The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Anti-NMDA Receptor Encephalitis Antibody Binding Is Dependent on Amino Acid Identity of a Small Region within the GluN1 Amino Terminal Domain
Open accessAbstract
Anti-NMDA receptor (NMDAR) encephalitis is a newly identified autoimmune disorder that targets NMDARs, causing severe neurological symptoms including hallucinations, psychosis, and seizures, and may result in death (Dalmau et al., 2008). However, the exact epitope to which these antibodies bind is unknown. A clearly defined antigenic region could provide more precise testing, allow for comparison of immunogenicity between patients to explore potential clinically relevant variations, elucidate the functional effects of antibodies, and make patients' antibodies a more effective tool with which to study NMDAR function. Here, we use human CSF to explore the antigenic region of the NMDAR. We created a series of mutants within the amino terminal domain of GluN1 that change patient antibody binding in transfected cells in stereotyped ways. These mutants demonstrate that the N368/G369 region of GluN1 is crucial for the creation of immunoreactivity. Mass spectrometry experiments show that N368 is glycosylated in transfected cells and rat brain regions; however, this glycosylation is not directly required for epitope formation. Mutations of residues N368/G369 change the closed time of the receptor in single channel recordings; more frequent channel openings correlates with the degree of antibody staining, and acute antibody exposure prolongs open time of the receptor. The staining pattern of mutant receptors is similar across subgroups of patients, indicating consistent immunogenicity, although we have identified one region that has a variable role in epitope formation. These findings provide tools for detailed comparison of antibodies across patients and suggest an interaction between antibody binding and channel function.
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ASSEMBLY OF ASPARAGINE-LINKED OLIGOSACCHARIDES
Kornfeld, R., & Kornfeld, S. (1985) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.54.070185.003215 · Cited by 4,906
Keller, A., Nesvizhskii, A. I., Kolker, E., & Aebersold, R. (2002) · Analytical Chemistry · doi:10.1021/ac025747h · Cited by 4,830
A Statistical Model for Identifying Proteins by Tandem Mass Spectrometry
Nesvizhskii, A. I., Keller, A., Kolker, E., & Aebersold, R. (2003) · Analytical Chemistry · doi:10.1021/ac0341261 · Cited by 4,809
Glutamate receptor ion channels
Mayer, M. L. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.05.004 · Cited by 3,640
The Glutamate Receptor Ion Channels
Dingledine, R., Borges, K., Bowie, D., & Traynelis, S. F. (1999) · Pharmacological Reviews · doi:10.1016/s0031-6997(24)01394-2 · Cited by 3,554
Anti-NMDA-receptor encephalitis: case series and analysis of the effects of antibodies
Dalmau, J., Gleichman, A. J., Hughes, E. G., Rossi, J. E., Peng, X., Lai, M., Dessain, S. K., Rosenfeld, M. R., Balice-Gordon, R., & Lynch, D. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70224-2 · Cited by 3,488
Self-citationParaneoplastic anti– N ‐methyl‐ D ‐aspartate receptor encephalitis associated with ovarian teratoma
Dalmau, J., Tüzün, E., Wu, H., Masjuan, J., Rossi, J. E., Voloschin, A., Baehring, J. M., Shimazaki, H., Koide, R., King, D., et al. (2007) · Annals of Neurology · doi:10.1002/ana.21050 · Cited by 2,492
Molberg, Ø., Mcadam, S. N., Körner, R., Quarsten, H., Kristiansen, C., Madsen, L., Fugger, L., Scott, H., Norén, O., Roepstorff, P., et al. (1998) · Nature Medicine · doi:10.1038/nm0698-713 · Cited by 1,168
Cellular and synaptic mechanisms of anti-NMDA receptor encephalitis
Hughes, E. G., Peng, X., Gleichman, A. J., Lai, M., Zhou, L., Tsou, R., Parsons, T. D., Lynch, D. R., Dalmau, J., & Balice-Gordon, R. J. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0167-10.2010 · Cited by 1,143
Self-citationAnti-N-methyl-D-aspartate receptor (NMDAR) encephalitis in children and adolescents
Florance, N. R., Davis, R. L., Lam, C., Szperka, C., Zhou, L., Ahmad, S., Campen, C. J., Moss, H., Peter, N., Gleichman, A. J., et al. (2009) · Annals of Neurology · doi:10.1002/ana.21756 · Cited by 1,090
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Self-citationStructure, Function, and Pharmacology of Glutamate Receptor Ion Channels
Hansen, K. B., Wollmuth, L. P., Bowie, D., Furukawa, H., Menniti, F. S., Sobolevsky, A. I., Swanson, G. T., Swanger, S. A., Greger, I. H., Nakagawa, T., et al. (2021) · Pharmacological Reviews · doi:10.1124/pharmrev.120.000131 · Cited by 686
Delineating the GRIN1 phenotypic spectrum: A distinct genetic NMDA receptor encephalopathy
Lemke, J. R., Geider, K., Helbig, K. L., Heyne, H. O., Schütz, H., Hentschel, J., Courage, C., Depienne, C., Nava, C., Heron, D., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000002740 · Cited by 200
Human autoantibodies to amphiphysin induce defective presynaptic vesicle dynamics and composition
Werner, C., Pauli, M., Doose, S., Weishaupt, A., Haselmann, H., Grünewald, B., Sauer, M., Heckmann, M., Toyka, K. V., Asan, E., et al. (2016) · Brain · doi:10.1093/brain/awv324 · Cited by 75
Transsynaptic Signaling of Ephs in Synaptic Development, Plasticity, and Disease
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Metadata
- Authors
- Gleichman, A. J., Spruce, L. A., Dalmau, J., Seeholzer, S. H., & Lynch, D. R.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-08-08
- Volume
- 32
- Issue
- 32
- Pages
- 11082-11094
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1971501807
- Cited by
- 290
- References
- 64
- FWCI
- 9.91
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Gleichman, A. J., Spruce, L. A., Dalmau, J., Seeholzer, S. H., & Lynch, D. R. (2012). Anti-NMDA Receptor Encephalitis Antibody Binding Is Dependent on Amino Acid Identity of a Small Region within the GluN1 Amino Terminal Domain. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0064-12.2012
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