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U1 small nuclear ribonucleoprotein complex and RNA splicing alterations in Alzheimer’s disease
Open accessAbstract
Deposition of insoluble protein aggregates is a hallmark of neurodegenerative diseases. The universal presence of β-amyloid and tau in Alzheimer’s disease (AD) has facilitated advancement of the amyloid cascade and tau hypotheses that have dominated AD pathogenesis research and therapeutic development. However, the underlying etiology of the disease remains to be fully elucidated. Here we report a comprehensive study of the human brain-insoluble proteome in AD by mass spectrometry. We identify 4,216 proteins, among which 36 proteins accumulate in the disease, including U1-70K and other U1 small nuclear ribonucleoprotein (U1 snRNP) spliceosome components. Similar accumulations in mild cognitive impairment cases indicate that spliceosome changes occur in early stages of AD. Multiple U1 snRNP subunits form cytoplasmic tangle-like structures in AD but not in other examined neurodegenerative disorders, including Parkinson disease and frontotemporal lobar degeneration. Comparison of RNA from AD and control brains reveals dysregulated RNA processing with accumulation of unspliced RNA species in AD, including myc box-dependent-interacting protein 1, clusterin, and presenilin-1 . U1-70K knockdown or antisense oligonucleotide inhibition of U1 snRNP increases the protein level of amyloid precursor protein. Thus, our results demonstrate unique U1 snRNP pathology and implicate abnormal RNA splicing in AD pathogenesis.
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“Tau-RBP interactions disrupt RNA splicing resulting in gene dysregulation and neurotoxicity (Apicco et al., 2018; Bai et al., 2013; Hsieh et al., 2019).”
From Selective removal of astrocytic APOE4 strongly protects against tau-mediated neurodegeneration and decreases synaptic phagocytosis by microglia (2021) · cites this paper as Bai et al., 2013
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In the citing paper
“We performed a comprehensive analysis of the aggregated proteome, detecting the deposition of U1 small nuclear ribonucleoprotein (U1 snRNP) and a deficit of RNA splicing in AD brain (Bai et al., 2013; Lutz and Peng, 2018).”
From Deep Multilayer Brain Proteomics Identifies Molecular Networks in Alzheimer’s Disease Progression (2020) · cites this paper as Bai et al., 2013
In the citing paper
“We and others have previously identified RNA splicing deficits in AD brain which could have profound impact on transcription of many genes, including tau, APP, and presenilins (Bai et al., 2013; Tollervey et al., 2011).”
From A Multi-network Approach Identifies Protein-Specific Co-expression in Asymptomatic and Symptomatic Alzheimer’s Disease (2017) · cites this paper as Bai et al., 2013
In the citing paper
“These ribonucleoproteins, constituents of the spliceosome complex responsible for RNA processing, are mislocalized in AD to the cytoplasm of neuronal cell bodies where they aggregate with NFTs and contribute to widespread alterations in RNA processing [134].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [134]
In the citing paper
“this aggregation of U1 snRNPs with tau appears to be unique to the AD brain and absent among other primary tauopathies, such as FTLD [134, 138].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [134]
In the citing paper
“previous analyses of the AD brain detergent-insoluble proteome, which have repeatedly demonstrated the association of U1 small nuclear ribonucleoproteins (U1 snRNPs) and other RNA-binding proteins with tau tangles [133–137].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [134]
In the citing paper
“Interestingly, our previous studies demonstrated that many of the U1 snRNPs colocalize with neurofibrillary tangles and paired helical filaments in AD brain [24, 32–34], and that accumulation of insoluble snRNPs correlates strongly with both amyloid and Tau pathology [32–37].”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [24]
In the citing paper
“We have previously shown that U1 snRNPs are a major component of the AD insoluble proteome [24, 32–34].”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [24]
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“Although we have previously observed that snRNP alterations are associated with deficits in RNA splicing in AD brain [24, 32]—a finding recently confirmed by others [52]”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [24]
In the citing paper
“This may be due to the fact that U1 spliceosome proteins undergo a dramatic shift in solubility in AD brain, and aggregate in close proximity to neurofibrillary tangles [24, 32–34].”
From Deep proteomic network analysis of Alzheimer’s disease brain reveals alterations in RNA binding proteins and RNA splicing associated with disease (2018) · cites this paper as [24]
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Citations
Cites
The Amyloid Hypothesis of Alzheimer’s Disease: Progress and Problems on the Road to Therapeutics
Hardy, J., & Selkoe, D. J. (2002) · Science · doi:10.1126/science.1072994 · Cited by 13,864
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Amyloid oligomers exacerbate tau pathology in a mouse model of tauopathy
Selenica, M.-L. B., Brownlow, M., Jimenez, J. P., Lee, D. C., Pena, G., Dickey, C. A., Gordon, M. N., & Morgan, D. (2013) · Neurodegenerative Diseases · doi:10.1159/000337230 · Cited by 10,359
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Spillantini, M. G., Schmidt, M. L., Lee, V. M.-Y., Trojanowski, J. Q., Jakes, R., & Goedert, M. (1997) · Nature · doi:10.1038/42166 · Cited by 8,382
Mutation in the α-Synuclein Gene Identified in Families with Parkinson's Disease
Polymeropoulos, M. H., Lavedan, C., Leroy, E., Ide, S. E., Dehejia, A., Dutra, A., Pike, B., Root, H., Rubenstein, J., Boyer, R., et al. (1997) · Science · doi:10.1126/science.276.5321.2045 · Cited by 8,240
Ubiquitinated TDP-43 in Frontotemporal Lobar Degeneration and Amyotrophic Lateral Sclerosis
Neumann, M., Sampathu, D. M., Kwong, L. K., Truax, A. C., Micsenyi, M. C., Chou, T. T., Bruce, J., Schuck, T., Grossman, M., Clark, C. M., et al. (2006) · Science · doi:10.1126/science.1134108 · Cited by 6,576
Mitochondrial Dysfunction and Oxidative Stress in Neurodegenerative Diseases
Lin, M. T., & Beal, M. F. (2006) · Nature · doi:10.1038/nature05292 · Cited by 6,455
Glenner, G. G., & Wong, C. W. (1984) · Biochemical and Biophysical Research Communications · doi:10.1016/s0006-291x(84)80190-4 · Cited by 5,404
Mirra, S. S., Heyman, A., McKeel, D., Sumi, S. M., Crain, B. J., Brownlee, L. M., Vogel, F. S., Hughes, J. P., Belle, G. V., Berg, L., et al. (1991) · Neurology · doi:10.1212/wnl.41.4.479 · Cited by 4,961
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Karri, V., Schuhmacher, M., & Kumar, V. (2020) · Food and Chemical Toxicology · doi:10.1016/j.fct.2020.111257 · Cited by 46
Visualizing the microtubule-associated protein tau in the nucleus
Lu, J. N., Li, T., He, R., Bartlett, P. F., & Götz, J. (2014) · Science China Life Sciences · doi:10.1007/s11427-014-4635-0 · Cited by 43
Castrillo, J. I., Lista, S., Hampel, H. J., & Ritchie, C. W. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7704-8_3 · Cited by 44
Koren, S. A., Galvis-Escobar, S., & Abisambra, J. F. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104939 · Cited by 49
Alzheimer’s as a Systems-Level Disease Involving the Interplay of Multiple Cellular Networks
Castrillo, J. I., & Oliver, S. G. (2016) · Methods in Molecular Biology · doi:10.1007/978-1-4939-2627-5_1 · Cited by 44
Yarbro, J. M., Han, X., Dasgupta, A., Yang, K., Liu, D., Shrestha, H. K., Zaman, M., Wang, Z., Yu, K., Lee, D. G., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-56853-3 · Cited by 41
Self-citationMetaxas, A., Thygesen, C., Kempf, S. J., Anzalone, M., Vaitheeswaran, R., Petersen, S., Landau, A. M., Audrain, H., Teeling, J. L., Darvesh, S., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-52357-5 · Cited by 39
Li, H., Funk, C. C., McFarland, K. N., Dammer, E. B., Allen, M., Carrasquillo, M. M., Levites, Y., Chakrabarty, P., Burgess, J. D., Wang, X., et al. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12254 · Cited by 42
Self-citationYarbro, J. M., Shrestha, H. K., Wang, Z., Zhang, X., Zaman, M., Chu, M., Wang, X., Yu, G., & Peng, J. (2025) · Molecular Neurodegeneration · doi:10.1186/s13024-025-00874-5 · Cited by 43
Self-citationYu, K., Wang, Z., Wu, Z., Tan, H., Mishra, A., & Peng, J. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1024-4_15 · Cited by 39
Self-citationIntegrated Approaches for Analyzing U1-70K Cleavage in Alzheimer’s Disease
Bai, B., Chen, P., Hales, C. M., Wu, Z., Pagala, V., High, A. A., Levey, A. I., Lah, J. J., & Peng, J. (2014) · Journal of Proteome Research · doi:10.1021/pr5003593 · Cited by 37
Self-citationPiras, I. S., Krate, J., Delvaux, E., Nolz, J., Both, M. D. D., Mastroeni, D., Serrano, G. E., Sue, L. I., Beach, T. G., Coleman, P. D., et al. (2019) · Brain Research · doi:10.1016/j.brainres.2019.06.004 · Cited by 36
Zhou, X., Lee, Y.-K., Li, X., Kim, H., Sánchez-Priego, C., Han, X., Tan, H., Zhou, S., Fu, Y., Purtell, K., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-47440-z · Cited by 38
Self-citationVazquez‐Arango, P., Vowles, J., Browne, C., Hartfield, E. M., Fernandes, H. J. R., Mandefro, B., Sareen, D., James, W., Wade‐Martins, R., Cowley, S. A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw711 · Cited by 38
Chen, M., Zhang, K., Gao, B., Yang, J., Tian, Y., Das, D., Fan, T. T., Dai, L., Hao, G., Yang, G., et al. (2020) · The Plant Journal · doi:10.1111/tpj.14735 · Cited by 37
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Sun, X., Sun, H., Han, X., Chen, P., Jiao, Y., Wu, Z., Zhang, X., Wang, Z., Niu, M., Yu, K., et al. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c05212 · Cited by 37
Self-citationWang, Z.-H., Liu, P., Liu, X., Yu, S. P., Wang, J., & Ye, K. (2018) · The Journal of Experimental Medicine · doi:10.1084/jem.20180539 · Cited by 36
Sathe, G. J., Mangalaparthi, K. K., Jain, A., Darrow, J. A., Troncoso, J. C., Albert, M., Moghekar, A., & Pandey, A. (2020) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2019.0191 · Cited by 34
Deep Profiling of Microgram-Scale Proteome by Tandem Mass Tag Mass Spectrometry
Liu, D., Yang, S., Kavdia, K., Sifford, J. M., Wu, Z., Xie, B., Wang, Z., Pagala, V., Wang, H., Yu, K., et al. (2020) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00426 · Cited by 34
Self-citationDey, K. K., Bharti, R., Dey, G., Pal, I., Rajesh, Y., Chavan, S., Das, S., Das, C. K., Jena, B. C., Halder, P., et al. (2016) · Cancer Gene Therapy · doi:10.1038/cgt.2016.43 · Cited by 35
Matsuki, H., Mandai, S., Shiwaku, H., Koide, T., Takahashi, N., Yanagi, T., Inaba, S., Ida, S., Fujiki, T., Mori, Y., et al. (2023) · Aging · doi:10.18632/aging.205164 · Cited by 37
Ngian, Z., Tan, Y.-Y., Choo, C., Lin, W., Leow, C., Mah, S.-J., Lai, M. K. P., Chen, C., & Ong, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204179119 · Cited by 35
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Wang, C., Terrigno, M., Li, J., Distler, T., Pandya, N. J., Ebeling, M., Tyanova, S., Hoozemans, J. J. M., Dijkstra, A. A., Fuchs, L., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.05.033 · Cited by 35
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Wu, R., Ye, Y., Dong, D., Zhang, Z., Wang, S., Li, Y., Wright, N., Redding‐Ochoa, J., Chang, K., Xu, S., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.07.025 · Cited by 33
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Wu, C.-I., Vinton, E. A., Pearse, R. V., Heo, K., Aylward, A. J., Hsieh, Y., Bi, Y., Adeleye, S., Fancher, S. B., Duong, D. M., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01454-5 · Cited by 34
Self-citationZaman, M., Fu, Y., Chen, P., Sun, H., Yang, S., Wu, Z., Wang, Z., Poudel, S., Serrano, G. E., Beach, T. G., et al. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100608 · Cited by 29
Self-citationPace, M. C., Xu, G. M., Fromholt, S., Howard, J. C., Crosby, K. W., Giasson, B. I., Lewis, J. M., & Borchelt, D. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1895-y · Cited by 31
Kwak, Y. D., Shaw, T. I., Downing, S. M., Tewari, A., Jin, H., Li, Y., Dumitrache, L. C., Katyal, S., Khodakhah, K., Russell, H. R., et al. (2021) · Science Advances · doi:10.1126/sciadv.abg6363 · Cited by 30
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Li, S., Sidorov, A., Mehta, A. K., Bisignano, A. J., Das, D., Childers, W. S., Schuler, E. E., Jiang, Z., Orlando, T. M., Berland, K. M., et al. (2014) · Biochemistry · doi:10.1021/bi500599a · Cited by 29
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Xie, J., Wu, S., Szadowski, H., Min, S., Yang, Y., Bowman, A. B., Rochet, J., Freeman, J. L., & Yuan, C. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105023 · Cited by 27
Lutz, B. M., & Peng, J. (2018) · Proteomes · doi:10.3390/proteomes6040046 · Cited by 27
Self-citationU1 snRNP Alteration and Neuronal Cell Cycle Reentry in Alzheimer Disease
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Self-citationPetyuk, V., Yu, L., Olson, H. M., Yu, F., Clair, G., Qian, W., Shulman, J. M., & Bennett, D. A. (2021) · Journal of Proteome Research · doi:10.1021/acs.jproteome.0c00747 · Cited by 27
Self-citationPhosphorylation regulates arginine-rich RNA-binding protein solubility and oligomerization
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Cherry, J. D., Zeineddin, A., Dammer, E. B., Webster, J. A., Duong, D. M., Seyfried, N. T., Levey, A. I., Alvarez, V. E., Huber, B. R., Stein, T. D., et al. (2017) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlx100 · Cited by 27
Self-citationPotential Novel Approaches to Understand the Pathogenesis and Treat Alzheimer’s Disease
Drummond, E., Goñi, F., Liu, S., Prelli, F., Scholtzova, H., & Wısnıewskı, T. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-179909 · Cited by 26
Jablonowski, C. M., Quarni, W., Singh, S. V., Tan, H., Bostanthirige, D. H., Jin, H., Fang, J., Chang, T., Finkelstein, D., Cho, J., et al. (2023) · eLife · doi:10.7554/elife.90993 · Cited by 31
Self-citationGene expression profiling reveals U1 snRNA regulates cancer gene expression
Cheng, Z., Sun, Y., Niu, X., Shang, Y., Wu, Z., Shi, J., Gao, S., & Zhang, T. (2017) · Oncotarget · doi:10.18632/oncotarget.22842 · Cited by 26
Self-citationCollagenous Alzheimer amyloid plaque component impacts on the compaction of amyloid-β plaques
Hashimoto, T., Fujii, D., Naka, Y., Kashiwagi‐Hakozaki, M., Matsuo, Y., Matsuura, Y., Wakabayashi, T., & Iwatsubo, T. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-01075-5 · Cited by 27
Guo, Q., Dammer, E. B., Zhou, M., Kundinger, S. R., Gearing, M., Lah, J. J., Levey, A. I., Shulman, J. M., & Seyfried, N. T. (2021) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2021.623659 · Cited by 27
Self-citationHogan, A. L., Grima, N., Fifita, J. A., McCann, E. P., Heng, B., Fat, S. C. M., Wu, S., Maharjan, R. P., Cain, A. K., Henden, L., et al. (2021) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12749 · Cited by 26
Nuzzo, D., Inguglia, L., Walters, J., Picone, P., & Carlo, M. D. (2017) · Journal of Proteome Research · doi:10.1021/acs.jproteome.6b00925 · Cited by 24
Bykova, M., Hou, Y., Eng, C., & Cheng, F. (2022) · Human Molecular Genetics · doi:10.1093/hmg/ddac208 · Cited by 24
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Foord, C., Prjibelski, A. D., Hu, W., Michielsen, L., Vandelli, A., Narykov, O., Evans, B., Hsu, J., Belchikov, N., Jarroux, J., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-63301-9 · Cited by 23
Ferreira, E., Shaw, D. M., & Oddo, S. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.114 · Cited by 21
Cheng, Z., Shang, Y., Gao, S., & Zhang, T. (2017) · Journal of Neurogenetics · doi:10.1080/01677063.2017.1395425 · Cited by 23
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Freitas, A., Aroso, M., Rocha, S., Ferreira, R. M., Vitorino, R. M. P., & Gómez-Lázaro, M. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15316 · Cited by 21
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Lu, H., Wang, B., Liu, Y., Wang, D., Fields, L. G., Zhang, H., Li, M., Shi, X., Zetterberg, H., & Li, L. (2023) · Analytical Chemistry · doi:10.1021/acs.analchem.2c05731 · Cited by 21
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Khan, A. T., Dobson, R., Sattlecker, M., & Kiddle, S. J. (2016) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.313 · Cited by 21
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Li, T., & Paudel, H. K. (2016) · PLoS ONE · doi:10.1371/journal.pone.0160635 · Cited by 21
Chepyala, S. R., Liu, X., Yang, K., Wu, Z., Breuer, A. M., Cho, J.-H., Li, Y., Mancieri, A., Jiao, Y., Zhang, H., et al. (2021) · Analytical Chemistry · doi:10.1021/acs.analchem.1c02309 · Cited by 18
Self-citationXie, Y., Chen, X., Xu, M., & Zheng, X. (2025) · Biomedicines · doi:10.3390/biomedicines13030681 · Cited by 22
Qin, X., Zeng, J., Lin, P., Mo, W., Li, Q., Feng, Z., Luo, D., Yang, H., Chen, G., & Zeng, J. (2018) · Pathology - Research and Practice · doi:10.1016/j.prp.2018.11.004 · Cited by 19
Tassinari, V., Rosa, P. L., Guida, E., Colopi, A., Caratelli, S., Paolis, F. D., Gallo, A., Cenciarelli, C., Sconocchia, G., Dolci, S., et al. (2023) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2023.111807 · Cited by 19
Mills, J. D., Sheahan, P. J., Lai, D., Kril, J. J., Janitz, M., & Sutherland, G. T. (2014) · Molecular Biology Reports · doi:10.1007/s11033-014-3516-8 · Cited by 17
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Cheng, Z., Du, Z., Shang, Y., Zhang, Y., & Zhang, T. (2017) · Journal of Molecular Neuroscience · doi:10.1007/s12031-017-0932-y · Cited by 18
High, A. A., Tan, H., Pagala, V., Niu, M., Cho, J.-H., Wang, X., Bai, B., & Peng, J. (2017) · Journal of Visualized Experiments · doi:10.3791/56474 · Cited by 18
Self-citationMariotti, M., Kerepesi, C., Oliveros, W., Melé, M., & Gladyshev, V. N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.14.484341 · Cited by 21
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Shaw, T. I., Zhao, B., Li, Y., Wang, H., Wang, L., Manley, B. J., Stewart, P. A., & Karolak, A. M. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.1051487 · Cited by 16
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Yang, X., Du, W., Zhang, Y., Wang, H., & He, M. (2020) · Dose-Response · doi:10.1177/1559325820972205 · Cited by 16
Yu, K., Niu, M., Wang, H., Li, Y., Wu, Z., Zhang, B., Haroutunian, V. H., & Peng, J. (2021) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00450 · Cited by 16
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Li, Y., Zhou, G., Peng, J., Liu, L., Zhang, F., Iturria‐Medina, Y., Yao, D., Biswal, B. B., & Wang, P. (2025) · Communications Biology · doi:10.1038/s42003-025-08177-7 · Cited by 18
Self-citationSun, H., Zhang, J., Ma, Y., & Liu, J. (2020) · Bioscience Reports · doi:10.1042/bsr20201084 · Cited by 14
Yuan, M., Yu, C., Chen, X., & Wu, Y. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2020.610704 · Cited by 14
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Dey, K. K., Sun, H., Wang, Z., Niu, M., Wang, H., Jiao, Y., Sun, X., Li, Y., & Peng, J. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1936-0_3 · Cited by 14
Self-citationDourado, M., Cardoso-Cruz, H., Monteiro, C., & Galhardo, V. (2016) · Journal of Experimental Neuroscience · doi:10.4137/jen.s36492 · Cited by 14
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Shi, J., Deng, Y., Huang, S., Huang, C., Wang, J., Xiang, A. P., & Yao, C. (2019) · RNA Biology · doi:10.1080/15476286.2019.1636596 · Cited by 14
Vanacore, R., Eskew, J. D., Sung, L. H., Davis, T., & Smith, A. (2019) · BioMetals · doi:10.1007/s10534-019-00194-4 · Cited by 13
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Briese, M., & Sendtner, M. (2021) · BioEssays · doi:10.1002/bies.202100092 · Cited by 13
Pandey, R. S., Kotredes, K. P., Sasner, M., Howell, G. R., & Carter, G. W. (2023) · BMC Genomics · doi:10.1186/s12864-023-09280-x · Cited by 11
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Thygesen, C., Metaxas, A., Larsen, M. R., & Finsen, B. R. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180197 · Cited by 13
Kumar, A., Doan, V. M., Kunkli, B., & Csősz, É. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.633050 · Cited by 12
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Zhang, F., Liu, S., Qiao, Z., Li, L., Yu, H., Sun, J., Ge, C., Zhu, J., Li, D., Yao, H., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113945 · Cited by 12
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Korbolina, E. E., Александровна, Ж. А., Фурсова, А. Ж., Kozhevnikova, O. S., & Kolosova, N. G. (2016) · BMC Genetics · doi:10.1186/s12863-016-0461-7 · Cited by 12
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Drummond, E., & Wısnıewskı, T. (2019) · Codon Publications eBooks · doi:10.15586/alzheimersdisease.2019.ch3 · Cited by 13
Shaw, T. I., Dong, L., Tian, L., Qian, C., Liu, Y., Ju, B., High, A. A., Kavdia, K., Pagala, V., Shaner, B., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-84647-2 · Cited by 13
Self-citation
Metadata
- Authors
- Bai, B., Hales, C. M., Chen, P.-C., Gozal, Y., Dammer, E. B., Fritz, J. J., Wang, X., Xia, Q., Duong, D. M., Street, C., Cantero, G., Cheng, D., Jones, D. R., Wu, Z., Li, Y., Diner, I., Heilman, C. J., Rees, H. D., Wu, H., Lin, L., Szulwach, K. E., Gearing, M., Mufson, E. J., Bennett, D. A., Montine, T. J., Seyfried, N. T., Wingo, T. S., Sun, Y. E., Jin, P., Hanfelt, J., Willcock, D. M., Levey, A., Lah, J. J., & Peng, J.
- Affiliations
- St. Jude Children's Research Hospital (US)
- Emory University (US)
- Departments of Structural Biology and Developmental Neurobiology and
- Human Genetics,
- University of California, Los Angeles (US)
- Biostatistics and Bioinformatics,
- Rush University Medical Center (US)
- University of Washington (US)
- University of Kentucky (US)
- ORCID
- Bai, Bing
- Hales, Chadwick M.
- Chen, Ping-Chung
- Dammer, Eric B.
- Wang, Xusheng
- Xia, Qiangwei
- Duong, Duc M.
- Cantero, Gloria
- Cheng, Dongmei
- Jones, Drew R.
- Wu, Zhiping
- Li, Yuxin
- Wu, Hao
- Gearing, Marla
- Mufson, Elliott J.
- Bennett, David A.
- Montine, Thomas J.
- Seyfried, Nicholas T.
- Wingo, Thomas S.
- Sun, Yi E.
- Jin, Peng
- Hanfelt, John
- Levey, Allan
- Lah, James J.
- Peng, Junmin
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2013-09-10
- Volume
- 110
- Issue
- 41
- Pages
- 16562-16567
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC3799305
- OpenAlex
- W2075426349
- Semantic Scholar
- b4638372c5d5e262f0ad2963dd66aed83aac9d24
- Cited by
- 335
- References
- 58
- Citations by year
- 2026: 20 · 2025: 34 · 2024: 23 · 2023: 29 · 2022: 23 · 2021: 43 · 2020: 29 · 2019: 24 · 2018: 27 · 2017: 24 · 2016: 30 · 2015: 12 · 2014: 17
- FWCI
- 13.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- American Lebanese Syrian Associated Charities
- National Institutes of Health
- Instituto de Salud Carlos III
- National Institute on Aging (P01AG014449, F32AG038259, R01AG015819, P30AG010161, R01AG043375, P50AG005136, P50AG025688)
- National Institute of Mental Health (R01MH082068)
- National Cancer Institute (P30CA021765)
- National Institute of General Medical Sciences (P01GM081621, T32GM008169)
- National Institute of Neurological Disorders and Stroke (T32NS007480, F32NS007480, P30NS055077, F30NS057902)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, U1 snRNP, U1-70K, RNA splicing, spliceosome, protein aggregates, amyloid precursor protein, unspliced RNA, mild cognitive impairment, antisense oligonucleotides, clusterin, presenilin 1, neurodegeneration
- MeSH terms
- Alzheimer Disease, Brain, Chromatography, Liquid, Fluorescent Antibody Technique, Humans, Immunohistochemistry, Blotting, Western, Spliceosomes, Alternative Splicing, Ribonucleoprotein, U1 Small Nuclear, Reverse Transcriptase Polymerase Chain Reaction, Proteome, Proteomics, Tandem Mass Spectrometry, High-Throughput Nucleotide Sequencing
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