The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fluorescent-Magnetic-Biotargeting Multifunctional Nanobioprobes for Detecting and Isolating Multiple Types of Tumor Cells
Open accessAbstract
Fluorescent-magnetic-biotargeting multifunctional nanobioprobes (FMBMNs) have attracted great attention in recent years due to their increasing, important applications in biomedical research, clinical diagnosis, and biomedicine. We have previously developed such nanobioprobes for the detection and isolation of a single kind of tumor cells. Detection and isolation of multiple tumor markers or tumor cells from complex samples sensitively and with high efficiency is critical for the early diagnosis of tumors, especially malignant tumors or cancers, which will improve clinical diagnosis outcomes and help to select effective treatment approaches. Here, we expanded the application of the monoclonal antibody (mAb)-coupled FMBMNs for multiplexed assays. Multiple types of cancer cells, such as leukemia cells and prostate cancer cells, were detected and collected from mixed samples within 25 min by using a magnet and an ordinary fluorescence microscope. The capture efficiencies of mAb-coupled FMBMNs for the above-mentioned two types of cells were 96% and 97%, respectively. Furthermore, by using the mAb-coupled FMBMNs, specific and sensitive detection and rapid separation of a small number of spiked leukemia cells and prostate cancer cells in a large population of cultured normal cells (about 0.01% were tumor cells) were achieved simply and inexpensively without any sample pretreatment before cell analysis. Therefore, mAb-coupled multicolor FMBMNs may be used for very sensitive detection and rapid isolation of multiple cancer cells in biomedical research and medical diagnostics.
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
Cho, H.-S., Dong, Z., Pauletti, G. M., Zhang, J., Xu, H., Gu, H., Wang, L., Ewing, R. C., Huth, C., Wang, F., et al. (2010) · ACS Nano · doi:10.1021/nn101000e · Cited by 265
Cited by
Hollow luminescent carbon dots for drug delivery
Wang, Q., Huang, X., Long, Y., Wang, X., Zhang, H., Zhu, R., Liang, L., Teng, P., & Zheng, H. (2013) · Carbon · doi:10.1016/j.carbon.2013.03.009 · Cited by 493
Single Cell Optical Imaging and Spectroscopy
Stender, A. S., Marchuk, K., Liu, C., Sander, S., Meyer, M. W., Smith, E. A., Neupane, B., Wang, G., Li, J., Cheng, J.-X., et al. (2013) · Chemical Reviews · doi:10.1021/cr300336e · Cited by 292
Magnetic separation techniques in sample preparation for biological analysis: A review
He, J., Huang, M., Wang, D., Zhang, Z., & Li, G. (2014) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/j.jpba.2014.04.017 · Cited by 275
Self-citation
Metadata
- Authors
- Song, E.-Q., Hu, J., Wen, C.-Y., Tian, Z.-Q., Yu, X., Zhang, Z.-L., Shi, Y.-B., & Pang, D.-W.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-01-20
- Volume
- 5
- Issue
- 2
- Pages
- 761-770
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2113364354
- Cited by
- 205
- References
- 1
- FWCI
- 14.95
- Type
- journal article
- Language
- en
- Open access
- green
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
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.