The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
In Vivo Photopharmacology
Abstract
Synthetic photoswitches have been known for many years, but their usefulness in biology, pharmacology, and medicine has only recently been systematically explored. Over the past decade photopharmacology has grown into a vibrant field. As the photophysical, pharmacodynamic, and pharmacokinetic properties of photoswitches, such as azobenzenes, have become established, they have been applied to a wide range of biological targets. These include transmembrane proteins (ion channels, transporters, G protein-coupled receptors, receptor-linked enzymes), soluble proteins (kinases, proteases, factors involved in epigenetic regulation), lipid membranes, and nucleic acids. In this review, we provide an overview of photopharmacology using synthetic switches that have been applied in vivo, i.e., in living cells and organisms. We discuss the scope and limitations of this approach to study biological function and the challenges it faces in translational medicine. The relationships between synthetic photoswitches, natural chromophores used in optogenetics, and caged ligands are addressed.
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.
Integrity signals
Registry
Cites
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.
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
The development and application of optogenetics
Fenno, L., Yizhar, O., & Deisseroth, K. (2011) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-061010-113817 · Cited by 1,822
Wirelessly powered, fully internal optogenetics for brain, spinal and peripheral circuits in mice
Montgomery, K. L., Yeh, A. J., Ho, J. S., Tsao, V., Mohan Iyer, S., Grosenick, L., Ferenczi, E. A., Tanabe, Y., Deisseroth, K., Delp, S. L., et al. (2015) · Nature Methods · doi:10.1038/nmeth.3536 · Cited by 565
Beta cell hubs dictate pancreatic islet responses to glucose
Johnston, N. R., Mitchell, R. K., Haythorne, E., Pessoa, M. P., Semplici, F., Ferrer, J., Piemonti, L., Marchetti, P., Bugliani, M., Bosco, D., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.06.020 · Cited by 454
Self-citationOptogenetic dissection of a behavioural module in the vertebrate spinal cord
Wyart, C., Bene, F. D., Warp, E., Scott, E. K., Trauner, D., Baier, H., & Isacoff, E. Y. (2009) · Nature · doi:10.1038/nature08323 · Cited by 409
Self-citationLiGluR restores visual responses in rodent models of inherited blindness
Caporale, N., Kolstad, K. D., Lee, T., Tochitsky, I., Dalkara, D., Trauner, D., Kramer, R., Dan, Y., Isacoff, E. Y., & Flannery, J. G. (2011) · Molecular Therapy · doi:10.1038/mt.2011.103 · Cited by 182
Cited by
Recent Implementations of Molecular Photoswitches into Smart Materials and Biological Systems
Pianowski, Z. L. (2019) · Chemistry – A European Journal · doi:10.1002/chem.201805814 · Cited by 328
Mechanochemical bond scission for the activation of drugs
Huo, S., Zhao, P., Shi, Z., Zou, M., Yang, X., Warszawik, E., Loznik, M., Göstl, R., & Herrmann, A. (2021) · Nature Chemistry · doi:10.1038/s41557-020-00624-8 · Cited by 322
Next-generation interfaces for studying neural function
Frank, J. A., Antonini, M.-J., & Anikeeva, P. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0198-8 · Cited by 241
Recent advances in neurotechnologies with broad potential for neuroscience research
Vázquez-Guardado, A., Yang, Y., Bandodkar, A. J., & Rogers, J. A. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-00739-8 · Cited by 202
Taking phototherapeutics from concept to clinical launch
Vickerman, B. M., Zywot, E. M., Tarrant, T. K., & Lawrence, D. S. (2021) · Nature Reviews Chemistry · doi:10.1038/s41570-021-00326-w · Cited by 201
Metadata
- Authors
- Hüll, K., Morstein, J., & Trauner, D.
- Venue
- Chemical Reviews
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-09
- Volume
- 118
- Issue
- 21
- Pages
- 10710-10747
- ISSN
- 0009-2665 (ISSN-L)
- 1520-6890
- OpenAlex
- W2814854939
- Cited by
- 921
- References
- 5
- FWCI
- 2.94
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: In Vivo Photopharmacology. https://app.cochat.ai/papers/10.1021/acs.chemrev.8b00037
- The paper
- Hüll, K., Morstein, J., & Trauner, D. (2018). In Vivo Photopharmacology. Chemical Reviews. https://doi.org/10.1021/acs.chemrev.8b00037
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.