The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Identification of Alzheimer's disease–associated long noncoding RNAs
Abstract
Alzheimer's disease (AD) is the most common dementia among the elderly that involves complex neurodegenerative alterations. Multiple cellular processes including regulation of amyloid-β peptide, tau, inflammation, and cell death have been suggested to associate with AD, but it remains largely unknown if long noncoding RNAs (lncRNAs) may be playing a role in AD pathogenesis. Here, we identify AD-associated lncRNAs by reannotation of microarray data based on postmortem tissue samples of AD patients and matched elderly controls. We found 24 upregulated and 84 downregulated lncRNAs in AD patients compared with controls, most being intergenic. An analysis of lncRNAs in various tissues indicated that most downregulated lncRNAs in AD are highly expressed in the brain but not in other tissues. Gene set enrichment analysis identified a downregulated lncRNA n341006 in association with protein ubiquitination pathway, and a significantly upregulated lncRNA n336934 linked to cholesterol homeostasis. Interestingly, lncRNA expression signatures could predict tissue types with equal accuracy as protein-coding genes, but the number of lncRNAs required for optimal prediction was less than protein-coding genes. Taken together, our study provides a resource for AD-associated lncRNAs for the development of lncRNA biomarkers and the identification of functional lncRNAs involved in AD pathogenesis.
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“Among them, LINC02552 has been reported to be associated with genes involved in protein homeostasis pathways (41).”
From Comprehensive characterization of the transcriptional landscape in Alzheimer’s disease (AD) brains (2025) · cites this paper as [41]
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Cites
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458
Circos: An information aesthetic for comparative genomicsPreprint
Krzywinski, M. I., Schein, J. E., Birol, İ., Connors, J. M., Gascoyne, R. D., Horsman, D. E., Jones, S. J. M., & Marra, M. A. (2009) · Genome Research · doi:10.1101/gr.092759.109 · Cited by 11,073
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459
Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes
Tsai, M.-C., Manor, O., Wan, Y., Mosammaparast, N., Wang, J. K., Lan, F., Shi, Y., Segal, E., & Chang, H. Y. (2010) · Science · doi:10.1126/science.1192002 · Cited by 3,290
Diagnosis of multiple cancer types by shrunken centroids of gene expression
Tibshirani, R. J., Hastie, T. J., Narasimhan, B., & Chu, G. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.082099299 · Cited by 2,931
MAQC Consortium, Shi, L., Shi, L., Reid, L. H., Jones, W. D., Shippy, R., Warrington, J. A., Baker, S. C., Collins, P. J., de Longueville, F., et al. (2006) · Nature Biotechnology · doi:10.1038/nbt1239 · Cited by 2,126
Self-citationFaghihi, M. A., Modarresi, F., Khalil, A. M., Wood, D. E., Sahagan, B. G., Morgan, T. E., Finch, C. E., St. Laurent III, G., Kenny, P. J., & Wahlestedt, C. (2008) · Nature Medicine · doi:10.1038/nm1784 · Cited by 1,416
Alzheimer's disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci
De Jager, P. L., Srivastava, G., Lunnon, K., Burgess, J., Schalkwyk, L. C., Yu, L., Eaton, M. L., Keenan, B. T., Ernst, J., McCabe, C., et al. (2014) · Nature Neuroscience · doi:10.1038/nn.3786 · Cited by 956
Devi, L., Prabhu, B. M., Galati, D. F., Avadhani, N. G., & Anandatheerthavarada, H. K. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1469-06.2006 · Cited by 792
Verghese, P. B., Castellano, J. M., Garai, K., Wang, Y., Jiang, H., Shah, A., Bu, G., Frieden, C., & Holtzman, D. M. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1220484110 · Cited by 556
Research works printed but not linked: 1
- Otsubo, 2015, Use of pharmacogenomics and biomarkers in the development of new drugs for Alzheimer disease in Japan, Clin. Ther
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The Long Non-Coding RNAs in Neurodegenerative Diseases: Novel Mechanisms of Pathogenesis
Riva, P., Ratti, A., & Venturin, M. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160622112234 · Cited by 309
Noncoding RNAs in Alzheimer's disease
Idda, M. L., Munk, R. B., Abdelmohsen, K., & Gorospe, M. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1463 · Cited by 211
The Emerging Role of Long Noncoding RNAs in Human Disease
DiStefano, J. K. (2018) · Methods in molecular biology · doi:10.1007/978-1-4939-7471-9_6 · Cited by 203
Molecular mechanisms of long noncoding RNAs and their role in disease pathogenesis
Hu, G., Niu, F., Humburg, B. A., Liao, K., Bendi, V. S., Callen, S. E., Fox, H. S., & Buch, S. J. (2018) · Oncotarget · doi:10.18632/oncotarget.24307 · Cited by 199
Long noncoding RNAs and Alzheimer's disease
Luo, Q., & Chen, Y. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s107037 · Cited by 156
Metadata
- Authors
- Zhou, X., & Xu, J.
- Affiliations
- Shanghai Jiao Tong University (CN)
- Corresponding author
- Zhou, Xiaolin
- Xu, Jie
- ORCID
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2015-11
- Volume
- 36
- Issue
- 11
- Pages
- 2925-2931
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W1854922036
- Cited by
- 102
- References
- 56
- Citations by year
- 2025: 4 · 2024: 5 · 2023: 4 · 2022: 9 · 2021: 14 · 2020: 17 · 2019: 11 · 2018: 22 · 2017: 6 · 2016: 10
- FWCI
- 4.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Natural Science Foundation of China (81200976, 81272383, 81322036)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- Alzheimer's disease, long non-coding RNA, lncRNA expression profiling, postmortem brain, lncRNA biomarkers, ubiquitination, cholesterol homeostasis, intergenic lncRNAs, amyloid-beta, tau protein, neurodegeneration
- MeSH terms
- Alzheimer Disease, Brain, Cholesterol, Homeostasis, Humans, Proteins, Down-Regulation, Up-Regulation, Gene Expression, RNA, Untranslated, Microarray Analysis, Ubiquitination, Genetic Association Studies
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