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Perineuronal nets stabilize the grid cell network
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Abstract
Grid cells are part of a widespread network which supports navigation and spatial memory. Stable grid patterns appear late in development, in concert with extracellular matrix aggregates termed perineuronal nets (PNNs) that condense around inhibitory neurons. It has been suggested that PNNs stabilize synaptic connections and long-term memories, but their role in the grid cell network remains elusive. We show that removal of PNNs leads to lower inhibitory spiking activity, and reduces grid cells' ability to create stable representations of a novel environment. Furthermore, in animals with disrupted PNNs, exposure to a novel arena corrupted the spatiotemporal relationships within grid cell modules, and the stored representations of a familiar arena. Finally, we show that PNN removal in entorhinal cortex distorted spatial representations in downstream hippocampal neurons. Together this work suggests that PNNs provide a key stabilizing element for the grid cell network.
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“and in V1 visual cortex, ChABC decreases both excitatory and inhibitory inputs to PV interneurons [46, 47].”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“Both hippocampus and perirhinal cortex are rich in PV interneurons enwrapped with PNNs, and PNNs are also present on some hippocampal pyramidal neurons [46, 101, 102].”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“All the social memory associated regions are highly populated with PNN-surrounded PV neurons [46, 66, 130, 131].”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“while in the entorhinal cortex, ChABC reduces inhibitory inputs”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“Following PNN removal in entorhinal cortex there are distorted spatial representations in downstream hippocampal neurons (Fig. 2C) [46].”
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“This suggests that PNNs contribute to ensure a rigid grid cell network, which is essential for new representations to form, and that the heightened network plasticity caused by PNN removal interferes with stored spatial representations and perhaps memories.”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“However, degradation of PNNs in medial entorhinal cortex, where PV positive neurons are enwrapped in particularly dense PNNs, destabilizes the grid cell networks leading to impaired representations of new environments [46].”
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“This suggests that PNNs contribute to ensure a rigid grid cell network, which is essential for new representations to form, and that the heightened network plasticity caused by PNN removal interferes with stored spatial representations and perhaps memories.”
From The extracellular matrix and perineuronal nets in memory (2022) · cites this paper as [46]
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“The higher performance in prokaryotes is consistent with previous observations regarding the availability of evolutionary information in prokaryotes compared to Eukarya27 (Supplementary Fig. 1).”
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“Another recently published method obtains AUC 0.76 on this set27.”
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“We used 1661 protein complexes with known interfaces from a recent study27 to test the developed pipeline.”
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“The study of AF2s ability to separate interacting and non-interacting proteins here contains more extensive data than recent studies27.”
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“Pairing the correct sequences should result in MSAs containing inter-chain co-evolutionary information27.”
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“PLCG2 polymorphisms are associated with both reduced and increased risk of Alzheimer’s disease (AD) and with longevity.”
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Cites
Microstructure of a spatial map in the entorhinal cortex
Hafting, T., Fyhn, M., Molden, S., Moser, M.-B., & Moser, E. I. (2005) · Nature · doi:10.1038/nature03721 · Cited by 4,068
Self-citationMechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
Path integration and the neural basis of the 'cognitive map'
McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I., & Moser, M.-B. (2006) · Nature Reviews Neuroscience · doi:10.1038/nrn1932 · Cited by 2,024
Reactivation of Ocular Dominance Plasticity in the Adult Visual Cortex
Pizzorusso, T., Medini, P., Berardi, N., Chierzi, S., Fawcett, J. W., & Maffei, L. (2002) · Science · doi:10.1126/science.1072699 · Cited by 1,679
The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells
Muller, R., & Kubie, J. (1987) · The Journal of Neuroscience · doi:10.1523/jneurosci.07-07-01951.1987 · Cited by 1,581
Conjunctive Representation of Position, Direction, and Velocity in Entorhinal Cortex
Sargolini, F., Fyhn, M., Hafting, T., McNaughton, B. L., Witter, M. P., Moser, M.-B., & Moser, E. I. (2006) · Science · doi:10.1126/science.1125572 · Cited by 1,485
Self-citationThree groups of interneurons account for nearly 100% of neocortical GABAergic neurons
Rudy, B., Fishell, G., Lee, S., & Hjerling‐Leffler, J. (2011) · Developmental Neurobiology · doi:10.1002/dneu.20853 · Cited by 1,420
Spatial representation in the entorhinal cortex
Fyhn, M., Molden, S., Witter, M. P., Moser, E. I., & Moser, M.-B. (2004) · Science · doi:10.1126/science.1099901 · Cited by 1,339
Self-citationIntracellular Features Predicted by Extracellular Recordings in the Hippocampus In Vivo
Henze, D. A., Borhegyi, Z., Csicsvari, J., Mamiya, A., Harris, K. D., & Buzsáki, G. (2000) · Journal of Neurophysiology · doi:10.1152/jn.2000.84.1.390 · Cited by 942
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Li, B., Deng, A., Li, K., Hu, Y., Li, Z., Shi, Y., Xiong, Q., Liu, Z., Guo, Q., Zou, L., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28089-y · Cited by 566
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Brown, C., Mullet, J. I., Hindi, F., Stoll, J. E., Gupta, S., Choi, M., Keenum, I. M., Vikesland, P. J., Pruden, A. J., & Zhang, L. (2022) · Applied and Environmental Microbiology · doi:10.1128/aem.00991-22 · Cited by 525
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Gangavarapu, K., Latif, A. A., Mullen, J. L., Alkuzweny, M., Hufbauer, E., Tsueng, G., Haag, E., Zeller, M., Aceves, C. M., Zaiets, K., et al. (2023) · Nature Methods · doi:10.1038/s41592-023-01769-3 · Cited by 409
Zeng, A. G. X., Bansal, S., Jin, L., Mitchell, A., Chen, W. C., Abbas, H. A., Chan‐Seng‐Yue, M., Voisin, V., van Galen, P., Tierens, A. M., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01819-x · Cited by 353
Stout, A. J., Mirliani, A. B., Rittenberg, M. L., Shub, M., White, E. C., Yuen, J. S. K., & Kaplan, D. L. (2022) · Communications Biology · doi:10.1038/s42003-022-03423-8 · Cited by 313
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Lei, Y., VanPortfliet, J. J., Chen, Y., Bryant, J. D., Li, Y., Fails, D. M., Torres-Odio, S., Ragan, K. B., Deng, J., Mohan, A., et al. (2023) · Cell · doi:10.1016/j.cell.2023.05.039 · Cited by 299
Skowronek, P., Thielert, M., Voytik, E., Tanzer, M. C., Hansen, F. M., Willems, S., Karayel, Ö., Brunner, A., Meier, F., & Mann, M. (2022) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2022.100279 · Cited by 305
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Kennedy, N. A., Lin, S., Goodhand, J., Chanchlani, N., Hamilton, B., Bewshea, C., Nice, R., Chee, D., Cummings, F. J. R., Fraser, A., et al. (2021) · Gut · doi:10.1136/gutjnl-2021-324789 · Cited by 270
Irrgang, P., Gerling, J., Kocher, K., Lapuente, D., Steininger, P. A., Habenicht, K. M., Wytopil, M., Beileke, S., Schäfer, S., Zhong, J., et al. (2022) · Science Immunology · doi:10.1126/sciimmunol.ade2798 · Cited by 269
Weissbrod, O., Kanai, M., Shi, H., Gazal, S., Peyrot, W. J., Khera, A. V., Okada, Y., The Biobank Japan Project, Matsuda, K., Yamanashi, Y., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01036-9 · Cited by 262
Groves, H. E., Piché‐Renaud, P., Peci, A., Farrar, D. S., Buckrell, S., Bancej, C. M., Sevenhuysen, C., Campigotto, A. J., Gubbay, J. B., & Morris, S. K. (2021) · The Lancet Regional Health - Americas · doi:10.1016/j.lana.2021.100015 · Cited by 282
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Antibody structure prediction using interpretable deep learning
Ruffolo, J. A., Sulam, J., & Gray, J. J. (2022) · Patterns · doi:10.1016/j.patter.2021.100406 · Cited by 216
Poudyal, M., Patel, K., Gadhe, L. G., Sawner, A. S., Kadu, P., Datta, D., Mukherjee, S., Ray, S., Navalkar, A., Maiti, S., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41864-9 · Cited by 199
The extracellular matrix and perineuronal nets in memory
Fawcett, J. W., Fyhn, M., Jendelova, P., Kwok, J. C. F., Ruzicka, J., & Sorg, B. A. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01634-3 · Cited by 169
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Hwang, M., Canzoniero, J. V., Rosner, S., Zhang, G., White, J. R., Belcaid, Z., Cherry, C., Balan, A., Pereira, G., Curry, A., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-004688 · Cited by 150
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Adamo, S., Michler, J., Zurbuchen, Y., Cervia, C., Taeschler, P., Raeber, M. E., Sain, S. B., Nilsson, J., Moor, A. E., & Boyman, O. (2021) · Nature · doi:10.1038/s41586-021-04280-x · Cited by 146
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Biering, S. B., Sarnik, S. A., Wang, E., Zengel, J. R., Leist, S. R., Schäfer, A., Sathyan, V., Hawkins, P., Okuda, K., Tau, C., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01131-x · Cited by 137
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Wingert, J. C., & Sorg, B. A. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.673210 · Cited by 129
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Lipiński, W. P., Visser, B. S., Robu, I., Fakhree, M. A. A., Lindhoud, S., Claessens, M. M. A. E., & Spruijt, E. (2022) · Science Advances · doi:10.1126/sciadv.abq6495 · Cited by 131
Katsman, E., Orlanski, S., Martignano, F., Fox-Fisher, I., Shemer, R., Dor, Y., Zick, A., Eden, A., Petrini, I., Conticello, S. G., et al. (2022) · Genome biology · doi:10.1186/s13059-022-02710-1 · Cited by 134
Allen, R. J., Stockwell, A., Oldham, J. M., Guillén‐Guío, B., Schwartz, D. A., Maher, T. M., Flores, C., Noth, I., Yaspan, B. L., Jenkins, G. R., et al. (2022) · Thorax · doi:10.1136/thoraxjnl-2021-218577 · Cited by 122
Nishijima, S., Stankevič, E., Aasmets, O., Schmidt, T., Nagata, N., Keller, M. I., Ferretti, P., Juel, H. B., Fullam, A., Robbani, S. M., et al. (2024) · Cell · doi:10.1016/j.cell.2024.10.022 · Cited by 140
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Hunt, A. C., Case, J. B., Park, Y., Cao, L., Wu, K., Walls, A. C., Liu, Z., Bowen, J. E., Yeh, A. H.-W., Saini, S., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abn1252 · Cited by 121
Behavioral origin of sound-evoked activity in mouse visual cortex
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Jenster, L., Lange, K.-E., Normann, S., Hemdt, A. V., Wuerth, J. D., Schiffelers, L. D. J., Tesfamariam, Y. M., Gohr, F. N., Klein, L., Kaltheuner, I. H., et al. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20220837 · Cited by 114
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Zeng, A. G. X., Iacobucci, I., Shah, S., Mitchell, A., Wong, G., Bansal, S., Chen, D., Gao, Q., Kim, H., Kennedy, J. A., et al. (2025) · Blood Cancer Discovery · doi:10.1158/2643-3230.bcd-24-0342 · Cited by 126
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Caniels, T. G., Bontjer, I., van der Straten, K., Poniman, M., Burger, J. A., Appelman, B., Lavell, A. H. A., Oomen, M., Godeke, G.-J., Valle, C., et al. (2021) · Science Advances · doi:10.1126/sciadv.abj5365 · Cited by 107
Haghighi, M., Caicedo, J. C., Cimini, B. A., Carpenter, A. E., & Singh, S. (2022) · Nature Methods · doi:10.1038/s41592-022-01667-0 · Cited by 109
The spatial landscape of gene expression isoforms in tissue sections
Lebrigand, K., Bergenstråhle, J., Thrane, K., Mollbrink, A., Meletis, K., Barbry, P., Waldmann, R., & Lundeberg, J. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad169 · Cited by 113
Lupori, L., Totaro, V., Cornuti, S., Ciampi, L., Carrara, F., Grilli, E., Viglione, A., Tozzi, F., Putignano, E., Mazziotti, R. M., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112788 · Cited by 113
A new method for multiancestry polygenic prediction improves performance across diverse populations
Zhang, H., Zhan, J., Jin, J., Zhang, J., Lu, W., Zhao, R., Ahearn, T. U., Yu, Z., O’Connell, J., Jiang, Y., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01501-z · Cited by 116
Rapid and Parallel Adaptive Mutations in Spike S1 Drive Clade Success in SARS-CoV-2
Kistler, K. E., Huddleston, J., & Bedford, T. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2022.03.018 · Cited by 102
Croce, G., Bobisse, S., Moreno, D. L., Schmidt, J., Guillame, P., Harari, A., & Gfeller, D. (2024) · Nature Communications · doi:10.1038/s41467-024-47461-8 · Cited by 109
Unsupervised Spatially Embedded Deep Representation of Spatial TranscriptomicsPreprint
Fu, H., Xu, H., Chong, K., Li, M., Ang, K. S., Lee, H. K., Ling, J., Chen, A., Shao, L., Liu, L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.06.15.448542 · Cited by 98
Tiberti, S., Catozzi, C., Croci, O., Ballerini, M., Cagnina, D., Soriani, C., Scirgolea, C., Gong, Z., He, J.-T., Macandog, A. D. G., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34467-3 · Cited by 103
Insights from complex trait fine-mapping across diverse populationsPreprint
Kanai, M., Ulirsch, J. C., Karjalainen, J. M., Kurki, M., Karczewski, K. J., Fauman, E. B., Wang, Q. S., Jacobs, H., Aguet, F., Ardlie, K., et al. (2021) · medRxiv · doi:10.1101/2021.09.03.21262975 · Cited by 105
Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills
Vassiliadis, P., Beanato, E., Popa, T., Windel, F., Morishita, T., Neufeld, E., Duqué, J., Derosière, G., Wessel, M. J., & Hummel, F. C. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01901-z · Cited by 97
Robust dimethyl‐based multiplex‐DIA doubles single‐cell proteome depth via a reference channel
Thielert, M., Itang, E. C. M., Ammar, C., Rosenberger, F. A., Bludau, I., Schweizer, L., Nordmann, T. M., Skowronek, P., Wahle, M., Zeng, W., et al. (2023) · Molecular Systems Biology · doi:10.15252/msb.202211503 · Cited by 98
De novo design of allosterically switchable protein assemblies
Pillai, A. S., Idris, A., Philomin, A., Weidle, C., Skotheim, R., Leung, P. J. Y., Broerman, A. J., Demakis, C., Borst, A. J., Praetorius, F., et al. (2024) · Nature · doi:10.1038/s41586-024-07813-2 · Cited by 102
Potential Autoimmunity Resulting from Molecular Mimicry between SARS-CoV-2 Spike and Human Proteins
Nunez-Castilla, J., Stebliankin, V., Baral, P., Balbin, C. A., Sobhan, M., Cickovski, T., Mondal, A. M., Narasimhan, G., Chapagain, P., Mathee, K., et al. (2022) · Viruses · doi:10.3390/v14071415 · Cited by 100
Bioprinting microporous functional living materials from protein-based core-shell microgels
Ou, Y., Cao, S., Zhang, Y., Zhu, H., Guo, C., Yan, W., Xin, F., Dong, W., Zhang, Y., Narita, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-022-35140-5 · Cited by 96
Implications of AlphaFold 2 for crystallographic phasing by molecular replacement
McCoy, A. J., Sammito, M. D., & Read, R. J. (2022) · Acta Crystallographica Section D Structural Biology · doi:10.1107/s2059798321012122 · Cited by 104
Edelman-Klapper, H., Zittan, E., Shitrit, A. B., Rabinowitz, K. M., Goren, I., Avni‐Biron, I., Ollech, J. E., Lichtenstein, L., Banai-Eran, H., Yanai, H. A., et al. (2021) · Gastroenterology · doi:10.1053/j.gastro.2021.10.029 · Cited by 95
Zhao, H., Rasheed, H., Nøst, T. H., Cho, Y., Liu, Y., Bhatta, L., Bhattacharya, A., Initiative, G. B. M.-A., Hemani, G., Smith, G. D., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100195 · Cited by 90
IFITM3 blocks influenza virus entry by sorting lipids and stabilizing hemifusion
Klein, S., Golani, G., Lolicato, F., Lahr, C. M., Beyer, D., Herrmann, A., Wachsmuth-Melm, M., Reddmann, N., Brecht, R., Hosseinzadeh, M., et al. (2023) · Cell Host & Microbe · doi:10.1016/j.chom.2023.03.005 · Cited by 95
Szego, E. M., Malz, L., Bernhardt, N., Rösen-Wolff, A., Falkenburger, B. H., & Luksch, H. (2022) · eLife · doi:10.7554/elife.81943 · Cited by 94
Directed Evolution of Aptamer Discovery Technologies
Wu, D., Gordon, C. K. L., Shin, J. H., Eisenstein, M. S., & Soh, H. T. (2022) · Accounts of Chemical Research · doi:10.1021/acs.accounts.1c00724 · Cited by 94
The individual and global impact of copy-number variants on complex human traits
Auwerx, C., Lepamets, M., Sadler, M. C., Patxot, M., Stojanov, M., Baud, D., Mägi, R., Esko, T., Metspalu, A., Milani, L. A., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.02.010 · Cited by 94
Roden, C., Dai, Y., Giannetti, C. A., Seim, I., Lee, M., Sealfon, R. S. G., McLaughlin, G. A., Boerneke, M. A., Iserman, C., Wey, S. A., et al. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac596 · Cited by 89
Subsynaptic positioning of AMPARs by LRRTM2 controls synaptic strength
Ramsey, A. M., Tang, A., LeGates, T. A., Gou, X., Carbone, B. E., Thompson, S. M., Biederer, T., & Blanpied, T. A. (2021) · Science Advances · doi:10.1126/sciadv.abf3126 · Cited by 90
The landscape of metabolic brain alterations in Alzheimer's disease
Batra, R., Arnold, M., Wörheide, M. A., Allen, M., Wang, X., Blach, C., Levey, A. I., Seyfried, N. T., Ertekin‐Taner, N., Bennett, D. A., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12714 · Cited by 90
Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC
Padovani, F., Mairhörmann, B., Falter‐Braun, P., Lengefeld, J., & Schmoller, K. M. (2022) · BMC Biology · doi:10.1186/s12915-022-01372-6 · Cited by 95
Khosla, M., Murty, N. A. R., & Kanwisher, N. (2022) · Current Biology · doi:10.1016/j.cub.2022.08.009 · Cited by 108
Green, A. G., Yoon, C. H., Chen, M. L., Ektefaie, Y., Fina, M., Freschi, L., Gröschel, M. I., Kohane, I. S., Beam, A. L., & Farhat, M. R. (2022) · Nature Communications · doi:10.1038/s41467-022-31236-0 · Cited by 90
NetGO 3.0: Protein Language Model Improves Large-Scale Functional Annotations
Wang, S., You, R., Liu, Y., Xiong, Y., & Zhu, S. (2023) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2023.04.001 · Cited by 91
Santos‐Medellín, C., Blazewicz, S. J., Pett‐Ridge, J., Firestone, M. K., & Emerson, J. (2023) · Nature Ecology & Evolution · doi:10.1038/s41559-023-02207-5 · Cited by 89
Gazit, S., Saciuk, Y., Perez, G., Peretz, A., Pitzer, V. E., & Patalon, T. (2022) · BMJ · doi:10.1136/bmj-2022-071113 · Cited by 87
Multispecies biofilm architecture determines bacterial exposure to phages
Winans, J. B., Wucher, B. R., & Nadell, C. D. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001913 · Cited by 86
Pan-cancer classification of single cells in the tumour microenvironment
Nofech-Mozes, I., Soave, D. M., Awadalla, P., & Abelson, S. (2023) · Nature Communications · doi:10.1038/s41467-023-37353-8 · Cited by 90
Sampaio, N. M. V., Blassick, C. M., Andreani, V., Lugagne, J., & Dunlop, M. J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2115032119 · Cited by 84
Generation of human alveolar epithelial type I cells from pluripotent stem cells
Burgess, C. L., Huang, J., Bawa, P., Alysandratos, K., Minakin, K., Ayers, L. J., Morley, M. P., Babu, A., Villacorta-Martín, C., Yampolskaya, M., et al. (2024) · Cell stem cell · doi:10.1016/j.stem.2024.03.017 · Cited by 98
Calderón-Franco, D., Sarelse, R., Christou, S., Pronk, M., van Loosdrecht, M. C. M., Abeel, T., & Weissbrodt, D. G. (2022) · Water Research · doi:10.1016/j.watres.2022.118571 · Cited by 83
Chen, Z., King, W. C., Hwang, A., Gerstein, M., & Zhang, J. (2022) · Science Advances · doi:10.1126/sciadv.abq3745 · Cited by 80
CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data
Bae, S., Na, K. J., Koh, J., Lee, D. S., Choi, H., & Kim, Y. T. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac084 · Cited by 76
Contribution of behavioural variability to representational drift
Sadeh, S., & Clopath, C. (2022) · eLife · doi:10.7554/elife.77907 · Cited by 80
Chen, C., Boorla, V. S., Banerjee, D., Chowdhury, R., Cavener, V. S., Nissly, R. H., Gontu, A., Boyle, N. R., Vandegrift, K. J., Nair, M. S., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2106480118 · Cited by 81
Steele, L., Olabi, B., Roberts, K., Mazin, P., Koplev, S., Tudor, C. L., Rumney, B. M., Admane, C., Jiang, T., Correa‐Gallegos, D., et al. (2025) · Nature Immunology · doi:10.1038/s41590-025-02267-8 · Cited by 95
BRD2 inhibition blocks SARS-CoV-2 infection by reducing transcription of the host cell receptor ACE2
Samelson, A. J., Tran, Q. D., Robinot, R., Carrau, L., Rezelj, V. V., Kain, A. M., Chen, M., Ramadoss, G. N., Guo, X., Lim, S. A., et al. (2022) · Nature Cell Biology · doi:10.1038/s41556-021-00821-8 · Cited by 76
Metadata
- Authors
- Christensen, A. C., Lensjø, K. K., Lepperød, M. E., Dragly, S.-A., Sutterud, H., Blackstad, J. S., Fyhn, M., & Hafting, T.
- Affiliations
- University of Oslo (NO)
- Corresponding author
- Hafting, Torkel
- ORCID
- Venue
- Nature Communications
- Published
- 2021-01-11
- Volume
- 12
- Issue
- 1
- Pages
- 253-253
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7801665
- OpenAlex
- W3120392574
- Cited by
- 1,865
- References
- 76
- Citations by year
- 2026: 132 · 2025: 277 · 2024: 340 · 2023: 431 · 2022: 499 · 2021: 170
- FWCI
- 189.42
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- Norges Forskningsråd (217920, 231248)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Spatial Cognition and Navigation
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- perineuronal nets, grid cells, extracellular matrix, inhibitory interneurons, spatial memory, navigation, entorhinal cortex, hippocampus, synaptic stability
- MeSH terms
- Grid Cells, Action Potentials, Animals, Computer Simulation, Hippocampus, Male, Models, Neurological, Neurons, Theta Rhythm, Time Factors, Entorhinal Cortex, Rats, Long-Evans, Rats
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