The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Rapid Isolation and Detection of Exosomes and Associated Biomarkers from Plasma
Abstract
Exosomes found in the circulation are a primary source of important cancer-related RNA and protein biomarkers that are expected to lead to early detection, liquid biopsy, and point-of-care diagnostic applications. Unfortunately, due to their small size (50-150 nm) and low density, exosomes are extremely difficult to isolate from plasma. Current isolation methods are time-consuming multistep procedures that are unlikely to translate into diagnostic applications. To address this issue, we demonstrate the ability of an alternating current electrokinetic (ACE) microarray chip device to rapidly isolate and recover glioblastoma exosomes from undiluted human plasma samples. The ACE device requires a small plasma sample (30-50 μL) and is able to concentrate the exosomes into high-field regions around the ACE microelectrodes within 15 min. A simple buffer wash removes bulk plasma materials, leaving the exosomes concentrated on the microelectrodes. The entire isolation process and on-chip fluorescence analysis is completed in less than 30 min which enables subsequent on-chip immunofluorescence detection of exosomal proteins, and provides viable mRNA for RT-PCR analysis. These results demonstrate the ability of the ACE device to streamline the process for isolation and recovery of exosomes, significantly reducing the number of processing steps and time required.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationExosome Biochemistry and Advanced Nanotechnology for Next‐Generation Theranostic Platforms
Yang, B., Chen, Y., & Shi, J. (2019) · Advanced Materials · doi:10.1002/adma.201802896 · Cited by 435
Extracellular vesicles: A bright star of nanomedicine
Wu, P., Zhang, B., Ocansey, D. K. W., Xu, W., & Qian, H. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120467 · Cited by 368
Wang, J., Tang, W., Yang, M., Yin, Y., Li, H., Hu, F., Tang, L., Ma, X., Zhang, Y., & Wang, Y. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2021.120784 · Cited by 317
Lin, Z., Wu, Y., Xu, Y., Li, G., Li, Z., & Liu, T. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01650-5 · Cited by 297
Metadata
- Authors
- Ibsen, S. D., Wright, J., Lewis, J. M., Kim, S., Ko, S.-Y., Ong, J., Manouchehri, S., Vyas, A., Akers, J., Chen, C. C., Carter, B. S., Esener, S. C., & Heller, M. J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-07-03
- Volume
- 11
- Issue
- 7
- Pages
- 6641-6651
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2725999880
- Cited by
- 381
- References
- 1
- FWCI
- 9.61
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rapid Isolation and Detection of Exosomes and Associated Biomarkers from Plasma. https://app.cochat.ai/papers/10.1021/acsnano.7b00549
- The paper
- Ibsen, S. D., Wright, J., Lewis, J. M., Kim, S., Ko, S.-Y., Ong, J., Manouchehri, S., Vyas, A., Akers, J., Chen, C. C., Carter, B. S., Esener, S. C., & Heller, M. J. (2017). Rapid Isolation and Detection of Exosomes and Associated Biomarkers from Plasma. ACS Nano. https://doi.org/10.1021/acsnano.7b00549
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.