Identification of Conserved Proteomic Networks in Neurodegenerative Dementia
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Abstract
Summary Data-driven analyses of human brain across neurodegenerative diseases possess the potential for identifying disease-specific and shared biological processes. We integrated functional genomics data from postmortem brain, including label-free quantitative proteomics and RNA-seq based transcriptomics in an unprecedented dataset of over 1000 individuals across 5 cohorts representing Alzheimer’s disease (AD), asymptomatic AD, Progressive Supranuclear Palsy (PSP), and control patients, as a core analysis of the Accelerating Medicines Project – Alzheimer’s Disease (AMP-AD) consortium. We identified conserved, high confidence proteomic changes during the progression of dementias that were absent in other neurodegenerative disorders. We defined early changes in asymptomatic AD cases that included microglial, astrocyte, and immune response modules and later changes related to synaptic processes and mitochondria, many, but not all of which were conserved at the transcriptomic level. This included a novel module C3, which is enriched in MAPK signaling, and only identified in proteomic networks. To understand the relationship of core molecular processes with causal genetic drivers, we identified glial, immune, and cell-cell interaction processes in modules C8 and C10, which were robustly preserved in multiple independent data sets, up-regulated early in the disease course, and enriched in AD common genetic risk. In contrast to AD, PSP genetic risk was enriched in module C1, which represented synaptic processes, clearly demonstrating that despite shared pathology such as synaptic loss and glial inflammatory changes, AD and PSP have distinct causal drivers. These conserved, high confidence proteomic changes enriched in genetic risk represent new targets for drug discovery. Highlights We distinguish robust early and late proteomic changes in AD in multiple cohorts. We identify changes in dementias that are not preserved in other neurodegenerative diseases. AD genetic risk is enriched in early up-regulated glial-immune modules and PSP in synaptic modules. Almost half of the variance in protein expression reflects gene expression, but an equal fraction is post-transcriptional or -translational.
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Co-expression networks have been successful for analyzing bulk proteomics datasets in human disease samples.
“Co-expression networks have been successful for analyzing bulk proteomics datasets in human disease samples,67,68”
From hdWGCNA identifies co-expression networks in high-dimensional transcriptomics data (2023) · cites this paper as [67]
Targets among overlapping modules show highly discordant changes at the protein and RNA levels.
“While differential protein expression within these overlapping modules is reasonably concordant (R~0.5), we have repeatedly observed targets among these modules with highly discordant changes at the protein and RNA levels [62–64].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Nearly a dozen network-based analyses of the AD proteome have been performed in the human brain, including the dorsolateral prefrontal cortex, temporal cortex, and other cortical regions heavily affected in AD.
“Nearly a dozen informative network-based analyses of the AD proteome have been performed in the human brain [62–64, 74, 78, 96, 104–108], including the dorsolateral prefrontal cortex (DLPFC), temporal cortex, and other cortical regions heavily affected in AD.”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Only half of the disease-related variance observed in the AD network proteome is reflected in gene expression at the transcriptome level, with the remainder representing post-transcriptional and post-translational effects.
“Furthermore, only half of the disease-related variance observed in the AD network proteome is reflected in gene expression at the transcriptome level, the remainder representing post-transcriptional and post-translational effects [64].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Differential protein expression within overlapping modules is reasonably concordant (R~0.5).
“While differential protein expression within these overlapping modules is reasonably concordant (R~0.5), we have repeatedly observed targets among these modules with highly discordant changes at the protein and RNA levels [62–64].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
The highly conserved microglial/astrocytic module features hub proteins implicated in neuroprotection, such as moesin.
“This highly conserved module features hub proteins implicated in neuroprotection, such as the membrane receptor-cytoskeleton cross-linking protein moesin (MSN) [62–64, 96].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
The AD brain network proteome features conserved upregulation of oligodendrocyte-enriched modules associated with myelination.
“The AD brain network proteome also features conserved upregulation of oligodendrocyte-enriched modules associated with myelination (Fig. 1).”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
The MSN module is enriched with AD genetic risk factors.
“this study and others have noted that the MSN module is enriched with AD genetic risk factors”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
The MSN module maintains a causal role in disease pathogenesis.
“suggesting it maintains a causal role in disease pathogenesis [62, 64, 74, 96].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Multiple network proteomes have resolved a large module enriched with microglial and astrocytic proteins that demonstrates progressively increasing abundance throughout AsymAD and AD.
“Multiple network proteomes have resolved a large module enriched with microglial and astrocytic proteins that demonstrates progressively increasing abundance levels throughout AsymAD and AD.”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Modules enriched with RNA binding and splicing proteins are consistently upregulated in the AD network proteome.
“Modules enriched with RNA binding and splicing proteins are also consistently upregulated in the AD network proteome (Fig. 1).”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
Proteomic network analyses have demonstrated modest upregulation of a highly conserved oligodendrocyte-enriched myelination module in both asymptomatic and symptomatic disease.
“proteomic network analyses of the AD brain have demonstrated modest upregulation of a highly conserved oligodendrocyte-enriched myelination module in both asymptomatic and symptomatic disease [62–64, 74, 96].”
From Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau (2021) · cites this paper as [64]
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Cites
1 retracted
Antequera, D., Vargas, T., Ugalde, C., Spuch, C., Molina, J. A., Ferrer, I., Bermejo‐Pareja, F., & Carro, E. (2009) · Neurobiology of Disease · doi:10.1016/j.nbd.2009.06.018 · Cited by 64 · see citing works
RetractedR: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206 · see citing works
clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2011.0118 · Cited by 36,259 · see citing works
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890 · see citing works
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 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123 · see citing works
Individual Comparisons by Ranking Methods
Wilcoxon, F. (1945) · Biometrics Bulletin · doi:10.2307/3001968 · Cited by 15,354 · see citing works
Cox, J., & Mann, M. (2008) · Nature Biotechnology · doi:10.1038/nbt.1511 · Cited by 14,855 · see citing works
Staging of brain pathology related to sporadic Parkinson’s disease
Braak, H., Tredici, K. D., Rüb, U., de Vos, R. A. I., Jansen Steur, E. N. H., & Braak, E. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00065-9 · Cited by 10,777 · see citing works
The igraph software package for complex network research
Csárdi, G., & Nepusz, T. (2006) · Medical Entomology and Zoology · Cited by 10,078 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Neurotoxic reactive astrocytes are induced by activated microglia
Liddelow, S. A., Guttenplan, K. A., Clarke, L. E., Bennett, F. C., Bohlen, C. J., Schirmer, L., Bennett, M. L., Münch, A. E., Chung, W.-S., Peterson, T. C., et al. (2017) · Nature · doi:10.1038/nature21029 · Cited by 7,971 · see citing works
Neuroinflammation in Alzheimer's disease
Heneka, M. T., Carson, M. J., Khoury, J. E., Landreth, G. E., Brosseron, F., Feinstein, D. L., Jacobs, A. H., Wyss-Coray, T., Vitorica, J., Ransohoff, R. M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)70016-5 · Cited by 6,226 · see citing works
A General Framework for Weighted Gene Co-Expression Network Analysis
Zhang, B., & Horvath, S. (2005) · Statistical Applications in Genetics and Molecular Biology · doi:10.2202/1544-6115.1128 · Cited by 5,684 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
(2008) · doi:10.1038/nrg2290 · Cited by 5,199 · 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
The Gene Ontology Resource: 20 years and still GOing strong
The Gene Ontology Consortium (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1055 · Cited by 4,747 · see citing works
Goate, A., Chartier-Harlin, M.-C., Mullan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., et al. (1991) · Nature · doi:10.1038/349704a0 · Cited by 4,659 · see citing works
Alzheimer's Disease Is a Synaptic Failure
Selkoe, D. J. (2002) · Science · doi:10.1126/science.1074069 · Cited by 4,420 · see citing works
Terry, R. D., Masliah, E., Salmon, D. P., Butters, N., DeTeresa, R., Hill, R., Hansen, L. A., & Katzman, R. (1991) · Annals of Neurology · doi:10.1002/ana.410300410 · Cited by 4,397 · 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
MAGMA: Generalized Gene-Set Analysis of GWAS Data
de Leeuw, C. A., Mooij, J. M., Heskes, T., & Posthuma, D. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004219 · Cited by 3,653 · see citing works
Protein aggregation and neurodegenerative disease
Ross, C. A., & Poirier, M. A. (2004) · Nature Medicine · doi:10.1038/nm1066 · Cited by 3,454 · see citing works
Complement and microglia mediate early synapse loss in Alzheimer mouse models
Hong, S., Beja-Glasser, V. F., Nfonoyim, B. M., Frouin, A., Li, S., Ramakrishnan, S., Merry, K. M., Shi, Q., Rosenthal, A., Barres, B. A., et al. (2016) · Science · doi:10.1126/science.aad8373 · Cited by 3,343 · see citing works
Hopkins, A. L., & Groom, C. R. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd892 · Cited by 3,305 · see citing works
Hyman, B. T., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Carrillo, M. C., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., et al. (2012) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.10.007 · Cited by 3,092 · see citing works
On the Interpretation of χ 2 from Contingency Tables, and the Calculation of P
Fisher, R. A. (1922) · Journal Of The Royal Statistical Society · doi:10.2307/2340521 · Cited by 2,975 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Consortium to Establish a Registry for Alzheimer's Disease (CERAD)
Fillenbaum, G., & Heyman, A. (2002) · doi:10.1002/0470846410.ch42(iii · Cited by 2,859 · see citing works
Pathological roles of MAPK signaling pathways in human diseases
Kim, E. K., & Choi, E.-J. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2009.12.009 · Cited by 2,472 · see citing works
2019 Alzheimer’s disease facts and figures.
Alzheimer's Association (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.01.010 · Cited by 2,461 · see citing works
Post-transcriptional gene regulation by mRNA modifications
Zhao, B. S., Roundtree, I. A., & He, C. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.132 · Cited by 2,418 · see citing works
Synapse loss in frontal cortex biopsies in Alzheimer's disease: Correlation with cognitive severity
DeKosky, S. T., & Scheff, S. W. (1990) · Annals of Neurology · doi:10.1002/ana.410270502 · Cited by 2,376 · see citing works
Zhang, Y., Sloan, S. A., Clarke, L. E., Caneda, C., Plaza, C. A., Blumenthal, P. D., Vogel, H., Steinberg, G. K., Edwards, M. S. B., Li, G., et al. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.013 · Cited by 2,295 · see citing works
The Cellular Phase of Alzheimer’s Disease
De Strooper, B., & Karran, E. (2016) · Cell · doi:10.1016/j.cell.2015.12.056 · Cited by 1,990 · see citing works
Microglia in Alzheimer’s disease
Hansen, D. V., Hanson, J. E., & Sheng, M. (2018) · Journal of Cell Biology · doi:10.1083/jcb.201709069 · Cited by 1,935 · cited 1× · see citing works
“, 2015) and microglial (Bachiller et al., 2018; Fernández-Botrán et al., 2011; Hansen et al., 2018; Ishizawa and Dickson, 2001; Navarro et al., 2018; Radford et al., 2015) upregulation in the pathogenesis of all of these diseases, their time course and the enrichment of genetic risk in all three early disease-associat…”
ResultTREM2 Lipid Sensing Sustains the Microglial Response in an Alzheimer’s Disease Model
Wang, Y., Cella, M., Mallinson, K., Ulrich, J. D., Young, K. L., Robinette, M. L., Gilfillan, S., Krishnan, G. M., Sudhakar, S., Zinselmeyer, B. H., et al. (2015) · Cell · doi:10.1016/j.cell.2015.01.049 · Cited by 1,736 · see citing works
Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer’s Disease
Zhang, B., Gaiteri, C., Bodea, L.-G., Wang, Z., McElwee, J., Podtelezhnikov, A. A., Zhang, C., Xie, T., Tran, L., Dobrin, R., et al. (2013) · Cell · doi:10.1016/j.cell.2013.03.030 · Cited by 1,657 · see citing works
NLRP3 inflammasome activation drives tau pathology
Ising, C., Venegas, C., Zhang, S., Scheiblich, H., Schmidt, S. V., Vieira-Saecker, A., Schwartz, S., Albasset, S., McManus, R. M., Tejera, D., et al. (2019) · Nature · doi:10.1038/s41586-019-1769-z · Cited by 1,487 · see citing works
RNA‐binding proteins and post‐transcriptional gene regulation
Glisovic, T., Bachorik, J. L., Yong, J., & Dreyfuss, G. (2008) · FEBS Letters · doi:10.1016/j.febslet.2008.03.004 · Cited by 1,398 · see citing works
Genetics of Parkinson's DiseasePreprint
Klein, C., & Westenberger, A. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a008888 · Cited by 1,370 · see citing works
Student (1908) · Biometrika · doi:10.1093/biomet/6.1.1 · Cited by 1,363 · see citing works
Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357 · see citing works
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247 · see citing works
Self-citationProtein regulation by monoubiquitin
Hicke, L. (2001) · Nature Reviews Molecular Cell Biology · doi:10.1038/35056583 · Cited by 1,213 · see citing works
Clinical Neurology and Epidemiology of the Major Neurodegenerative DiseasesPreprint
Erkkinen, M. G., Kim, M., & Geschwind, M. D. (2017) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a033118 · Cited by 1,152 · see citing works
ARUK Consortium, Sims, R., GERAD/PERADES, C., van der Lee, S. J., Naj, A. C., Bellenguez, C., Badarinarayan, N., Jakobsdottir, J., Kunkle, B. W., Boland, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3916 · Cited by 1,126 · see citing works
A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk loci
Chang, D., Nalls, M. A., Hallgrímsdóttir, I. B., Hunkapiller, J., van der Brug, M., Cai, F., International Parkinson's Disease Genomics Consortium, 23andMe Research Team, Kerchner, G. A., Ayalon, G., et al. (2017) · Nature Genetics · doi:10.1038/ng.3955 · Cited by 1,112 · see citing works
The hnRNP family: insights into their role in health and disease
Geuens, T., Bouhy, D., & Timmerman, V. (2016) · Human Genetics · doi:10.1007/s00439-016-1683-5 · Cited by 1,096 · see citing works
Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap
Gandal, M. J., Haney, J. R., Parikshak, N. N., Leppa, V., Ramaswami, G., Hartl, C., Schork, A. J., Appadurai, V., Buil, A., Werge, T. M., et al. (2018) · Science · doi:10.1126/science.aad6469 · Cited by 1,095 · see citing works
Self-citationCompromised MAPK signaling in human diseases: an update
Kim, E., & Choi, E. (2015) · Archives of Toxicology · doi:10.1007/s00204-015-1472-2 · Cited by 1,017 · see citing works
A harmonized classification system for FTLD-TDP pathology
Mackenzie, I. R., Neumann, M., Baborie, A., Sampathu, D. M., du Plessis, D., Jaros, E., Perry, R. H., Trojanowski, J. Q., Mann, D. M. A., & Lee, V. M. ‐. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0845-8 · Cited by 1,013 · see citing works
Is My Network Module Preserved and Reproducible?
Langfelder, P., Luo, R., Oldham, M. C., & Horvath, S. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1001057 · Cited by 1,012 · see citing works
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001 · see citing works
Self-citationA human phenome-interactome network of protein complexes implicated in genetic disorders
Lage, K., Karlberg, E., Størling, Z. M., Olason, P., Pedersen, A., Rigina, O., Hinsby, A., Tümer, Z., Pociot, F., Tommerup, N., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1295 · Cited by 973 · see citing works
The neuropathology of probable Alzheimer disease and mild cognitive impairment
Schneider, J. A., Arvanitakis, Z., Leurgans, S. E., & Bennett, D. A. (2009) · Annals of Neurology · doi:10.1002/ana.21706 · Cited by 935 · see citing works
Astrocyte reactivity and reactive astrogliosis: costs and benefits
Pekny, M., & Pekna, M. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2013 · Cited by 934 · see citing works
NF-kappaB Signaling Pathways in Neurological Inflammation: A Mini Review
Shih, R., Wang, C.-Y., & Yang, C. (2015) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2015.00077 · Cited by 912 · see citing works
Teng, E. L., Hasegawa, K., Homma, A., Imai, Y., Larson, E. B., Graves, A. B., Sugimoto, K., Yamaguchi, T., Sasaki, H., Chiu, D., et al. (1994) · International Psychogeriatrics · doi:10.1017/s1041610294001602 · Cited by 910 · see citing works
A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012
Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.6807 · Cited by 910 · see citing works
Eigengene networks for studying the relationships between co-expression modules
Langfelder, P., & Horvath, S. (2007) · BMC Systems Biology · doi:10.1186/1752-0509-1-54 · Cited by 867 · see citing works
Hauw, J., Daniel, S. E., Dickson, D. W., Horoupian, D. S., Jellinger, K. A., Lantos, P. L., McKee, A. C., Tabaton, M., & Litvan, I. (1994) · Neurology · doi:10.1212/wnl.44.11.2015 · Cited by 854 · see citing works
Mitochondria and Mitochondrial Cascades in Alzheimer’s disease
Swerdlow, R. H. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170585 · Cited by 850 · see citing works
Translational Control by MAPK Signaling in Long-Term Synaptic Plasticity and Memory
Kelleher, R. J., Govindarajan, A., Jung, H.-Y., Kang, H., & Tonegawa, S. (2004) · Cell · doi:10.1016/s0092-8674(04)00115-1 · Cited by 845 · see citing works
Brain cell type–specific enhancer–promoter interactome maps and disease <b>-</b> risk association
Nott, A., Holtman, I. R., Coufal, N. G., Schlachetzki, J. C. M., Yu, M., Hu, R., Han, C. Z., Pena, M., Xiao, J., Wu, Y., et al. (2019) · Science · doi:10.1126/science.aay0793 · Cited by 823 · see citing works
Mitochondrial dysfunction is a trigger of Alzheimer's disease pathophysiology
Moreira, P. I., Carvalho, C., Zhu, X., Smith, M. A., & Perry, G. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2009.10.006 · Cited by 734 · see citing works
Beyond the gap: functions of unpaired connexon channels
Goodenough, D. A., & Paul, D. L. (2003) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1072 · Cited by 729 · see citing works
Neurodegenerative diseases: a decade of discoveries paves the way for therapeutic breakthroughs
Forman, M. S., Trojanowski, J. Q., & Lee, V. M.-Y. (2004) · Nature Medicine · doi:10.1038/nm1113 · Cited by 715 · see citing works
Readhead, B., Haure-Mirande, J.-V., Funk, C. C., Richards, M. A., Shannon, P., Haroutunian, V., Sano, M., Liang, W. S., Beckmann, N. D., Price, N. D., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.05.023 · Cited by 708 · see citing works
Microglia in Neurological Diseases: A Road Map to Brain-Disease Dependent-Inflammatory Response
Bachiller, S., Jiménez-Ferrer, I., Paulus, A., Yang, Y., Swanberg, M., Deierborg, T., & Boza‐Serrano, A. (2018) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2018.00488 · Cited by 706 · see citing works
Less label, more free: Approaches in label‐free quantitative mass spectrometry
Neilson, K. A., Ali, N., Muralidharan, S., Mirzaei, M., Mariani, M., Assadourian, G., Lee, A., Sluyter, S. C. V., & Haynes, P. A. (2011) · PROTEOMICS · doi:10.1002/pmic.201000553 · Cited by 701 · see citing works
Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism
Parikshak, N. N., Swarup, V., Belgard, T. G., Irimia, M., Ramaswami, G., Gandal, M. J., Hartl, C., Leppa, V., Ubieta, L. D. L. T., Huang, J., et al. (2016) · Nature · doi:10.1038/nature20612 · Cited by 685 · cited 1× · see citing works
“Since genetic variation associated with disease is causal in this regard, we next integrated genome-wide association studies (GWAS), so as to understand each module’s relationship to potential causal mechanisms (Gandal et al., 2018a; Parikshak et al., 2016).”
BackgroundSelf-citationClinical, genetic and pathological heterogeneity of frontotemporal dementia: A review
Seelaar, H., Rohrer, J. D., Pijnenburg, Y. A. L., Fox, N. C., & van Swieten, J. C. (2011) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2010.212225 · Cited by 609 · see citing works
Arendt, T., Stieler, J. T., & Holzer, M. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2016.08.018 · Cited by 609 · see citing works
Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy
PSP Genetics Study Group, Höglinger, G. U., Melhem, N. M., Dickson, D. W., Sleiman, P. M. A., Wang, L.-S., Klei, L., Rademakers, R., de Silva, R., Litvan, I., et al. (2011) · Nature Genetics · doi:10.1038/ng.859 · Cited by 603 · see citing works
Late onset Alzheimer’s disease genetics implicates microglial pathways in disease risk
Efthymiou, A. G., & Goate, A. M. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0184-x · Cited by 562 · see citing works
Tabb, D. L., Vega-Montoto, L., Rudnick, P. A., Variyath, A. M., Ham, A.-J. L., Bunk, D. M., Kilpatrick, L. E., Billheimer, D. D., Blackman, R. K., Cardasis, H. L., et al. (2010) · Journal of Proteome Research · doi:10.1021/pr9006365 · Cited by 551 · see citing works
Colacurcio, D. J., & Nixon, R. A. (2016) · Ageing Research Reviews · doi:10.1016/j.arr.2016.05.004 · Cited by 548 · see citing works
DGIdb: mining the druggable genome
Griffith, M., Griffith, O. L., Coffman, A. C., Weible, J. V., McMichael, J. F., Spies, N. C., Koval, J., Das, I., Callaway, M. B., Eldred, J. M., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2689 · Cited by 527 · see citing works
González-Reyes, R. E., Nava-Mesa, M. O., Vargas-Sánchez, K., Ariza-Salamanca, D. F., & Mora-Muñoz, L. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00427 · Cited by 525 · see citing works
Mostafavi, S., Gaiteri, C., Sullivan, S. E., White, C. C., Tasaki, S., Xu, J., Taga, M., Klein, H.-U., Patrick, E., Komashko, V., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0154-9 · Cited by 509 · see citing works
Heckmann, B. L., Teubner, B. J. W., Tummers, B., Boada-Romero, E., Harris, L., Yang, M., Guy, C. S., Zakharenko, S. S., & Green, D. R. (2019) · Cell · doi:10.1016/j.cell.2019.05.056 · Cited by 503 · see citing works
Molecular interrogation of hypothalamic organization reveals distinct dopamine neuronal subtypes
Romanov, R. A., Zeisel, A., Bakker, J., Girach, F., Hellysaz, A., Tomer, R., Alpár, A., Mulder, J., Clotman, F., Keimpema, E., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4462 · Cited by 502 · see citing works
Contribution of glial cells to the development of amyloid plaques in Alzheimer’s disease
Nagele, R. G., Węgiel, J., Venkataraman, V., Imaki, H., Wang, K.-C., & Wegiel, J. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.01.007 · Cited by 497 · see citing works
Invited review: Neuropathology of tauopathies: principles and practice
Kovacs, G. G. (2015) · Neuropathology and Applied Neurobiology · doi:10.1111/nan.12208 · Cited by 492 · see citing works
Seyfried, N. T., Dammer, E. B., Swarup, V., Nandakumar, D., Duong, D. M., Yin, L., Deng, Q., Nguyen, T., Hales, C. M., Wingo, T., et al. (2017) · Cell Systems · doi:10.1016/j.cels.2016.11.006 · Cited by 477 · see citing works
Self-citationAllen, M., Carrasquillo, M. M., Funk, C., Heavner, B. D., Zou, F., Younkin, C. S., Burgess, J. D., Chai, H.-S., Crook, J., Eddy, J. A., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.89 · Cited by 439 · see citing works
Golde, T. E., Estus, S., Usiak, M., Younkin, L. H., & Younkin, S. G. (1990) · Neuron · doi:10.1016/0896-6273(90)90100-t · Cited by 431 · see citing works
Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders
Parikshak, N. N., Gandal, M. J., & Geschwind, D. H. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3934 · Cited by 430 · cited 4× · see citing works
“A powerful approach to provide a data-driven framework for connecting genetic risk to disease pathways is gene network analysis, which leverages gene co-expression to improve mechanistic models of pathophysiology (Parikshak et al., 2015).”
BackgroundInfluentialSelf-citationRaj, T., Li, Y. I., Wong, G., Humphrey, J., Wang, M., Ramdhani, S., Wang, Y.-C., Ng, B., Gupta, I., Haroutunian, V., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0238-1 · Cited by 430 · see citing works
Microtubule-associated protein tau in development, degeneration and protection of neurons
Wang, J., & Liu, F. (2008) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2008.03.002 · Cited by 395 · see citing works
The Role of Mitogen-Activated Protein Kinase Pathways in Alzheimer’s Disease
Zhu, X., Lee, H., Raina, A. K., Perry, G. L., & Smith, M. A. (2002) · Neurosignals · doi:10.1159/000067426 · Cited by 393 · see citing works
Neuropathology of variants of progressive supranuclear palsy
Dickson, D. W., Ahmed, Z., Algom, A. A., Tsuboi, Y., & Josephs, K. A. (2010) · Current Opinion in Neurology · doi:10.1097/wco.0b013e32833be924 · Cited by 386 · see citing works
A Systems Level Analysis of Transcriptional Changes in Alzheimer's Disease and Normal Aging
Miller, J. A., Oldham, M. C., & Geschwind, D. H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.4098-07.2008 · Cited by 385 · see citing works
Self-citationRegulation by S-Nitrosylation of Protein Post-translational Modification
Hess, D. T., & Stamler, J. S. (2011) · Journal of Biological Chemistry · doi:10.1074/jbc.r111.285742 · Cited by 385 · see citing works
Frontotemporal dementia and its subtypes: a genome-wide association study
Ferrari, R., Hernandez, D. G., Nalls, M. A., Rohrer, J. D., Ramasamy, A., Kwok, J. B. J., Dobson-Stone, C., Brooks, W. S., Schofield, P. R., Halliday, G. M., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70065-1 · Cited by 383 · see citing works
Targeting p38 MAPK pathway for the treatment of Alzheimer's disease
Munoz, L., & Ammit, A. J. (2009) · Neuropharmacology · doi:10.1016/j.neuropharm.2009.11.010 · Cited by 370 · see citing works
A Systems-Level Analysis of the Peripheral Nerve Intrinsic Axonal Growth Program
Chandran, V., Coppola, G., Nawabi, H., Omura, T., Versano, R., Huebner, E. A., Zhang, A., Costigan, M., Yekkirala, A. S., Barrett, L. B., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.034 · Cited by 351 · see citing works
Self-citationAttenuating astrocyte activation accelerates plaque pathogenesis in APP/PS1 mice
Kraft, A. W., Hu, X., Yoon, H., Yan, P., Xiao, Q., Wang, Y., Gil, S. C., Brown, J., Wilhelmsson, U., Restivo, J. L., et al. (2013) · The FASEB Journal · doi:10.1096/fj.12-208660 · Cited by 324 · cited 2× · see citing works
“In vivo studies have been contradictory as AD mice lacking GFAP and VIM had both increased Aβ in one study (Kraft et al., 2013) and no change in amyloid β staining in another (Kamphuis et al., 2015).”
BackgroundLee, J. K., & Kim, N. (2017) · Molecules · doi:10.3390/molecules22081287 · Cited by 323 · see citing works
Wang, M., Roussos, P., McKenzie, A., Zhou, X., Kajiwara, Y., Brennand, K. J., De Luca, G. C., Crary, J. F., Casaccia, P., Buxbaum, J. D., et al. (2016) · Genome Medicine · doi:10.1186/s13073-016-0355-3 · Cited by 314 · see citing works
When is hub gene selection better than standard meta-analysis?
Langfelder, P., Mischel, P. S., & Horvath, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061505 · Cited by 313 · see citing works
Erratum: Unexplored therapeutic opportunities in the human genome
Oprea, T. I., Bologa, C., Brunak, S., Campbell, A., Gan, G. N., Gaulton, A., Gomez, S. M., Guha, R., Hersey, A., Holmes, J., et al. (2018) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2018.52 · Cited by 304 · see citing works
Davidson, Y. S., Kelley, T., Mackenzie, I. R., Pickering-Brown, S. M., du Plessis, D., Neary, D., Snowden, J. S., & Mann, D. M. A. (2007) · Acta Neuropathologica · doi:10.1007/s00401-006-0189-y · Cited by 299 · see citing works
Deciphering the astrocyte reaction in Alzheimer's disease
Perez-Nievas, B. G., & Serrano-Pozo, A. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00114 · Cited by 282 · see citing works
Localization of Alzheimer βA4 amyloid precursor protein at central and peripheral synaptic sites
SCHUBERT, W. J., Prior, R., Weidemann, A., Dircksen, H., Multhaup, G., Masters, C. L., & Beyreuther, K. T. (1991) · Brain Research · doi:10.1016/0006-8993(91)91532-6 · Cited by 265 · see citing works
Coppola, G., Chinnathambi, S., Lee, J. J., Dombroski, B. A., Baker, M. C., Soto-Ortolaza, A. I., Lee, S. E., Klein, E., Huang, A. Y., Sears, R., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds161 · Cited by 240 · see citing works
Self-citationEmerging Concepts in Alzheimer's Disease
Vinters, H. V. (2014) · Annual Review of Pathology Mechanisms of Disease · doi:10.1146/annurev-pathol-020712-163927 · Cited by 232 · see citing works
Microglia in Alzheimer’s Disease: Activated, Dysfunctional or Degenerative
Navarro, V., Sanchez-Mejias, E., Jimenez, S., Muñoz-Castro, C., Sanchez-Varo, R., Davila, J. C., Vizuete, M., Gutierrez, A., & Vitorica, J. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00140 · Cited by 229 · see citing works
Mechanisms of Mitochondrial Dysfunction in Alzheimer’s Disease
Cadonic, C., Sabbir, M. G., & Albensi, B. C. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9515-5 · Cited by 226 · see citing works
Johnson, E. C. B., Dammer, E. B., Duong, D. M., Yin, L., Thambisetty, M., Troncoso, J. C., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0282-4 · Cited by 225 · cited 3× · see citing works
“Cell biological investigations have shown that Gja1-/- astrocytes co-cultured with neurons improved neuronal survival (Kajiwara et al., 2018) and hemichannel blockers were beneficial in murine AD models (Yi et al.”
BackgroundSelf-citationGlobal quantitative analysis of the human brain proteome in Alzheimer’s and Parkinson’s Disease
Ping, L., Duong, D. M., Yin, L., Gearing, M., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · Scientific Data · doi:10.1038/sdata.2018.36 · Cited by 221 · see citing works
Self-citationSynaptic markers of cognitive decline in neurodegenerative diseases: a proteomic approach
Bereczki, E., Branca, R. M., Francis, P. T., Pereira, J. B., Baek, J.-H., Hortobágyi, T., Winblad, B., Ballard, C., Lehtiö, J., & Aarsland, D. (2018) · Brain · doi:10.1093/brain/awx352 · Cited by 220 · see citing works
Annexin A1: A Central Player in the Anti-Inflammatory and Neuroprotective Role of Microglia
McArthur, S., Cristante, E., Paterno, M., Christian, H., Roncaroli, F., Gillies, G. E., & Solito, E. (2010) · The Journal of Immunology · doi:10.4049/jimmunol.1001095 · Cited by 209 · see citing works
Ishizawa, K., & Dickson, D. W. (2001) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/60.6.647 · Cited by 209 · see citing works
Tran, C. T. L., Fox, M. F., Vallance, P. J., & LEIPER, J. M. (2000) · Genomics · doi:10.1006/geno.2000.6262 · Cited by 198 · see citing works
Hoshikawa, Y., Kwon, H. J., Yoshida, M., Horinouchi, S., & Beppu, T. (1994) · Experimental Cell Research · doi:10.1006/excr.1994.1248 · Cited by 188 · see citing works
The pre-synaptic vesicle protein synaptotagmin is a novel biomarker for Alzheimer’s disease
Öhrfelt, A., Brinkmalm, A., Dumurgier, J., Brinkmalm, G., Hansson, O., Zetterberg, H., Bouaziz-Amar, E., Hugon, J., Paquet, C., & Blennow, K. (2016) · Alzheimer's Research & Therapy · doi:10.1186/s13195-016-0208-8 · Cited by 184 · see citing works
Eckert, A., Schmitt, K., & Götz, J. (2011) · Alzheimer's Research & Therapy · doi:10.1186/alzrt74 · Cited by 177 · see citing works
Hodes, R. J., & Buckholtz, N. S. (2015) · Expert Opinion on Therapeutic Targets · doi:10.1517/14728222.2016.1135132 · Cited by 177 · see citing works
Target-Selective Protein S-Nitrosylation by Sequence Motif Recognition
Jia, J., Arif, A., Terenzi, F., Willard, B. B., Plow, E. F., Hazen, S. L., & Fox, P. L. (2014) · Cell · doi:10.1016/j.cell.2014.09.032 · Cited by 176 · see citing works
Zhang, Q., Ma, C., Gearing, M., Wang, P. G., Chin, L.-S., & Li, L. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0524-2 · Cited by 165 · see citing works
Clare, R., King, V. G., Wirenfeldt, M., & Vinters, H. V. (2010) · Journal of Neuroscience Research · doi:10.1002/jnr.22392 · Cited by 163 · see citing works
Genetics of Frontotemporal Dementia
Olszewska, D. A., Lonergan, R. M., Fallon, E., & Lynch, T. (2016) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-016-0707-9 · Cited by 156 · see citing works
Kamphuis, W., Kooijman, L., Orre, M., Stassen, O., Pekny, M., & Hol, E. M. (2015) · Glia · doi:10.1002/glia.22800 · Cited by 155 · see citing works
McKenzie, A. T., Moyon, S., Wang, M., Katsyv, I., Song, W.-M., Zhou, X., Dammer, E. B., Duong, D. M., Aaker, J., Zhao, Y., et al. (2017) · Molecular Neurodegeneration · doi:10.1186/s13024-017-0219-3 · Cited by 154 · see citing works
Self-citationCLIC1 Function Is Required for β-Amyloid-Induced Generation of Reactive Oxygen Species by Microglia
Milton, R. H., Abeti, R., Averaimo, S., Debiasi, S., Vitellaro‐Zuccarello, L., Jiang, L., Curmi, P. M. G., Breit, S. N., Duchen, M. R., & Mazzanti, M. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.2431-08.2008 · Cited by 148 · see citing works
The Test of Significance for the Correlation Coefficient
Pearson, E. S. (1931) · Journal of the American Statistical Association · doi:10.1080/01621459.1931.10503208 · Cited by 147 · see citing works
Conserved brain myelination networks are altered in Alzheimer’s and other neurodegenerative diseases
Allen, M., Wang, X., Burgess, J. D., Watzlawik, J., Serie, D. J., Younkin, C. S., Nguyen, T., Malphrus, K. G., Lincoln, S., Carrasquillo, M. M., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.09.012 · Cited by 143 · see citing works
Self-citationGenetic overlap between Alzheimer’s disease and Parkinson’s disease at the MAPT locus
Desikan, R. S., Schork, A. J., Wang, Y., Witoelar, A., Sharma, M., McEvoy, L. K., Holland, D., Brewer, J. B., Chen, C., Thompson, W. K., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2015.6 · Cited by 141 · see citing works
Label-Free Quantitative LC–MS Proteomics of Alzheimer’s Disease and Normally Aged Human Brains
Andreev, V. P., Petyuk, V., Brewer, H. M., Karpievitch, Y. V., Xie, F., Clarke, J., Camp, D., Smith, R. D., Lieberman, A. P., Albin, R. L., et al. (2012) · Journal of Proteome Research · doi:10.1021/pr3001546 · Cited by 140 · see citing works
T-cell reactivity to multiple myelin antigens in multiple sclerosis patients and healthy controls
Hellings, N., Bar�e, M., Verhoeven, C., D'hooghe, M. B., Medaer, R., Bernard, C. C. A., Raus, J., & Stinissen, P. (2001) · Journal of Neuroscience Research · doi:10.1002/1097-4547(20010201)63:3 · Cited by 138 · see citing works
Differential cell proliferation in the cortex of the appsweps1de9 alzheimer's disease mouse model
Kamphuis, W., Orre, M., Kooijman, L., Dahmen, M., & Hol, E. M. (2012) · Glia · doi:10.1002/glia.22295 · Cited by 137 · see citing works
Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia
Swarup, V., Hinz, F. I., Rexach, J. E., Noguchi, K.-I., Toyoshiba, H., Oda, A., Hirai, K., Sarkar, A., Seyfried, N. T., Cheng, C., et al. (2019) · Nature Medicine · doi:10.1038/s41591-018-0223-3 · Cited by 136 · see citing works
Self-citationLin, Y., Chuang, S., & Yang, J. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m301854200 · Cited by 134 · see citing works
Vosseller, K., Sakabe, K., Wells, L., & Hart, G. W. (2002) · Current Opinion in Chemical Biology · doi:10.1016/s1367-5931(02)00384-8 · Cited by 132 · see citing works
Impact of Alzheimer's pathology on cognitive trajectories in nondemented elderly
Driscoll, I., Resnick, S. M., Troncoso, J. C., An, Y., O'Brien, R., & Zonderman, A. B. (2006) · Annals of Neurology · doi:10.1002/ana.21031 · Cited by 132 · see citing works
PROBABLE ERROR OF A CORRELATION COEFFICIENT
STUDENT (1908) · Biometrika · doi:10.1093/biomet/6.2-3.302 · Cited by 131 · see citing works
Briston, T., & Hicks, A. R. (2018) · Biochemical Society Transactions · doi:10.1042/bst20180025 · Cited by 129 · see citing works
Jones, S. V., & Kounatidis, I. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.01805 · Cited by 128 · see citing works
Targeted brain proteomics uncover multiple pathways to Alzheimer's dementia
Yu, L., Petyuk, V. A., Gaiteri, C., Mostafavi, S., Young‐Pearse, T., Shah, R. C., Buchman, A. S., Schneider, J. A., Piehowski, P. D., Sontag, R. L., et al. (2018) · Annals of Neurology · doi:10.1002/ana.25266 · Cited by 124 · see citing works
Park, J., Baik, S. H., Han, S., Cho, H. J., Choi, H., Kim, H. J., Choi, H., Lee, W., Kim, D. K., & Mook‐Jung, I. (2016) · Aging Cell · doi:10.1111/acel.12530 · Cited by 115 · see citing works
Chen, J., Chen, Z., Won, H., Huang, A., Lowe, J. K., Wojta, K. J., Yokoyama, J. S., Bensimon, G., Leigh, P. N., Payan, C., et al. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0270-8 · Cited by 113 · see citing works
Self-citationGlial Cells - The Key Elements of Alzheimers Disease
Džamba, D., Harantová, L., Butenko, O., & Anděrová, M. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160129095924 · Cited by 112 · see citing works
Jing, R., Wilhelmsson, U., Goodwill, W., Li, L., Pan, Y., Pekny, M., & Skalli, O. (2007) · Journal of Cell Science · doi:10.1242/jcs.03423 · Cited by 110 · see citing works
The anti-inflammatory Annexin A1 induces the clearance and degradation of the amyloid-β peptide
Ries, M., Loiola, R. A., Shah, U. N., Gentleman, S., Solito, E., & Sastre, M. (2016) · Journal of Neuroinflammation · doi:10.1186/s12974-016-0692-6 · Cited by 106 · see citing works
Yi, C., Ezan, P., Fernández, P., Schmitt, J., Sáez, J. C., Giaume, C., & Koulakoff, A. (2017) · Glia · doi:10.1002/glia.23182 · Cited by 104 · see citing works
Radford, R. A. W., Morsch, M., Rayner, S. L., Cole, N. J., Pountney, D. L., & Chung, R. S. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00414 · Cited by 102 · see citing works
Garwood, C. J., Ratcliffe, L. E., Morgan, S. V., Simpson, J. E., Owens, H., Vazquez-Villaseñor, I., Heath, P. R., Romero, I. A., Ince, P. G., & Wharton, S. B. (2015) · Molecular Brain · doi:10.1186/s13041-015-0138-6 · Cited by 101 · see citing works
International FTD-Genomics Consortium (IFGC), Yokoyama, J. S., Karch, C. M., Fan, C. C., Bonham, L. W., Kouri, N., Ross, O. A., Rademakers, R., Kim, J., Wang, Y., et al. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1693-y · Cited by 99 · see citing works
Binding of Gelsolin, a Secretory Protein, to Amyloid β-Protein
Chauhan, V. P. S., Ray, I., Chauhan, A., & Wı́sniewski, H. M. (1999) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1999.0623 · Cited by 97 · see citing works
Genetic variants in Alzheimer disease — molecular and brain network approaches
Gaiteri, C., Mostafavi, S., Honey, C. J., Jager, P. L. D., & Bennett, D. A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.84 · Cited by 96 · see citing works
Post‐transcriptional regulation of the Ras‐ERK/MAPK signaling pathway
Whelan, J. T., Hollis, S., Seok, D., Asch, A. S., & Lee, M. (2011) · Journal of Cellular Physiology · doi:10.1002/jcp.22899 · Cited by 95 · see citing works
CXCR4 involvement in neurodegenerative diseases
Bonham, L. W., Karch, C. M. M., Fan, C. C., Tan, C. H., Geier, E. G., Wang, Y., Wen, N., Broce, I., Li, Y., Barkovich, M. J., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-017-0049-7 · Cited by 95 · see citing works
Cytokine expression and microglial activation in progressive supranuclear palsy
Fernández-Botrán, R., Ahmed, Z., Crespo, F. A., Gatenbee, C., Gonzalez, J., Dickson, D. W., & Litvan, I. (2011) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2011.06.007 · Cited by 93 · see citing works
GJA1 (connexin43) is a key regulator of Alzheimer’s disease pathogenesis
Kajiwara, Y., Wang, E., Wang, M., Sin, W. C., Brennand, K., Schadt, E. E., Naus, C. C. G., Buxbaum, J. D., & Zhang, B. (2018) · Acta Neuropathologica Communications · doi:10.1186/s40478-018-0642-x · Cited by 93 · see citing works
Toward a molecular neuropsychiatry of neurodegenerative diseases
Cummings, J. L. (2003) · Annals of Neurology · doi:10.1002/ana.10616 · Cited by 92 · see citing works
Asymptomatic Alzheimer disease
Hohman, T. J., McLaren, D. G., Mormino, E. C., Gifford, K. A., Libon, D. J., Jefferson, A. L., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., Petersen, R. C., et al. (2016) · Neurology · doi:10.1212/wnl.0000000000003397 · Cited by 83 · see citing works
Quantitative Analysis of the Brain Ubiquitylome in Alzheimer's Disease
Abreha, M. H., Dammer, E. B., Ping, L., Zhang, T., Duong, D. M., Gearing, M., Lah, J. J., Levey, A. I., & Seyfried, N. T. (2018) · PROTEOMICS · doi:10.1002/pmic.201800108 · Cited by 81 · see citing works
Self-citationRay, I., Chauhan, A., Węgiel, J., & Chauhan, V. P. S. (2000) · Brain Research · doi:10.1016/s0006-8993(99)02315-x · Cited by 80 · see citing works
The corticobasal syndrome–Alzheimer’s disease conundrum
Hassan, A., Whitwell, J. L., & Josephs, K. A. (2011) · Expert Review of Neurotherapeutics · doi:10.1586/ern.11.153 · Cited by 80 · see citing works
Agostinho, P., Pliássova, A., Oliveira, C., & Cunha, R. (2015) · Journal of Alzheimer's Disease · doi:10.3233/jad-142730 · Cited by 78 · see citing works
Genetics of Progressive Supranuclear Palsy
Im, S. Y., Kim, Y. E., & Kim, Y. J. (2015) · Journal of Movement Disorders · doi:10.14802/jmd.15033 · Cited by 76 · see citing works
Ramos, J. W., Hughes, P. E., Renshaw, M. W., Schwartz, M. A., Formstecher, É., Chneiweiss, H., & Ginsberg, M. H. (2000) · Molecular Biology of the Cell · doi:10.1091/mbc.11.9.2863 · Cited by 73 · see citing works
Nonselenium Glutathione Peroxidase in Human Brain
Power, J. H. T., Shannon, J. M., Blumbergs, P. C., & Gai, W. (2002) · American Journal Of Pathology · doi:10.1016/s0002-9440(10)64249-6 · Cited by 70 · see citing works
Alternative Splicing in Alzheimer’s Disease
Love, J. E., Hayden, E. J., & Rohn, T. T. (2015) · Journal of Parkinson’s Disease and Alzheimer’s Disease · doi:10.13188/2376-922x.1000010 · Cited by 67 · see citing works
Cortical Synapse Loss in progressive Supranuclear palsy
Bigio, E. H., Vono, M. B., Satumtira, S., Adamson, J. L., Sontag, E., Hynan, L. S., White, C. L., Baker, M. C., & Hutton, M. (2001) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/60.5.403 · Cited by 65 · see citing works
Arnold, S. E., Toledo, J. B., Appleby, D. H., Xie, S. X., Wang, W., Baek, Y., Wolk, D. A., Lee, E. B., Miller, B. L., Lee, V. M. ‐., et al. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23430 · Cited by 61 · see citing works
Adlkofer, K., Naef, R., & Suter, U. (1997) · Journal of Neuroscience Research · doi:10.1002/(sici)1097-4547(19970915)49:6 · Cited by 59 · see citing works
Kamitani, H., Taniura, S., Watanabe, K., Sakamoto, M., Watanabe, T., & Eling, T. E. (2002) · Neuro-Oncology · doi:10.1093/neuonc/4.2.95 · Cited by 58 · see citing works
Yoo, B. C., Cairns, N. J., Fountoulakis, M., & Lübec, G. (2001) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000051261 · Cited by 54 · see citing works
Hirko, A. C., Meyer, E. M., King, M. A., & Hughes, J. A. (2007) · Molecular Therapy · doi:10.1038/sj.mt.6300253 · Cited by 48 · see citing works
Deconstructing and targeting the genomic architecture of human neurodegeneration
Jager, P. L. D., Yang, H., & Bennett, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0240-z · Cited by 46 · see citing works
Logsdon, B. A., Perumal, T. M., Swarup, V., Wang, M., Funk, C. C., Gaiteri, C., Allen, M., Wang, X. B., Dammer, E. B., Srivastava, G. P., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/510420 · Cited by 46 · see citing works
Self-citationSynaptotagmins interact with APP and promote Aβ generation
Gautam, V., D’Avanzo, C., Berezovska, O., Tanzi, R. E., & Kovacs, D. M. (2015) · Molecular Neurodegeneration · doi:10.1186/s13024-015-0028-5 · Cited by 44 · see citing works
A tribute to the Extramural Epidemiology Program, National Institute on Aging
Khachaturian, A. S. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2010.12.001 · Cited by 39 · see citing works
Darmellah, A., Rayah, A., Auger, R., Cuif, M.-H., Prigent, M., Arpin, M., Alcover, A., Delarasse, C., & Kanellopoulos, J. M. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.400010 · Cited by 38 · see citing works
Yang, W., Chauhan, A., Mehta, S. P., Mehta, P. D., Gu, F., & Chauhan, V. P. S. (2014) · Life Sciences · doi:10.1016/j.lfs.2014.01.064 · Cited by 38 · see citing works
Identification of syntaxin 1A as a novel binding protein for presenilin-1
Smith, S. K. F., Anderson, H. A., Yu, G., Robertson, A., Allen, S. J., Tyler, S. J., Naylor, R. L., MASON, G. G. F., Wilcock, G., Roche, P. A., et al. (2000) · Molecular Brain Research · doi:10.1016/s0169-328x(00)00079-6 · Cited by 35 · see citing works
Role of RNA-Binding Proteins in MAPK Signal Transduction Pathway
Sugiura, R., Satoh, R., Ishiwata, S., Umeda, N., & Kita, A. (2011) · Journal of Signal Transduction · doi:10.1155/2011/109746 · Cited by 34 · see citing works
Skaper, S. D., Facci, L., & Giusti, P. (2013) · Neurochemical Research · doi:10.1007/s11064-013-1084-2 · Cited by 16 · see citing works
Lambden, S., Martín, D., Vanezis, K., Lee, B. M., Tomlinson, J. A. P., Piper, S., Boruc, O., Mythen, M. G., & LEIPER, J. M. (2016) · Nitric Oxide · doi:10.1016/j.niox.2016.06.003 · Cited by 15 · see citing works
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Johnson, E. C. B., Dammer, E. B., Duong, D. M., Ping, L., Zhou, M., Yin, L., Higginbotham, L. A., Guajardo, A., White, B., Troncoso, J. C., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0815-6 · Cited by 1,001 · see citing works
Self-citationhdWGCNA identifies co-expression networks in high-dimensional transcriptomics data
Morabito, S., Reese, F., Rahimzadeh, N., Miyoshi, E., & Swarup, V. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100498 · Cited by 773 · see citing works
Self-citationSingle-nucleus chromatin accessibility and transcriptomic characterization of Alzheimer’s disease
Morabito, S., Miyoshi, E., Michael, N., Shahin, S., Martini, A. C., Head, E., Silva, J., Leavy, K., Perez-Rosendahl, M., & Swarup, V. (2021) · Nature Genetics · doi:10.1038/s41588-021-00894-z · Cited by 643 · see citing works
Self-citationAstrocyte contribution to dysfunction, risk and progression in neurodegenerative disorders
Brandebura, A. N., Paumier, A., Onur, T. S., & Allen, N. J. (2023) · Nature Reviews Neuroscience · doi:10.1038/s41583-022-00641-1 · Cited by 427 · see citing works
Higginbotham, L., Ping, L., Dammer, E. B., Duong, D. M., Zhou, M., Gearing, M., Hurst, C., Glass, J. D., Factor, S. A., Johnson, E. C. B., et al. (2020) · Science Advances · doi:10.1126/sciadv.aaz9360 · Cited by 367 · see citing works
Self-citationTau interactome maps synaptic and mitochondrial processes associated with neurodegeneration
Tracy, T. E., Madero‐Pérez, J., Swaney, D. L., Chang, T. S., Moritz, M., Konràd, C., Ward, M. E., Stevenson, E. J., Hüttenhain, R., Kauwe, G., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.041 · Cited by 347 · see citing works
Self-citationAstrocytes in Alzheimer's disease: pathological significance and molecular pathways
Preman, P., Alfonso-Triguero, M., Alberdi, E., Verkhratsky, A., & Arranz, A. M. (2021) · Cells · doi:10.3390/cells10030540 · Cited by 176 · see citing works
Functional regulatory variants implicate distinct transcriptional networks in dementia
Cooper, Y. A., Teyssier, N., Dräger, N. M., Guo, Q., Davis, J. E., Sattler, S. M., Yang, Z., Patel, A. M., Wu, S. J., Kosuri, S., et al. (2022) · Science · doi:10.1126/science.abi8654 · Cited by 120 · see citing works
Self-citationIncorporation of a nucleoside analog maps genome repair sites in postmitotic human neurons
Reid, D. A., Reed, P. J., Schlachetzki, J. C. M., Nitulescu, I. I., Chou, G., Tsui, E. C., Jones, J. R., Chandran, S., Lu, A. T., McClain, C. A., et al. (2021) · Science · doi:10.1126/science.abb9032 · Cited by 121 · see citing works
Altered succinylation of mitochondrial proteins, APP and tau in Alzheimer’s disease
Yang, Y. S., Tapias, V., Acosta, D. M., Xu, H., Chen, H., Bhawal, R. P., Anderson, E. T., Ivanova, E., Lin, H., Sagdullaev, B. T., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27572-2 · Cited by 131 · see citing works
Systems-based proteomics to resolve the biology of Alzheimer’s disease beyond amyloid and tau
Rayaprolu, S., Higginbotham, L., Bagchi, P., Watson, C. M., Zhang, T., Levey, A. I., Rangaraju, S., & Seyfried, N. T. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-020-00840-3 · Cited by 118 · see citing works
Self-citationDiversity of transcriptomic microglial phenotypes in aging and Alzheimer's disease
Boche, D., & Gordon, M. N. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12389 · Cited by 117 · see citing works
Miyoshi, E., Morabito, S., Henningfield, C. M., Das, S., Rahimzadeh, N., Shabestari, S. K., Michael, N., Emerson, N., Reese, F., Shi, Z., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01961-x · Cited by 115 · see citing works
Self-citationRatliff, M., Jazi, K. K., Hoffmann, D. C., Rauschenbach, L., Simon, M., Hai, L., Mandelbaum, H., Schubert, M. C., Keßler, T., Uhlig, S., et al. (2023) · Neuro-Oncology · doi:10.1093/neuonc/noad109 · Cited by 55 · see citing works
Jiang, T., Li, Y., He, S., Huang, N., Du, M., Zhai, Q., Pu, K., Wu, M., Yan, C., Ma, Z., et al. (2023) · EBioMedicine · doi:10.1016/j.ebiom.2023.104653 · Cited by 55 · see citing works
Cary, G. A., Wiley, J. C., Gockley, J., Keegan, S., Amirtha Ganesh, S. S., Heath, L., Butler, R. R., Mangravite, L. M., Logsdon, B. A., Longo, F. M., et al. (2024) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12461 · Cited by 49 · see citing works
Self-citationCross-disorder and disease-specific pathways in dementia revealed by single-cell genomics
Rexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A., Han, X., Yamakawa, M., Yin, A., et al. (2024) · Cell · doi:10.1016/j.cell.2024.08.019 · Cited by 56 · see citing works
Self-citationMcFarland, K. N., & Chakrabarty, P. (2022) · Neurotherapeutics · doi:10.1007/s13311-021-01179-3 · Cited by 48 · see citing works
Psychosocial experiences are associated with human brain mitochondrial biology
Trumpff, C., Monzel, A. S., Sandi, C., Menon, V., Klein, H., Fujita, M., Lee, A., Petyuk, V., Hurst, C. D., Duong, D. M., et al. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2317673121 · Cited by 45 · see citing works
Self-citationHigginbotham, L. A., Carter, E. K., Dammer, E. B., Haque, R. U., Johnson, E. C. B., Duong, D. M., Yin, L., Jager, P. L. D., Bennett, D. A., Felsky, D., et al. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106286 · Cited by 44 · see citing works
Self-citationLi, 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 41 · see citing works
Self-citationCocaine induces paradigm-specific changes to the transcriptome within the ventral tegmental area
Campbell, R. R., Chen, S., Beardwood, J. H., López, A. J., Pham, L. V., Keiser, A. A., Childs, J. E., Matheos, D. P., Swarup, V., Baldi, P., et al. (2021) · Neuropsychopharmacology · doi:10.1038/s41386-021-01031-4 · Cited by 33 · see citing works
Self-citationMapping anorexia nervosa genes to clinical phenotypes
Johnson, J., Cote, A. C., Dobbyn, A. L., Sloofman, L. G., Xu, J., Cotter, L., Charney, A. W., Birgegård, A., Jordan, J., Kennedy, M. A., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291721004554 · Cited by 28 · see citing works
Wang, H., Chang, T. S., Dombroski, B. A., Cheng, P., Patil, V., Valiente‐Banuet, L., Farrell, K. W., McLean, C., Molina‐Porcel, L., Rajput, A. H., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00747-3 · Cited by 35 · see citing works
Self-citationSunna, S. N., Bowen, C. A., Zeng, H., Rayaprolu, S., Kumar, P., Bagchi, P., Dammer, E. B., Guo, Q., Duong, D. M., Bitarafan, S., et al. (2023) · Molecular & Cellular Proteomics · doi:10.1016/j.mcpro.2023.100546 · Cited by 25 · see citing works
Self-citationA systems biology approach for studying neurodegenerative diseases
Lam, S. C. C., Bayraktar, A., Zhang, C., Türkez, H., Nielsen, J., Borén, J., Shoaie, S., Uhlén, M., & Mardinoğlu, A. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.05.010 · Cited by 24 · see citing works
Wang, J. C., Ramaswami, G., & Geschwind, D. H. (2021) · Scientific Reports · doi:10.1038/s41598-021-85061-4 · Cited by 21 · see citing works
Self-citationShantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen‐Plotkin, A. S., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Molecular Neurodegeneration · doi:10.1186/s13024-024-00749-1 · Cited by 22 · see citing works
Self-citationLim, K.-H., Yang, S., Kim, S.-H., Ko, E., Kang, M., & Joo, J.-Y. (2023) · Brain · doi:10.1093/brain/awac451 · Cited by 21 · see citing works
Brain-wide alterations revealed by spatial transcriptomics and proteomics in COVID-19 infection
Zhang, T., Li, Y., Pan, L., Sha, J., Bailey, M., Faure-Kumar, E., Williams, C. K., Wohlschlegel, J., Magaki, S., Niu, C., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00730-z · Cited by 20 · see citing works
Self-citationLysosomal proteomics reveals mechanisms of neuronal APOE4-associated lysosomal dysfunction
Krogsaeter, E., McKetney, J., Valiente‐Banuet, L., Marquez, A., Willis, A., Cakir, Z., Stevenson, E. J., Jang, G. Μ., Rao, A. T., Li, E., et al. (2025) · Autophagy · doi:10.1080/15548627.2025.2576613 · Cited by 22 · see citing works
Self-citationRosenthal, S. B., Wang, H., Shi, D., Liu, C., Abagyan, R. A., McEvoy, L. K., & Chen, C. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009903 · Cited by 16 · see citing works
CSF Proteomics in Patients With Progressive Supranuclear Palsy
Wise, A. B., Li, J., Yamakawa, M., Loureiro, J., Peterson, B. K., Worringer, K. A., Sivasankaran, R., Palma, J., Mitic, L. L., Heuer, H. W., et al. (2024) · Neurology · doi:10.1212/wnl.0000000000209585 · Cited by 14 · see citing works
FYN, SARS-CoV-2, and IFITM3 in the neurobiology of Alzheimer's disease
Vavougios, G. D., Breza, M., Mavridis, T., & Krogfelt, K. A. (2021) · Brain Disorders · doi:10.1016/j.dscb.2021.100022 · Cited by 14 · see citing works
İş, Ö., Min, Y., Wang, X., Oatman, S. R., Daniel, A. A., & Ertekin‐Taner, N. (2024) · Glia · doi:10.1002/glia.24652 · Cited by 13 · see citing works
Wamsley, B., & Geschwind, D. H. (2020) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2020.05.032 · Cited by 11 · see citing works
Self-citationRexach, J. E., Cheng, Y., Chen, L., Polioudakis, D., Lin, L., Mitri, V., Elkins, A. G., Yin, A., Calini, D., Kawaguchi, R., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.29.560245 · Cited by 10 · see citing works
Self-citationLi, S., Roy, E. R., Wang, Y., Watkins, T. A., & Cao, W. (2023) · Molecular Neurobiology · doi:10.1007/s12035-023-03720-1 · Cited by 12 · see citing works
Nelson, R. S., Dammer, E. B., Santiago, J. V., Seyfried, N. T., & Rangaraju, S. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.902146 · Cited by 9 · see citing works
Self-citationMiyoshi, E., Morabito, S., & Swarup, V. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105530 · Cited by 7 · see citing works
Self-citationAbiose, O., Rutledge, J., Losada, P. M., Belloy, M. E., Wilson, E. N., He, Z., Trelle, A. N., Channappa, D., Romero, A., Park, J., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13576 · Cited by 6 · see citing works
Mitochondrial Respiratory Chain Protein Co-Regulation in the Human Brain
Trumpff, C., Owusu-Ansah, E., Klein, H., Lee, A., Petyuk, V., Wingo, T. S., Wingo, A. P., Thambisetty, M., Ferrucci, L., Seyfried, N. T., et al. (2021) · Heliyon · doi:10.1016/j.heliyon.2022.e09353 · Cited by 7 · see citing works
Self-citationWang, H., Chang, T. S., Dombroski, B. A., Cheng, P., Patil, V., Valiente‐Banuet, L., Farrell, K. W., McLean, C., Molina‐Porcel, L., Rajput, A. H., et al. (2023) · medRxiv · doi:10.1101/2023.12.28.23300612 · Cited by 7 · see citing works
Self-citationMulti-omics technologies: Novel tools and methods for assessing nerve injury and regeneration
Zhou, Q., Zhao, Z., Tan, D., Fang, C., Shen, Z., Li, S., & Chen, X. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-25-00610 · Cited by 7 · see citing works
Behrens, L. M. P., Fernandes, G. D. S., Gonçalves, G. F., Nunes, F. V. M., Weimer, R. D., Moreira, J. C. F., & Dorn, M. (2026) · Neuroscience · doi:10.1016/j.neuroscience.2026.01.019 · Cited by 6 · see citing works
Simmonds, E., Leonenko, G., Yaman, Ü., Bellou, E., Myers, A., Morgan, K., Brookes, K. J., Hardy, J., Salih, D. A. M., & Escott‐Price, V. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-03058-9 · Cited by 6 · see citing works
Proteome Network Analysis Identifies Potential Biomarkers for Brain Aging
Short, M. I., Fohner, A. E., Skjellegrind, H. K., Beiser, A., Gonzales, M. M., Satizábal, C. L., Austin, T. R., Longstreth, W. T., Bis, J. C., López, O. L., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230145 · Cited by 5 · see citing works
Fan, F., & Chen, C. (2024) · Critical Reviews in Immunology · doi:10.1615/critrevimmunol.2024051776 · Cited by 6 · see citing works
Proteomic networks of gray and white matter reveal tissue‐specific changes in human tauopathy
Johnson, A. G., Dammer, E. B., Webster, J. A., Duong, D. M., Seyfried, N. T., & Hales, C. M. (2024) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.52134 · Cited by 5 · see citing works
Self-citationDifferences in the soluble and insoluble proteome between primary tauopathies
Kavanagh, T., Balcomb, K., Trgovcevic, S., Nementzik, L. R., Kanshin, E., Halliday, G. M., Ueberheide, B. M., & Drummond, E. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70401 · Cited by 5 · see citing works
Drummond, E., & Pires, G. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.310680 · Cited by 4 · see citing works
Higginbotham, L. A., Carter, K., Dammer, E. B., Haque, R. U., Johnson, E. C. B., Duong, D. M., Yin, L., Jager, P. L. D., Bennett, D. A., Lah, J. J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.22.501017 · Cited by 4 · see citing works
Self-citationXiong, W., Su, Y., Verkhratsky, A., & Yi, C. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110705 · Cited by 3 · see citing works
Leveraging Proteomics to Explore the Molecular Mechanisms of Primary Tauopathies
Nementzik, L. R., Kavanagh, T., Genoud, S., & Drummond, E. (2025) · Journal of Neurochemistry · doi:10.1111/jnc.70270 · Cited by 3 · see citing works
Zhang, X., Yang, J., Meng, X., Zhang, J., Cai, C., Wei, W., Fang, S., Ren, X., Guo, K., Yang, P., et al. (2025) · Phytomedicine · doi:10.1016/j.phymed.2025.157602 · Cited by 3 · see citing works
Strategies for translating proteomics discoveries into drug discovery for dementia
Halder, A., & Drummond, E. (2023) · Neural Regeneration Research · doi:10.4103/1673-5374.373681 · Cited by 3 · see citing works
Li, S., Roy, E. R., Wang, Y., Watkins, T. A., & Cao, W. (2023) · Research Square · doi:10.21203/rs.3.rs-2617457/v1 · Cited by 3 · see citing works
What we have learned to date from the omics approach to non-Alzheimer's dementias
Demırci, M., & Kadırhan, Ö. A. (2022) · Journal of Integrative Neuroscience · doi:10.31083/j.jin2103076 · Cited by 2 · see citing works
Tau and amyloid-β imaging with proteomics and genomics
Chinnathambi, S., Baisya, U., & Ananthanarayana, V. (2026) · Advances in protein chemistry and structural biology · doi:10.1016/bs.apcsb.2026.02.009 · Cited by 1 · see citing works
Bhasha, S., Chintada, V., Munikumar, D. M., Maddineni, J., Nagulavancha, R., Malempati, T., Gadda, S. S., Sankepally, K. K. R., & Pradeepkiran, J. A. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103186 · Cited by 1 · see citing works
The potential of proteomics for in-depth molecular investigations of progressive supranuclear palsy
Romero-Murillo, S., Lee, S., Fernández‐Irigoyen, J., Martínez-Valbuena, I., & Santamaría, E. (2025) · Expert Review of Proteomics · doi:10.1080/14789450.2025.2519466 · Cited by 1 · see citing works
Martínez, P., Patel, H., You, Y., Lopes, D., Amaro, A., Jury, N., Min, Y., Redding‐Ochoa, J., Dutta, S., Rochet, J., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.17.660179 · Cited by 2 · see citing works
Swerdlow, R. H. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.737734695.793575216
Miranda, F. D. (2022) · Psych-Talk · doi:10.53841/bpstalk.2022.1.103.50
Genomics and Transcriptomics of Alzheimer Disease
Vilor‐Tejedor, N., Rodríguez‐Fernández, B., Genius, P., Luckett, E. S., Anastasi, F., Lorenzini, L., Murray, H., Bull, C. J., Clement, M. H. S., Morris, A., et al. (2025) · Springer eBooks · doi:10.1007/978-3-031-80849-4_13
Wittenberg, G. M., Elwood, F., Houghton, A., Mansi, T., Smets, B., & Lovestone, S. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100417
Shantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen-Plotkin, A., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26758102
Self-citationWang, H., Chang, T. S., Dombroski, B. A., Cheng, P.-L., Patil, V., Valiente‐Banuet, L., Farrell, K. W., Mclean, C., Molina‐Porcel, L., Rajput, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26777941
Self-citationShantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen-Plotkin, A., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26507275
Self-citationWang, H., Chang, T. S., Dombroski, B. A., Cheng, P.-L., Patil, V., Valiente‐Banuet, L., Farrell, K. W., Mclean, C., Molina‐Porcel, L., Rajput, A., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26777944
Self-citationShantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen-Plotkin, A., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26507230
Self-citationShantaraman, A., Dammer, E. B., Ugochukwu, O., Duong, D. M., Yin, L., Carter, E. K., Gearing, M., Chen-Plotkin, A., Lee, E. B., Trojanowski, J. Q., et al. (2024) · Figshare · doi:10.6084/m9.figshare.26758099
Self-citationSilva, J. A. C., Gertig, M., Centeno, T. P., Burkhardt, S., Schütz, A., Sananbenesi, F., & Fischer, A. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.08.704661
Conserved RNA–protein modules link early anthracycline responses to atrial fibrillation riskPreprint
Johnson, O. D., Matthews, E. R., Paul, S., Gutiérrez, J. A., Russell, W. K., & Ward, M. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.15.706019
A critical appraisal of the link between apolipoprotein E and Tau
Das, S., Hyman, B. T., & Serrano‐Pozo, A. (2026) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001459
Aksu, R., Lüleci̇, H. B., & Çakır, T. (2026) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-026-01700-2
The Use of Localized Proteomics to Understand the Pathogenesis of Alzheimer's Disease
Pires, G. (2021) · theses.fr (ABES) · doi:10.70675/45826fd6zd2c8z4b3dz91e0za5080544cb17
Chen, Y., Liu, Z., Wang, Y., Lu, W. P., Li, H., Wang, W., Qiu, Z., Qiu, Y., Qing, H., Xie, Y. D., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.15.738841
Ji, C., Zhu, Y., Erdjument‐Bromage, H., Song, S. C., Chang, N., Liu, A. R., Lee, A. R., DeGulis, O. A., Schoppik, D., Neubert, T. A., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.10.05.756807
- Authors
- Swarup, V., Chang, T. S., Duong, D. M., Dammer, E. B., Dai, J., Lah, J. J., Johnson, E. C. B., Seyfried, N. T., Levey, A. I., & Geschwind, D. H.
- Affiliations
- University of California, Los Angeles (US)
- Emory University (US)
- Central South University (CN)
- Corresponding author
- Geschwind, Daniel H.
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 31
- Issue
- 12
- Pages
- 107807
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC8221021
- OpenAlex
- W3036813834
- Cited by
- 78
- References
- 186
- Citations by year
- 2026: 9 · 2025: 10 · 2024: 16 · 2023: 12 · 2022: 12 · 2021: 13 · 2020: 6
- FWCI
- 6.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion, cc-by-nc-nd)
- eScholarship (California Digital Library) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute on Aging
- National Institute of Neurological Disorders and Stroke
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- Alzheimer's disease, progressive supranuclear palsy, neurodegenerative dementia, postmortem brain, proteomic networks, MAPK signaling, microglia, astrocytes, mRNA splicing, mitochondrial dysfunction, disease progression, drug discovery targets, synaptic loss, glial inflammation
- MeSH terms
- Alzheimer Disease, Dementia, Humans, Nerve Degeneration, Risk Factors, Genetic Predisposition to Disease, Proteome, Proteomics, Transcriptome
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