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Sensory Deprivation Alters Aggrecan and Perineuronal Net Expression in the Mouse Barrel Cortex
Open accessAbstract
An important role for the neural extracellular matrix in modulating cortical activity-dependent synaptic plasticity has been established by a number of recent studies. However, identification of the critical molecular components of the neural matrix that mediate these processes is far from complete. Of particular interest is the perineuronal net (PN), an extracellular matrix component found surrounding the cell body and proximal neurites of a subset of neurons. Because of the apposition of the PN to synapses and expression of this structure coincident with the close of the critical period, it has been hypothesized that nets could play uniquely important roles in synapse stabilization and maturation. Interestingly, previous work has also shown that expression of PNs is dependent on appropriate sensory stimulation in the visual system. Here, we investigated whether PNs in the mouse barrel cortex are expressed in an activity-dependent manner by manipulating sensory input through whisker trimming. Importantly, this manipulation did not lead to a global loss of PNs but instead led to a specific decrease in PNs, detected with the antibody Cat-315, in layer IV of the barrel cortex. In addition, we identified a key activity-regulated component of PNs is the proteoglycan aggrecan. We also demonstrate that these Cat-315-positive neurons virtually all also express parvalbumin. Together, these data are in support of an important role for aggrecan in the activity-dependent formation of PNs on parvalbumin-expressing cells and suggest a role for expression of these nets in regulating the close of the critical period.
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In the citing paper
“CSPG-enriched PNNs form in an activity-dependent manner during late postnatal development, completing neuronal maturation.32, 33, 34”
From Aggrecan and chondroitin-6-sulfate abnormalities in schizophrenia and bipolar disorder: a postmortem study on the amygdala (2015) · cites this paper as [32]
In the citing paper
“The role of ECM in cortical plasticity has been previously reported (Pizzorusso et al. 2002;Nagy et al. 2006;McRae et al. 2007;Rivera et al. 2010)”
From Genetic Reduction of Matrix Metalloproteinase-9 Promotes Formation of Perineuronal Nets Around Parvalbumin-Expressing Interneurons and Normalizes Auditory Cortex Responses in Developing Fmr1 Knock-Out Mice (2018) · cites this paper as McRae et al. 2007
In the citing paper
“the expression of PNNs in the mouse barrel cortex during development was dependent on appropriate sensory stimulation (McRae et al., 2007)”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as McRae et al., 2007
In the citing paper
“Sensory deprivation in adult mice, however, did not alter aggrecan expression, indicating that once established, maintenance of PNNs does not require normal sensory input (McRae et al., 2007)”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as McRae et al., 2007
In the citing paper
“sensory deprivation by whisker trimming within the first 30 days of birth was found to decrease the number of aggrecan-positive PNNs around parvalbumin-expressing cells in layer IV of the mouse barrel cortex and prolong the critical period (McRae et al., 2007)”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as McRae et al., 2007
In the citing paper
“its expression is dependent on neuronal activity during a maturationally based ‘critical period’”
From Perineuronal nets and schizophrenia: The importance of neuronal coatings (2014) · cites this paper as McRae et al., 2007
In the citing paper
“The organization of specific ECM molecules into PNNs in vivo requires the presence of appropriate stimuli and occurs during postnatal development, in concomitance with the end of the critical period for experience-dependent plasticity (Carulli et al., 2010;Kalb and Hockfield, 1990;McRae et al., 2007;Pizzorusso et al., 2002;Ye and Miao, 2013).”
From The hyaluronan and proteoglycan link proteins: Organizers of the brain extracellular matrix and key molecules for neuronal function and plasticity (2015) · cites this paper as McRae et al., 2007
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Cites
West, M. J., Slomianka, L., & Gundersen, H. J. G. (1991) · The Anatomical Record · doi:10.1002/ar.1092310411 · Cited by 2,994
SINGLE-CELL RESPONSES IN STRIATE CORTEX OF KITTENS DEPRIVED OF VISION IN ONE EYE
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.1003 · Cited by 2,628
Critical period plasticity in local cortical circuits
Hensch, T. K. (2005) · Nature Reviews Neuroscience · doi:10.1038/nrn1787 · Cited by 2,323
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
Wiesel, T. N., & Hubel, D. H. (1963) · Journal of Neurophysiology · doi:10.1152/jn.1963.26.6.978 · Cited by 1,291
Lecticans: organizers of the brain extracellular matrix
Yamaguchi, Y. (2000) · Cellular and Molecular Life Sciences · doi:10.1007/pl00000690 · Cited by 642
A critical period for experience-dependent synaptic plasticity in rat barrel cortex
Fox, K. D. (1992) · Journal of Neuroscience · doi:10.1523/jneurosci.12-05-01826.1992 · Cited by 420
Kawaguchi, Y., & Kondo, S. (2002) · Journal of Neurocytology · doi:10.1023/a:1024126110356 · Cited by 395
Perineuronal nets — a specialized form of extracellular matrix in the adult nervous system
Celio, M. R., & Blümcke, I. (1994) · Brain Research Reviews · doi:10.1016/0165-0173(94)90006-x · Cited by 386
Structural and functional recovery from early monocular deprivation in adult rats
Pizzorusso, T., Medini, P., Landi, S., Baldini, S., Berardi, N., & Maffei, L. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0602657103 · Cited by 367
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Items 101–200 of 272
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Mariga, A., Zavadil, J., Ginsberg, S. D., & Chao, M. V. (2014) · Developmental Neurobiology · doi:10.1002/dneu.22216 · Cited by 43
Dwyer, C. A., Baker, E., Hu, H., & Matthews, R. T. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.06.026 · Cited by 43
Self-citationCardis, R., Cabungcal, J.-H., Dwir, D., Kim, Q., & Steullet, P. (2017) · Neurobiology of Disease · doi:10.1016/j.nbd.2017.10.006 · Cited by 45
Luca, C. D., Savarese, L., Colangelo, A. M., Bianco, M. R., Cirillo, G., Alberghina, L., & Papa, M. (2015) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-015-0218-2 · Cited by 40
Fine structure analysis of perineuronal nets in the ketamine model of schizophrenia
Kaushik, R., Lipachev, N., Matuszko, G., Kochneva, A., Dvoeglazova, A., Becker, A., Paveliev, M., & Dityatev, A. E. (2020) · European Journal of Neuroscience · doi:10.1111/ejn.14853 · Cited by 43
Multiple Genes on Chromosome 7 Regulate Dopaminergic Amacrine Cell Number in the Mouse Retina
Whitney, I. E., Raven, M. A., Ciobanu, D. C., Williams, R. W., & Reese, B. E. (2009) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.08-2556 · Cited by 41
Arbat-Plana, A., Torres-Espín, A., Navarro, X., & Udina, E. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2014.10.009 · Cited by 40
Extracellular matrix and synapse formation
Yang, L., Wei, M., Xing, B., & Zhang, C. (2022) · Bioscience Reports · doi:10.1042/bsr20212411 · Cited by 42
Chu, P., Abraham, R. R., Budhu, K., Khan, U., García, N. D. M., & Brumberg, J. C. (2018) · Neuroscience · doi:10.1016/j.neuroscience.2018.07.004 · Cited by 41
Self-citationTanaka, Y., & Mizoguchi, K. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.08.060 · Cited by 39
The mechanisms of perineuronal net abnormalities in contributing aging and neurological diseases
Dong, Y., Zhao, K., Qin, X., Du, G., & Gao, L. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.102092 · Cited by 39
Li, P., Rudolph, U., & Huntsman, M. M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0900922106 · Cited by 38
The Development and Activity-Dependent Expression of Aggrecan in the Cat Visual Cortex
Kind, P. C., Sengpiel, F., Beaver, C. J., Crocker-Buque, A., Kelly, G. M., Matthews, R. T., & Mitchell, D. E. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs015 · Cited by 38
Self-citationKaretko, M., Skangiel-Kramska, J., & Nowicka, D. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.07.049 · Cited by 37
Bitanihirwe, B. K. Y., Mauney, S. A., & Woo, T.-U. W. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.03.1047 · Cited by 40
Neural ECM in regeneration and rehabilitation
Yang, S., Kwok, J. C. F., & Fawcett, J. W. (2014) · Progress in brain research · doi:10.1016/b978-0-444-63486-3.00008-6 · Cited by 37
Impaired Cognitive Function after Perineuronal Net Degradation in the Medial Prefrontal Cortex
Paylor, J. W., Wendlandt, E., Freeman, T. S., Greba, Q., Marks, W. N., Howland, J. G., & Winship, I. R. (2018) · eNeuro · doi:10.1523/eneuro.0253-18.2018 · Cited by 39
Enzymatic Degradation of Cortical Perineuronal Nets Reverses GABAergic Interneuron Maturation
Willis, A., Pratt, J. A., & MORRIS, B. J. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02772-z · Cited by 38
From molecules to behavior: Implications for perineuronal net remodeling in learning and memory
Sanchez, B., Kraszewski, P., Lee, S., & Cope, E. C. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.16036 · Cited by 41
Topographical and cellular distribution of perineuronal nets in the human cochlear nucleus
Wagoner, J. L., & Kulesza, R. J. (2009) · Hearing Research · doi:10.1016/j.heares.2009.04.008 · Cited by 36
Nguyen, A., Khaleel, H. M., & Razak, K. A. (2017) · Hearing Research · doi:10.1016/j.heares.2017.04.015 · Cited by 36
Non-Cell-Autonomous Factors Implicated in Parvalbumin Interneuron Maturation and Critical Periods
Gibel-Russo, R., Benacom, D., & Nardo, A. A. D. (2022) · Frontiers in Neural Circuits · doi:10.3389/fncir.2022.875873 · Cited by 37
Differential distribution of aggrecan isoforms in perineuronal nets of the human cerebral cortex
Virgintino, D., Perissinotto, D., Girolamo, F., Mucignat, M. T., Montanini, L., Errede, M., Kaneiwa, T., Yamada, S., Sugahara, K., Roncali, L., et al. (2009) · Journal of Cellular and Molecular Medicine · doi:10.1111/j.1582-4934.2009.00694.x · Cited by 39
Myers, A. K., Ray, J., & Kulesza, R. J. (2012) · Brain Research · doi:10.1016/j.brainres.2012.05.024 · Cited by 34
Regulation of the E/I-balance by the neural matrisome
Mueller-Buehl, C., Wegrzyn, D., Bauch, J., & Faissner, A. (2023) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2023.1102334 · Cited by 35
Yabuno, K., Morise, J., Kizuka, Y., Hashii, N., Kawasaki, N., Takahashi, S., Miyata, S., Izumikawa, T., Kitagawa, H., Takematsu, H., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144560 · Cited by 36
Reinhard, S. M., Rais, M., Afroz, S., Hanania, Y., Pendi, K., Espinoza, K., Rosenthal, R., Binder, D. K., Ethell, I. M., & Razak, K. A. (2019) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2019.107042 · Cited by 37
Developmental Expression of the Oligodendrocyte Myelin Glycoprotein in the Mouse Telencephalon
Gil, V., Bichler, Z., Lee, J. K., Seira, O., Llorens, F., Bribián, A., Morales, R., Claverol-Tinturé, E., Soriano, E., Sumoy, L., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp246 · Cited by 33
The protein tyrosine phosphatase RPTPζ/phosphacan is critical for perineuronal net structure
Eill, G. J., Sinha, A., Morawski, M., Viapiano, M. S., & Matthews, R. T. (2019) · Journal of Biological Chemistry · doi:10.1074/jbc.ra119.010830 · Cited by 32
Self-citationThe protein tyrosine phosphatase RPTPζ/phosphacan is critical for perineuronal net structure
Eill, G. J., Sinha, A., Morawski, M., Viapiano, M. S., & Matthews, R. T. (2020) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)49907-8 · Cited by 32
Self-citationChen, C., Bajnath, A., & Brumberg, J. C. (2014) · Cerebral Cortex · doi:10.1093/cercor/bht415 · Cited by 32
Self-citationDevelopment and sensory experience dependent regulation of microglia in barrel cortex
Kalambogias, J., Chen, C., Khan, S., Son, T., Wercberger, R., Headlam, C., Lin, C., & Brumberg, J. C. (2019) · The Journal of Comparative Neurology · doi:10.1002/cne.24771 · Cited by 32
Self-citationMorita, S., Oohira, A., & Miyata, S. (2010) · Neuroscience · doi:10.1016/j.neuroscience.2010.01.041 · Cited by 31
Saito, M., Smiley, J. F., Hui, M., Masiello, K., Betz, J., Ilina, M., Saito, M., & Wilson, D. A. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy034 · Cited by 32
DACS, novel matrix structure composed of chondroitin sulfate proteoglycan in the brain
Hayashi, N., Tatsumi, K., Okuda, H., Yoshikawa, M., Ishizaka, S., Miyata, S., Manabe, T., & Wanaka, A. (2007) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2007.10.040 · Cited by 30
Transcriptional maturation of the mouse auditory forebrain
Hackett, T. A., Guo, Y. P., Clause, A. R., Hackett, N., Garbett, K. A., Zhang, P., Polley, D. B., & Mirnics, K. (2015) · BMC Genomics · doi:10.1186/s12864-015-1709-8 · Cited by 30
The emerging role of the chondroitin sulfate proteoglycan family in neurodegenerative diseases
Lin, J., Duan, M.-R., Lin, N., & Zhao, W. (2021) · Reviews in the Neurosciences · doi:10.1515/revneuro-2020-0146 · Cited by 30
Bucher, E., Collins, J. M., King, A. E., Vickers, J. C., & Kirkcaldie, M. (2021) · Brain Structure and Function · doi:10.1007/s00429-021-02327-3 · Cited by 31
Yang, X. (2020) · Reviews in the Neurosciences · doi:10.1515/revneuro-2019-0117 · Cited by 31
Recent Advances in the Genetics of Vocal Learning
Condro, M. C., & White, S. A. (2014) · Comparative Cognition & Behavior Reviews · doi:10.3819/ccbr.2014.90003 · Cited by 27
Cornez, G., ter Haar, S. M., Cornil, C. A., & Balthazart, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0123199 · Cited by 28
Mueller, A. L., Davis, A., Sovich, S., Carlson, S. S., & Robinson, F. R. (2016) · Neural Plasticity · doi:10.1155/2016/6021428 · Cited by 29
Perineuronal net, CSPG receptor and their regulation of neural plasticity.
Miao, Q., Ye, Q., & Zhang, X.-H. (2014) · PubMed · Cited by 27
Molecular mechanisms of experience‐dependent maturation in cortical GABA ergic inhibition
Begum, M., & Sng, J. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14103 · Cited by 27
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2018) · IBRO Reports · doi:10.1016/j.ibror.2018.11.006 · Cited by 26
Quantitative changes in perineuronal nets in development and posttraumatic condition
Lipachev, N., Arnst, N., Melnikova, A. A., Jäälinoja, H. T., Kochneva, A., Zhigalov, A., Kulesskaya, N., Aganov, A. V., Олегович, М. М., Rauvala, H., et al. (2019) · Journal of Molecular Histology · doi:10.1007/s10735-019-09818-y · Cited by 26
Distribution and development of molecularly distinct perineuronal nets in visual thalamus
Sabbagh, U., Monavarfeshani, A., Su, K., Zabet‐Moghaddam, M., Cole, J., Carnival, E., Su, J., Mirzaei, M., Gupta, V., Salekdeh, G. H., et al. (2018) · Journal of Neurochemistry · doi:10.1111/jnc.14614 · Cited by 26
Chemistry and Function of Glycosaminoglycans in the Nervous System
Schwartz, N. B., & Domowicz, M. S. (2014) · Advances in Neurobiology · doi:10.1007/978-1-4939-1154-7_5 · Cited by 25
Blosa, M., Bursch, C., Weigel, S., Holzer, M., Jäger, C., Janke, C., Matthews, R. T., Arendt, T., & Morawski, M. (2015) · Neural Plasticity · doi:10.1155/2016/2828536 · Cited by 27
Self-citationCornez, G., Shevchouk, O. T., Ghorbanpoor, S., Ball, G. F., Cornil, C. A., & Balthazart, J. (2019) · Hormones and Behavior · doi:10.1016/j.yhbeh.2019.104643 · Cited by 25
Glial regulation of critical period plasticity
Starkey, J., Horstick, E. J., & Ackerman, S. D. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1247335 · Cited by 31
Beller, J. A., Kulengowski, B., Kobraei, E. M., Curinga, G., Calulot, C. M., Bahrami, A., Hering, T. M., & Snow, D. M. (2013) · Experimental Neurology · doi:10.1016/j.expneurol.2013.02.012 · Cited by 24
A Composite Sketch of Fast-Spiking Parvalbumin-Positive Neurons
Bartholomé, O., Bonardeaux, O. D. L. B., Neirinckx, V., & Rogister, B. (2020) · Cerebral Cortex Communications · doi:10.1093/texcom/tgaa026 · Cited by 23
Sexually dimorphic perineuronal net expression in the songbird
Meyer, C., Boroda, E., & Nick, T. A. (2013) · Basal Ganglia · doi:10.1016/j.baga.2013.10.002 · Cited by 22
The Extracellular Matrix in the Nervous System: The Good and the Bad Aspects
Vecino, E., & Kwok, J. C. F. (2016) · InTech eBooks · doi:10.5772/62527 · Cited by 26
O’Connor, A. M., Burton, T. J., Mansuri, H., Hand, G. R., Leamey, C. A., & Sawatari, A. (2019) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2019.00090 · Cited by 21
Deák, Á., Bácskai, T., Gaál, B., Rácz, É., & Matesz, K. (2012) · Neuroscience Letters · doi:10.1016/j.neulet.2012.01.076 · Cited by 21
Distribution of perineuronal nets in the human superior olivary complex
Schmidt, E., Wolski, T. P., & Kulesza, R. J. (2010) · Hearing Research · doi:10.1016/j.heares.2010.03.077 · Cited by 21
Dysregulation of auditory neuroplasticity in schizophrenia
Voss, P., Thomas, M. E., Guercio, G. D., & de Villers‐Sidani, E. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.04.025 · Cited by 22
Briones, B. A., Pisano, T. J., Pitcher, M. N., Haye, A. E., Diethorn, E. J., Engel, E. A., Cameron, H. A., & Gould, E. (2021) · Hippocampus · doi:10.1002/hipo.23296 · Cited by 20
Baruchin, L. J., Ghezzi, F., Kohl, M. M., & Butt, S. J. B. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab363 · Cited by 20
A sensitive period for the development of episodic-like memory in mice
Ramsaran, A. I., Ventura, S., Gallucci, J., de Snoo, M. L., Josselyn, S. A., & Frankland, P. W. (2024) · Current Biology · doi:10.1016/j.cub.2025.03.032 · Cited by 24
Chen, C., Tam, D., & Brumberg, J. C. (2011) · Brain Structure and Function · doi:10.1007/s00429-011-0342-9 · Cited by 20
Self-citationHorii‐Hayashi, N., Okuda, H., Tatsumi, K., Ishizaka, S., Yoshikawa, M., & Wanaka, A. (2008) · Cell and Tissue Research · doi:10.1007/s00441-008-0698-1 · Cited by 21
Chen, C., & Brumberg, J. C. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.770453 · Cited by 18
Self-citationYellajoshyula, D., Pappas, S. S., & Dauer, W. T. (2022) · Movement Disorders · doi:10.1002/mds.28892 · Cited by 18
Distribution and classification of aggrecan‐based extracellular matrix in the thalamus of the rat
Gáti, G., Morawski, M., Lendvai, D., Jäger, C., Négyessy, L., Arendt, T., & Alpár, A. (2010) · Journal of Neuroscience Research · doi:10.1002/jnr.22493 · Cited by 18
Li, P., & Huntsman, M. M. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.01.033 · Cited by 20
Gáti, G., Morawski, M., Lendvai, D., Matthews, R. T., Jäger, C., Zachar, G., Arendt, T., & Alpár, A. (2010) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2010.07.002 · Cited by 18
Self-citationHazlett, M. F., Hall, V. L., Patel, E. M., Halvorsen, A. T., Calakos, N., & West, A. E. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.02.003 · Cited by 18
Ueno, H., Fujii, K., Takao, K., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.12.008 · Cited by 18
Ueno, H., Shimada, A., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Takahashi, Y., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2020) · IBRO Reports · doi:10.1016/j.ibror.2020.07.007 · Cited by 19
Negwer, M., Piera, K., Hesen, R., Lütje, L., Aarts, L., Schubert, D., & Kasri, N. N. (2020) · Brain Structure and Function · doi:10.1007/s00429-020-02149-9 · Cited by 15
Grycz, K., Głowacka, A., Ji, B., Krzywdzińska, K., Charzyńska, A., Czarkowska‐Bauch, J., Gajewska‐Woźniak, O., & Skup, M. (2022) · Experimental Neurology · doi:10.1016/j.expneurol.2022.114098 · Cited by 16
Chemistry and Function of Glycosaminoglycans in the Nervous System
Schwartz, N. B., & Domowicz, M. S. (2022) · Advances in neurobiology · doi:10.1007/978-3-031-12390-0_5 · Cited by 17
Yamada, J., Ohgomori, T., & Jinno, S. (2017) · The Journal of Comparative Neurology · doi:10.1002/cne.24198 · Cited by 17
Reinhard, S. M., Abundez-Toledo, M., Espinoza, K., & Razak, K. A. (2019) · Hearing Research · doi:10.1016/j.heares.2019.107781 · Cited by 15
Matsuyama, A., Kalargyrou, A. A., Smith, A. J., Ali, R. R., & Pearson, R. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-11204-w · Cited by 15
Woo, A. M., & Sontheimer, H. W. (2023) · Frontiers in Molecular Medicine · doi:10.3389/fmmed.2023.1198021 · Cited by 17
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Kwok, J. C. F., Heller, J. P., Zhao, R., & Fawcett, J. W. (2014) · Methods in molecular biology · doi:10.1007/978-1-4939-0777-9_10 · Cited by 16
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Takahashi, Y., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2019) · Neural Plasticity · doi:10.1155/2019/8924634 · Cited by 16
Giasafaki, C., Grant, E., Hoerder‐Suabedissen, A., Hayashi, S., Lee, S., & Molnár, Z. (2022) · The Journal of Comparative Neurology · doi:10.1002/cne.25304 · Cited by 14
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Arnst, N., Kuznetsova, S., Lipachev, N., Shaikhutdinov, N., Melnikova, A., Олегович, М. М., Uvarov, P., Baltina, T., Rauvala, H., Osin, Y. N., et al. (2016) · Brain Research · doi:10.1016/j.brainres.2016.07.020 · Cited by 15
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de Jong, J. M., Broekaart, D. W. M., Bongaarts, A., Mühlebner, A., Mills, J. D., van Vliet, E. A., & Aronica, E. (2022) · Biomedicines · doi:10.3390/biomedicines10102475 · Cited by 15
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Palmisano, A., Pandit, S., Smeralda, C. L., Demchenko, I., Rossi, S., Battelli, L., Rivolta, D., Bhat, V., & Santarnecchi, E. (2024) · Life · doi:10.3390/life14050578 · Cited by 17
Mascio, G., Bucci, D., Notartomaso, S., Liberatore, F., Antenucci, N., Scarselli, P., Imbriglio, T., Caruso, S., Gradini, R., Cannella, M., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01210-3 · Cited by 14
Refinement but Not Maintenance of Visual Receptive Fields Is Independent of Visual Experience
Balmer, T. S., & Pallas, S. L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht281 · Cited by 14
Reactivity of anti-HNK-1 antibodies to branched O-mannose glycans associated with demyelination
Sakuda, K., Kizuka, Y., Yamaguchi, Y., Tanaka, K., Ogiwara, K., Segawa, T., Hagiwara, Y., Matsuo, I., Ogawa, H. K., Taniguchi, N., et al. (2017) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2017.04.085 · Cited by 14
Popelář, J., GÓMEZ, M. D., Lindovský, J., Rybalko, N., Burianova, J. S., Oohashi, T., & Syka, J. (2017) · Physiological Research · doi:10.33549/physiolres.933605 · Cited by 14
Maheu, M., & Ressler, K. J. (2017) · Learning & Memory · doi:10.1101/lm.044271.116 · Cited by 17
Hyaluronic acid is present on specific perineuronal nets in the mouse cerebral cortex
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Matsumoto, Y., Aoki, S., Okamoto, M., & Ishihara, T. (2018) · Brain Research · doi:10.1016/j.brainres.2018.08.011 · Cited by 12
Bahia, C. P., Houzel, J., Diniz, C. W. P., & Pereira, A. (2008) · The Journal of Comparative Neurology · doi:10.1002/cne.21781 · Cited by 13
Stryker, C. C., Camperchioli, D., Mayer, C. A., Alilain, W. J., Martin, R. J., & MacFarlane, P. M. (2017) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00199.2017 · Cited by 13
Kecskés, S., Gaál, B., Rácz, É., Birinyi, A., Hunyadi, A., & Matesz, C. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.09.080 · Cited by 12
Noise exposure alters MMP9 and brevican expression in the rat primary auditory cortex
Park, S.-S., Lee, D.-H., Lee, S. M., Lee, C. H., & Kim, S. Y. (2020) · BMC Neuroscience · doi:10.1186/s12868-020-00567-3 · Cited by 13
Ueno, H., Suemitsu, S., Murakami, S., Kitamura, N., Wani, K., Takahashi, Y., Matsumoto, Y., Okamoto, M., & Ishihara, T. (2020) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2020.07.019 · Cited by 11
Aronitz, E. M., Kamermans, B. A., & Duffy, K. R. (2021) · The Journal of Comparative Neurology · doi:10.1002/cne.25127 · Cited by 11
Maulik, M., Looschen, K., Smith, C., Johnson, K., Carman, A. F., Nagisetty, C., Corriveau, K., Salisbury, C., DeSchepper, K. M., Michels, M., et al. (2023) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2023.173620 · Cited by 9
Weinrich, L., Sonntag, M., Arendt, T., & Morawski, M. (2018) · Hearing Research · doi:10.1016/j.heares.2018.07.005 · Cited by 9
Sensory deafferentation modulates and redistributes neurocan in the rat auditory brainstem
Heusinger, J., Hildebrandt, H., & Illing, R. (2019) · Brain and Behavior · doi:10.1002/brb3.1353 · Cited by 8
Metadata
- Authors
- McRae, P. A., Rocco, M. M., Kelly, G., Brumberg, J. C., & Matthews, R. T.
- Affiliations
- Yale University (US)
- The Graduate Center, CUNY (US)
- Queens College, CUNY (US)
- SUNY Upstate Medical University (US)
- Corresponding author
- Matthews, Russell T.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-05-16
- Volume
- 27
- Issue
- 20
- Pages
- 5405-5413
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6672348
- OpenAlex
- W1985654472
- Cited by
- 272
- References
- 50
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 8 · 2023: 11 · 2022: 20 · 2021: 18 · 2020: 14 · 2019: 17 · 2018: 18 · 2017: 22 · 2016: 10 · 2015: 20 · 2014: 23 · 2013: 9 · 2012: 14
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CUNY Academic Works (City University of New York) (submittedVersion, cc-by)
- Funders
- American Psychological Association
- National Institute of Neurological Disorders and Stroke (NS 007224-21S1, T32NS007224)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Proteoglycans and glycosaminoglycans research
- Keywords
- perineuronal nets, aggrecan, sensory deprivation, whisker trimming, barrel cortex, parvalbumin, extracellular matrix, activity-dependent synaptic plasticity, critical period, layer 4, proteoglycans
- MeSH terms
- Animals, Animals, Newborn, Cerebral Cortex, Extracellular Matrix, Neuronal Plasticity, Sensory Deprivation, Vibrissae, Gene Expression Regulation, Developmental, Mice, Aggrecans
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