The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Exosome Theranostics: Biology and Translational Medicine
Open accessAbstract
Exosomes are common membrane-bound nanovesicles that contain diverse biomolecules, such as lipids, proteins, and nucleic acids. Exosomes are derived from cells through exocytosis, are ingested by target cells, and can transfer biological signals between local or distant cells. Exosome secretion is a constitutive phenomenon that is involved in both physiological and pathological processes and determines both the exosomal surface molecules and the contents. Hence, we can exploit exosomes as biomarkers, vaccines and drug carriers and modify them rationally for therapeutic interventions. However, it is still a challenge to identify, isolate and quantify exosomes accurately, efficiently and selectively. Further studies on exosomes will explore their potential in translational medicine and provide new avenues for the creation of effective clinical diagnostics and therapeutic strategies; the use of exosomes in these applications can be called exosome theranostics. This review describes the fundamental processes of exosome formation and uptake. In addition, the physiological and pathological roles of exosomes in biology are also illustrated with a focus on how exosomes can be exploited or engineered as powerful tools in translational medicine.
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Cited by
Engineering exosomes for targeted drug delivery
Liang, Y., Duan, L., Lu, J., & Xia, J. (2021) · Theranostics · doi:10.7150/thno.52570 · Cited by 1,547
Exosomes as a new frontier of cancer liquid biopsy
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Effect of exosomal miRNA on cancer biology and clinical applications
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Self-citationThe biology, function, and applications of exosomes in cancer
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Metadata
- Authors
- He, C., Zheng, S., Luo, Y., & Wang, B.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2018
- Volume
- 8
- Issue
- 1
- Pages
- 237-255
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2768241957
- Cited by
- 1,249
- References
- 33
- FWCI
- 17.18
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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