Current Perspectives on In Vivo Noninvasive Tracking of Extracellular Vesicles with Molecular Imaging

Joint Authors

Ahn, Byeong-Cheol
Gangadaran, Prakash
Hong, Chae Moon

Source

BioMed Research International

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-01-29

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Medicine

Abstract EN

Clinical and preclinical in vivo tracking of extracellular vesicles (EVs) are a crucial tool for the development and optimization of EV-based diagnosis and treatment.

EVs have gained interest due to their unique properties that make them excellent candidates for biological applications.

Noninvasive in vivo EV tracking has allowed marked progress towards elucidating the mechanisms and functions of EVs in real time in preclinical and clinical studies.

In this review, we summarize several molecular imaging methods that deal with EVs derived from different cells, which have allowed investigations of EV biodistribution, as well as their tracking, delivery, and tumor targeting, to determine their physiological functions and to exploit imaging-derived information for EV-based theranostics.

American Psychological Association (APA)

Gangadaran, Prakash& Hong, Chae Moon& Ahn, Byeong-Cheol. 2017. Current Perspectives on In Vivo Noninvasive Tracking of Extracellular Vesicles with Molecular Imaging. BioMed Research International،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139368

Modern Language Association (MLA)

Gangadaran, Prakash…[et al.]. Current Perspectives on In Vivo Noninvasive Tracking of Extracellular Vesicles with Molecular Imaging. BioMed Research International No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1139368

American Medical Association (AMA)

Gangadaran, Prakash& Hong, Chae Moon& Ahn, Byeong-Cheol. Current Perspectives on In Vivo Noninvasive Tracking of Extracellular Vesicles with Molecular Imaging. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1139368

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1139368