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
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: mGRASP enables mapping mammalian synaptic connectivity with light microscopy. https://app.cochat.ai/papers/10.1038/nmeth.1784
- The paper
- Kim, J., Zhao, T., Petralia, R. S., Yu, Y., Peng, H., Myers, E., & Magee, J. C. (2012). mGRASP enables mapping mammalian synaptic connectivity with light microscopy. Nature Methods. https://doi.org/10.1038/nmeth.1784
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.