Transcriptomics Profiling of Alzheimer’s Disease Reveal Neurovascular Defects, Altered Amyloid-β Homeostasis, and Deregulated Expression of Long Noncoding RNAs
Open accessAbstract
The underlying genetic variations of late-onset Alzheimer's disease (LOAD) cases remain largely unknown. A combination of genetic variations with variable penetrance and lifetime epigenetic factors may converge on transcriptomic alterations that drive LOAD pathological process. Transcriptome profiling using deep sequencing technology offers insight into common altered pathways regardless of underpinning genetic or epigenetic factors and thus represents an ideal tool to investigate molecular mechanisms related to the pathophysiology of LOAD. We performed directional RNA sequencing on high quality RNA samples extracted from hippocampi of LOAD and age-matched controls. We further validated our data using qRT-PCR on a larger set of postmortem brain tissues, confirming downregulation of the gene encoding substance P (TAC1) and upregulation of the gene encoding the plasminogen activator inhibitor-1 (SERPINE1). Pathway analysis indicates dysregulation in neural communication, cerebral vasculature, and amyloid-β clearance. Beside protein coding genes, we identified several annotated and non-annotated long noncoding RNAs that are differentially expressed in LOAD brain tissues, three of them are activity-dependent regulated and one is induced by Aβ(1-42) exposure of human neural cells. Our data provide a comprehensive list of transcriptomics alterations in LOAD hippocampi and warrant holistic approach including both coding and non-coding RNAs in functional studies aimed to understand the pathophysiology of LOAD.
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Sanchez-Mejias et al. detected higher CD45 gene expression in the hippocampus and parahippocampal gyrus in Alzheimer's disease, whereas Magistri et al. identified no such increase in the hippocampus relative to controls.
“Sanchez-Mejias et al.76 detected higher CD45 gene expression in the hippocampus and parahippocampal gyrus in AD, whereas Magistri et al.71 identified no such increase in the hippocampus relative to controls.”
From Markers of microglia in post-mortem brain samples from patients with Alzheimer’s disease: a systematic review (2018) · cites this paper as [71]
Levels of several lncRNAs species are increased in the brain of LOAD patients.
“Levels of several lncRNAs species are increased in the brain of LOAD patients [616].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [616]
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Cites
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556 · see citing works
Gene Expression Omnibus: NCBI gene expression and hybridization array data repository
Edgar, R. (2002) · Nucleic Acids Research · doi:10.1093/nar/30.1.207 · Cited by 13,288 · see citing works
Trapnell, C., Roberts, A., Goff, L. A., Pertea, G. M., Kim, D., Kelley, D. R., Pimentel, H., Salzberg, S. L., Rinn, J. L., & Pachter, L. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.016 · Cited by 11,930 · see citing works
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,477 · see citing works
NCBI GEO: archive for functional genomics data sets—update
Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks1193 · Cited by 10,418 · see citing works
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 · see citing works
Molecular Mechanisms of Long Noncoding RNAs
Wang, K., & Chang, H. Y. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.08.018 · Cited by 4,390 · see citing works
Meta-Analysis of 74,046 Individuals Identifies 11 New Susceptibility Loci for Alzheimer’s Disease
(EADI), E. A. D. I., Lambert, J.-C., (GERAD), G. A. E. R. I. A. D., Alzheimer's Disease Genetic Consortium (ADGC), (CHARGE), C. F. H. A. A. R. I. G. E., Ibrahim-Verbaas, C. A., Harold, D., Naj, A. C., Sims, R., Bellenguez, C., et al. (2013) · Nature Genetics · doi:10.1038/ng.2802 · Cited by 4,336 · see citing works
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098 · see citing works
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 · see citing works
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326 · see citing works
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 · cited 1× · see citing works
“Several independent studies confirmed lincRNAs to function as enhancer (eRNAs) to regulate gene expression of neighboring genes [39–41] or to act as scaffold for the recruitment of chromatin modifying enzymes to regulate the epigenetic state of specific genomic loci [42–44].”
BackgroundNeurovascular pathways to neurodegeneration in Alzheimer’s disease and other disorders
Zlokovic, B. V. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3114 · Cited by 2,969 · see citing works
Khalil, A. M., Guttman, M., Huarte, M., Garber, M., Raj, A., Rivea Morales, D., Thomas, K., Presser, A., Bernstein, B. E., van Oudenaarden, A., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904715106 · Cited by 2,872 · see citing works
The projected effect of risk factor reduction on Alzheimer's disease prevalence
Barnes, D. E., & Yaffe, K. S. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70072-2 · Cited by 2,668 · see citing works
Alzheimer disease in the United States (2010–2050) estimated using the 2010 census
Hebert, L. E., Weuve, J., Scherr, P. A., & Evans, D. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31828726f5 · Cited by 2,642 · see citing works
Widespread transcription at neuronal activity-regulated enhancers
Kim, T.-K., Hemberg, M., Gray, J. M., Costa, A. M., Bear, D. M., Wu, J., Harmin, D. A., Laptewicz, M., Barbara-Haley, K., Kuersten, S., et al. (2010) · Nature · doi:10.1038/nature09033 · Cited by 2,450 · see citing works
Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease
the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234 · see citing works
RNA sequencing: advances, challenges and opportunities
Ozsolak, F., & Milos, P. M. (2011) · Nature Reviews Genetics · doi:10.1038/nrg2934 · Cited by 2,135 · cited 1× · see citing works
“RNAseq provides a more comprehensive and accurate transcriptomic analysis with the main advantage being the accurate analysis of all RNA species, including nonprotein coding RNAs (ncRNAs) [12] and alternatively spliced isoforms, thus representing an extraordinary tool to study transcriptomic changes associated with co…”
BackgroundCPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model
Wang, L., Park, H. J., Dasari, S., Wang, S., Kocher, J., & Li, W. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt006 · Cited by 2,003 · see citing works
Initiative, T. A. D. N., Hollingworth, P., CHARGE consortium, EADI1 consortium, Harold, D., Sims, R., Gerrish, A., Lambert, J.-C., Carrasquillo, M. M., Abraham, R., et al. (2011) · Nature Genetics · doi:10.1038/ng.803 · Cited by 1,997 · see citing works
Naj, A. C., Jun, G., Beecham, G. W., Wang, L.-S., Vardarajan, B. N., Buros, J., Gallins, P. J., Buxbaum, J. D., Jarvik, G. P., Crane, P. K., et al. (2011) · Nature Genetics · doi:10.1038/ng.801 · Cited by 1,901 · see citing works
lincRNAs act in the circuitry controlling pluripotency and differentiation
Guttman, M., Donaghey, J., Carey, B. W., Garber, M. G., Grenier, J. K., Munson, G., Young, G., Lucas, A. B., Ach, R. A., Bruhn, L., et al. (2011) · Nature · doi:10.1038/nature10398 · Cited by 1,845 · see citing works
Long Noncoding RNAs with Enhancer-like Function in Human Cells
Ørom, U. A., Derrien, T., Beringer, M., Gumireddy, K., Gardini, A., Bussotti, G., Lai, F., Zytnicki, M., Notredame, C., Huang, Q., et al. (2010) · Cell · doi:10.1016/j.cell.2010.09.001 · Cited by 1,721 · see citing works
HYMAN, B. T., & TROJANOWSKI, J. Q. (1997) · Journal of Neuropathology and Experimental Neurology · doi:10.1097/00005072-199710000-00002 · Cited by 1,542 · see citing works
Rainer Breitling, A., Armengaud, P., Anna Amtmann, A., & Herzyk, P. (2004) · FEBS Letters · doi:10.1016/j.febslet.2004.07.055 · Cited by 1,478 · see citing works
Faghihi, 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 · see citing works
Self-citationFunctional roles of enhancer RNAs for oestrogen-dependent transcriptional activation
Li, W., Notani, D., Ma, Q., Tanasa, B., Nunez, E., Chen, A. Y., Merkurjev, D., Zhang, J., Ohgi, K., Song, X., et al. (2013) · Nature · doi:10.1038/nature12210 · Cited by 1,049 · see citing works
Gritti, A., Parati, E. A., Cova, L., Frolichsthal, P., Galli, R., Wanke, E., Faravelli, L., Morassutti, D. J., Roisen, F. J., Nickel, D. D., et al. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-03-01091.1996 · Cited by 1,029 · see citing works
Prensner, J. R., Iyer, M. K., Balbin, O. A., Dhanasekaran, S. M., Cao, Q., Brenner, J. C., Laxman, B., Asangani, I. A., Grasso, C. S., Kominsky, H. D., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1914 · Cited by 1,026 · see citing works
Neuronal activity regulates the regional vulnerability to amyloid-β deposition
Bero, A. W., Yan, P., Roh, J. H., Cirrito, J. R., Stewart, F. R., Raichle, M. E., Lee, J.-M., & Holtzman, D. M. (2011) · Nature Neuroscience · doi:10.1038/nn.2801 · Cited by 880 · see citing works
Activating RNAs associate with Mediator to enhance chromatin architecture and transcription
Lai, F., Ørom, U. A., Cesaroni, M., Beringer, M., Taatjes, D. J., Blobel, G. A., & Shiekhattar, R. (2013) · Nature · doi:10.1038/nature11884 · Cited by 857 · see citing works
Alzheimer Disease as a Vascular Disorder
de la Torre, J. C. (2002) · Stroke · doi:10.1161/01.str.0000014421.15948.67 · Cited by 844 · see citing works
Tropepe, V., Sibilia, M. C., Ciruna, B. G., Rossant, J., Wagner, E. F., & van der Kooy, D. (1999) · Developmental Biology · doi:10.1006/dbio.1998.9192 · Cited by 815 · see citing works
RankProd: a bioconductor package for detecting differentially expressed genes in meta-analysis
Hong, F., Breitling, R., McEntee, C., Wittner, B. S., Nemhauser, J. L., & Chory, J. (2006) · Bioinformatics · doi:10.1093/bioinformatics/btl476 · Cited by 741 · see citing works
Regulatory roles of natural antisense transcripts
Faghihi, M. A., & Wahlestedt, C. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2738 · Cited by 737 · see citing works
Self-citationA long noncoding RNA protects the heart from pathological hypertrophy
Han, P., Li, W., Lin, C.-H., Yang, J., Shang, C., Nürnberg, S., Jin, K. K., Xu, W., Lin, C., Lin, C., et al. (2014) · Nature · doi:10.1038/nature13596 · Cited by 734 · see citing works
Demonstration of amyloid deposits and neurofibrillary changes in whole brain sections
Braak, H., & Braak, E. (1991) · Brain Pathology · doi:10.1111/j.1750-3639.1991.tb00661.x · Cited by 598 · see citing works
Evidence for natural antisense transcript-mediated inhibition of microRNA function
Faghihi, M., Zhang, M., Huang, J., Modarresi, F., van der Brug, M. P., Nalls, M., Cookson, M., Laurent, G. S. S., & Wahlestedt, C. (2010) · Genome Biology · doi:10.1186/gb-2010-11-5-r56 · Cited by 525 · see citing works
Self-citationDNMT1-interacting RNAs block gene-specific DNA methylation
Ruscio, A. D., Ebralidze, A. K., Benoukraf, T., Amabile, G., Goff, L. A., Terragni, J., Figueroa, M. E., de Figueiredo‐Pontes, L. L., Alberich-Jordà, M., Zhang, P., et al. (2013) · Nature · doi:10.1038/nature12598 · Cited by 508 · see citing works
Age-Specific Epigenetic Drift in Late-Onset Alzheimer's Disease
Wang, S.-C., Oelze, B., & Schumacher, A. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002698 · Cited by 467 · see citing works
Cesari, M., Pahor, M., & Incalzi, R. A. (2010) · Cardiovascular Therapeutics · doi:10.1111/j.1755-5922.2010.00171.x · Cited by 451 · see citing works
Barry, G., Briggs, J. A., Vanichkina, D. P., Poth, E. M., Beveridge, N. J., Ratnu, V. S., Nayler, S. P., Nones, K., Hu, J., Bredy, T. W., et al. (2014) · Molecular Psychiatry · doi:10.1038/mp.2013.45 · Cited by 394 · see citing works
Long noncoding RNAs in neuronal-glial fate specification and oligodendrocyte lineage maturation
Mercer, T. R., Qureshi, I., Gökhan, Ş., Dinger, M. E., Li, G., Mattick, J. S., & Mehler, M. F. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-14 · Cited by 390 · see citing works
Epigenetic changes in Alzheimer's disease: Decrements in DNA methylation
Mastroeni, D., Grover, A., Delvaux, E., Whiteside, C. M., Coleman, P. D., & Rogers, J. (2008) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.12.005 · Cited by 386 · see citing works
Regulation of chromatin structure by long noncoding RNAs: focus on natural antisense transcripts
Magistri, M., Faghihi, M. A., Laurent, G. S., & Wahlestedt, C. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.03.013 · Cited by 292 · see citing works
Self-citationBlood–brain-barriers in aging and in Alzheimer’s disease
Marques, F., Sousa, J. C., Sousa, N., & Palha, J. A. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-38 · Cited by 273 · see citing works
Gene expression profiling in human neurodegenerative disease
Cooper‐Knock, J., Kirby, J., Ferraiuolo, L., Heath, P. R., Rattray, M., & Shaw, P. J. (2012) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.156 · Cited by 218 · see citing works
Melchor, J. P., Pawlak, R., & Strickland, S. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-26-08867.2003 · Cited by 202 · see citing works
Modarresi, F., Faghihi, M. A., Patel, N. S., Sahagan, B. G., Wahlestedt, C., & López-Toledano, M. A. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/929042 · Cited by 154 · see citing works
Self-citationNeurovascular Defects and Faulty Amyloid-β Vascular Clearance in Alzheimer's Disease
Sagare, A. P., Bell, R. D., & Zloković, B. V. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-129037 · Cited by 146 · see citing works
Enhanced clearance of Aβ in brain by sustaining the plasmin proteolysis cascade
Jacobsen, J. S., Comery, T. A., Martone, R. L., Elokdah, H. M., Crandall, D. L., Oganesian, A., Aschmies, S., Kirksey, Y. M., Gonzales, C., Xu, J., et al. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0710823105 · Cited by 146 · see citing works
Massone, S., Ciarlo, E., Vella, S., Nizzari, M., Florio, T., Russo, C., Cancedda, R., & Pagano, A. (2012) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2012.05.001 · Cited by 134 · see citing works
Zloković, B. V. (1995) · Pharmaceutical Research · doi:10.1023/a:1016254514167 · Cited by 131 · see citing works
Lahiri, D. K., & Maloney, B. (2010) · Experimental Gerontology · doi:10.1016/j.exger.2010.01.001 · Cited by 124 · see citing works
Transport of Leucine‐Enkephalin Across the Blood‐Brain Barrier in the Perfused Guinea Pig Brain
Zloković, B. V., Lipovac, M. N., Begley, D. J., Davson, H., & Rakić, L. (1987) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1987.tb03431.x · Cited by 118 · see citing works
Zlokovic, B. V., Begley, D. J., & Chain-Eliash, D. G. (1985) · Brain Research · doi:10.1016/0006-8993(85)90423-8 · Cited by 114 · see citing works
Liu, T., Huang, Y., Chen, J., Chi, H., Yu, Z., WANG, J., & Chen, C. (2014) · Molecular Medicine Reports · doi:10.3892/mmr.2014.2351 · Cited by 110 · see citing works
HuD Regulates Coding and Noncoding RNA to Induce APP→Aβ Processing
Kang, M. J., Abdelmohsen, K., Hutchison, E. R., Mitchell, S. J., Grammatikakis, I., Guo, R., Noh, J. H., Martindale, J. L., Yang, X., Lee, E. K., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.04.050 · Cited by 106 · see citing works
Self-citationBrain Endothelial Hemostasis Regulation by Pericytes
Kim, J. A., Tran, N., Li, Z., Yang, F., Zhou, W., & Fisher, M. (2005) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600181 · Cited by 97 · see citing works
Özgür, E., Mert, U., Işın, M., Okutan, M., Dalay, N., & Deligezer, U. (2012) · Clinical and Experimental Medicine · doi:10.1007/s10238-012-0181-x · Cited by 97 · see citing works
Liu, R., Groen, T. V., Katre, A. K., Cao, D., Kadisha, I., Ballinger, C. A., Wang, L., Carroll, S. L., & Li, L. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.06.003 · Cited by 95 · see citing works
Long non‐coding RNAs coordinate cellular responses to stress
Lakhotia, S. C. (2012) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1135 · Cited by 91 · see citing works
Substance P‐like immunoreactivity is reduced in Alzheimer's disease cerebral cortex
Beal, M. F., & Mazurek, M. F. (1987) · Neurology · doi:10.1212/wnl.37.7.1205 · Cited by 87 · see citing works
Plasminogen activator inhibitor-1 as an early potential diagnostic marker for Alzheimer's disease
Oh, J.-H., Lee, H., Song, J., Park, S. I., & Kim, H. (2014) · Experimental Gerontology · doi:10.1016/j.exger.2014.10.004 · Cited by 81 · see citing works
Sutherland, G. T., Janitz, M., & Kril, J. J. (2010) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2010.07157.x · Cited by 67 · see citing works
Velmeshev, D., Magistri, M., & Faghihi, M. A. (2013) · Molecular Autism · doi:10.1186/2040-2392-4-32 · Cited by 52 · see citing works
Self-citationActivation of c-Fos contributes to amyloid β-peptide-induced neurotoxicity
Gillardon, F., Skutella, T., Uhlmann, E., et al. (1996) · Brain Research · doi:10.1016/0006-8993(95)01332-6 · Cited by 47 · see citing works
Epigenetic Mechanisms in Alzheimer's Disease
Daniilidou, M., Koutroumani, M., & Tsolaki, M. (2011) · Current Medicinal Chemistry · doi:10.2174/092986711795496872 · Cited by 46 · see citing works
Next-generation sequencing in understanding complex neurological disease
Handel, A. E., Disanto, G., & Ramagopalan, S. V. (2013) · Expert Review of Neurotherapeutics · doi:10.1586/ern.12.165 · Cited by 23 · see citing works
McCarthy, M., Vidaurre, I., & Geffin, R. (2006) · Journal of NeuroVirology · doi:10.1080/13550280600915347 · Cited by 17 · see citing works
Willis, M., Hutter‐Paier, B., Wietzorrek, G., Windisch, M., Humpel, C., Knaus, H., & Marksteiner, J. (2007) · Brain Research · doi:10.1016/j.brainres.2007.01.080 · Cited by 14 · see citing works
Pastori, C., Magistri, M., Napoli, S., et al. (2010) · Cell Cycle · doi:10.4161/cc.9.12.12049 · Cited by 12 · see citing works
Self-citationEvoking plasmin for β-amyloid clearance
Zhao, J., & Pei, G. (2008) · Cell Research · doi:10.1038/cr.2008.89 · Cited by 11 · see citing works
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- [70]Melchor JP Pawlak R Strickland S 2003 The tissue plasminogen activator-plasminogen proteolytic cascade accelerates amyloid-beta (Abeta) degradation and inhibits Abeta-induced neurodegeneration J Neurosci 23 8867 8871 14523088 PMC6740393
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Hopperton, K. E., Mohammad, D., Trépanier, M. O., Giuliano, V, & Bazinet, R. P. (2018) · Molecular Psychiatry · doi:10.1038/mp.2017.246 · Cited by 567 · see citing works
Bennett, R. E., Robbins, A. B., Hu, M., Cao, X., Betensky, R. A., Clark, T., Das, S., & Hyman, B. T. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1710329115 · Cited by 299 · see citing works
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Wu, Y.-Y., & Kuo, H.-C. (2020) · Journal of Biomedical Science · doi:10.1186/s12929-020-00636-z · Cited by 213 · see citing works
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Shi, Z.-M., Han, Y.-W., Han, X.-H., Zhang, K., Chang, Y.-N., Hu, Z.-M., Qi, H.-X., Ting, C., Zhen, Z., & Hong, W. (2016) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2016.05.022 · Cited by 125 · see citing works
Xu, J., Mao, C., Hou, Y., Luo, Y., Binder, J. L., Zhou, Y., Bekris, L. M., Shin, J., Hu, M., Wang, F., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111717 · Cited by 115 · see citing works
Ivashko-Pachima, Y., Hadar, A., Grigg, I., Korenková, V., Kapitansky, O., Karmon, G., Gershovits, M., Sayas, C. L., Kooy, R. F., Attems, J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-019-0563-5 · Cited by 107 · see citing works
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Gu, C., Chen, C., Wu, R., Dong, T., Hu, X., Yao, Y., & Zhang, Y. (2018) · DNA and Cell Biology · doi:10.1089/dna.2017.4012 · Cited by 101 · see citing works
Emerging roles for ncRNAs in alcohol use disorders
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- Authors
- Magistri, M., Velmeshev, D., Makhmutova, M., & Faghihi, M. A.
- Affiliations
- University of Miami (US)
- Corresponding author
- Faghihi, Mohammad Ali
- Venue
- Journal of Alzheimer's Disease
- Publisher
- SAGE Publications
- Published
- 2015-10-01
- Volume
- 48
- Issue
- 3
- Pages
- 647-665
- ISSN
- 1387-2877 (ISSN-L)
- 1875-8908
- PMC
- PMC4698155
- OpenAlex
- W2255215236
- Cited by
- 175
- References
- 75
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 17 · 2023: 16 · 2022: 18 · 2021: 23 · 2020: 25 · 2019: 21 · 2018: 24 · 2017: 10 · 2016: 7
- FWCI
- 10.07
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Alzheimer s Disease (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- National Institutes of Health
- National Institute of Neurological Disorders and Stroke (US NIH NINDS R01NS081208-01A1, R01NS081208)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- late-onset Alzheimer's disease, transcriptomics
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Female, Hippocampus, Homeostasis, Humans, Male, Amyloid beta-Peptides, Sequence Analysis, RNA, Gene Expression Profiling, Transcriptome, Real-Time Polymerase Chain Reaction, RNA, Long Noncoding
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 ›
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