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Cited by 497

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Nanopore-based detection of circulating microRNAs in lung cancer patients

Open access
Wang, Yong, Zheng, Dali, Tan, Qiulin, Wang, Michael X., Gu, Li-Qun·2011·Nature Nanotechnology

Abstract

MicroRNAs are short RNA molecules that regulate gene expression. They have been investigated as potential biomarkers because their expression levels are correlated with various diseases. However, the detection of microRNAs in the bloodstream remains difficult because current methods are not sufficiently selective or sensitive. Here, we show that a nanopore sensor based on the alpha-hemolysin protein selectively detected microRNAs at the single molecular level in plasma samples from lung cancer patients without the need for labelling or amplification. The sensor, which used a programmable oligonucleotide probe to generate a target-specific signature signal, was able to quantify sub-picomolar levels of cancer-associated microRNAs and to discriminate single nucleotide differences between microRNA family members. This approach could prove useful for quantitative microRNA detection, biomarker discovery, and the non-invasive early diagnosis of cancer.

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Crossref · 10.1038/nnano.2011.147

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Metadata

Authors
Wang, Y., Zheng, D., Tan, Q., Wang, M. X., & Gu, L.-Q.
Venue
Nature Nanotechnology
Published
2011-09-04
Volume
6
Issue
10
Pages
668-674
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2160448685
Cited by
497
References
4
FWCI
18.96
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Nanopore-based detection of circulating microRNAs in lung cancer patients. https://app.cochat.ai/papers/10.1038/nnano.2011.147
The paper
Wang, Y., Zheng, D., Tan, Q., Wang, M. X., & Gu, L.-Q. (2011). Nanopore-based detection of circulating microRNAs in lung cancer patients. Nature Nanotechnology. https://doi.org/10.1038/nnano.2011.147

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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.