The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
An optimized fluorescent probe for visualizing glutamate neurotransmission
Open accessAbstract
We describe an intensity-based glutamate-sensing fluorescent reporter (iGluSnFR) with signal-to-noise ratio and kinetics appropriate for in vivo imaging. We engineered iGluSnFR in vitro to maximize its fluorescence change, and we validated its utility for visualizing glutamate release by neurons and astrocytes in increasingly intact neurological systems. In hippocampal culture, iGluSnFR detected single field stimulus–evoked glutamate release events. In pyramidal neurons in acute brain slices, glutamate uncaging at single spines showed that iGluSnFR responds robustly and specifically to glutamate in situ, and responses correlate with voltage changes. In mouse retina, iGluSnFR-expressing neurons showed intact light-evoked excitatory currents, and the sensor revealed tonic glutamate signaling in response to light stimuli. In worms, glutamate signals preceded and predicted postsynaptic calcium transients. In zebrafish, iGluSnFR revealed spatial organization of direction-selective synaptic activity in the optic tectum. Finally, in mouse forelimb motor cortex, iGluSnFR expression in layer V pyramidal neurons revealed task-dependent single-spine activity during running.
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 structure of the nervous system of the nematode Caenorhabditis elegans
White, J. G., Southgate, E., Thomson, J. N., & Brenner, S. (1986) · Philosophical Transactions of the Royal Society of London. B, Biological Sciences · doi:10.1098/rstb.1986.0056 · Cited by 5,589
Transparent Adult Zebrafish as a Tool for In Vivo Transplantation Analysis
White, R. M., Sessa, A., Burke, C., Bowman, T., LeBlanc, J., Ceol, C., Bourque, C., Dovey, M., Goessling, W., Burns, C. E., et al. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2007.11.002 · Cited by 1,408
New roles for astrocytes: redefining the functional architecture of the brain.
Nedergaard, M., Ransom, B., & Goldman, S. A. (2003) · Trends in Neurosciences · doi:10.1016/j.tins.2003.08.008 · Cited by 1,334 · cited 7×
“A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript A uthor M anuscript with line scans (500 lps, ROI contained the cross section of a single, iGluSnFR-expressing dendrite) in the OFF-layer of the IPL during constant background ill…”
BackgroundInfluentialStably maintained dendritic spines are associated with lifelong memories
Yang, G., Pan, F., & Gan, W.-B. (2009) · Nature · doi:10.1038/nature08577 · Cited by 1,182
Self-citationThe neural circuit for touch sensitivity in Caenorhabditis elegans
Chalfie, M., Sulston, J., White, J., Southgate, E., Thomson, J., & Brenner, S. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-04-00956.1985 · Cited by 1,093
Synaptic amplification by dendritic spines enhances input cooperativity
Harnett, M. T., Makara, J. K., Spruston, N., Kath, W. L., & Magee, J. C. (2012) · Nature · doi:10.1038/nature11554 · Cited by 288
Self-citation
Cited by
Madisen, L., Garner, A. R., Shimaoka, D., Chuong, A. S., Klapoetke, N. C., Li, L., van der Bourg, A., Niino, Y., Egolf, L., Monetti, C., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.022 · Cited by 1,114
A gut-brain neural circuit for nutrient sensory transduction
Kaelberer, M. M., Buchanan, K. L., Klein, M. E., Barth, B. B., Montoya, M. M., Shen, X., & Bohórquez, D. V. (2018) · Science · doi:10.1126/science.aat5236 · Cited by 932
Sun, F., Zeng, J., Jing, M., Zhou, J., Feng, J., Owen, S. F., Luo, Y., Li, F., Wang, H., Yamaguchi, T., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.042 · Cited by 837
Chai, H., Diaz-Castro, B., Shigetomi, E., Monte, E., Octeau, J. C., Yu, X., Cohn, W., Rajendran, P. S., Vondriska, T. M., Whitelegge, J. P., et al. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.029 · Cited by 769
A genetically encoded fluorescent sensor for rapid and specific in vivo detection of norepinephrine
Feng, J., Zhang, C., Lischinsky, J. E., Jing, M., Zhou, J., Wang, H., Zhang, Y., Dong, A., Wu, Z., Wu, H., et al. (2019) · Neuron · doi:10.1016/j.neuron.2019.02.037 · Cited by 545
Self-citationGenetic Dissection of Neural Circuits: A Decade of Progress
Luo, L., Callaway, E. M., & Svoboda, K. (2018) · Neuron · doi:10.1016/j.neuron.2018.03.040 · Cited by 448
Astrocytes regulate cortical state switching in vivo
Poskanzer, K. E., & Yuste, R. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1520759113 · Cited by 377
Glucose Sensing in Supramolecular Chemistry
Sun, X., & James, T. D. (2015) · Chemical Reviews · doi:10.1021/cr500562m · Cited by 386
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
Presynaptic calcium channels: specialized control of synaptic neurotransmitter release
Dolphin, A. C., & Lee, A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0278-2 · Cited by 283
Jiang, R., Diaz-Castro, B., Looger, L. L., & Khakh, B. S. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.3693-15.2016 · Cited by 237
Self-citationGenetic Approaches to Neural Circuits in the Mouse
Josh Huang, Z., & Zeng, H. (2013) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062012-170307 · Cited by 200
Imaging neurotransmitter and neuromodulator dynamics in vivo with genetically encoded indicators
Sabatini, B. L., & Tian, L. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.036 · Cited by 203
Self-citationWang, Y., DelRosso, N. V., Vaidyanathan, T. V., Cahill, M. K., Reitman, M. E., Pittolo, S., Mi, X., Yu, G., & Poskanzer, K. E. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0492-2 · Cited by 194
Mesoscopic Imaging: Shining a Wide Light on Large-Scale Neural Dynamics
Cardin, J. A., Crair, M. C., & Higley, M. J. (2020) · Neuron · doi:10.1016/j.neuron.2020.09.031 · Cited by 135
Cell-based reporters reveal in vivo dynamics of dopamine and norepinephrine release in murine cortex
Muller, A., Joseph, V., Slesinger, P. A., & Kleinfeld, D. (2014) · Nature Methods · doi:10.1038/nmeth.3151 · Cited by 139
Synaptic NMDA receptor activity is coupled to the transcriptional control of the glutathione system
Baxter, P. S., Bell, K. F. S., Hasel, P., Kaindl, A. M., Fricker, M., Thomson, D., Cregan, S. P., Gillingwater, T. H., & Hardingham, G. E. (2015) · Nature Communications · doi:10.1038/ncomms7761 · Cited by 139
Glutamate Clearance Is Locally Modulated by Presynaptic Neuronal Activity in the Cerebral Cortex
Armbruster, M., Hanson, E., & Dulla, C. G. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.2066-16.2016 · Cited by 131
Taschenberger, H., Woehler, A., & Neher, E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1606383113 · Cited by 128
Wang, H., Jing, M., & Li, Y. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.03.010 · Cited by 109
Trudler, D., Sanz-Blasco, S., Eisele, Y. S., Ghatak, S., Bodhinathan, K., Akhtar, M. W., Lynch, W. P., Piña-Crespo, J. C., Talantova, M., Kelly, J. W., et al. (2021) · The Journal of Neuroscience · doi:10.1523/jneurosci.1871-20.2020 · Cited by 104
Approaches and Limitations in the Investigation of Synaptic Transmission and Plasticity
Glasgow, S. D., McPhedrain, R., Madranges, J. F., Kennedy, T. E., & Ruthazer, E. S. (2019) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2019.00020 · Cited by 100
Dong, C., Zheng, Y., Long-Iyer, K., Wright, E. C., Li, Y., & Tian, L. (2022) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-110520-031137 · Cited by 99
Self-citationThe Relationship Between Glutamate Dynamics and Activity-Dependent Synaptic Plasticity
Barnes, J. R., Mukherjee, B., Rogers, B. C., Nafar, F., Gosse, M., & Parsons, M. P. (2020) · The Journal of Neuroscience · doi:10.1523/jneurosci.1655-19.2020 · Cited by 89
Multi-transmitter neurons in the mammalian central nervous system
Granger, A. J., Wallace, M. L., & Sabatini, B. L. (2017) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2017.04.007 · Cited by 95
Zhang, Z., Cheng, X., Zhao, Y., & Yang, Y. (2020) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-091619-091306 · Cited by 81
Upmanyu, N., Jin, J., Emde, H. V. D., Ganzella, M., Bösche, L., Malviya, V. N., Zhuleku, E., Politi, A. Z., Ninov, M., Silbern, I., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.02.008 · Cited by 69
Imaging neuromodulators with high spatiotemporal resolution using genetically encoded indicators
Patriarchi, T., Cho, J. R., Merten, K., Marley, A., Broussard, G. J., Liang, R., Williams, J., Nimmerjahn, A., von Zastrow, M., Gradinaru, V., et al. (2019) · Nature Protocols · doi:10.1038/s41596-019-0239-2 · Cited by 66
Self-citationMizuno, G. O., Wang, Y., Shi, G., Wang, Y., Sun, J., Papadopoulos, S., Broussard, G. J., Unger, E. K., Deng, W., Weick, J., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.06.033 · Cited by 58
Self-citationMolina-Obando, S., Vargas-Fique, J. F., Henning, M., Gür, B., Schladt, T. M., Akhtar, J., Berger, T. K., & Silies, M. (2019) · eLife · doi:10.7554/elife.49373 · Cited by 49
Object-Displacement-Sensitive Visual Neurons Drive Freezing in Drosophila
Tanaka, R., & Clark, D. A. (2020) · Current Biology · doi:10.1016/j.cub.2020.04.068 · Cited by 44
A Presynaptic Phosphosignaling Hub for Lasting Homeostatic Plasticity
Müller, J. A., Betzin, J., Santos-Tejedor, J., Mayer, A., Oprişoreanu, A.-M., Engholm-Keller, K., Paulußen, I., Gulakova, P., McGovern, T. D., Gschossman, L. J., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110696 · Cited by 36
Han, Y., Yang, J., Li, Y., Chen, Y., Ren, H., Ding, R., Qian, W., Ren, K., Xie, B., Deng, M., et al. (2023) · Science Advances · doi:10.1126/sciadv.adi4208 · Cited by 21
Imaging Approaches for the Study of Metabolism in Real Time Using Genetically Encoded Reporters
Chandris, P., Giannouli, C. C., & Panayotou, G. (2022) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.725114 · Cited by 19
Seeing glutamate at central synapses
Hao, Y., & Plested, A. J. R. (2022) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2022.109531 · Cited by 18
Lee, U., Choi, C., Ryu, S. H., Park, D., Lee, S.-E., Kim, K., Kim, Y., & Chang, S. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2011371118 · Cited by 18
Wu, Z., Kusick, G. F., Berns, M. M. M., Raychaudhuri, S., Itoh, K., Walter, A. M., Chapman, E. R., & Watanabe, S. (2022) · doi:10.1101/2022.04.21.489101 · Cited by 13
Lee, U., Ryu, S. H., & Chang, S. (2021) · Molecular Brain · doi:10.1186/s13041-021-00763-0 · Cited by 12
Analytical approaches to examine gamma-aminobutyric acid and glutamate vesicular co-packaging
Kim, S., & Sabatini, B. L. (2023) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2022.1076616 · Cited by 10
Metadata
- Authors
- Marvin, J. S., Borghuis, B. G., Tian, L., Cichon, J., Harnett, M. T., Akerboom, J., Gordus, A., Renninger, S. L., Chen, T.-W., Bargmann, C. I., Orger, M. B., Schreiter, E. R., Demb, J. B., Gan, W.-B., Hires, S. A., & Looger, L. L.
- Venue
- Nature Methods
- Published
- 2013-01-13
- Volume
- 10
- Issue
- 2
- Pages
- 162-170
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2147800368
- Cited by
- 1,000
- References
- 6
- FWCI
- 27.90
- Type
- journal article
- Language
- en
- Open access
- green
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.
