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Abnormality of m6A mRNA Methylation Is Involved in Alzheimer’s Disease
Open accessAbstract
Alzheimer's disease (AD), the most common form of dementia, is highly prevalent in older adults. The main clinical feature is the progressive decline of memory function, which eventually leads to the decline of cognitive function. At present, the pathogenesis of AD is unclear. In the disease process, synaptic changes are the key. Recent studies have shown that the dysregulation of RNA methylation is related to many biological processes, including neurodevelopment and neurodegenerative diseases. N6-methyladenosine (m6A) is the most abundant modification in eukaryotic RNA. In this study, RNA m6A methylation was quantified in APP/PS1 transgenic mice, which is an AD mouse model, and C57BL/6 control mice, and data showed that m6A methylation was elevated in the cortex and the hippocampus of APP/PS1 transgenic mice. Next, the alterations of m6A RNA methylation in AD and in C57BL/6 mice were investigated using high-throughput sequencing. Genome-wide maps of m6A mRNA showed that the degrees of m6A methylation were higher in many genes and lower in others in AD mice. Interestingly, the expression of the m6A methyltransferase METTL3 was elevated and that of the m6A demethylase FTO was decreased in AD mice. The data were analyzed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses, and pathways that might be related to synaptic or neuron development and growth were constructed. The related pathways and genes predicted the potential roles of the differentially expressed m6A methylation RNA in AD. Collectively, our findings demonstrate that the m6A methylation of RNA promotes the development of AD.
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“Interestingly, m6A does not appear to accumulate in models of Aβ amyloidosis, which accumulate aggregates extracellularly (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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“Total m6A levels were also reported in a previous manuscript examining m6A in an AD model utilizing over-expression of only APP, which is a model that exhibits Aβ accumulation without corresponding MAPT pathology (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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“Data from this manuscript suggest that the absence of MAPT pathology in this model produced a corresponding absence of m6A accumulation (Han et al., 2020).”
From β-amyloid accumulation enhances microtubule associated protein tau pathology in an APPNL-G-F/MAPTP301S mouse model of Alzheimer’s disease (2024) · cites this paper as Han et al., 2020
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Citations
Cites
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Comprehensive Analysis of mRNA Methylation Reveals Enrichment in 3′ UTRs and near Stop Codons
Meyer, K. D., Saletore, Y., Zumbo, P., Elemento, O., Mason, C. E., & Jaffrey, S. R. (2012) · Cell · doi:10.1016/j.cell.2012.05.003 · Cited by 4,223
N6-Methyladenosine in nuclear RNA is a major substrate of the obesity-associated FTO
Jia, G., Fu, Y., Zhao, X., Dai, Q., Zheng, G., Yang, Y., Yi, C., Lindahl, T., Pan, T., Yang, Y.-G., et al. (2011) · Nature Chemical Biology · doi:10.1038/nchembio.687 · Cited by 4,106
Mutation of the mouse klotho gene leads to a syndrome resembling ageing
Kuro-o, M., Matsumura, Y., Aizawa, H., Kawaguchi, H., Suga, T., Utsugi, T., Ohyama, Y., Kurabayashi, M., Kaname, T., Kume, E., et al. (1997) · Nature · doi:10.1038/36285 · Cited by 3,837
Clinical and biomarker changes in dominantly inherited Alzheimer's disease
Bateman, R. J., Xiong, C., Benzinger, T. L. S., Fagan, A. M., Goate, A., Fox, N. C., Marcus, D. S., Cairns, N. J., Xie, X., Blazey, T. M., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1202753 · Cited by 3,814
A METTL3–METTL14 complex mediates mammalian nuclear RNA N6-adenosine methylation
Liu, J., Yue, Y., Han, D., Wang, X., Fu, Y., Zhang, L., Jia, G., Yu, M., Lu, Z., Deng, X., et al. (2014) · Nature Chemical Biology · doi:10.1038/nchembio.1432 · Cited by 3,433
Vu, L., Pickering, B. F., Cheng, Y., Zaccara, S., Nguyen, D. T. T., Minuesa, G., Chou, T., Chow, A., Saletore, Y., MacKay, M. J., et al. (2017) · Nature Medicine · doi:10.1038/nm.4416 · Cited by 1,249
Dynamic m6A mRNA methylation directs translational control of heat shock response
Zhou, J. L., Wan, J., Gao, X., Zhang, X., Jaffrey, S. R., & Qian, S. (2015) · Nature · doi:10.1038/nature15377 · Cited by 1,228
Zhao, X., Yang, Y., Sun, B.-F., Shi, Y. X., Yang, X., Xiao, W., Hao, Y.-J., Ping, X., Chen, Y., Wang, W., et al. (2014) · Cell Research · doi:10.1038/cr.2014.151 · Cited by 1,201
Neurotoxicity of Amyloid -Protein: Synaptic and Network Dysfunction
Mucke, L., & Selkoe, D. J. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006338 · Cited by 1,000
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Shafik, A. M., Zhang, F., Guo, Z., Dai, Q., Pajdzik, K., Li, Y., Kang, Y., Yao, B., Wu, H., He, C., et al. (2021) · Genome biology · doi:10.1186/s13059-020-02249-z · Cited by 264
mRNA modifications in cardiovascular biology and disease: with a focus on m6A modification
Kumari, R., Ranjan, P., Suleiman, Z. G., Goswami, S. K., Li, J., Prasad, R., & Verma, S. K. (2021) · Cardiovascular Research · doi:10.1093/cvr/cvab160 · Cited by 221
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Chellamuthu, A., & Gray, S. G. (2020) · Cells · doi:10.3390/cells9081758 · Cited by 218
FTO m6A Demethylase in Obesity and Cancer: Implications and Underlying Molecular Mechanisms
Azzam, S. K., AlSafar, H. S., & Sajini, A. A. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23073800 · Cited by 211
The role of m6A modification in physiology and disease
Yang, C., Hu, Y., Zhou, B., Bao, Y., Li, Z., Gong, C., Yang, H., Wang, S., & Xiao, Y. (2020) · Cell Death & Disease · doi:10.1038/s41419-020-03143-z · Cited by 200
Zhao, F., Xu, Y., Gao, S., Qin, L., Austria, Q. M., Siedlak, S. L., Pajdzik, K., Dai, Q., He, C., Wang, W., et al. (2021) · Molecular Neurodegeneration · doi:10.1186/s13024-021-00484-x · Cited by 199
Self-citationMETTL3 counteracts premature aging via m6A-dependent stabilization of MIS12 mRNA
Wu, Z., Shi, Y. X., Lu, M., Song, M., Yu, Z., Wang, J., Wang, S., Ren, J., Yang, Y., Liu, G., et al. (2020) · Nucleic Acids Research · doi:10.1093/nar/gkaa816 · Cited by 190
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Jiang, L., Lin, W., Zhang, C., Ash, P. E. A., Verma, M., Kwan, J., van Vliet, E., Yang, Z., Cruz, A. L., Boudeau, S., et al. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.07.038 · Cited by 177
Altered Expression of the m6A Methyltransferase METTL3 in Alzheimer’s Disease
Huang, H., Camats‐Perna, J., Medeiros, R., Anggono, V., & Widagdo, J. (2020) · eNeuro · doi:10.1523/eneuro.0125-20.2020 · Cited by 164
N6-methyladenosine and Neurological Diseases
Zhang, N., Ding, C., Zuo, Y., Peng, Y., & Zuo, L. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02739-0 · Cited by 160
Methylation across the central dogma in health and diseases: new therapeutic strategies
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Liu, Y., Tan, Y., Zhang, Z., Yi, M., Zhu, L., & Peng, W. (2024) · Translational Neurodegeneration · doi:10.1186/s40035-024-00397-x · Cited by 156
Principles of RNA methylation and their implications for biology and medicine
Zhou, Y., Kong, Y., Fan, W., Tao, T., Xiao, Q., Li, N., & Zhu, X. M. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110731 · Cited by 134
The m6A epitranscriptome on neural development and degeneration
Yen, Y.-P., & Chen, J. (2021) · Journal of Biomedical Science · doi:10.1186/s12929-021-00734-6 · Cited by 104
Epitranscriptomic regulation by m 6 A RNA methylation in brain development and diseases
Chokkalla, A. K., Mehta, S. L., & Vemuganti, R. (2020) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x20960033 · Cited by 93
Castro-Hernández, R., Berulava, T., Metelova, M., Epple, R., Centeno, T. P., Richter, J., Kaurani, L., Pradhan, R., Sakib, M. S., Burkhardt, S., et al. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204933120 · Cited by 88
Lin, K., Zhou, E., Shi, T., Zhang, S., Zhang, J., Zheng, Z., Pan, Y., Gao, W., & Yu, Y. (2023) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-023-02792-0 · Cited by 91
The role of M6A modification in the regulation of tumor-related lncRNAs
Lan, Y., Liu, B., & Guo, H. (2021) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2021.04.002 · Cited by 86
Epigenetics: Roles and therapeutic implications of non-coding RNA modifications in human cancers
Rong, D., Sun, G., Wu, F., Cheng, Y., Sun, G., Jiang, W., Li, X., Zhong, Y., Wu, L., Zhang, C., et al. (2021) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2021.04.021 · Cited by 84
m6A epitranscriptomic regulation of tissue homeostasis during primate aging
Wu, Z., Lu, M., Liu, D., Shi, Y. X., Ren, J., Wang, S., Jing, Y., Zhang, S., Zhao, Q., Li, H., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00393-2 · Cited by 84
Self-citationTargeting epigenetic regulators for inflammation: Mechanisms and intervention therapy
Zhang, S., Meng, Y., Zhou, L., Qiu, L., Wang, H., Su, D., Zhang, B., Chan, K. M., & Han, J. (2022) · MedComm · doi:10.1002/mco2.173 · Cited by 85
Context-Dependent Roles of RNA Modifications in Stress Responses and Diseases
Wilkinson, E., Cui, Y., & He, Y. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22041949 · Cited by 70
RNA Modifications and RNA Metabolism in Neurological Disease Pathogenesis
Chatterjee, B., Shen, C.-K. J., & Majumder, P. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222111870 · Cited by 68
Mathoux, J., Henshall, D. C., & Brennan, G. P. (2021) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2021.671932 · Cited by 69
Yi, D., Wang, Q., Zhao, Y., Yu, S., You, H., Wang, J., Liu, R., Shi, Z., Chen, X., & Luo, Q. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.605654 · Cited by 64
Isorhapontigenin (ISO) inhibits EMT through FOXO3A/METTL14/VIMENTIN pathway in bladder cancer cells
Zhang, N., Hua, X., Tu, H., Li, J., Zhang, Z., & Max, C. (2021) · Cancer Letters · doi:10.1016/j.canlet.2021.07.041 · Cited by 62
Yin, H., Ju, Z., Zheng, M., Zhang, X., Zuo, W., Wang, Y., Ding, X., Zhang, X., Peng, Y., Li, J., et al. (2023) · PLOS Biology · doi:10.1371/journal.pbio.3002017 · Cited by 62
Self-citationChen, Y., Long, T., Chen, J., Wei, H., Meng, J., Kang, M., Wang, J., Zhang, X., Xu, Q., Zhang, C., et al. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001794 · Cited by 64
Chen, X., Wang, J., Tahir, M., Zhang, F., Ran, Y., Liu, Z., & Wang, J. (2021) · Cell & Bioscience · doi:10.1186/s13578-021-00661-x · Cited by 61
Self-citationEmerging Roles of N6-Methyladenosine Modification in Neurodevelopment and Neurodegeneration
Shu, L., Huang, X., Cheng, X., & Li, X. (2021) · Cells · doi:10.3390/cells10102694 · Cited by 59
Zhou, W., Wang, X., Chang, J., Cheng, C., & Miao, C. (2021) · Critical Reviews in Clinical Laboratory Sciences · doi:10.1080/10408363.2021.2002256 · Cited by 58
Pan, Z., Zhang, Q., Liu, X., Zhou, H., Jin, T. Y., Hao, L.-Y., Xie, L., Zhang, M., Yang, X., Sun, M.-L., et al. (2021) · Pain · doi:10.1097/j.pain.0000000000002218 · Cited by 59
Self-citationThe potential role of m6A RNA methylation in diabetic retinopathy.
Kumari, N., Karmakar, A., Khan, M. M. A., & Ganesan, S. K. (2021) · Experimental Eye Research · doi:10.1016/j.exer.2021.108616 · Cited by 50
Chen, R., Wang, P., Xie, J., Tang, Z., Fu, J., Ning, Y., Zhong, Q., Wang, D., Lei, M., Mai, H., et al. (2024) · Journal of Nanobiotechnology · doi:10.1186/s12951-024-02687-y · Cited by 57
Self-citationShen, J., Yang, L., & Wei, W. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113227 · Cited by 56
Targeting m6A modification inhibits herpes virus 1 infection
Feng, Z., Zhou, F., Tan, M., Wang, T., Chen, Y., Xu, W., Li, B., Wang, X., Deng, X., & He, M. (2021) · Genes & Diseases · doi:10.1016/j.gendis.2021.02.004 · Cited by 56
Zhang, F., Ran, Y., Tahir, M., Li, Z., Wang, J., & Chen, X. (2022) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2022.955222 · Cited by 57
Izquierdo, V., Palomera‐Ávalos, V., Pallàs, M., & Griñán‐Ferré, C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22031453 · Cited by 55
Zhu, H., Sun, B., Zhu, L., Zou, G., & Shen, Q. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.642437 · Cited by 54
Wang, X., Xie, J., Tan, L., Lu, Y., Shen, N., Li, J., Hu, H., Li, H., Li, X., & Cheng, L. (2023) · Translational Neurodegeneration · doi:10.1186/s40035-023-00386-6 · Cited by 54
Biological functions of m6A methyltransferases
Gu, J., Zhan, Y., Zhuo, L., Zhang, Q., Li, G., Li, Q., Qi, S., Zhu, J., Lv, Q., Shen, Y., et al. (2021) · Cell & Bioscience · doi:10.1186/s13578-020-00513-0 · Cited by 51
Li, C., Ren, J., Zhang, M., Wang, H., Fang, Y., Wu, J., & Tang, Y. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04536-3 · Cited by 52
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Qi, Z., Zhang, C., Jian, H., Hou, M., Lou, Y., Kang, Y., Wang, W., Lv, Y., Shang, S., Wang, C., et al. (2023) · Cell Death Discovery · doi:10.1038/s41420-023-01458-2 · Cited by 46
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Melatonin: Regulation of Biomolecular Condensates in Neurodegenerative Disorders
Loh, D., & Reiter, R. J. (2021) · Antioxidants · doi:10.3390/antiox10091483 · Cited by 45
Bian, Y., Wang, Y., Xu, S., Gao, Z., Li, C., Fan, Z., Ding, J., & Wang, K. (2022) · Cells · doi:10.3390/cells11193008 · Cited by 42
Self-citationAn Emerging Role of m6A in Memory: A Case for Translational Priming
Leonetti, A. M., Chu, M. Y., Ramnaraign, F. O., Holm, S., & Walters, B. J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21207447 · Cited by 42
Arumugam, T., Ghazi, T., & Chuturgoon, A. A. (2021) · Archives of Toxicology · doi:10.1007/s00204-021-02986-5 · Cited by 41
Predicting RNA 5‐Methylcytosine Sites by Using Essential Sequence Features and Distributions
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Kim, Y. A., Siddiqui, T., Blaze, J., Coşacak, M. İ., Winters, T., Kumar, A., Tein, E., Sproul, A. A., Teich, A. F., Bartolini, F., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02511-7 · Cited by 44
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Kahl, M., Xu, Z., Arumugam, S., Edens, B. M., Fischietti, M., Zhu, A. C., Platanias, L. C., He, C., Zhuang, X., & Ma, Y. C. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae029 · Cited by 41
Lv, J., Xing, L., Zhong, X., Li, K., Liu, M., & Du, K. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114583 · Cited by 41
Qu, M., Zuo, L., Zhang, M., Cheng, P., Guo, Z., Yang, J., Li, C., & Wu, J. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-05909-7 · Cited by 38
N6-methyladenosine (m6A) modification and its clinical relevance in cognitive dysfunctions
Du, B., Zhang, Y., Liang, M., Du, Z., Li, H., Fan, C., Zhang, H., Jiang, Y., & Bi, X. (2021) · Aging · doi:10.18632/aging.203457 · Cited by 38
Su, X., Qu, Y., & Mu, D. (2023) · Biomolecules · doi:10.3390/biom13040664 · Cited by 38
Crosstalk between N6-methyladenosine (m6A) modification and noncoding RNA in tumor microenvironment
Wang, D., Han, Y., Peng, L., Huang, T., He, X., Wang, J., & Ou, C. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.79651 · Cited by 39
Self-citationA mark of disease: how mRNA modifications shape genetic and acquired pathologies
Destefanis, E., Avşar, G., Groza, P., Romitelli, A., Torrini, S., Pir, P., Conticello, S. G., Aguiló, F., & Dassi, E. (2020) · RNA · doi:10.1261/rna.077271.120 · Cited by 38
Shi, X., Cao, Y., Zhang, X., Gu, C., Liang, F., Xue, J., Ni, H., Wang, Z., Li, Y., Wang, X., et al. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.756483 · Cited by 36
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Mitsuhashi, H., & Nagy, C. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24076220 · Cited by 42
Dermentzaki, G., & Lotti, F. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.555372 · Cited by 36
Ye, F., Wang, T., Wu, X., Liang, J., Li, J., & Sheng, W. (2021) · Journal of Translational Medicine · doi:10.1186/s12967-021-02981-5 · Cited by 36
Streptozotocin-induced astrocyte mitochondrial dysfunction is ameliorated by FTO inhibitor MO-I-500
Cockova, Z., Honc, O., Telensky, P., Olsen, M. J., & Novotny, J. (2021) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.1c00063 · Cited by 34
He, B., & Wang, J. (2021) · Aging · doi:10.18632/aging.203604 · Cited by 34
Molecular insights into regulatory RNAs in the cellular machinery
Yang, S., Kim, S.-H., Yang, E.-J., Kang, M., & Joo, J. (2024) · Experimental & Molecular Medicine · doi:10.1038/s12276-024-01239-6 · Cited by 34
The m6A-epitranscriptome in brain plasticity, learning and memory
Widagdo, J., Wong, J. J. L., & Anggono, V. (2021) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2021.05.023 · Cited by 33
m6A RNA Methylation in Systemic Autoimmune Diseases—A New Target for Epigenetic-Based Therapy?
Wardowska, A. (2021) · Pharmaceuticals · doi:10.3390/ph14030218 · Cited by 31
Sokpor, G., Xie, Y., Nguyen, H. P., & Tuoc, T. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.656849 · Cited by 32
A new perspective on Alzheimer’s disease: m6A modification
Xia, L., Zhang, F., Li, Y., Mo, Y., Zhang, L., Li, Q., Luo, M., Hou, X., Du, Z., Deng, J., et al. (2023) · Frontiers in Genetics · doi:10.3389/fgene.2023.1166831 · Cited by 32
RPS: a comprehensive database of RNAs involved in liquid–liquid phase separation
Liu, M., Li, H., Luo, X., Cai, J., Chen, T., Xie, Y., Ren, J. M., & Zuo, Z. (2021) · Nucleic Acids Research · doi:10.1093/nar/gkab986 · Cited by 31
Zhang, J., Xiong, Y.-W., Tan, L., Zheng, X., Zhang, Y., Ling, Q., Zhang, C., Zhu, H.-L., Chang, W., & Wang, H. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131891 · Cited by 32
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Li, X., Ma, B., Zhang, W., Song, Z., Zhang, X., Liao, M., Li, X., Zhao, X., Du, M., Yu, J., et al. (2022) · Genes & Diseases · doi:10.1016/j.gendis.2022.05.008 · Cited by 28
Khan, F. A., Nsengimana, B., Awan, U. A., Ji, X., Ji, S., & Dong, J. (2024) · Cancer Gene Therapy · doi:10.1038/s41417-024-00789-1 · Cited by 28
The role of epigenetic modification in postoperative cognitive dysfunction
Wu, W.-F., Lin, J.-T., Qiu, Y.-K., Dong, W., Wan, J., Li, S., Zheng, H., & Wu, Y.-Q. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101983 · Cited by 28
Deciphering RNA m 6 A regulation in aging: Perspectives on current advances and future directions
Wu, Z., Ren, J., & Liu, G. (2023) · Aging Cell · doi:10.1111/acel.13972 · Cited by 25
Cui, J., Sendinc, E., Liu, Q., Kim, S., Fang, J. Y., & Gregory, R. I. (2024) · Nature Communications · doi:10.1038/s41467-024-50161-y · Cited by 26
Tegowski, M., Prater, A. K., Holley, C. L., & Meyer, K. D. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01768-3 · Cited by 27
Emerging Roles for DNA 6mA and RNA m6A Methylation in Mammalian Genome
Xie, L., Zhang, X., Xie, J., Xu, Y., Li, X., & Li, L. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms241813897 · Cited by 26
Self-citationThe role and regulatory mechanism of m6A methylation in the nervous system
Jiang, L., Li, X., Wang, S., Yuan, Z., & Cheng, J. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.962774 · Cited by 26
Guo, S., Lin, T., Chen, G., Shangguan, Z., Zhou, L., Chen, Z., Shi, T., Chen, D., Wang, Z., & Liu, W. (2023) · Neurospine · doi:10.14245/ns.2346170.085 · Cited by 26
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Chen, Y., Zhou, Z., Chen, Y., & Chen, D. (2024) · Cell & Bioscience · doi:10.1186/s13578-024-01293-7 · Cited by 24
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Qiao, Y., Mei, Y., Xia, M., Luo, D., & Gao, L. (2024) · iScience · doi:10.1016/j.isci.2024.110235 · Cited by 24
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Wang, Q., Liang, Y., Luo, X., Liu, Y., Zhang, X., & Gao, L. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113829 · Cited by 24
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Lei, C., & Wang, Q. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23115922 · Cited by 25
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Liu, Z., Xia, Q. H., Zhao, X. L., Zheng, F., Xiao, J., Ge, F., Wang, D., & Gao, X. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03409-5 · Cited by 25
Self-citationMechanism of METTL3 ‐mediated m6A modification in depression‐induced cognitive deficits
Niu, J., Wang, B., Wang, T., & Zhou, T. (2022) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32892 · Cited by 23
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Zhang, S., Long, F., Lin, H., Wang, X., Jiang, G., & Wang, T. (2021) · Pharmacological Research · doi:10.1016/j.phrs.2021.105936 · Cited by 23
Mo, B., Li, X.-M., Li, S.-M., Xiao, B., Yang, J., & Li, H. (2022) · Gene · doi:10.1016/j.gene.2022.146457 · Cited by 22
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Vausort, M., Niedolistek, M., Lumley, A. I., Oknińska, M., Paterek, A., Ma̧czewski, M., Dong, X., Jäger, C., Linster, C. L., Leszek, P., et al. (2022) · Cells · doi:10.3390/cells11152271 · Cited by 23
Zheng, C., Yu, G., Su, Q., Wu, L., Tang, J., Lin, X., Chen, Y., Guo, Z., Zheng, F., Zheng, H., et al. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.163429 · Cited by 23
Chang, R., Zhu, S., Peng, J., Lang, Z., Zhou, X., Liao, H., Zou, J., Zeng, P. H., & Tan, S. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02647-4 · Cited by 27
Metadata
- Authors
- Han, M., Liu, Z., Xu, Y., Liu, X., Wang, D., Li, F., Wang, Y., & Bi, J.
- Affiliations
- Second Hospital of Shandong University (CN)
- Shandong University (CN)
- Corresponding author
- Wang, Yun
- Venue
- Frontiers in Neuroscience
- Publisher
- Frontiers Media SA
- Published
- 2020-02-28
- Volume
- 14
- Pages
- 98-98
- ISSN
- 1662-453X (ISSN-L)
- PMC
- PMC7058666
- OpenAlex
- W3008232393
- Cited by
- 286
- References
- 29
- Citations by year
- 2026: 26 · 2025: 25 · 2024: 43 · 2023: 64 · 2022: 52 · 2021: 62 · 2020: 14
- FWCI
- 16.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Neuroscience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Natural Science Foundation of China
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA modifications and cancer
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- Alzheimer's disease, N6-methyladenosine, RNA methylation, APP/PS1 mice, synaptic dysfunction, hippocampus, cortex, neurodegeneration
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