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Cited by 439

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

Probing Cellular Chemistry in Biological Systems with Microelectrodes

Wightman, R. Mark·2006·Science

Abstract

Over the past 20 years, the technological impediments to fabricating electrodes of micrometer dimensions have been largely overcome. These small electrodes can be readily applied to probe chemical events at the surface of tissues or individual biological cells; they can even be used to monitor concentration changes within intact animals. These measurements can be made on rapid time scales and with minimal perturbation of the system under study. Several recent applications have provided important insights into chemical processes at cells and in tissues. Examples include molecular flux measurements at the surface of single cells and through skin—which can offer insights into oxidative stress, exocytosis, and drug delivery—and real-time brain neurotransmitter monitoring in living rats, which reveals correlations between behavior and molecular events in the brain. Such findings can promote interdisciplinary collaborations and may lead to a broader understanding of the chemical aspects of biology.

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Crossref · 10.1126/science.1120027

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Metadata

Authors
Wightman, R. M.
Venue
Science
Published
2006-03-17
Volume
311
Issue
5767
Pages
1570-1574
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2111710127
Cited by
439
References
3
FWCI
25.66
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Probing Cellular Chemistry in Biological Systems with Microelectrodes. https://app.cochat.ai/papers/10.1126/science.1120027
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Wightman, R. M. (2006). Probing Cellular Chemistry in Biological Systems with Microelectrodes. Science. https://doi.org/10.1126/science.1120027

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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.