The DOI matches its Crossref record; 59 of the 60 references it cites were found in a registry or an index.
Age-related Huntington’s disease progression modeled in directly reprogrammed patient-derived striatal neurons highlights impaired autophagy
Open accessAbstract
Huntington's disease (HD) is an inherited neurodegenerative disorder with adult-onset clinical symptoms, but the mechanism by which aging drives the onset of neurodegeneration in patients with HD remains unclear. In this study we examined striatal medium spiny neurons (MSNs) directly reprogrammed from fibroblasts of patients with HD to model the age-dependent onset of pathology. We found that pronounced neuronal death occurred selectively in reprogrammed MSNs from symptomatic patients with HD (HD-MSNs) compared to MSNs derived from younger, pre-symptomatic patients (pre-HD-MSNs) and control MSNs from age-matched healthy individuals. We observed age-associated alterations in chromatin accessibility between HD-MSNs and pre-HD-MSNs and identified miR-29b-3p, whose age-associated upregulation promotes HD-MSN degeneration by impairing autophagic function through human-specific targeting of the STAT3 3' untranslated region. Reducing miR-29b-3p or chemically promoting autophagy increased the resilience of HD-MSNs against neurodegeneration. Our results demonstrate miRNA upregulation with aging in HD as a detrimental process driving MSN degeneration and potential approaches for enhancing autophagy and resilience of HD-MSNs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“This miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [32]
The cited source says what the claim attributes to it.
In the citing paper
“Indeed, counteracting aging pathways has been shown to lower age- and disease stage-dependent neurodegeneration in a patient-derived Huntington disease model (32).”
From Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming (2024) · cites this paper as [32]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
WGCNA: an R package for weighted correlation network analysis
Langfelder, P., & Horvath, S. (2008) · BMC Bioinformatics · doi:10.1186/1471-2105-9-559 · Cited by 27,252
Enrichr: a comprehensive gene set enrichment analysis web server 2016 update
Kuleshov, M. V., Jones, M. R., Rouillard, A. D., Fernandez, N. F., Duan, Q., Wang, Z., Koplev, S., Jenkins, S. L., Jagodnik, K. M., Lachmann, A., et al. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkw377 · Cited by 10,799
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Chen, E. Y., Tan, C. M., Kou, Y., Duan, Q., Wang, Z., Meirelles, G. V., Clark, N. R., & Ma’ayan, A. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-128 · Cited by 7,814
DNA methylation age of human tissues and cell types
Horvath, S. (2013) · Genome Biology · doi:10.1186/gb-2013-14-10-r115 · Cited by 7,075
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues
Corces, M. R., Trevino, A. E., Hamilton, E. G., Greenside, P. G., Sinnott-Armstrong, N. A., Vesuna, S., Satpathy, A. T., Rubin, A. J., Montine, K. S., Wu, B., et al. (2017) · Nature Methods · doi:10.1038/nmeth.4396 · Cited by 2,496
Inclusion body formation reduces levels of mutant huntingtin and the risk of neuronal death
Arrasate, M., Mitra, S., Schweitzer, E. S., Segal, M. R., & Finkbeiner, S. (2004) · Nature · doi:10.1038/nature02998 · Cited by 1,979
Vonsattel, J. P., & DiFiglia, M. (1998) · Journal of Neuropathology & Experimental Neurology · doi:10.1097/00005072-199805000-00001 · Cited by 1,305
Induction of human neuronal cells by defined transcription factors
Pang, Z. P., Yang, N., Vierbuchen, T., Ostermeier, A., Fuentes, D., Yang, T. Q., Citri, A., Sebastiano, V., Marro, S. G., Südhof, T. C., et al. (2011) · Nature · doi:10.1038/nature10202 · Cited by 1,273
Monitoring and Measuring Autophagy
Yoshii, S. R., & Mizushima, N. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18091865 · Cited by 1,107
Huntington disease: natural history, biomarkers and prospects for therapeutics
Ross, C. A., Aylward, E. H., Wild, E. J., Langbehn, D. R., Long, J. D., Warner, J. H., Scahill, R. I., Leavitt, B. R., Stout, J. C., Paulsen, J. S., et al. (2014) · Nature Reviews Neurology · doi:10.1038/nrneurol.2014.24 · Cited by 1,016
Cited by
Sorted by citations
Non-coding RNAs in disease: from mechanisms to therapeutics
Németh, K., Bayraktar, R., Ferracin, M., & Călin, G. A. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00662-1 · Cited by 953
Molecular and cellular mechanisms of selective vulnerability in neurodegenerative diseases
Kampmann, M. (2024) · Nature reviews. Neuroscience · doi:10.1038/s41583-024-00806-0 · Cited by 142
Huntington’s Disease: Complex Pathogenesis and Therapeutic Strategies
Tong, H., Yang, T., Xu, S., Li, X., Liu, L., Zhou, G., Yang, S., Yin, S., Li, X., & Li, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25073845 · Cited by 142
Modeling late-onset Alzheimer’s disease neuropathology via direct neuronal reprogramming
Sun, Z., Kwon, J.-S., Ren, Y., Chen, S., Walker, C. K., Lu, X., Cates, K., Karahan, H., Sviben, S., Fitzpatrick, J. A. J., et al. (2024) · Science · doi:10.1126/science.adl2992 · Cited by 77
“…miRNA-induced neuronal state can synergize with additional transcription factors (TFs) to generate disease-relevant neuronal subtypes that recapitulate age-dependent neuropathology (26, 28, 30, 31), including primary tauopathy and adult-onset neurodegeneration of Huntington’s disease (20, 32, 33).”
Self-citationSulfide regulation and catabolism in health and disease
Hou, Y., Lv, B., Du, J., Ye, M., Jin, H., Yi, Y., & Huang, Y. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02231-w · Cited by 56
Cellular reprogramming as a tool to model human aging in a dish
Pitrez, P. R., Monteiro, L. M., Borgogno, O., Nissan, X., Mertens, J., & Ferreira, L. (2024) · Nature Communications · doi:10.1038/s41467-024-46004-5 · Cited by 51
Multi-omic analysis of Huntington’s disease reveals a compensatory astrocyte state
Paryani, F., Kwon, J., Ng, C., Jakubiak, K. A., Madden, N., Ofori, K., Tang, A., Lü, H., Xia, S., Li, J., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50626-0 · Cited by 51
Self-citationNovel human iPSC models of neuroinflammation in neurodegenerative disease and regenerative medicine
Summers, R. A., Fagiani, F., Rowitch, D. H., Absinta, M., & Reich, D. S. (2024) · Trends in Immunology · doi:10.1016/j.it.2024.08.004 · Cited by 39
Ago, Y., Rintz, E., Musini, K. S., Ma, Z., & Tomatsu, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021113 · Cited by 44
Mitophagy’s impacts on cancer and neurodegenerative diseases: implications for future therapies
Huang, J. B., Pham, V. T., Fu, S., Huang, G., Liu, Y., & Zheng, L. (2025) · Journal of Hematology & Oncology · doi:10.1186/s13045-025-01727-w · Cited by 39
Pierzynowska, K., Podlacha, M., Gaffke, L., Rintz, E., Wiśniewska, K., Cyske, Z., & Węgrzyn, G. (2023) · Autophagy · doi:10.1080/15548627.2023.2286116 · Cited by 36
Speidell, A. P., Abid, N. B., & Yano, H. (2023) · Biomedicines · doi:10.3390/biomedicines11082275 · Cited by 33
Diab, R., Pilotto, F., & Saxena, S. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1086895 · Cited by 34
Li, X., Tong, H., Xu, S., Zhou, G., Yang, T., Yin, S., Yang, S., Li, X., & Li, S. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111787 · Cited by 31
Shafie, A., Ashour, A. A., Anwar, S., Anjum, F., & Hassan, M. I. (2024) · Archives of Pharmacal Research · doi:10.1007/s12272-024-01499-w · Cited by 29
Lee, S. W., Oh, Y. M., Victor, M. B., Yang, Y., Chen, S., Strunilin, I., Dahiya, S. M., Dolle, R. E., Pak, S. C., Silverman, G. A., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00538-3 · Cited by 25
Self-citationBlood exosome sensing via neuronal insulin-like growth factor-1 regulates autism-related phenotypes
Chen, L., Xiong, X., Yao, T.-T., Gui, L.-N., Luo, F., Du, Y., & Cheng, Y. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106965 · Cited by 25
Zhang, Q., He, C., Guo, J., Tang, D., Qian, D., Zheng, C. W., Wu, C., & Peng, W. (2025) · Bio-Design and Manufacturing · doi:10.1631/bdm.2400248 · Cited by 21
Spatially resolved microRNA expression in tissues: technologies, challenges, and opportunities
Robles-Remacho, A., Zou, Y., Grillo, M., & Nilsson, M. (2025) · Trends in Genetics · doi:10.1016/j.tig.2025.06.005 · Cited by 22
Targeting the autophagy-lysosomal pathway in Huntington disease: a pharmacological perspective
Yang, J., & Zhang, C. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1175598 · Cited by 21
Du, M., Yu, Y., Wang, J., & Ji, C. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms27010366 · Cited by 22
Oh, Y. M., Lee, S. W., & Yoo, A. S. J. (2023) · Autophagy · doi:10.1080/15548627.2023.2175572 · Cited by 20
Self-citationWeng, M., Hu, H., Graus, M. S., Tan, D. S., Gao, Y., Ren, S., Ho, D. H. H., Langer, J., Holzner, M., Huang, Y., et al. (2023) · Science Advances · doi:10.1126/sciadv.adh2501 · Cited by 20
RNA variant assessment using transactivation and transdifferentiation
Nicolas-Martinez, E. C., Robinson, O., Pflueger, C., Gardner, A. E., Corbett, M. A., Ritchie, T., Kroes, T., van Eyk, C. L., Scheffer, I. E., Hildebrand, M. S., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.06.018 · Cited by 18
Recent Advances in the Roles of MicroRNA and MicroRNA-Based Diagnosis in Neurodegenerative Diseases
Zhang, J., Chen, Z., Chen, H., Deng, Y., Li, S., & Jin, L. J. (2022) · Biosensors · doi:10.3390/bios12121074 · Cited by 13
Post-transcriptional mechanisms controlling neurogenesis and direct neuronal reprogramming
Papadimitriou, E., & Thomaidou, D. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.390976 · Cited by 14
MicroRNAs regulating autophagy: opportunities in treating neurodegenerative diseases
Mohseni, M., Behzad, G., Farhadi, A., Behroozi, J., Mohseni, H., & Valipour, B. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1397106 · Cited by 12
Pathobiology of the autophagy-lysosomal pathway in the Huntington’s disease brainPreprint
Berg, M. J., Veeranna, Rosa, C. M., Kumar, A. R., Mohan, P. S., Stavrides, P. H., Marchionini, D. M., Yang, D., & Nixon, R. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.05.29.596470 · Cited by 12
Sun, H., Li, M., Li, Y., Na, Z., Li, J., Li, X., Liu, Y., Ji, Q., Zhou, L., Su, J., et al. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25147709 · Cited by 11
Simmons, D. A., Alexander, N., Cao, G., Rippin, I., Lugassy, Y., Eldar-Finkelman, H., & Longo, F. M. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00495 · Cited by 10
Cates, K., Yuan, L., Yang, Y., & Yoo, A. S. J. (2025) · Cell Reports · doi:10.1016/j.celrep.2024.115153 · Cited by 11
Self-citationLiu, M., Ma, S., Tai, W., Zhong, X., Ni, H., Zou, Y., Wang, J., & Zhang, C. (2024) · Cell Death and Disease · doi:10.1038/s41419-023-06395-7 · Cited by 10
Giri, S., Mehta, R., & Mallick, B. N. (2023) · Brain Sciences · doi:10.3390/brainsci14010008 · Cited by 9
Mirfakhar, F. S., Marsh, J. A., Sato, C., Schache, K. J., Minaya, M., Dolle, R. E., Pak, S. C., Silverman, G. A., Perlmutter, D. H., Macauley, S. L., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-70473-5 · Cited by 9
Self-citationLuo, C., & Yang, J. (2024) · Aging Cell · doi:10.1111/acel.14285 · Cited by 9
Pathogenesis of polyglutamine diseases: Piecing together a complex molecular puzzle
Gonzalez, E. V., & Zoghbi, H. Y. (2025) · The Journal of Experimental Medicine · doi:10.1084/jem.20241336 · Cited by 9
Autophagy–NAD+ axis: emerging insights into neuronal homeostasis and neurodegenerative diseases
Koçak, G., Dimas, M. M., Silva, L., Silva-Amaral, D., Sun, C., Cruddas, S., Barrett, T. G., Martins‐de‐Souza, D., Cunha‐Neto, E., Brocardo, P. S., et al. (2025) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2025.1695486 · Cited by 8
Oh, Y. M., & Lee, S. W. (2024) · Molecules and Cells · doi:10.1016/j.mocell.2024.100046 · Cited by 7
Self-citationChiarelli, N., Cinquina, V., Martini, P. G. V., Bertini, V., Zoppi, N., Venturini, M., Ritelli, M., & Colombi, M. (2023) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2023.166915 · Cited by 7
Li, J., Moretti, F., Hidvegi, T., Sviben, S., Fitzpatrick, J. A. J., Sundaramoorthi, H., Pak, S. C., Silverman, G. A., Knapp, B., Filipuzzi, I., et al. (2024) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2024.02.006 · Cited by 6
Self-citationAdvancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA
Hering, C., & Conover, G. M. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26093947 · Cited by 7
Chiu, C., Weng, Y.-H., Yeh, T., Chen, W.-S., Liu, S.-Y., Chiu, T.-J., Li, A. H.-L., & Wang, H. (2025) · Life Sciences · doi:10.1016/j.lfs.2025.123789 · Cited by 6
Insights and applications of direct neuronal reprogramming
Schaukowitch, K., Janas, J. A., & Wernig, M. (2023) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2023.102128 · Cited by 8
Inborn errors of canonical autophagy in neurodegenerative diseases
Freisem, D., Hoenigsperger, H., Catanese, A., & Sparrer, K. M. J. (2024) · Human Molecular Genetics · doi:10.1093/hmg/ddae179 · Cited by 6
Brown, J. S. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105206 · Cited by 6
Tyler, S. E. B., & Tyler, L. D. K. (2023) · Brain Disorders · doi:10.1016/j.dscb.2023.100094 · Cited by 6
Microbiota dysbiosis impact on the immune system dysregulation in Huntington’s disease (HD)
Acharjee, P., Prasad, S. K., Singh, V. V., Ray, M., & Acharjee, A. (2025) · International review of neurobiology · doi:10.1016/bs.irn.2025.04.002 · Cited by 5
Moving CNS axon growth and regeneration research into human model systems
Lear, B. P., & Moore, D. L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1198041 · Cited by 5
Zhang, Y., Liang, C., Xu, H., Li, Y., Xia, K., Wang, L., Huang, X., Chen, J., Shu, J., Cheng, F., et al. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.06.018 · Cited by 6
Pathobiology of the autophagy-lysosomal pathway in the Huntington’s disease brain
Berg, M. J., Veeranna, Rosa, C. M., Kumar, A. R., Mohan, P. S., Stavrides, P. H., Darji, S., Marchionini, D. M., Yang, D., & Nixon, R. A. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02131-8 · Cited by 15
Navigating the Autophagy Maze: ATG and Their Impact on Neurodegenerative Diseases
Amirian, R., Merati, A., Babamohamadi, M., Mirahmadi, Y., Esfahani, M. L., Rahmani, S., Izadi, Z., & Rezazadeh, D. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05332-3 · Cited by 4
Fountain of youth—Targeting autophagy in aging
Danics, L., Abbas, A. A., Kis, B., & Pircs, K. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1125739 · Cited by 4
Lin, H., Makhlouf, A., Echegaray, C. V., Zawada, D. M., & Simões, F. C. (2023) · Development · doi:10.1242/dev.202300 · Cited by 4
Kraskovskaya, N., Георгиевич, Х. М., Tomilin, A. N., & Mikhailova, N. (2024) · Doklady Biological Sciences · doi:10.1134/s0012496623700849 · Cited by 4
Multi-OMIC analysis of Huntington disease reveals a neuroprotective astrocyte statePreprint
Paryani, F., Kwon, J., Ng, C. W., Madden, N., Ofori, K., Tang, A., Lü, H., Li, J., Mahajan, A., Davidson, S. M., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.08.556867 · Cited by 4
Self-citationEfficacy of therapy by MK-28 PERK activation in the Huntington's disease R6/2 mouse model
Shacham, T., Offen, D., & Lederkremer, G. Z. (2024) · Neurotherapeutics · doi:10.1016/j.neurot.2024.e00335 · Cited by 3
Inhibition of UBE2N promotes the clearance of mutant HTT (huntingtin) in HD knock-in mice
Ou, K., Wang, X., Guo, M., Li, D., Zhang, C., Chen, L., Hou, J., Jia, Q., Zhu, L., Yang, S., et al. (2025) · Autophagy · doi:10.1080/15548627.2025.2549109 · Cited by 3
Short Peptides Protect Fibroblast-Derived Induced Neurons from Age-Related Changes
Kraskovskaya, N., Linkova, N. S., Sakhenberg, E. I., Kriger, D. V., Polyakova, V. O., Медведев, Д. С., Krasichkov, A. S., Георгиевич, Х. М., & Ryzhak, G. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111363 · Cited by 4
Xu, C., Xu, Y., Gao, L., Wang, M., Wang, G., & Wang, G. (2025) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s529168 · Cited by 2
Azam, H. M. H., Mumtaz, M., Rödiger, S., Schierack, P., Hussain, N., & Ambreen, A. (2025) · Neurological Sciences · doi:10.1007/s10072-025-08419-w · Cited by 3
Targeting UCHL3 attenuates pathological markers in neuronal models of Huntington’s disease
Ishtayeh, H., Battistoni, E., Pochtar, S., McHugh, T. L. M., Tshilenge, K., Rossmiller, B. P., Amer‐Sarsour, F., Berdichevsky, Y., Muchtar, N., Weil, M., et al. (2026) · Brain · doi:10.1093/brain/awag028 · Cited by 2
Liu, X., Li, G., Guo, Y., Li, R., Yi, S., Ding, S., & Wan, J. (2025) · Experimental Neurology · doi:10.1016/j.expneurol.2025.115370 · Cited by 2
Autophagy and Huntington's disease
Croce, K. R., Jasutkar, H. G., & Yamamoto, A. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95672-7.00018-2 · Cited by 2
Liu, M., Ma, S., Tai, W., Zhong, X., Ni, H., Zou, Y., wang, J., & Zhang, C. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.04.24.538014 · Cited by 2
Hanifi, M., Ateş, P. S., Wen, S., Fischer, M., Kroesen, A. E., Yu, Z., Wood, M., Thongjuea, S., Mead, A. J., Fulga, T. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.16.612263 · Cited by 2
Oh, Y. M., Lee, S. W., & Yoo, A. S. J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95672-7.00012-1 · Cited by 1
Self-citationAutophagy-mediated cell death: Mechanisms and implications in neurodegenerative disorders
Zhang, L., Lü, Y., & Liu, B. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-32852-7.00017-6 · Cited by 1
Genetic dissection of Huntington’s disease modification by variation at RRM2B
Lee, K., Shin, B., Kim, M., Lee, S. W., Oh, Y. M., Kim, K., Jiang, A., Ko, K., Gillis, T., Lucente, D. E., et al. (2025) · Human Molecular Genetics · doi:10.1093/hmg/ddaf150 · Cited by 1
Self-citationHydrogen Sulfide Signaling in Neurodegenerative Movement Disorders
Pieper, A. A., & Paul, B. D. (2025) · Handbook of experimental pharmacology · doi:10.1007/164_2025_757 · Cited by 1
Targeting STAT3 in Alzheimer's disease: Potential mechanisms and therapeutic implications
Chen, P., Wang, R., Zhou, T., Sun, Y. N., Kirchhoff, F., Miao, Z., & Zhuang, C. (2026) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2026.118785 · Cited by 1
DHCR24 in cholesterol metabolism and diseases of the nervous system
Zhu, H. G., Li, S., Yang, Y. Z., 张似青, Wang, Y., & Xiong, T. (2026) · Lipids in Health and Disease · doi:10.1186/s12944-026-02954-x · Cited by 1
Three-dimensional direct neuronal reprogramming for modeling Alzheimer’s disease neuropathology
Sun, Z., Lee, Y., Walker, C. K., Karch, C. M. M., & Yoo, A. S. J. (2026) · Nature Protocols · doi:10.1038/s41596-026-01388-0 · Cited by 1
Self-citationRoles of autophagy in brain homeostasis and disease
Kim, H., Wickstead, E. S., Zhou, X., Choi, I., & Yue, Z. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02426-6 · Cited by 1
Advancements in personalized stem cell models for aging-related neurodegenerative disorders
Weng, M., & Jauch, R. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-23-01793 · Cited by 1
Dong, J., Ding, Y., Xia, G., Guo, X., Jiang, L., & Ouyang, A. (2024) · Folia Neuropathologica · doi:10.5114/fn.2024.141512 · Cited by 1
Kraskovskaya, N., Koltsova, A. M., Parfenova, P. S., Shatrova, A. N., Yartseva, N., Назаров, В. Д., Devyatkina, E., Георгиевич, Х. М., & Mikhailova, N. (2024) · Biochemistry (Moscow) · doi:10.1134/s000629792407006x · Cited by 1
Diagnostic Value of Serum miR-499a-5p in Chinese Children with Autism Spectrum Disorders
Ren, J., Bai, Y., Gao, J., Hou, Y., Mao, J., Gao, F., & Wang, J. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-024-02296-2 · Cited by 1
Age-maintained human neurons demonstrate a developmental loss of intrinsic neurite growth abilityPreprint
Lear, B. P., Thompson, E. A. N., Rodriguez, K., Arndt, Z. P., Khullar, S., Klosa, P. C., Lu, R. J., Morrow, C. S., Risgaard, R. D., Peterson, E. R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.23.541995 · Cited by 1
SAK3 confers neuroprotection in the neurodegeneration model of X-linked Dystonia-ParkinsonismPreprint
Aryal, S., Chen, S., Burbach, K. F., Yang, Y., Capano, L. S., Kim, W. K., Bragg, D. C., & Yoo, A. S. J. (2024) · Research Square · doi:10.21203/rs.3.rs-4068432/v1 · Cited by 1
Self-citationAutophagic enhancer rescues Tau accumulation in a stem cell model of frontotemporal dementiaPreprint
Mirfakhar, F. S., Marsh, J. A., Minaya, M., Pak, S. C., Silverman, G. A., Perlmutter, D. H., Macauley, S. L., & Karch, C. M. M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.09.30.615921 · Cited by 1
Self-citationKlinman, E., Kwon, J., Dolle, R. E., Pak, S. C., Silverman, G. A., Perlmutter, D. H., & Yoo, A. S. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.02.680077 · Cited by 1
Self-citationPassarella, S., Brandes, K., Dankert, E., Cavalli, P., Kröger, A., Dieterich, D. C., & Landgraf, P. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.25.559304
Age-related disease: Central nervous system
Fossel, M. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-15500-0.00005-0
Yoo, A. S. J., Church, V. A., Krzyżosiak, A., Chen, S., Kwon, J., Victor, M. B., Miao, B., Zhang, B., Dahiya, S. M., & Bertolotti, A. (2024) · Research Square · doi:10.21203/rs.3.rs-4104643/v1
Self-citationKraskovskaya, N., Георгиевич, Х. М., Tomilin, A. N., & Mikhailova, N. (2024) · Доклады Российской академии наук Науки о жизни · doi:10.31857/s2686738924010131
Kraskovskaya, N., Koltsova, A. M., Parfenova, P. S., Shatrova, A. N., Yartseva, N., Назаров, В. Д., Devyatkina, E., Георгиевич, Х. М., & Mikhailova, N. (2024) · Biochemistry (Moscow) · doi:10.31857/s0320972524070046
Liu, T., Huang, T., Jin, W., Chu, T., Ying, R., & Zhao, H. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.22.649977
Post-transcriptional regulation in intervertebral disc degeneration
Li, X., Liang, H., Du, Z., Shi, R., Song, Y., & Yang, C. (2026) · Genes & Diseases · doi:10.1016/j.gendis.2026.102037
Gupta, H., Singh, S., Kaushik, A. C., Awasthi, A. K., & Sahi, S. (2026) · Journal of Molecular Neuroscience · doi:10.1007/s12031-025-02463-z
Langfelder, P., Wang, N., Ramanathan, L., Oh, Y. M., Lee, S., Gao, F., Gu, X., Stricos, M., Plascencia, M., Vaca, R., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.02.709091
Self-citationDeubiquitinases at organelle quality control bottlenecks in neurodegeneration
Ellerby, L., & Ashkenazi, A. (2026) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2026.05.006
CDKN1A protects medium spiny neurons from Huntington's disease pathology
Lee, S. W., Upshaw, T. J., Bailey, D. J., Lee, S.-A., Kim, J., Joshi, P., Smith, G. E., Swinford, S., & Oh, Y. M. (2026) · Neurobiology of Disease · doi:10.1016/j.nbd.2026.107522
Self-citationChen, Y., Zheng, Z., Zhao, P., Zhu, J., Sun, H., Zhu, H., Zeng, Y., Shang, B., Zhang, A., Pan, Y., et al. (2026) · Frontiers in Neuroscience · doi:10.3389/fnins.2026.1889859
Klinman, E., Kwon, J.-S., Dolle, R. E., Pak, S. C., Silverman, G. A., Perlmutter, D. H., & Yoo, A. S. J. (2026) · Autophagy · doi:10.1080/15548627.2026.2719435 · Cited by 1
Self-citationRegenerative medicine for neurodegenerative diseases: history, strategies, and clinical advances
Li, J., Duan, H., Hao, P., Zhao, W., Gao, Y., Yang, Z., & Li, X. (2026) · Translational research · doi:10.1016/j.trsl.2026.08.005
Oh, Y. M., Bacallao, E. A., Lee, S.-A., Kim, J., Swinford, S., Smith, G. E., Britt, B., Abdalla, S. M., & Lee, S. W. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01711-5
Self-citationmiR-196a reduces mutant Huntingtin aggregates by Rad23b-mediated degradation in Huntington’s disease
Tung, C.-W., Chan, S. C., Chen, Y.-C., Wu, P., Cheng, P., Chen, C., & Yang, S. (2026) · Journal of Biomedical Science · doi:10.1186/s12929-026-01292-5
Modeling human neurodegeneration with iPSCs: opportunities, limitations, and the challenge of aging
Wang, S., Elia, L., Liu, W., & Finkbeiner, S. M. (2026) · Journal of Clinical Investigation · doi:10.1172/jci209602
Kumari, R., Gupta, V., Devi, K., Chand, D., Dhanasekaran, M., & Agarwal, S. (2026) · Molecular Neurobiology · doi:10.1007/s12035-026-06274-0
Ramos, E. S., Boeddrich, A., Haenig, C., Trepte, P., Ammar, O., Secker, C., Popp, O., Ivanov, A., Beetz, S., Roth, L., et al. (2026) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2611301123 · Cited by 2
Metadata
- Authors
- Oh, Y. M., Lee, S. W., Kim, W. K., Chen, S., Church, V. A., Cates, K., Li, T., Zhang, B., Dolle, R. E., Dahiya, S., Pak, S. C., Silverman, G. A., Perlmutter, D. H., & Yoo, A. S.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Yoo, Andrew S.
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2022-10-27
- Volume
- 25
- Issue
- 11
- Pages
- 1420-1433
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC10162007
- OpenAlex
- W4307498144
- Cited by
- 100
- References
- 60
- Citations by year
- 2026: 19 · 2025: 23 · 2024: 35 · 2023: 22 · 2022: 1
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Cellular and Molecular Biology Training Program
- CHDI Foundation
- Cure Alzheimer's Fund
- Hereditary Disease Foundation
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (RF1AG056296)
- U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke (R01NS107488)
- Farrell Foundation Fund and Mallinckrodt Scholar Award
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Autophagy in Disease and Therapy
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- Huntington's disease, age-related neurodegeneration, striatal medium spiny neurons, direct reprogramming, fibroblast-to-neuron conversion, autophagy, miR-29b-3p, chromatin accessibility, neuronal cell death, disease onset, patient-derived neurons
- MeSH terms
- Animals, Autophagy, Corpus Striatum, Disease Models, Animal, Humans, Huntington Disease, Neurons, Disease Progression, MicroRNAs
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review