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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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Citations
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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Veeneman, R. R., Vermeulen, J. M., Abdellaoui, A., Sanderson, E. C. M., Wootton, R. E., Tadros, R., Bezzina, C. R., Denys, D. A. J. P., Munafo, M. R., Verweij, K. J. H., et al. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab132 · Cited by 81
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Leonardi, M., Hallett, E. Y., Beyer, R. M., Krapp, M., & Manica, A. (2023) · Ecography · doi:10.1111/ecog.06481 · Cited by 85
Yuan, J., Xu, L., Chien, C.-Y., Yang, Y., Yue, Y., Fadera, S., Stark, A. H., Schwetye, K. E., Nazeri, A., Desai, R. R., et al. (2023) · npj Precision Oncology · doi:10.1038/s41698-023-00448-y · Cited by 76
Shumliakivska, M., Luxán, G., Hemmerling, I., Scheller, M., Li, X., Müller-Tidow, C., Schuhmacher, B., Sun, Z., Dendorfer, A., Debes, A., et al. (2024) · Nature Communications · doi:10.1038/s41467-023-43003-w · Cited by 76
Sánchez‐Martínez, D., Tirado, N., Mensurado, S., Martínez‐Moreno, A., Romecín, P. A., Gutiérrez‐Agüera, F., Correia, D. V., Silva‐Santos, B., & Menéndez, P. R. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005400 · Cited by 79
Moncunill, G., Aguilar, R., Ribes, M., Ortega, N., Rubio, R., Salmerón, G., Molina, M. J., Vidal, M., Barrios, D., Mitchell, R. A., et al. (2022) · EBioMedicine · doi:10.1016/j.ebiom.2021.103805 · Cited by 74
Yang, E., Metzloff, M., Langmüller, A. M., Xu, X., Clark, A. G., Messer, P. W., & Champer, J. (2022) · G3 Genes Genomes Genetics · doi:10.1093/g3journal/jkac081 · Cited by 68
Wegrzyn, D., Juckel, G., & Faissner, A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23105482 · Cited by 80
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Wang, Y., Wang, Y. G., Hu, C., Li, M., Fan, Y., Otter, N., Sam, I., Gou, H., Hu, Y., Kwok, T., et al. (2022) · npj Precision Oncology · doi:10.1038/s41698-022-00285-5 · Cited by 77
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Mantri, M., Hinchman, M. M., McKellar, D. W., Wang, M. F. Z., Cross, S. T., Parker, J. S. L., & De Vlaminck, I. (2022) · Nature Cardiovascular Research · doi:10.1038/s44161-022-00138-1 · Cited by 74
Planchais, C., Fernández, I., Bruel, T., de Melo, G. D., Prot, M., Beretta, M., Guardado‐Calvo, P., Dufloo, J., Molinos-Albert, L. M., Backović, M., et al. (2022) · The Journal of Experimental Medicine · doi:10.1084/jem.20220638 · Cited by 75
Schuermans, A., Pournamdari, A. B., Lee, J., Bhukar, R., Ganesh, S., Darosa, N., Small, A. M., Yu, Z., Hornsby, W., Koyama, S., et al. (2024) · Nature Cardiovascular Research · doi:10.1038/s44161-024-00567-0 · Cited by 71
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Shirai, Y., Nakanishi, Y., Suzuki, A., Konaka, H., Nishikawa, R., Sonehara, K., Namba, S., Tanaka, H., Masuda, T., Yaga, M., et al. (2022) · Annals of the Rheumatic Diseases · doi:10.1136/annrheumdis-2022-222460 · Cited by 70
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Marelli, G., Morina, N., Portale, F., Pandini, M., Iovino, M., Di Conza, G., Ho, P.-C., & Di Mitri, D. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-004584 · Cited by 69
Murtaza, N., Cheng, A. A., Brown, C. O., Meka, D. P., Hong, S., Uy, J. A., El-Hajjar, J., Pipko, N., Unda, B. K., Schwanke, B., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111678 · Cited by 70
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Makhmut, A., Qin, D., Fritzsche, S., Nimo, J., König, J., & Coscia, F. (2023) · Cell Systems · doi:10.1016/j.cels.2023.10.003 · Cited by 67
Gânier, C., Mazin, P., Herrera-Oropeza, G. E., Du-Harpur, X., Blakeley, M., Gabriel, J., Predeus, A. V., Çakır, B., Prete, M., Harun, N., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2313326120 · Cited by 65
Gurmessa, D. K., & Jimma, W. (2024) · BMJ Health & Care Informatics · doi:10.1136/bmjhci-2023-100954 · Cited by 81
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Nierzwicki, Ł., East, K. W., Morzan, U. N., Arantes, P., Batista, V. S., Lisi, G. P., & Palermo, G. (2021) · eLife · doi:10.7554/elife.73601 · Cited by 65
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Huddy, T. F., Hsia, Y., Kibler, R. D., Xu, J., Bethel, N. P., Nagarajan, D., Redler, R. L., Leung, P. J. Y., Weidle, C., Courbet, A., et al. (2024) · Nature · doi:10.1038/s41586-024-07188-4 · Cited by 69
Parvalbumin interneuron alterations in stress-related mood disorders: A systematic review
Perlman, G., Tanti, A., & Mechawar, N. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100380 · Cited by 71
Layan, M., Müller, N. F., Dellicour, S., Maio, N. D., Bourhy, H., Cauchemez, S., & Baele, G. (2023) · Virus Evolution · doi:10.1093/ve/vead010 · Cited by 65
Lei, P., Pereira, E. R., Andersson, P., Amoozgar, Z., van Wijnbergen, J. W., O’Melia, M. J., Zhou, H., Chatterjee, S., Ho, W. W., Posada, J. M., et al. (2023) · The Journal of Experimental Medicine · doi:10.1084/jem.20221847 · Cited by 71
Larouche, J. A., Fraczek, P. M., Kurpiers, S. J., Yang, B. A., Davis, C. S., Castor‐Macias, J. A., Sabin, K., Anderson, S. E., Harrer, J. A., Hall, M. S., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2111445119 · Cited by 67
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Mulla, Y., Avellaneda, M. J., Roland, A., Baldauf, L., Jung, W., Kim, T., Tans, S. J., & Koenderink, G. H. (2022) · Nature Materials · doi:10.1038/s41563-022-01288-0 · Cited by 64
Seuma, M., Lehner, B., & Bolognesi, B. (2022) · Nature Communications · doi:10.1038/s41467-022-34742-3 · Cited by 63
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Eng, J. R., Bucher, E., Hu, Z., Zheng, T., Gibbs, S. L., Chin, K., & Gray, J. W. (2022) · Communications Biology · doi:10.1038/s42003-022-03368-y · Cited by 60
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Gavenčiak, T., Monrad, J. T., Leech, G., Sharma, M., Mindermann, S., Brauner, J., Bhatt, S., & Kulveit, J. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010435 · Cited by 63
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Li, A., Liu, S., Bakshi, A., Jiang, L., Chen, W., Zheng, Z., Sullivan, P. F., Visscher, P. M., Wray, N. R., Yang, J., et al. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.12.006 · Cited by 60
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Tonkin‐Hill, G. Q., Gladstone, R. A., Pöntinen, A. K., Arredondo-Alonso, S., Bentley, S. D., & Corander, J. (2023) · Genome Research · doi:10.1101/gr.277340.122 · Cited by 61
Blázquez, B., León, D. S., Torres‐Bacete, J., Gómez-Luengo, Á., Kniewel, R., Martínez, I., Sordon, S., Wilczak, A., Salgado, S., Huszcza, E., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad758 · Cited by 62
Genetic risk factors have a substantial impact on healthy life years
Jukarainen, S., Kiiskinen, T., Kuitunen, S., Havulinna, A. S., Karjalainen, J. M., Cordioli, M., Rämö, J. T., Mars, N., FinnGen, Samocha, K. E., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01957-2 · Cited by 68
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Huizing, G.-J., Deutschmann, I. M., Gabriel Peyré, A., & Cantini, L. (2023) · Nature Communications · doi:10.1038/s41467-023-43019-2 · Cited by 59
Moerkens, R., Mooiweer, J., Ramírez-Sánchez, A. D., Oelen, R., Franke, L., Wijmenga, C., Barrett, R. J., Jonkers, I. H., & Withoff, S. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114247 · Cited by 68
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Talasaz, A. H., Sadeghipour, P., Aghakouchakzadeh, M., Dreyfus, I., Kakavand, H., Ariannejad, H., Gupta, A., Madhavan, M. V., Tassell, B. W. V., Jiménez, D., et al. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.08.021 · Cited by 59
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Karami, O., Philipsen, C., Rahimi, A., Nurillah, A. R., Boutilier, K., & Offringa, R. (2022) · The Plant Journal · doi:10.1111/tpj.16024 · Cited by 60
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Narowski, T. M., Raphel, K., Adams, L. E., Huang, J., Vielot, N. A., Jadi, R., de Silva, A. M., Baric, R. S., Lafleur, J., & Premkumar, L. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110336 · Cited by 53
Cryo-EM structures of human RNA polymerase I
Misiaszek, A. D., Girbig, M., Grötsch, H., Baudin, F., Murciano, B., Lafita, A., & Müller, C. W. (2021) · Nature Structural & Molecular Biology · doi:10.1038/s41594-021-00693-4 · Cited by 54
Xlink Mapping and AnalySis (XMAS) - Smooth Integrative Modeling in ChimeraXPreprint
Lagerwaard, I. M., Albanese, P., Jankevics, A., & Scheltema, R. A. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.04.21.489026 · Cited by 49
Severe COVID-19 Shares a Common Neutrophil Activation Signature with Other Acute Inflammatory States
Schimke, L. F., Marques, A. H. C., Baiocchi, G. C., Prado, C. A. D. S., Fonseca, D. L. M., Freire, P. P., Plaça, D. R., Filgueiras, I. S., Salgado, R. C., Jansen-Marques, G., et al. (2022) · Cells · doi:10.3390/cells11050847 · Cited by 50
Chow, Y. L., Singh, S., Carpenter, A. E., & Way, G. P. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009888 · Cited by 53
Relative abundance data can misrepresent heritability of the microbiome
Bruijning, M., Ayroles, J. F., Henry, L. P., Koskella, B., Meyer, K., & Metcalf, C. J. E. (2023) · Microbiome · doi:10.1186/s40168-023-01669-w · Cited by 52
DeWeirdt, P. C., McGee, A. V., Zheng, F., Nwolah, I., Hegde, M., & Doench, J. G. (2022) · Nature Communications · doi:10.1038/s41467-022-33024-2 · Cited by 50
Lateral Axonal Modulation Is Required for Stimulus-Specific Olfactory Conditioning in Drosophila
Manoim, J. E., Davidson, A. M., Weiss, S., Hige, T., & Parnas, M. (2022) · Current Biology · doi:10.1016/j.cub.2022.09.007 · Cited by 54
Multishot tomography for high-resolution in situ subtomogram averaging
Khavnekar, S., Wan, W., Majumder, P., Wietrzyñski, W., Erdmann, P. S., & Plitzko, J. M. (2022) · Journal of Structural Biology · doi:10.1016/j.jsb.2022.107911 · Cited by 51
Region-selective control of the thalamic reticular nucleus via cortical layer 5 pyramidal cells
Hádinger, N., Bősz, E., Tóth, B., Vantomme, G., Lüthi, A., & Acsády, L. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01217-z · Cited by 54
Spatial transcriptomics using multiplexed deterministic barcoding in tissue
Wirth, J., Huber, N., Yin, K., Brood, S., Chang, S., Martinez‐Jimenez, C. P., & Meier, M. (2023) · Nature Communications · doi:10.1038/s41467-023-37111-w · Cited by 52
Phulphagar, K. M., Ctortecka, C., Jácome, A. S. V., Klaeger, S., Verzani, E. K., Hernandez, G. M., Udeshi, N. D., Clauser, K. R., Abelin, J. G., & Carr, S. A. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100563 · Cited by 49
Heavy-tailed neuronal connectivity arises from Hebbian self-organization
Lynn, C. W., Holmes, C. M., & Palmer, S. E. (2024) · Nature Physics · doi:10.1038/s41567-023-02332-9 · Cited by 54
Human aneuploid cells depend on the RAF/MEK/ERK pathway for overcoming increased DNA damage
Zerbib, J., Ippolito, M. R., Eliezer, Y., Feudis, G. D., Reuveni, E., Kadmon, A. S., Martin, S., Viganò, S., Leor, G., Berstler, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-52176-x · Cited by 49
Dormant spores sense amino acids through the B subunits of their germination receptors
Artzi, L., Alon, A., Brock, K. P., Green, A. G., Tam, A., Ramírez‐Guadiana, F. H., Marks, D. S., Kruse, A. C., & Rudner, D. Z. (2021) · Nature Communications · doi:10.1038/s41467-021-27235-2 · Cited by 51
Faye, S. L., Krumkamp, R., Doumbia, S., Tounkara, M., Strauss, R. A., Ouédraogo, H. G., Sagna, T., Barry, A. M., Mbawah, A. K., Doumbia, C. O., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059138 · Cited by 49
Perineuronal Nets: Subtle Structures with Large Implications
Carceller, H., Gramuntell, Y., Klimczak, P., & Nácher, J. (2022) · The Neuroscientist · doi:10.1177/10738584221106346 · Cited by 54
Santos, L. H., Kronenberger, T., Almeida, R. G., da Silva, E. B., Rocha, R. E. O., Oliveira, J. C., Barreto, L. V., Skinner, D., Fajtová, P., Giardini, M. A., et al. (2022) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.2c00693 · Cited by 50
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Aditya, C., Bertaux, F., Batt, G., & Ruess, J. (2021) · Nature Communications · doi:10.1038/s41467-021-26129-7 · Cited by 51
Higher-order interactions shape microbial interactions as microbial community complexity increases
Morin, M., Morrison, A. J., Harms, M. J., & Dutton, R. J. (2022) · Scientific Reports · doi:10.1038/s41598-022-25303-1 · Cited by 49
Geller‐McGrath, D., Mara, P., Taylor, G. T., Suter, E. A., Edgcomb, V. P., & Pachiadaki, M. (2023) · Nature Communications · doi:10.1038/s41467-023-36026-w · Cited by 47
Hata, K., Yanagihara, T., Matsubara, K., Kunimura, K., Suzuki, K., Tsubouchi, K., Eto, D., Ando, H., Uehara, M., Ikegame, S., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1145814 · Cited by 51
Wilkinson, M. G. L., MOULDING, D. A., McDonnell, T. C. R., Orford, M., Wincup, C., Ting, J. Y. J., Otto, G., Restuadi, R., Kelberman, D., Papadopoulou, C., et al. (2022) · Annals of the Rheumatic Diseases · doi:10.1136/ard-2022-223469 · Cited by 45
Clinical PARP inhibitors allosterically induce PARP2 retention on DNA
Langelier, M.-F., Lin, X., Zha, S., & Pascal, J. M. (2023) · Science Advances · doi:10.1126/sciadv.adf7175 · Cited by 50
Proteostasis governs differential temperature sensitivity across embryonic cell types
Dorrity, M. W., Saunders, L. M., Duran, M., Srivatsan, S. R., Barkan, E. R., Jackson, D. L., Sattler, S. M., Ewing, B., Queitsch, C., Shendure, J., et al. (2023) · Cell · doi:10.1016/j.cell.2023.10.013 · Cited by 48
Label-free detection and profiling of individual solution-phase molecules
Needham, L.-M., Saavedra, C., Rasch, J. K., Sole-Barber, D., Schweitzer, B. S., Fairhall, A. J., Vollbrecht, C. H., Wan, S., Podorova, Y., Bergsten, A. J., et al. (2024) · Nature · doi:10.1038/s41586-024-07370-8 · Cited by 48
Genome editing in animals with minimal PAM CRISPR-Cas9 enzymes
Vicencio, J., Sánchez-Bolaños, C., Moreno-Sánchez, I., Brena, D., Vejnar, C. E., Kukhtar, D., Ruiz-López, M., Cots-Ponjoan, M., Rubio, A., Melero, N. R., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30228-4 · Cited by 47
How Stress Influences the Dynamic Plasticity of the Brain’s Extracellular Matrix
Laham, B. J., & Gould, E. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.814287 · Cited by 46
Structural insight into the individual variability architecture of the functional brain connectome
Sun, L., Liang, X., Duan, D., Liu, J., Chen, Y., Wang, X., Liao, X., Xia, M., Zhao, T., & Yong He, A. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119387 · Cited by 48
Spatiotemporal mapping of immune and stem cell dysregulation after volumetric muscle loss
Larouche, J. A., Wallace, E. C., Spence, B. D., Johnson, S. A., Mangesh, K., Buras, E. D., Brown, B. N., Badylak, S. F., & Aguilar, C. A. (2023) · JCI Insight · doi:10.1172/jci.insight.162835 · Cited by 47
Childebayeva, A., Fricke, F., Rohrlach, A. B., Huang, L. H., Schiffels, S., Vesakoski, O., Mannermaa, K., Semerau, L., Aron, F., Солодовников, К. Н., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06343-x · Cited by 48
Tewari, A. K., Cheung, A. T. M., Crowdis, J. P., Conway, J. R., Camp, S. Y., Wankowicz, S. A. M., Livitz, D. G., Park, J., Lis, R. T., Bosma-Moody, A., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109665 · Cited by 47
Recruitment of highly cytotoxic CD8+ T cell receptors in mild SARS-CoV-2 infection
Wagner, K. I., Mateyka, L. M., Jarosch, S., Grass, V., Weber, S., Schober, K., Hammel, M., Burrell, T., Kalali, B. N., Poppert, H., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110214 · Cited by 47
Hoces, D., Lan, J., Sun, W., Geiser, T., Stäubli, M. L., Barazzone, E. C., Arnoldini, M., Challa, T. D., Klug, M., Kellenberger, A., et al. (2022) · PLoS Biology · doi:10.1371/journal.pbio.3001743 · Cited by 49
Yang, L., Beek, M. V., Wang, Z., Muecksch, F., Canis, M., Hatziioannou, T., Bieniasz, P. D., Nussenzweig, M. C., & Chakraborty, A. K. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112256 · Cited by 50
Zahler, S. H., Taylor, D. E., Wong, J. Y., Adams, J. M., & Feinberg, E. H. (2021) · eLife · doi:10.7554/elife.73081 · Cited by 52
Bailey, A. D., Talkish, J., Ding, H., Igel, H., Durán, A., Mantripragada, S., Paten, B., & Ares, M. (2022) · eLife · doi:10.7554/elife.76562 · Cited by 44
The motif composition of variable number tandem repeats impacts gene expressionPreprint
Lu, T.-Y. T., Smaruj, P. N., Fudenberg, G., Mancuso, N., & Chaisson, M. (2023) · Genome Research · doi:10.1101/gr.276768.122 · Cited by 45
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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