Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 245

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Graphene Quantum Dots as Universal Fluorophores and Their Use in Revealing Regulated Trafficking of Insulin Receptors in Adipocytes

Open access
Zheng, Xin Ting, Than, Aung, Ananthanaraya, Arundithi, Kim, Dong-Hwan, Chen, Peng·2013·ACS Nano

Abstract

Graphene quantum dots (GQDs) hold great promise as a new class of fluorophores for bioimaging, owing to their remarkable physicochemical properties including tunable photoluminescence, excellent photostability, and biocompatibility. Despite their highly anticipated potentials, GQDs have yet to be used to specifically label and track molecular targets involved in dynamic cellular processes in live cells. Here, we demonstrate that GQDs can serve as universal fluorophores for bioimaging because they can be readily conjugated with a wide range of biomolecules while preserving their functionalities. As a proof-of-concept demonstration, insulin-conjugated GQDs have been synthesized and utilized for specific labeling and dynamic tracking of insulin receptors in 3T3-L1 adipocytes. Our experiments reveal, for the first time, that the internalization and recycling of insulin receptors in adipocytes are oppositely regulated by apelin and TNFα, which may contribute to the regulations of these two cytokines in insulin sensitivity.

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 · 10.1021/nn4023137

Cites

2 of 2 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

Cited by

See all 245

Metadata

Authors
Zheng, X. T., Than, A., Ananthanaraya, A., Kim, D.-H., & Chen, P.
Venue
ACS Nano
Published
2013-06-27
Volume
7
Issue
7
Pages
6278-6286
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W1993575187
Cited by
245
References
2
FWCI
12.14
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.