Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 206

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

A transistor-like pH nanoprobe for tumour detection and image-guided surgery

Open access
Zhao, Tian, Huang, Gang, Li, Yang, Yang, Shunchun, Ramezani, Saleh, Lin, Zhiqiang, Wang, Yiguang, Ma, Xinpeng, Zeng, Zhiqun, Luo, Min, de Boer, Esther, Xie, Xian-Jin, Thibodeaux, Joel, Brekken, Rolf A., Sun, Xiankai, Sumer, Baran D., Gao, Jinming·2016·Nature Biomedical Engineering

Abstract

It is challenging to detect a broad range of malignant tumours at high resolution, because of profound genetic and histological differences in cancerous tissue. Here, we report the design and performance of a fluorescent nanoprobe with transistor-like responses (transition pH = 6.9) for the detection of deregulated pH, which drives many of the invasive properties of cancer. The nanoprobe amplifies the fluorescence signal in the tumour over that in the surrounding normal tissues, resulting in a discretized, binary output signal with a spatial resolution smaller than 1 mm. The nanoprobe allowed us to image a broad range of tumours in mouse models using a variety of clinical cameras. We were able to perform real-time tumour-acidosis-guided detection and surgery of occult nodules (<1 mm3) in mice bearing head and neck or breast tumours, significantly lengthening mice survivability. We also show that the pH nanoprobe can be used as a reporter in a fast, quantitative assay to screen for tumour-acidosis inhibitors. The binary delineation of pH achieved by the nanoprobe promises to improve the accuracy of cancer detection, surveillance and therapy. A fluorescent nanoprobe that amplifies the fluorescent signal in a broad range of tumours allows for real-time tumour-acidosis-guided detection and surgery of occult, less-than-1-mm3 nodules in mice bearing head and neck or breast tumours.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41551-016-0006

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 3 references

Cited by

See all 206

Metadata

Authors
Zhao, T., Huang, G., Li, Y., Yang, S., Ramezani, S., Lin, Z., Wang, Y., Ma, X., Zeng, Z., Luo, M., de Boer, E., Xie, X.-J., Thibodeaux, J., Brekken, R. A., Sun, X., Sumer, B. D., & Gao, J.
Venue
Nature Biomedical Engineering
Published
2016-12-19
Volume
1
Issue
1
ISSN
2157-846X (ISSN-L)
OpenAlex
W2561946069
Cited by
206
References
3
FWCI
8.51
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A transistor-like pH nanoprobe for tumour detection and image-guided surgery. https://app.cochat.ai/papers/10.1038/s41551-016-0006
The paper
Zhao, T., Huang, G., Li, Y., Yang, S., Ramezani, S., Lin, Z., Wang, Y., Ma, X., Zeng, Z., Luo, M., de Boer, E., Xie, X.-J., Thibodeaux, J., Brekken, R. A., Sun, X., Sumer, B. D., & Gao, J. (2016). A transistor-like pH nanoprobe for tumour detection and image-guided surgery. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-016-0006

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.