 10

Identifiants

pubmed: 36959115
doi: 10.1021/acs.analchem.2c05774
doi:

Substances chimiques

ErbB Receptors EC 2.7.10.1

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

5738-5746

Auteurs

Reshma Bano (R)

Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India.

Neha Soleja (N)

Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India.

Mohd Mohsin (M)

Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India.

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Classifications MeSH