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Cited by 167

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Observation of Individual Microtubule Motor Steps in Living Cells with Endocytosed Quantum Dots

Nan, Xiaolin, Sims, Peter A., Chen, Peng, Xie, X. Sunney·2005·The Journal of Physical Chemistry B

Abstract

We report the observation of individual steps taken by motor proteins in living cells by following movements of endocytic vesicles that contain quantum dots (QDs) with a fast camera. The brightness and photostability of quantum dots allow us to record motor displacement traces with 300 micros time resolution and 1.5 nm spatial precision. We observed individual 8 nm steps in active transport toward both the microtubule plus- and minus-ends, the directions of kinesin and dynein movements, respectively. In addition, we clearly resolved abrupt 16 nm steps in the plus-end direction and often consecutive 16 nm and occasional 24 nm steps in minus-end directed movements. This work demonstrates the ability of the QD assay to probe the operation of motor proteins at the molecular level in living cells under physiological conditions.

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Metadata

Authors
Nan, X., Sims, P. A., Chen, P., & Xie, X. S.
Venue
The Journal of Physical Chemistry B
Published
2005-12-01
Volume
109
Issue
51
Pages
24220-24224
ISSN
  • 1520-5207 (ISSN-L)
  • 1520-6106
OpenAlex
W2168002602
Cited by
167
References
7
FWCI
7.42
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Observation of Individual Microtubule Motor Steps in Living Cells with Endocytosed Quantum Dots. https://app.cochat.ai/papers/10.1021/jp056360w
The paper
Nan, X., Sims, P. A., Chen, P., & Xie, X. S. (2005). Observation of Individual Microtubule Motor Steps in Living Cells with Endocytosed Quantum Dots. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp056360w

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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.