Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
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Krabbe disease (KD) is a neurodegenerative disorder caused by the lack of β- galactosylceramidase enzymatic activity and by widespread accumulation of the cytotoxic galactosyl-sphingosine in neuronal, myelinating and endothelial cells. Despite the wide use of Twitcher mice as experimental model for KD, the ultrastructure of this model is partial and mainly addressing peripheral nerves. More details are requested to elucidate the basis of the motor defects, which are the first to appear during KD onset. Here we use transmission electron microscopy (TEM) to focus on the alterations produced by KD in the lower motor system at postnatal day 15 (P15), a nearly asymptomatic stage, and in the juvenile P30 mouse. We find mild effects on motorneuron soma, severe ones on sciatic nerves and very severe effects on nerve terminals and neuromuscular junctions at P30, with peripheral damage being already detectable at P15. Finally, we find that the gastrocnemius muscle undergoes atrophy and structural changes that are independent of denervation at P15. Our data further characterize the ultrastructural analysis of the KD mouse model, and support recent theories of a dying-back mechanism for neuronal degeneration, which is independent of demyelination.
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Simplified mammalian DNA isolation procedure
Laird, P. W., Zijderveld, A., Linders, K., Rudnicki, M. A., Jaenisch, R., & Berns, A. J. M. (1991) · Nucleic Acids Research · doi:10.1093/nar/19.15.4293 · Cited by 1,497 · see citing works
Pun, S., Santos, A. F., Saxena, S., Xu, L., & Caroni, P. (2006) · Nature Neuroscience · doi:10.1038/nn1653 · Cited by 659 · see citing works
Negative regulation of myelination: Relevance for development, injury, and demyelinating disease
Jessen, K. R., & Mirsky, R. (2008) · Glia · doi:10.1002/glia.20761 · Cited by 515 · see citing works
Motor Neuron Diversity in Development and Disease
Kanning, K. C., Kaplan, A., & Henderson, C. E. (2010) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135722 · Cited by 472 · see citing works
A NEW FAMILIAL, INFANTILE FORM OF DIFFUSE BRAIN-SCLEROSIS
Krabbe, K. H. (1916) · Brain · doi:10.1093/brain/39.1-2.74 · Cited by 309 · see citing works
Biology and pathology of nonmyelinating Schwann cells
Griffin, J. W., & Thompson, W. J. (2008) · Glia · doi:10.1002/glia.20778 · Cited by 293 · see citing works
A role for Schwann cell–derived neuregulin-1 in remyelination
Stassart, R. M., Fledrich, R., Velanac, V., et al. (2012) · Nature Neuroscience · doi:10.1038/nn.3281 · Cited by 291 · see citing works
Autophagy as a new therapeutic target in Duchenne muscular dystrophy
De Palma, C., Morisi, F., Cheli, S., Pambianco, S., Cappello, V, Vezzoli, M., Rovere-Querini, P., Moggio, M., Ripolone, M., Francolini, M., et al. (2012) · Cell Death & Disease · doi:10.1038/cddis.2012.159 · Cited by 269 · see citing works
Self-citationHEREDITARY LEUCODYSTROPHY IN THE MOUSE: THE NEW MUTANT TWITCHER
Duchen, L. W., Eicher, E. M., Jacobs, J. M., Scaravilli, F., & TEIXEIRA, F. (1980) · Brain · doi:10.1093/brain/103.3.695 · Cited by 243 · see citing works
Sakai, N., Inui, K., Tatsumi, N., et al. (1996) · Journal of Neurochemistry · doi:10.1046/j.1471-4159.1996.66031118.x · Cited by 190 · see citing works
White, A. B., Givogri, M. I., Lopez‐Rosas, A., Cao, H., van Breemen, R. B., Thinakaran, G., & Bongarzone, E. R. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5597-08.2009 · Cited by 171 · see citing works
History, genetic, and recent advances on Krabbe disease
Graziano, A. C. E., & Cardile, V. (2014) · Gene · doi:10.1016/j.gene.2014.09.046 · Cited by 143 · see citing works
Pun, S., Sigrist, M., Santos, A. F., Rüegg, M. A., Sanes, J. R., Jessell, T. M., Arber, S., & Caroni, P. (2002) · Neuron · doi:10.1016/s0896-6273(02)00670-0 · Cited by 118 · see citing works
Axonopathy is a compounding factor in the pathogenesis of Krabbe disease
Cantuti‐Castelvetri, L., Givogri, M. I., Zhu, H., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0814-2 · Cited by 100 · see citing works
Torres‐Benito, L., Neher, M. F. M., Cano, R., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0026164 · Cited by 92 · see citing works
The short-time structural plasticity of dendritic spines is altered in a model of Rett syndrome
Landi, S., Putignano, E., Boggio, E. M., Giustetto, M., Pizzorusso, T., & Ratto, G. M. (2011) · Scientific Reports · doi:10.1038/srep00045 · Cited by 91 · see citing works
Self-citationHawkins-Salsbury, J. A., Shea, L. K., Jiang, X., Hunter, D. A., Guzman, A. M., Reddy, A. S., Qin, E. Y., Li, Y., Gray, S. J., Ory, D. S., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4199-14.2015 · Cited by 89 · see citing works
Cantuti‐Castelvetri, L., Givogri, M. I., Hebert, A., Smith, B., Song, Y., Kamińska, A., Lopez‐Rosas, A., Morfini, G. A., Pigino, G. F., Sands, M. S., et al. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0217-13.2013 · Cited by 88 · see citing works
Mitochondria and endoplasmic reticulum crosstalk in amyotrophic lateral sclerosis
Manfredi, G., & Kawamata, H. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.08.004 · Cited by 82 · see citing works
Palma, C. D., Morisi, F., Pambianco, S., Assi, E., Touvier, T., Russo, S., Perrotta, C., Romanello, V., Carnio, S., Cappello, V., et al. (2014) · Skeletal Muscle · doi:10.1186/s13395-014-0022-6 · Cited by 72 · see citing works
Self-citationVoccoli, V., Tonazzini, I., Signore, G., Caleo, M., & Cecchini, M. G. (2014) · Cell Death and Disease · doi:10.1038/cddis.2014.483 · Cited by 70 · see citing works
Self-citationThe twitcher mouse. A model of human globoid cell leukodystrophy (krabbe's disease).
Suzuki, K., & Suzuki, K. (1983) · PubMed · Cited by 62 · see citing works
Teixeira, C. A., Miranda, C. O., Sousa, V., Santos, T. E., Malheiro, A. R., Solomon, M. A., Maegawa, G. H. B., Brites, P., & Sousa, M. M. (2014) · Neurobiology of Disease · doi:10.1016/j.nbd.2014.02.012 · Cited by 62 · see citing works
Ricca, A., Rufo, N., Ungari, S., Morena, F., Martino, S., Kulik, W., Alberizzi, V., Bolino, A., Bianchi, F., Carro, U. D., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddv086 · Cited by 62 · see citing works
The twitcher mouse: accumulation of galactosylsphingosine and pathology of the sciatic nerve
Tanaka, K., Nagara, H., Kobayashi, T., & Goto, I. (1988) · Brain Research · doi:10.1016/0006-8993(88)90835-9 · Cited by 61 · see citing works
Rafi, M. A., Rao, H. Z., Luzi, P., & Wenger, D. A. (2015) · Molecular Therapy · doi:10.1038/mt.2015.145 · Cited by 60 · see citing works
Compston, A. (2013) · Brain · doi:10.1093/brain/awt232 · Cited by 54 · see citing works
Berardi, A., Pannuzzo, G., Graziano, A. C. E., et al. (2014) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2014.05.009 · Cited by 53 · see citing works
Meneghini, V., Lattanzi, A., Tiradani, L., Bravo, G., Morena, F., Sanvito, F., Calabria, A., Bringas, J., Fisher‐Perkins, J. M., Dufour, J., et al. (2016) · EMBO Molecular Medicine · doi:10.15252/emmm.201505850 · Cited by 50 · see citing works
Cantuti‐Castelvetri, L., Zhu, H., Givogri, M. I., et al. (2012) · Neurobiology of Disease · doi:10.1016/j.nbd.2012.01.013 · Cited by 49 · see citing works
Peripheral Neuropathy in the Twitcher Mouse Involves the Activation of Axonal Caspase 3
Smith, B. R., Galbiati, F., Cantuti‐Castelvetri, L., Givogri, M. I., Lopez‐Rosas, A., & Bongarzone, E. R. (2011) · ASN NEURO · doi:10.1042/an20110019 · Cited by 49 · see citing works
The Myelin Mutants as Models to Study Myelin Repair in the Leukodystrophies
Duncan, I. D., Kondo, Y., & Zhang, S. (2011) · Neurotherapeutics · doi:10.1007/s13311-011-0080-y · Cited by 42 · see citing works
Cappello, V., Vezzoli, E., Righi, M., Fossati, M., Mariotti, R., Crespi, A., Patruno, M., Bentivoglio, M., Pietrini, G., & Francolini, M. (2012) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2012.07.003 · Cited by 42 · see citing works
Self-citationShin, D., Feltri, M. L., & Wrabetz, L. G. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3095-15.2016 · Cited by 39 · see citing works
Assembly, plasticity and selective vulnerability to disease of mouse neuromuscular junctions
Santos, A. F., & Caroni, P. (2003) · Journal of Neurocytology · doi:10.1023/b:neur.0000020628.36013.88 · Cited by 36 · see citing works
Inhibition of angiogenesis by β-galactosylceramidase deficiency in globoid cell leukodystrophy
Belleri, M., Ronca, R., Coltrini, D., Nico, B., Ribatti, D., Poliani, P. L., Giacomini, A., Alessi, P., Marchesini, S., Santos, M. B., et al. (2013) · Brain · doi:10.1093/brain/awt215 · Cited by 35 · see citing works
Gomez-Sanchez, J. A., de Armentia, M. L., Luján, R., et al. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.1753-09.2009 · Cited by 34 · see citing works
Mechanism of Neuromuscular Dysfunction in Krabbe Disease
Cantuti‐Castelvetri, L., Maravilla, E. J., Marshall, M., Tamayo, T., D’Auria, L., Monge, J., Jeffries, J., Sural‐Fehr, T., Lopez‐Rosas, A., Li, G., et al. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2431-14.2015 · Cited by 34 · see citing works
The twitcher mouse. An alteration of the unmyelinated fibers in the PNS.
The University of North Carolina at Chapel Hill University Libraries (2020) · PubMed · doi:10.17615/d5zh-7h29 · Cited by 26 · see citing works
Oxidative stress as a therapeutic target in globoid cell leukodystrophy
Hawkins-Salsbury, J. A., Qin, E. Y., Reddy, A. S., Vogler, C. A., & Sands, M. S. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2012.07.013 · Cited by 23 · see citing works
RP‐CARS reveals molecular spatial order anomalies in myelin of an animal model of Krabbe disease
de Vito, G., Cappello, V., Tonazzini, I., et al. (2016) · Journal of Biophotonics · doi:10.1002/jbio.201500305 · Cited by 20 · see citing works
Self-citationMeisingset, T. W., Ricca, A., Neri, M., Sonnewald, U., & Gritti, A. (2013) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2013.64 · Cited by 19 · see citing works
P1148A in fibrillin-1 is not a mutation leading to Shprintzen-Goldberg syndrome
Watanabe, Y., Yano, S., Koga, Y., Yukizane, S., Nishiyori, A., Yoshino, M., Kato, H., Ogata, T., & Adachi, M. (1997) · Human Mutation · doi:10.1002/(sici)1098-1004(1997)10:4 · Cited by 17 · see citing works
Endothelial cell dysfunction in globoid cell leukodystrophy
Belleri, M., & Presta, M. (2016) · Journal of Neuroscience Research · doi:10.1002/jnr.23744 · Cited by 15 · see citing works
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Gaetani, L., Blennow, K., Calabresi, P., Di Filippo, M., Parnetti, L., & Zetterberg, H. (2019) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp-2018-320106 · Cited by 1,334 · see citing works
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Albuquerque, B. R., Heleno, S. A., Oliveira, M. B. P. P., Barros, L., & Ferreira, I. C. F. R. (2021) · Food & Function · doi:10.1039/d0fo02324h · Cited by 716 · see citing works
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Sartorio, M. G., Pardue, E. J., Feldman, M. F., & Haurat, M. F. (2021) · Annual Review of Microbiology · doi:10.1146/annurev-micro-052821-031444 · Cited by 398 · see citing works
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Ryan, D. G., Murphy, M. P., Frezza, C., Prag, H. A., Chouchani, E. T., O’Neill, L. A., & Mills, E. L. (2018) · Nature Metabolism · doi:10.1038/s42255-018-0014-7 · Cited by 398 · see citing works
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Quintard, C., Tubbs, E., Jonsson, G., Jiao, J., Wang, J., Werschler, N., Laporte, C., Pitaval, A., Bah, T.-S., Pomeranz, G., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-45710-4 · Cited by 387 · see citing works
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Raybould, M. I. J., Marks, C., Krawczyk, K., Taddese, B., Nowak, J., Lewis, A. P., Bujotzek, A., Shi, J., & Deane, C. M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1810576116 · Cited by 357 · see citing works
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Li, Q., Zhang, L., Tao, X., & Ding, X. (2017) · Advanced Healthcare Materials · doi:10.1002/adhm.201601371 · Cited by 354 · see citing works
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Shukla, S. D., Budden, K. F., Neal, R., & Hansbro, P. M. (2017) · Clinical & Translational Immunology · doi:10.1038/cti.2017.6 · Cited by 287 · see citing works
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Mishra, A., Humpenöder, F., Churkina, G., Reyer, C. P. O., Beier, F., Bodirsky, B. L., Schellnhuber, H. J., Lotze-Campen, H., & Popp, A. (2022) · Nature Communications · doi:10.1038/s41467-022-32244-w · Cited by 279 · see citing works
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Chen, T., Noto, D., Hoshino, Y., Mizuno, M., & Miyake, S. (2019) · Journal of Neuroinflammation · doi:10.1186/s12974-019-1552-y · Cited by 229 · see citing works
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George, S., Rey, N. L., Tyson, T., Esquibel, C., Meyerdirk, L., Schulz, E., Pierce, S., Burmeister, A. R., Madaj, Z., Steiner, J. A., et al. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0335-3 · Cited by 229 · see citing works
Accelerating antibiotic discovery through artificial intelligence
Melo, M. C. R., Maasch, J. R. M. A., & de la Fuente-Nunez, C. (2021) · Communications Biology · doi:10.1038/s42003-021-02586-0 · Cited by 234 · see citing works
Extracellular Matrix-Based Biomaterials and Their Influence Upon Cell Behavior
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Zadeh-Haghighi, H., & Simon, C. (2022) · Journal of The Royal Society Interface · doi:10.1098/rsif.2022.0325 · Cited by 197 · see citing works
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Amiri, A., Bagherifar, R., Ansari Dezfouli, E., Kiaie, S. H., Jafari, R., & Ramezani, R. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03325-7 · Cited by 186 · see citing works
Pandi, A., Adam, D., Zare, A., Trinh, V. T., Schaefer, S. L., Burt, M., Klabunde, B., Bobkova, E., Kushwaha, M., Foroughijabbari, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42434-9 · Cited by 173 · see citing works
Tukenmez, U., Aktas, B., Aslim, B., & Yavuz, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-44753-8 · Cited by 167 · see citing works
Lanius, R. A., Terpou, B. A., & McKinnon, M. C. (2020) · European Journal of Psychotraumatology · doi:10.1080/20008198.2020.1807703 · Cited by 164 · see citing works
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Valenzuela, P. L., Castillo‐García, A., Morales, J. S., Izquierdo, M., Serra‐Rexach, J. A., Santos‐Lozano, A., & Lucia, A. (2019) · Comprehensive Physiology · doi:10.1002/cphy.c190002 · Cited by 152 · see citing works
Skylar-Scott, M. A., Huang, J. Y., Lu, A., Ng, A. H. M., Duenki, T., Liu, S., Nam, L. L., Damaraju, S., Church, G. M., & Lewis, J. A. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00856-8 · Cited by 160 · see citing works
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Noori, T., Dehpour, A. R., Sureda, A., Sobarzo-Sanchez, E., & Shirooie, S. (2021) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2021.173974 · Cited by 141 · see citing works
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Insel, P. S., Weiner, M., Mackin, R. S., Mormino, E., Lim, Y. Y., Stomrud, E., Palmqvist, S., Masters, C. L., Maruff, P. T., Hansson, O., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000007831 · Cited by 128 · see citing works
TLR2 and TLR4 in Parkinson’s disease pathogenesis: The environment takes a toll on the gut
Gorecki, A. M., Anyaegbu, C. C., & Anderton, R. S. (2021) · Translational Neurodegeneration · doi:10.1186/s40035-021-00271-0 · Cited by 103 · see citing works
Abedi, F., Davaran, S., Hekmati, M., Akbarzadeh, A., Baradaran, B., & Moghaddam, S. V. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-020-00764-6 · Cited by 102 · see citing works
Nijmeijer, B. M., Koopsen, J., Schinkel, J., Prins, M., & Geijtenbeek, T. B. (2019) · Journal of the International AIDS Society · doi:10.1002/jia2.25348 · Cited by 100 · see citing works
Data augmentation for self-paced motor imagery classification with C-LSTM.
Freer, D., & Yang, G.-Z. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/ab57c0 · Cited by 96 · see citing works
Gurav, T. P., Dholakia, B. B., & Giri, A. P. (2022) · Phytochemistry Reviews · doi:10.1007/s11101-021-09767-z · Cited by 87 · see citing works
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Kaissis, G., Ziegelmayer, S., Lohöfer, F., Steiger, K., Algül, H., Muckenhuber, A., Yen, H.-Y., Rummeny, E., Friess, H., Schmid, R., et al. (2019) · PLOS ONE · doi:10.1371/journal.pone.0218642 · Cited by 76 · see citing works
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Surve, S., Shinde, D. B., & Kulkarni, R. (2022) · Scientific Reports · doi:10.1038/s41598-022-05850-3 · Cited by 74 · see citing works
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Norouzi, O., Pourhosseini, S. E. M., Naderi, H. R., Di Maria, F., & Dutta, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-84979-z · Cited by 71 · see citing works
Profiling DNA break sites and transcriptional changes in response to contextual fear learning
Stott, R. T., Kritsky, O., & Tsai, L.-H. (2021) · PLOS ONE · doi:10.1371/journal.pone.0249691 · Cited by 62 · see citing works
The human health benefits from <scp>GM</scp> crops
Smyth, S. J. (2020) · Plant Biotechnology Journal · doi:10.1111/pbi.13261 · Cited by 60 · see citing works
Stability of graph theoretical measures in structural brain networks in Alzheimer’s disease
Mårtensson, G., Pereira, J. B., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Lovestone, S., Simmons, A., Volpe, G., et al. (2018) · Scientific Reports · doi:10.1038/s41598-018-29927-0 · Cited by 60 · see citing works
Community Weight Loss to Combat Obesity and Disability in At-Risk Older Adults
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Rajani, R. M., Ellingford, R., Hellmuth, M., Harris, S. S., Taso, O. S., Graykowski, D., Lam, F. K. W., Arber, C., Fertan, E., Danial, J. S. H., et al. (2024) · PLOS Biology · doi:10.1371/journal.pbio.3002727 · Cited by 57 · see citing works
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Burns, A. M., Farinelli-Scharly, M., Hugues-Ascery, S., Sanchez-Mut, J. V., Santoni, G., & Gräff, J. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116797119 · Cited by 49 · see citing works
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Menon, S., Goldfarb, D., Ho, C. T., Cloer, E. W., Boyer, N. P., Hardie, C., Bock, A. J., Johnson, E. C., Anil, J., Major, M. B., et al. (2021) · Molecular Biology of the Cell · doi:10.1091/mbc.e20-10-0622 · Cited by 46 · see citing works
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Joksas, D., Wang, E., Barmpatsalos, N., Ng, W. H., Kenyon, A. J., Constantinides, G. A., & Mehonic, A. (2022) · Advanced Science · doi:10.1002/advs.202105784 · Cited by 39 · see citing works
Ambeskovic, M., Babenko, O., Ilnytskyy, Y., Kovalchuk, I., Kolb, B., & Metz, G. A. S. (2019) · Scientific Reports · doi:10.1038/s41598-019-42691-z · Cited by 36 · see citing works
Bimpisidis, Z., König, N., Stagkourakis, S., Zell, V., Vlcek, B., Dumas, S., Giros, B., Broberger, C., Hnasko, T. S., & Wallén-Mackenzie, Å. (2019) · eNeuro · doi:10.1523/eneuro.0066-19.2019 · Cited by 36 · see citing works
Ciarrusta, J., O'Muircheartaigh, J., Dimitrova, R., Batalle, D., Cordero-Grande, L., Price, A., Hughes, E., Steinweg, J. K., Kangas, J., Perry, E., et al. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.1868 · Cited by 35 · see citing works
Bizzarri, B. M., Saladino, R., Delfino, I., García-Ruiz, J. M., & Di Mauro, E. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020917 · Cited by 33 · see citing works
Graybuck (2019) · doi:10.1101/525014 · Cited by 31 · see citing works
The emerging role of MicroRNA-182 in tumorigenesis; a promising therapeutic target
Sameti, P., Tohidast, M., Amini, M., Bahojb Mahdavi, S. Z., Najafi, S., & Mokhtarzadeh, A. (2023) · Cancer Cell International · doi:10.1186/s12935-023-02972-0 · Cited by 32 · see citing works
Quinn, J., Salman, A., Paluch, C., Jackson-Wood, M., McClements, M. E., Luo, J., Davis, S. J., Cornall, R. J., MacLaren, R. E., Dendrou, C. A., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-68401-y · Cited by 32 · see citing works
Impulsivity influences betting under stress in laboratory gambling
Canale, N., Rubaltelli, E., Vieno, A., Pittarello, A., & Billieux, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-10745-9 · Cited by 26 · see citing works
Torsvik, A., Brattbakk, H.-R., Trentani, A., Holdhus, R., Stansberg, C., Bartz-Johannessen, C. A., Hughes, T., Steen, N. E., Melle, I., Djurovic, S., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02442-1 · Cited by 21 · see citing works
Identifying carbohydrate-active enzymes of Cutaneotrichosporon oleaginosus using systems biology
Fuchs, T., Melcher, F., Rerop, Z. S., Lorenzen, J., Shaigani, P., Awad, D., Haack, M., Prem, S. A., Masri, M., Mehlmer, N., et al. (2021) · Microbial Cell Factories · doi:10.1186/s12934-021-01692-2 · Cited by 22 · see citing works
Nilkhet, S., Mongkolpobsin, K., Sillapachaiyaporn, C., Wongsirojkul, N., Tencomnao, T., & Chuchawankul, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-58208-2 · Cited by 21 · see citing works
Yang, J., Hirai, Y., Imamura, S., Tsuchiya, T., Tabata, O., & Kamei, K.-I. (2022) · doi:10.1101/2022.01.31.478467 · Cited by 21 · see citing works
Probability-based preservational variations within the early Cambrian Chengjiang biota (China)
Saleh, F., Ma, X., Guenser, P., Mángano, M. G., Buatois, L. A., & Antcliffe, J. B. (2022) · PeerJ · doi:10.7717/peerj.13869 · Cited by 20 · see citing works
“…Briggs & Kear, Saleh et al. (2022), PeerJ, DOI 10.7717/peerj.13869 7/17 1993b; Briggs & Kear, 1994; Sansom, Gabbott & Purnell, 2010; Sansom, Gabbott & Purnell, 2011; Sansom, 2014; Sansom, 2016; Murdock et al., 2014; Butler et al., 2015; Klompmaker, Portell & Frick, 2017;Hancy & Antcliffe, 2020).”
BackgroundInfluentialNon-equilibrium fractal growth of MoS <sub>2</sub> for electrocatalytic hydrogen evolution
Park, T., Bae, C., Lee, H., Leem, M., Kim, H., Ahn, W., Kim, J., Lee, E., Shin, H., & Kim, H. (2019) · CrystEngComm · doi:10.1039/c8ce01952e · Cited by 15 · see citing works
Zhao, Y., Bijlsma, E. Y., ter Heegde, F., Verdouw, M. P., Garssen, J., Newman-Tancredi, A., & Groenink, L. (2019) · Psychopharmacology · doi:10.1007/s00213-018-5124-0 · Cited by 12 · see citing works
Jaemthaworn, T., Kalapanulak, S., & Saithong, T. (2021) · Scientific Reports · doi:10.1038/s41598-021-86806-x · Cited by 7 · see citing works
Severe traumatic injury is associated with profound changes in DNA methylation
Eskesen, T. O., Almstrup, K., Elgaard, L., Arleth, T., Lassen, M. L., Creutzburg, A., Jensen, A. H., Breindahl, N., Dinesen, F., Vang, M., et al. (2024) · npj Genomic Medicine · doi:10.1038/s41525-024-00438-4 · Cited by 7 · see citing works
Conformational dynamics of the bacterial E3 ligase SspH1
Kennedy, C. R., Esposito, D., Huber, J., House, D., & Rittinger, K. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110671 · Cited by 1 · see citing works
- Authors
- Cappello, V., Marchetti, L., Parlanti, P., Landi, S., Tonazzini, I., Cecchini, M., Piazza, V., & Gemmi, M.
- Affiliations
- Italian Institute of Technology (IT)
- Scuola Normale Superiore (IT)
- Istituto Nanoscienze (IT)
- Corresponding author
- Cappello, Valentina
- ORCID
- Venue
- Scientific Reports
- Published
- 2016-12-05
- Volume
- 6
- Issue
- 1
- Pages
- 1-1
- ISSN
- 2045-2322 (ISSN-L)
- PMC
- PMC5431369
- OpenAlex
- W2549976854
- Cited by
- 13,097
- References
- 44
- Citations by year
- 2026: 111 · 2025: 728 · 2024: 1065 · 2023: 1985 · 2022: 2515 · 2021: 2867 · 2020: 1636 · 2019: 968 · 2018: 712 · 2017: 424 · 2016: 80 · 2012: 1
- FWCI
- 585.43
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Scientific Reports (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Scuola Normale Superiore di Pisa (submittedVersion, cc-by)
- Topics
- Health Sciences › Medicine › Physiology › Lysosomal Storage Disorders Research
- Health Sciences › Medicine › Rheumatology › Glycogen Storage Diseases and Myoclonus
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Hereditary Neurological Disorders
- Keywords
- Krabbe disease, neuromuscular junction, dying-back degeneration, galactosylceramidase deficiency, galactosylsphingosine, motor defects, postnatal development
- MeSH terms
- Animals, Disease Models, Animal, Leukodystrophy, Globoid Cell, Male, Mice, Inbred C57BL, Motor Neurons, Muscular Atrophy, Nerve Degeneration, Neuromuscular Junction, Sciatic Nerve, Muscle, Skeletal, Microscopy, Electron, Transmission
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.
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