The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
mGRASP enables mapping mammalian synaptic connectivity with light microscopy
Open accessAbstract
The GFP reconstitution across synaptic partners (GRASP) technique, based on functional complementation between two nonfluorescent GFP fragments, can be used to detect the location of synapses quickly, accurately and with high spatial resolution. The method has been previously applied in the nematode and the fruit fly but requires substantial modification for use in the mammalian brain. We developed mammalian GRASP (mGRASP) by optimizing transmembrane split-GFP carriers for mammalian synapses. Using in silico protein design, we engineered chimeric synaptic mGRASP fragments that were efficiently delivered to synaptic locations and reconstituted GFP fluorescence in vivo. Furthermore, by integrating molecular and cellular approaches with a computational strategy for the three-dimensional reconstruction of neurons, we applied mGRASP to both long-range circuits and local microcircuits in the mouse hippocampus and thalamocortical regions, analyzing synaptic distribution in single neurons and in dendritic compartments.
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
Berman, H. M. (2000) · Nucleic Acids Research · doi:10.1093/nar/28.1.235 · Cited by 40,196
SignalP 4.0: discriminating signal peptides from transmembrane regions
Petersen, T. N., Brunak, S., von Heijne, G., & Nielsen, H. (2011) · Nature Methods · doi:10.1038/nmeth.1701 · Cited by 8,847
Single-channel currents recorded from membrane of denervated frog muscle fibres
NEHER, E., & SAKMANN, B. (1976) · Nature · doi:10.1038/260799a0 · Cited by 2,570
Neuronal Diversity and Temporal Dynamics: The Unity of Hippocampal Circuit Operations
Klausberger, T., & Somogyi, P. (2008) · Science · doi:10.1126/science.1149381 · Cited by 2,050
Transgenic strategies for combinatorial expression of fluorescent proteins in the nervous system
Livet, J., Weissman, T. A., Kang, H., Draft, R. W., Lu, J., Bennis, R. A., Sanes, J. R., & Lichtman, J. W. (2007) · Nature · doi:10.1038/nature06293 · Cited by 1,876
Large-scale recording of neuronal ensembles
Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
Autism and Abnormal Development of Brain Connectivity: Figure 1.
Belmonte, M. K., Allen, G., Beckel-Mitchener, A., Boulanger, L. M., Carper, R. A., & Webb, S. J. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.3340-04.2004 · Cited by 1,217
Monosynaptic Restriction of Transsynaptic Tracing from Single, Genetically Targeted Neurons
Wickersham, I. R., Lyon, D. C., Barnard, R. J. O., Mori, T., Finke, S., Conzelmann, K.-K., Young, J. A. T., & Callaway, E. M. (2007) · Neuron · doi:10.1016/j.neuron.2007.01.033 · Cited by 1,187
Cserzo, M., Wallin, E., Simon, I., von Heijne, G., & Elofsson, A. (1997) · Protein Engineering Design and Selection · doi:10.1093/protein/10.6.673 · Cited by 1,034
Cited by
SeeDB: a simple and morphology-preserving optical clearing agent for neuronal circuit reconstruction
Ke, M.-T., Fujimoto, S., & Imai, T. (2013) · Nature Neuroscience · doi:10.1038/nn.3447 · Cited by 892
CLARITY for mapping the nervous system
Chung, K., & Deisseroth, K. (2013) · Nature Methods · doi:10.1038/nmeth.2481 · Cited by 747
Labeling of active neural circuits in vivo with designed calcium integrators
Fosque, B. F., Sun, Y., Dana, H., Yang, C.-T., Ohyama, T., Tadross, M. R., Patel, R., Zlatic, M., Kim, D. S., Ahrens, M. B., et al. (2015) · Science · doi:10.1126/science.1260922 · Cited by 458
Genetic 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
High-throughput mapping of single-neuron projections by sequencing of barcoded RNA
Kebschull, J. M., Garcia da Silva, P., Reid, A. P., Peikon, I. D., Albeanu, D. F., & Zador, A. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.036 · Cited by 376
Cell-cell communication: New insights and clinical implications
Su, J., Song, Y., Zhu, Z., Huang, X., Fan, J., Qiao, J., & Mao, F. (2024) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-024-01888-z · Cited by 433
Systemic AAV vectors for widespread and targeted gene delivery in rodents
Challis, R. C., Ravindra Kumar, S., Chan, K. Y., Challis, C., Beadle, K., Jang, M. J., Kim, H. M., Rajendran, P. S., Tompkins, J. D., Shivkumar, K., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0097-3 · Cited by 409
Interregional synaptic maps among engram cells underlie memory formation
Choi, J.-H., Sim, S.-E., Kim, J.-I., Choi, D. I., Oh, J., Ye, S., Lee, J., Kim, T., Ko, H.-G., Lim, C.-S., et al. (2018) · Science · doi:10.1126/science.aas9204 · Cited by 382
Self-citationHypothalamic Survival Circuits: Blueprints for Purposive Behaviors
Sternson, S. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.02.018 · Cited by 313
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 292
Varga, C., Golshani, P., & Soltesz, I. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1210929109 · Cited by 253
Genetic 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
Katona, L., Lapray, D., Viney, T. J., Oulhaj, A., Borhegyi, Z., Micklem, B. R., Klausberger, T., & Somogyi, P. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.007 · Cited by 169
Communication in Neural Circuits: Tools, Opportunities, and Challenges
Lerner, T. N., Ye, L., & Deisseroth, K. (2016) · Cell · doi:10.1016/j.cell.2016.02.027 · Cited by 159
A Student’s Guide to Neural Circuit Tracing
Saleeba, C., Dempsey, B., Le, S., Goodchild, A., & McMullan, S. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00897 · Cited by 153
Deconstructing behavioral neuropharmacology with cellular specificity
Shields, B. C., Kahuno, E., Kim, C., Apostolides, P. F., Brown, J., Lindo, S., Mensh, B. D., Dudman, J. T., Lavis, L. D., & Tadross, M. R. (2017) · Science · doi:10.1126/science.aaj2161 · Cited by 135
Genetic dissection of GABAergic neural circuits in mouse neocortex
Taniguchi, H. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00008 · Cited by 106
Katona, L., Micklem, B., Borhegyi, Z., Swiejkowski, D. A., Valenti, O., Viney, T. J., Kotzadimitriou, D., Klausberger, T., & Somogyi, P. (2017) · Hippocampus · doi:10.1002/hipo.22696 · Cited by 50
Layer-specific input to medial prefrontal cortex is linked to stress susceptibility
Solakoğlu, S. T., Erdener, Ş. E., Gliko, O., Can, A., Sümbül, U., & Eren-Koçak, E. (2025) · Translational Psychiatry · doi:10.1038/s41398-025-03258-x · Cited by 5
Tracking and measuring local protein synthesis in vivo
Kays, I., & Chen, B. E. (2024) · Development · doi:10.1242/dev.202908 · Cited by 4
Metadata
- Authors
- Kim, J., Zhao, T., Petralia, R. S., Yu, Y., Peng, H., Myers, E., & Magee, J. C.
- Venue
- Nature Methods
- Published
- 2011-12-04
- Volume
- 9
- Issue
- 1
- Pages
- 96-102
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2099021265
- Cited by
- 286
- References
- 38
- FWCI
- 6.55
- 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.