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Cited by 174

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

Red Fluorescent Proteins: Advanced Imaging Applications and Future Design

Open access
Shcherbakova, Daria M., Subach, Oksana M., Verkhusha, Vladislav V.·2012·Angewandte Chemie International Edition

Abstract

In the past few years a large series of the advanced red‐shifted fluorescent proteins (RFPs) has been developed. These enhanced RFPs provide new possibilities to study biological processes at the levels ranging from single molecules to whole organisms. Herein the relationship between the properties of the RFPs of different phenotypes and their applications to various imaging techniques are described. Existing and emerging imaging approaches are discussed for conventional RFPs, far‐red FPs, RFPs with a large Stokes shift, fluorescent timers, irreversibly photoactivatable and reversibly photoswitchable RFPs. Advantages and limitations of specific RFPs for each technique are presented. Recent progress in understanding the chemical transformations of red chromophores allows the future RFP phenotypes and their respective novel imaging applications to be foreseen.

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Crossref · 10.1002/anie.201200408

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Metadata

Authors
Shcherbakova, D. M., Subach, O. M., & Verkhusha, V. V.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2012-07-31
Volume
51
Issue
43
Pages
10724-10738
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2124341702
Cited by
174
References
3
FWCI
9.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Red Fluorescent Proteins: Advanced Imaging Applications and Future Design. https://app.cochat.ai/papers/10.1002/anie.201200408
The paper
Shcherbakova, D. M., Subach, O. M., & Verkhusha, V. V. (2012). Red Fluorescent Proteins: Advanced Imaging Applications and Future Design. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201200408

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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.