The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets
Open accessAbstract
Extracellular vesicles and exomere nanoparticles are under intense investigation as sources of clinically relevant cargo. Here we report the discovery of a distinct extracellular nanoparticle, termed supermere. Supermeres are morphologically distinct from exomeres and display a markedly greater uptake in vivo compared with small extracellular vesicles and exomeres. The protein and RNA composition of supermeres differs from small extracellular vesicles and exomeres. Supermeres are highly enriched with cargo involved in multiple cancers (glycolytic enzymes, TGFBI, miR-1246, MET, GPC1 and AGO2), Alzheimer’s disease (APP) and cardiovascular disease (ACE2, ACE and PCSK9). The majority of extracellular RNA is associated with supermeres rather than small extracellular vesicles and exomeres. Cancer-derived supermeres increase lactate secretion, transfer cetuximab resistance and decrease hepatic lipids and glycogen in vivo. This study identifies a distinct functional nanoparticle replete with potential circulating biomarkers and therapeutic targets for a host of human diseases.
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Cites
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Reassessment of exosome composition
Jeppesen, D. K., Fenix, A. M., Franklin, J. L., Higginbotham, J. N., Zhang, Q., Zimmerman, L. J., Liebler, D. C., Ping, J., Liu, Q., Evans, R., et al. (2019) · Cell · doi:10.1016/j.cell.2019.02.029 · Cited by 2,975
Self-citationFatty acid synthase and the lipogenic phenotype in cancer pathogenesis
Menendez, J. A., & Lupu, R. (2007) · Nature Reviews Cancer · doi:10.1038/nrc2222 · Cited by 2,941
Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
Melo, S. A., Luecke, L. B., Kahlert, C., Fernandez, A. F., Gammon, S. T., Kaye, J., LeBleu, V. S., Mittendorf, E. A., Weitz, J., Rahbari, N., et al. (2015) · Nature · doi:10.1038/nature14581 · Cited by 2,880
Routes and mechanisms of extracellular vesicle uptake
Mulcahy, L. A., Pink, R. C., & Carter, D. R. F. (2014) · Journal of Extracellular Vesicles · doi:10.3402/jev.v3.24641 · Cited by 2,832
The PI3K–AKT network at the interface of oncogenic signalling and cancer metabolism
Hoxhaj, G., & Manning, B. D. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0216-7 · Cited by 2,137
Monteil, V., Kwon, H., Prado, P., Hagelkrüys, A., Wimmer, R. A., Stahl, M., Leopoldi, A., Garreta, E., Hurtado del Pozo, C., Prosper, F., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.004 · Cited by 2,122
The role of non-coding RNAs in oncology
Slack, F. J., & Chinnaiyan, A. M. (2019) · Cell · doi:10.1016/j.cell.2019.10.017 · Cited by 1,619
The Science and Translation of Lactate Shuttle Theory
Brooks, G. A. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.03.008 · Cited by 1,486
A day in the life of the spliceosome
Matera, A. G., & Wang, Z. (2014) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3742 · Cited by 1,074
Cited by
Welsh, J. A., Goberdhan, D. C. I., O'Driscoll, L., Buzas, E. I., Blenkiron, C., Bussolati, B., Cai, H., Di Vizio, D., Driedonks, T. A. P., Erdbrügger, U., et al. (2024) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12404 · Cited by 4,663
Extracellular Vesicles and Nanoparticles: Emerging Complexities
Jeppesen, D. K., Zhang, Q., Franklin, J. L., & Coffey, R. J. (2023) · Trends in Cell Biology · doi:10.1016/j.tcb.2023.01.002 · Cited by 705
Self-citationThe role of extracellular vesicles in cancer
Kalluri, R., & McAndrews, K. M. (2023) · Cell · doi:10.1016/j.cell.2023.03.010 · Cited by 664
Visan, K. S., Lobb, R. J., Ham, S., Lima, L. G., Palma, C., Edna, C. P. Z., Wu, L., Gowda, H., Datta, K. K., Hartel, G., et al. (2022) · Journal of Extracellular Vesicles · doi:10.1002/jev2.12266 · Cited by 308
Comprehensive isolation of extracellular vesicles and nanoparticles
Zhang, Q., Jeppesen, D. K., Higginbotham, J. N., Franklin, J. L., & Coffey, R. J. (2023) · Nature Protocols · doi:10.1038/s41596-023-00811-0 · Cited by 294
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Metadata
- Authors
- Zhang, Q., Jeppesen, D. K., Higginbotham, J. N., Graves-Deal, R., Trinh, V. Q., Ramirez, M. A., Sohn, Y., Neininger, A. C., Taneja, N., McKinley, E. T., Niitsu, H., Cao, Z., Evans, R., Glass, S. E., Ray, K. C., Fissell, W. H., Hill, S., Rose, K. L., Huh, W. J., Washington, M. K., Ayers, G. D., Burnette, D. T., Sharma, S., Rome, L. H., Franklin, J. L., Lee, Y. A., Liu, Q., & Coffey, R. J.
- Venue
- Nature Cell Biology
- Published
- 2021-12
- Volume
- 23
- Issue
- 12
- Pages
- 1240-1254
- ISSN
- 1465-7392 (ISSN-L)
- 1476-4679
- OpenAlex
- W4200254733
- Cited by
- 419
- References
- 12
- FWCI
- 17.24
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Zhang, Q., Jeppesen, D. K., Higginbotham, J. N., Graves-Deal, R., Trinh, V. Q., Ramirez, M. A., Sohn, Y., Neininger, A. C., Taneja, N., McKinley, E. T., Niitsu, H., Cao, Z., Evans, R., Glass, S. E., Ray, K. C., Fissell, W. H., Hill, S., Rose, K. L., Huh, W. J., . . . Coffey, R. J. (2021). Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets. Nature Cell Biology. https://doi.org/10.1038/s41556-021-00805-8
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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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