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Cited by 419

The DOI matches its Crossref record; 298 of the 298 references it cites were found in a registry or an index.

Optochemical Control of Biological Processes in Cells and Animals

Open access
Ankenbruck, Nicholas, Courtney, Taylor, Naro, Yuta, Deiters, Alexander·2018·Angewandte Chemie International Edition

Abstract

Biological processes are naturally regulated with high spatial and temporal control, as is perhaps most evident in metazoan embryogenesis. Chemical tools have been extensively utilized in cell and developmental biology to investigate cellular processes, and conditional control methods have expanded applications of these technologies toward resolving complex biological questions. Light represents an excellent external trigger since it can be controlled with very high spatial and temporal precision. To this end, several optically regulated tools have been developed and applied to living systems. In this review we discuss recent developments of optochemical tools, including small molecules, peptides, proteins, and nucleic acids that can be irreversibly or reversibly controlled through light irradiation, with a focus on applications in cells and animals.

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Crossref · 10.1002/anie.201700171

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Metadata

Authors
Ankenbruck, N., Courtney, T., Naro, Y., & Deiters, A.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2018-02
Volume
57
Issue
11
Pages
2768-2798
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2616534571
Cited by
419
References
298
FWCI
19.42
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Optochemical Control of Biological Processes in Cells and Animals. https://app.cochat.ai/papers/10.1002/anie.201700171
The paper
Ankenbruck, N., Courtney, T., Naro, Y., & Deiters, A. (2018). Optochemical Control of Biological Processes in Cells and Animals. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201700171

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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.