The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Characterization of Engineered Channelrhodopsin Variants with Improved Properties and Kinetics
Open accessAbstract
Channelrhodopsin 2 (ChR2), a light-activated nonselective cationic channel from Chlamydomonas reinhardtii, has become a useful tool to excite neurons into which it is transfected. The other ChR from Chlamydomonas, ChR1, has attracted less attention because of its proton-selective permeability. By making chimeras of the transmembrane domains of ChR1 and ChR2, combined with site-directed mutagenesis, we developed a ChR variant, named ChEF, that exhibits significantly less inactivation during persistent light stimulation. ChEF undergoes only 33% inactivation, compared with 77% for ChR2. Point mutation of Ile(170) of ChEF to Val (yielding "ChIEF") accelerates the rate of channel closure while retaining reduced inactivation, leading to more consistent responses when stimulated above 25 Hz in both HEK293 cells and cultured hippocampal neurons. In addition, these variants have altered spectral responses, light sensitivity, and channel selectivity. ChEF and ChIEF allow more precise temporal control of depolarization, and can induce action potential trains that more closely resemble natural spiking patterns.
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
Shaner, N. C., Campbell, R. E., Steinbach, P. A., Giepmans, B. N. G., Palmer, A. E., & Tsien, R. Y. (2004) · Nature Biotechnology · doi:10.1038/nbt1037 · Cited by 4,619
Self-citationChannelrhodopsin-2-assisted circuit mapping of long-range callosal projections
Petreanu, L., Huber, D., Sobczyk, A., & Svoboda, K. (2007) · Nature Neuroscience · doi:10.1038/nn1891 · Cited by 930
Sparse optical microstimulation in barrel cortex drives learned behaviour in freely moving mice
Huber, D., Petreanu, L., Ghitani, N., Ranade, S., Hromádka, T., Mainen, Z., & Svoboda, K. (2008) · Nature · doi:10.1038/nature06445 · Cited by 539
Cited by
Optogenetics in neural systems
Yizhar, O., Fenno, L. E., Davidson, T. J., Mogri, M., & Deisseroth, K. (2011) · Neuron · doi:10.1016/j.neuron.2011.06.004 · Cited by 1,881
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
Ketamine blocks bursting in the lateral habenula to rapidly relieve depression
Yang, Y., Cui, Y., Sang, K., Dong, Y., Ni, Z., Ma, S., & Hu, H. (2018) · Nature · doi:10.1038/nature25509 · Cited by 1,036
Engineering a memory with LTD and LTP
Nabavi, S., Fox, R., Proulx, C. D., Lin, J. Y., Tsien, R. Y., & Malinow, R. (2014) · Nature · doi:10.1038/nature13294 · Cited by 980
Self-citationA skin-inspired organic digital mechanoreceptor
Tee, B. C.-K., Chortos, A., Berndt, A., Nguyen, A. K., Tom, A., McGuire, A., Lin, Z. C., Tien, K., Bae, W.-G., Wang, H., et al. (2015) · Science · doi:10.1126/science.aaa9306 · Cited by 882
Mattis, J., Tye, K. M., Ferenczi, E. A., Ramakrishnan, C., O'Shea, D. J., Prakash, R., Gunaydin, L. A., Hyun, M., Fenno, L. E., Gradinaru, V., et al. (2012) · Nature Methods · doi:10.1038/nmeth.1808 · Cited by 780
Gunaydin, L. A., Yizhar, O., Berndt, A., Sohal, V. S., Deisseroth, K., & Hegemann, P. (2010) · Nature Neuroscience · doi:10.1038/nn.2495 · Cited by 757
Optogenetic investigation of neural circuits underlying brain disease in animal models
Tye, K. M., & Deisseroth, K. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3171 · Cited by 745
Optogenetic interrogation of neural circuits: technology for probing mammalian brain structures
Zhang, F., Gradinaru, V., Adamantidis, A. R., Durand, R., Airan, R. D., de Lecea, L., & Deisseroth, K. (2010) · Nature Protocols · doi:10.1038/nprot.2009.226 · Cited by 692
Integration of optogenetics with complementary methodologies in systems neuroscience
Kim, C. K., Adhikari, A., & Deisseroth, K. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.15 · Cited by 690
A Neural Circuit for Memory Specificity and Generalization
Xu, W., & Südhof, T. C. (2013) · Science · doi:10.1126/science.1229534 · Cited by 634
Cruikshank, S. J., Urabe, H., Nurmikko, A. V., & Connors, B. W. (2010) · Neuron · doi:10.1016/j.neuron.2009.12.025 · Cited by 459
Improved tools to study astrocytes
Yu, X., Nagai, J., & Khakh, B. S. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0264-8 · Cited by 298
Retinal stimulation strategies to restore vision: fundamentals and systems
Yue, L., Weiland, J. D., Roska, B., & Humayun, M. S. (2016) · Progress in Retinal and Eye Research · doi:10.1016/j.preteyeres.2016.05.002 · Cited by 272
Ultrafast endocytosis at Caenorhabditis elegans neuromuscular junctions
Watanabe, S., Liu, Q., Davis, M. W., Hollopeter, G., Thomas, N., Jorgensen, N. B., & Jorgensen, E. M. (2013) · eLife · doi:10.7554/elife.00723 · Cited by 248
Machine learning-guided channelrhodopsin engineering enables minimally invasive optogenetics
Bedbrook, C. N., Yang, K. K., Robinson, J. E., Mackey, E. D., Gradinaru, V., & Arnold, F. H. (2019) · Nature Methods · doi:10.1038/s41592-019-0583-8 · Cited by 205
A neural pathway controlling motivation to exert effort
Proulx, C. D., Aronson, S., Milivojevic, D., Molina, C., Loi, A., Monk, B., Shabel, S. J., & Malinow, R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1801837115 · Cited by 119
Long-range GABAergic connections distributed throughout the neocortex and their possible function
Tamamaki, N., & Tomioka, R. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00202 · Cited by 116
Hashimotodani, Y., Nasrallah, K., Jensen, K. R., Chávez, A. E., Carrera, D., & Castillo, P. E. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.028 · Cited by 104
Bell, K. A., Shim, H., Chen, C.-K., & McQuiston, A. R. (2011) · Neuropharmacology · doi:10.1016/j.neuropharm.2011.08.024 · Cited by 74
Vectors and Gene Delivery to the Retina
Planul, A., & Dalkara, D. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061413 · Cited by 67
Kim, S., Wallace, M. L., El-Rifai, M., Knudsen, A. R., & Sabatini, B. L. (2022) · Neuron · doi:10.1016/j.neuron.2022.01.007 · Cited by 58
Molecular and functional architecture of striatal dopamine release sites
Banerjee, A., Imig, C., Balakrishnan, K., Kershberg, L., Lipstein, N., Uronen, R.-L., Wang, J., Cai, X., Benseler, F., Rhee, J. S., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.10.028 · Cited by 58
Metadata
- Authors
- Lin, J. Y., Lin, M. Z., Steinbach, P., & Tsien, R. Y.
- Venue
- Biophysical Journal
- Publisher
- Elsevier BV
- Published
- 2009-03
- Volume
- 96
- Issue
- 5
- Pages
- 1803-1814
- ISSN
- 0006-3495 (ISSN-L)
- OpenAlex
- W2088944569
- Cited by
- 697
- References
- 3
- FWCI
- 13.93
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
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.