BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Wan YW, Al-Ouran R, Mangleburg CG, Perumal TM, Lee TV, Allison K, Swarup V, Funk CC, Gaiteri C, Allen M, Wang M, Neuner SM, Kaczorowski CC, Philip VM, Howell GR, Martini-Stoica H, Zheng H, Mei H, Zhong X, Kim JW, Dawson VL, Dawson TM, Pao PC, Tsai LH, Haure-Mirande JV, Ehrlich ME, Chakrabarty P, Levites Y, Wang X, Dammer EB, Srivastava G, Mukherjee S, Sieberts SK, Omberg L, Dang KD, Eddy JA, Snyder P, Chae Y, Amberkar S, Wei W, Hide W, Preuss C, Ergun A, Ebert PJ, Airey DC, Mostafavi S, Yu L, Klein HU, Carter GW, Collier DA, Golde TE, Levey AI, Bennett DA, Estrada K, Townsend TM, Zhang B, Schadt E, De Jager PL, Price ND, Ertekin-Taner N, Liu Z, Shulman JM, Mangravite LM, Logsdon BA; Accelerating Medicines Partnership-Alzheimer’s Disease Consortium. Meta-Analysis of the Alzheimer's Disease Human Brain Transcriptome and Functional Dissection in Mouse Models. Cell Rep 2020;32:107908. [PMID: 32668255 DOI: 10.1016/j.celrep.2020.107908] [Cited by in Crossref: 39] [Cited by in F6Publishing: 30] [Article Influence: 39.0] [Reference Citation Analysis]
Number Citing Articles
1 Bochukova EG. Transcriptomics of the Prader-Willi syndrome hypothalamus. Handb Clin Neurol 2021;181:369-79. [PMID: 34238471 DOI: 10.1016/B978-0-12-820683-6.00027-0] [Reference Citation Analysis]
2 Wingo TS, Liu Y, Gerasimov ES, Gockley J, Logsdon BA, Duong DM, Dammer EB, Lori A, Kim PJ, Ressler KJ, Beach TG, Reiman EM, Epstein MP, De Jager PL, Lah JJ, Bennett DA, Seyfried NT, Levey AI, Wingo AP. Brain proteome-wide association study implicates novel proteins in depression pathogenesis. Nat Neurosci 2021;24:810-7. [PMID: 33846625 DOI: 10.1038/s41593-021-00832-6] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
3 [DOI: 10.1101/2020.12.18.423469] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
4 Belonwu SA, Li Y, Bunis DG, Rao AA, Solsberg CW, Oskotsky T, Taubes AL, Grone B, Zalocusky KA, Fragiadakis GK, Huang Y, Sirota M. Bioinformatics Analysis of Publicly Available Single-Nuclei Transcriptomics Alzheimer’s Disease Datasets Reveals APOE Genotype-Specific Changes Across Cell Types in Two Brain Regions. Front Aging Neurosci 2022;14:749991. [DOI: 10.3389/fnagi.2022.749991] [Reference Citation Analysis]
5 Oblak AL, Kotredes KP, Pandey RS, Reagan AM, Ingraham C, Perkins B, Lloyd C, Baker D, Lin PB, Soni DM, Tsai AP, Persohn SA, Bedwell AA, Eldridge K, Speedy R, Meyer JA, Peters JS, Figueiredo LL, Sasner M, Territo PR, Sukoff Rizzo SJ, Carter GW, Lamb BT, Howell GR. Plcg2M28L Interacts With High Fat/High Sugar Diet to Accelerate Alzheimer’s Disease-Relevant Phenotypes in Mice. Front Aging Neurosci 2022;14:886575. [DOI: 10.3389/fnagi.2022.886575] [Reference Citation Analysis]
6 Miyoshi E, Morabito S, Swarup V. Systems biology approaches to unravel the molecular and genetic architecture of Alzheimer's disease and related tauopathies. Neurobiol Dis 2021;160:105530. [PMID: 34634459 DOI: 10.1016/j.nbd.2021.105530] [Reference Citation Analysis]
7 Marques-Coelho D, Iohan LDCC, Melo de Farias AR, Flaig A, Lambert JC, Costa MR; Brainbank Neuro–CEB Neuropathology Network. Differential transcript usage unravels gene expression alterations in Alzheimer's disease human brains. NPJ Aging Mech Dis 2021;7:2. [PMID: 33398016 DOI: 10.1038/s41514-020-00052-5] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
8 Crist AM, Hinkle KM, Wang X, Moloney CM, Matchett BJ, Labuzan SA, Frankenhauser I, Azu NO, Liesinger AM, Lesser ER, Serie DJ, Quicksall ZS, Patel TA, Carnwath TP, DeTure M, Tang X, Petersen RC, Duara R, Graff-Radford NR, Allen M, Carrasquillo MM, Li H, Ross OA, Ertekin-Taner N, Dickson DW, Asmann YW, Carter RE, Murray ME. Transcriptomic analysis to identify genes associated with selective hippocampal vulnerability in Alzheimer's disease. Nat Commun 2021;12:2311. [PMID: 33875655 DOI: 10.1038/s41467-021-22399-3] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Wingo TS, Gerasimov ES, Liu Y, Duong DM, Vattathil SM, Lori A, Gockley J, Breen MS, Maihofer AX, Nievergelt CM, Koenen KC, Levey DF, Gelernter J, Stein MB, Ressler KJ, Bennett DA, Levey AI, Seyfried NT, Wingo AP. Integrating human brain proteomes with genome-wide association data implicates novel proteins in post-traumatic stress disorder. Mol Psychiatry 2022. [PMID: 35449297 DOI: 10.1038/s41380-022-01544-4] [Reference Citation Analysis]
10 Tripathi S, Gupta U, Ujjwal RR, Yadav AK. Nano-lipidic formulation and therapeutic strategies for Alzheimer's disease via intranasal route. J Microencapsul 2021;38:572-93. [PMID: 34591731 DOI: 10.1080/02652048.2021.1986585] [Reference Citation Analysis]
11 Huang W, Tan H, Nie S. Beneficial effects of seaweed-derived dietary fiber: Highlights of the sulfated polysaccharides. Food Chem 2022;373:131608. [PMID: 34815114 DOI: 10.1016/j.foodchem.2021.131608] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 Oblak AL, Forner S, Territo PR, Sasner M, Carter GW, Howell GR, Sukoff-Rizzo SJ, Logsdon BA, Mangravite LM, Mortazavi A, Baglietto-Vargas D, Green KN, MacGregor GR, Wood MA, Tenner AJ, LaFerla FM, Lamb BT; and The MODEL‐AD., Consortium. Model organism development and evaluation for late-onset Alzheimer's disease: MODEL-AD. Alzheimers Dement (N Y) 2020;6:e12110. [PMID: 33283040 DOI: 10.1002/trc2.12110] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
13 Bichmann M, Prat Oriol N, Ercan-Herbst E, Schöndorf DC, Gomez Ramos B, Schwärzler V, Neu M, Schlüter A, Wang X, Jin L, Hu C, Tian Y, Ried JS, Haberkant P, Gasparini L, Ehrnhoefer DE. SETD7-mediated monomethylation is enriched on soluble Tau in Alzheimer's disease. Mol Neurodegener 2021;16:46. [PMID: 34215303 DOI: 10.1186/s13024-021-00468-x] [Reference Citation Analysis]
14 Li F, Eteleeb A, Buchser W, Wang G, Xiong C, Payne PR, McDade E, Karch CM, Harari O, Cruchaga C. Weakly activated core inflammation pathways were identified as a central signaling mechanism contributing to the chronic neurodegeneration in Alzheimer's disease. bioRxiv 2021:2021. [PMID: 34494019 DOI: 10.1101/2021.08.30.458295] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
15 Wang Q, Chen K, Su Y, Reiman EM, Dudley JT, Readhead B. Deep learning-based brain transcriptomic signatures associated with the neuropathological and clinical severity of Alzheimer's disease. Brain Commun 2022;4:fcab293. [PMID: 34993477 DOI: 10.1093/braincomms/fcab293] [Reference Citation Analysis]
16 van der Spek SJF, Gonzalez-Lozano MA, Koopmans F, Miedema SSM, Paliukhovich I, Smit AB, Li KW. Age-Dependent Hippocampal Proteomics in the APP/PS1 Alzheimer Mouse Model: A Comparative Analysis with Classical SWATH/DIA and directDIA Approaches. Cells 2021;10:1588. [PMID: 34202490 DOI: 10.3390/cells10071588] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
17 Preuss C, Pandey R, Piazza E, Fine A, Uyar A, Perumal T, Garceau D, Kotredes KP, Williams H, Mangravite LM, Lamb BT, Oblak AL, Howell GR, Sasner M, Logsdon BA, Carter GW; MODEL-AD Consortium. A novel systems biology approach to evaluate mouse models of late-onset Alzheimer's disease. Mol Neurodegener 2020;15:67. [PMID: 33172468 DOI: 10.1186/s13024-020-00412-5] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 2.0] [Reference Citation Analysis]
18 Noori A, Mezlini AM, Hyman BT, Serrano-Pozo A, Das S. Systematic review and meta-analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration. Neurobiol Dis 2021;149:105225. [PMID: 33347974 DOI: 10.1016/j.nbd.2020.105225] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
19 Lee AJ, Raghavan NS, Bhattarai P, Siddiqui T, Sariya S, Reyes-Dumeyer D, Flowers XE, Cardoso SAL, De Jager PL, Bennett DA, Schneider JA, Menon V, Wang Y, Lantigua RA, Medrano M, Rivera D, Jiménez-Velázquez IZ, Kukull WA, Brickman AM, Manly JJ, Tosto G, Kizil C, Vardarajan BN, Mayeux R. FMNL2 regulates gliovascular interactions and is associated with vascular risk factors and cerebrovascular pathology in Alzheimer's disease. Acta Neuropathol 2022. [PMID: 35608697 DOI: 10.1007/s00401-022-02431-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Madhu LN, Somayaji Y, Shetty AK. Promise of irisin to attenuate cognitive dysfunction in aging and Alzheimer's disease. Ageing Res Rev 2022;78:101637. [PMID: 35504553 DOI: 10.1016/j.arr.2022.101637] [Reference Citation Analysis]
21 Stojakovic A, Trushin S, Sheu A, Khalili L, Chang SY, Li X, Christensen T, Salisbury JL, Geroux RE, Gateno B, Flannery PJ, Dehankar M, Funk CC, Wilkins J, Stepanova A, O'Hagan T, Galkin A, Nesbitt J, Zhu X, Tripathi U, Macura S, Tchkonia T, Pirtskhalava T, Kirkland JL, Kudgus RA, Schoon RA, Reid JM, Yamazaki Y, Kanekiyo T, Zhang S, Nemutlu E, Dzeja P, Jaspersen A, Kwon YIC, Lee MK, Trushina E. Partial inhibition of mitochondrial complex I ameliorates Alzheimer's disease pathology and cognition in APP/PS1 female mice. Commun Biol 2021;4:61. [PMID: 33420340 DOI: 10.1038/s42003-020-01584-y] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 4.0] [Reference Citation Analysis]
22 He Z, Le Guen Y, Liu L, Lee J, Ma S, Yang AC, Liu X, Rutledge J, Losada PM, Song B, Belloy ME, Butler RR 3rd, Longo FM, Tang H, Mormino EC, Wyss-Coray T, Greicius MD, Ionita-Laza I. Genome-wide analysis of common and rare variants via multiple knockoffs at biobank scale, with an application to Alzheimer disease genetics. Am J Hum Genet 2021;108:2336-53. [PMID: 34767756 DOI: 10.1016/j.ajhg.2021.10.009] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
23 Feng J, Song G, Shen Q, Chen X, Wang Q, Guo S, Zhang M. Protect Effects of Seafood-Derived Plasmalogens Against Amyloid-Beta (1-42) Induced Toxicity via Modulating the Transcripts Related to Endocytosis, Autophagy, Apoptosis, Neurotransmitter Release and Synaptic Transmission in SH-SY5Y Cells. Front Aging Neurosci 2021;13:773713. [PMID: 34899276 DOI: 10.3389/fnagi.2021.773713] [Reference Citation Analysis]
24 Lee MJ, Wang C, Carroll MJ, Brubaker DK, Hyman BT, Lauffenburger DA. Computational Interspecies Translation Between Alzheimer's Disease Mouse Models and Human Subjects Identifies Innate Immune Complement, TYROBP, and TAM Receptor Agonist Signatures, Distinct From Influences of Aging. Front Neurosci 2021;15:727784. [PMID: 34658769 DOI: 10.3389/fnins.2021.727784] [Reference Citation Analysis]
25 Koller EJ, Ibanez KR, Vo Q, McFarland KN, Gonzalez De La Cruz E, Zobel L, Williams T, Xu G, Ryu D, Patel P, Giasson BI, Prokop S, Chakrabarty P. Combinatorial model of amyloid β and tau reveals synergy between amyloid deposits and tangle formation. Neuropathol Appl Neurobiol 2021. [PMID: 34825397 DOI: 10.1111/nan.12779] [Reference Citation Analysis]
26 Spanos F, Liddelow SA. An Overview of Astrocyte Responses in Genetically Induced Alzheimer's Disease Mouse Models. Cells 2020;9:E2415. [PMID: 33158189 DOI: 10.3390/cells9112415] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Haage V, De Jager PL. Neuroimmune contributions to Alzheimer's disease: a focus on human data. Mol Psychiatry 2022. [PMID: 35668160 DOI: 10.1038/s41380-022-01637-0] [Reference Citation Analysis]
28 Paranjpe MD, Belonwu S, Wang JK, Oskotsky T, Gupta A, Taubes A, Zalocusky KA, Paranjpe I, Glicksberg BS, Huang Y, Sirota M. Sex-Specific Cross Tissue Meta-Analysis Identifies Immune Dysregulation in Women With Alzheimer's Disease. Front Aging Neurosci 2021;13:735611. [PMID: 34658838 DOI: 10.3389/fnagi.2021.735611] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Vialle RA, de Paiva Lopes K, Bennett DA, Crary JF, Raj T. Integrating whole-genome sequencing with multi-omic data reveals the impact of structural variants on gene regulation in the human brain. Nat Neurosci 2022. [PMID: 35288716 DOI: 10.1038/s41593-022-01031-7] [Reference Citation Analysis]
30 Gurdon B, Kaczorowski C. Pursuit of precision medicine: Systems biology approaches in Alzheimer's disease mouse models. Neurobiol Dis 2021;161:105558. [PMID: 34767943 DOI: 10.1016/j.nbd.2021.105558] [Reference Citation Analysis]
31 Kuksa PP, Liu C, Fu W, Qu L, Zhao Y, Katanic Z, Clark K, Kuzma AB, Ho P, Tzeng K, Valladares O, Chou S, Naj AC, Schellenberg GD, Wang L, Leung YY, Griswold A. Alzheimer’s Disease Variant Portal: A Catalog of Genetic Findings for Alzheimer’s Disease. JAD 2022. [DOI: 10.3233/jad-215055] [Reference Citation Analysis]
32 Li M, Geng R, Li C, Meng F, Zhao H, Liu J, Dai J, Wang X. Dysregulated gene-associated biomarkers for Alzheimer's disease and aging. Transl Neurosci 2021;12:83-95. [PMID: 33623715 DOI: 10.1515/tnsci-2021-0009] [Reference Citation Analysis]
33 Duan S, Li C, Gao Y, Meng P, Ji S, Xu Y, Mao Y, Wang H, Tian J. The tyrosine kinase inhibitor LPM4870108 impairs learning and memory and induces transcriptomic and gene‑specific DNA methylation changes in rats. Arch Toxicol. [DOI: 10.1007/s00204-022-03226-0] [Reference Citation Analysis]
34 Majerníková N, den Dunnen WFA, Dolga AM. The Potential of Ferroptosis-Targeting Therapies for Alzheimer's Disease: From Mechanism to Transcriptomic Analysis. Front Aging Neurosci 2021;13:745046. [PMID: 34987375 DOI: 10.3389/fnagi.2021.745046] [Reference Citation Analysis]
35 Sanchez-Varo R, Mejias-Ortega M, Fernandez-Valenzuela JJ, Nuñez-Diaz C, Caceres-Palomo L, Vegas-Gomez L, Sanchez-Mejias E, Trujillo-Estrada L, Garcia-Leon JA, Moreno-Gonzalez I, Vizuete M, Vitorica J, Baglietto-Vargas D, Gutierrez A. Transgenic Mouse Models of Alzheimer's Disease: An Integrative Analysis. Int J Mol Sci 2022;23:5404. [PMID: 35628216 DOI: 10.3390/ijms23105404] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
36 Levites Y, Funk C, Wang X, Chakrabarty P, McFarland KN, Bramblett B, O'Neal V, Liu X, Ladd T, Robinson M, Allen M, Carrasquillo MM, Dickson D, Cruz P, Ryu D, Li HD, Price ND, Ertekin-Taner N, Golde TE. Modulating innate immune activation states impacts the efficacy of specific Aβ immunotherapy. Mol Neurodegener 2021;16:32. [PMID: 33957936 DOI: 10.1186/s13024-021-00453-4] [Reference Citation Analysis]
37 Oblak AL, Lin PB, Kotredes KP, Pandey RS, Garceau D, Williams HM, Uyar A, O'Rourke R, O'Rourke S, Ingraham C, Bednarczyk D, Belanger M, Cope ZA, Little GJ, Williams SG, Ash C, Bleckert A, Ragan T, Logsdon BA, Mangravite LM, Sukoff Rizzo SJ, Territo PR, Carter GW, Howell GR, Sasner M, Lamb BT. Comprehensive Evaluation of the 5XFAD Mouse Model for Preclinical Testing Applications: A MODEL-AD Study. Front Aging Neurosci 2021;13:713726. [PMID: 34366832 DOI: 10.3389/fnagi.2021.713726] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
38 Reddy JS, Allen M, Ho CCG, Oatman SR, İş Ö, Quicksall ZS, Wang X, Jin J, Patel TA, Carnwath TP, Nguyen TT, Malphrus KG, Lincoln SJ, Carrasquillo MM, Crook JE, Kanekiyo T, Murray ME, Bu G, Dickson DW, Ertekin-Taner N. Genome-wide analysis identifies a novel LINC-PINT splice variant associated with vascular amyloid pathology in Alzheimer's disease. Acta Neuropathol Commun 2021;9:93. [PMID: 34020725 DOI: 10.1186/s40478-021-01199-2] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
39 Aguilar-Pineda JA, Vera-Lopez KJ, Shrivastava P, Chávez-Fumagalli MA, Nieto-Montesinos R, Alvarez-Fernandez KL, Goyzueta Mamani LD, Davila Del-Carpio G, Gomez-Valdez B, Miller CL, Malhotra R, Lindsay ME, Lino Cardenas CL. Vascular smooth muscle cell dysfunction contribute to neuroinflammation and Tau hyperphosphorylation in Alzheimer disease. iScience 2021;24:102993. [PMID: 34505007 DOI: 10.1016/j.isci.2021.102993] [Reference Citation Analysis]
40 Ling Z, Zhu M, Liu X, Shao L, Cheng Y, Yan X, Jiang R, Wu S. Fecal Fungal Dysbiosis in Chinese Patients With Alzheimer's Disease. Front Cell Dev Biol 2020;8:631460. [PMID: 33585471 DOI: 10.3389/fcell.2020.631460] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
41 Patel T, Carnwath TP, Wang X, Allen M, Lincoln SJ, Lewis-Tuffin LJ, Quicksall ZS, Lin S, Tutor-New FQ, Ho CCG, Min Y, Malphrus KG, Nguyen TT, Martin E, Garcia CA, Alkharboosh RM, Grewal S, Chaichana K, Wharen R, Guerrero-Cazares H, Quinones-Hinojosa A, Ertekin-Taner N. Transcriptional landscape of human microglia implicates age, sex, and APOE-related immunometabolic pathway perturbations. Aging Cell 2022;21:e13606. [PMID: 35388616 DOI: 10.1111/acel.13606] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 He B, Gorijala P, Xie L, Cao S, Yan J. Gene co-expression changes underlying the functional connectomic alterations in Alzheimer's disease. BMC Med Genomics 2022;15:92. [PMID: 35461274 DOI: 10.1186/s12920-022-01244-6] [Reference Citation Analysis]
43 Mukherjee S, Heath L, Preuss C, Jayadev S, Garden GA, Greenwood AK, Sieberts SK, De Jager PL, Ertekin-Taner N, Carter GW, Mangravite LM, Logsdon BA. Molecular estimation of neurodegeneration pseudotime in older brains. Nat Commun 2020;11:5781. [PMID: 33188183 DOI: 10.1038/s41467-020-19622-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
44 Heuer SE, Neuner SM, Hadad N, O'Connell KMS, Williams RW, Philip VM, Gaiteri C, Kaczorowski CC. Identifying the molecular systems that influence cognitive resilience to Alzheimer's disease in genetically diverse mice. Learn Mem 2020;27:355-71. [PMID: 32817302 DOI: 10.1101/lm.051839.120] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 1.5] [Reference Citation Analysis]
45 Sieberts SK, Perumal TM, Carrasquillo MM, Allen M, Reddy JS, Hoffman GE, Dang KK, Calley J, Ebert PJ, Eddy J, Wang X, Greenwood AK, Mostafavi S, Omberg L, Peters MA, Logsdon BA, De Jager PL, Ertekin-Taner N, Mangravite LM; CommonMind Consortium (CMC)., The AMP-AD Consortium. Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions. Sci Data 2020;7:340. [PMID: 33046718 DOI: 10.1038/s41597-020-00642-8] [Cited by in Crossref: 14] [Cited by in F6Publishing: 12] [Article Influence: 7.0] [Reference Citation Analysis]
46 Grundman J, Spencer B, Sarsoza F, Rissman RA. Transcriptome analyses reveal tau isoform-driven changes in transposable element and gene expression. PLoS One 2021;16:e0251611. [PMID: 34587152 DOI: 10.1371/journal.pone.0251611] [Reference Citation Analysis]
47 D'Andrea L, Stringhi R, Di Luca M, Marcello E. Looking at Alzheimer's Disease Pathogenesis from the Nuclear Side. Biomolecules 2021;11:1261. [PMID: 34572474 DOI: 10.3390/biom11091261] [Reference Citation Analysis]
48 Eastman G, Sharlow ER, Lazo JS, Bloom GS, Sotelo-Silveira JR. Transcriptome and Translatome Regulation of Pathogenesis in Alzheimer's Disease Model Mice. J Alzheimers Dis 2022. [PMID: 35034904 DOI: 10.3233/JAD-215357] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
49 Garcia P, Jürgens‐wemheuer W, Uriarte Huarte O, Michelucci A, Masuch A, Brioschi S, Weihofen A, Koncina E, Coowar D, Heurtaux T, Glaab E, Balling R, Sousa C, Kaoma T, Nicot N, Pfander T, Schulz‐schaeffer W, Allouche A, Fischer N, Biber K, Kleine‐borgmann F, Mittelbronn M, Ostaszewski M, Schmit KJ, Buttini M. Neurodegeneration and neuroinflammation are linked, but independent of alpha‐synuclein inclusions, in a seeding/spreading mouse model of Parkinson's disease. Glia. [DOI: 10.1002/glia.24149] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
50 Consens ME, Chen Y, Menon V, Wang Y, Schneider JA, De Jager PL, Bennett DA, Tripathy SJ, Felsky D. Bulk and Single-Nucleus Transcriptomics Highlight Intra-Telencephalic and Somatostatin Neurons in Alzheimer's Disease. Front Mol Neurosci 2022;15:903175. [PMID: 35754708 DOI: 10.3389/fnmol.2022.903175] [Reference Citation Analysis]
51 Beebe-Wang N, Celik S, Weinberger E, Sturmfels P, De Jager PL, Mostafavi S, Lee SI. Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer's disease neuropathologies. Nat Commun 2021;12:5369. [PMID: 34508095 DOI: 10.1038/s41467-021-25680-7] [Reference Citation Analysis]
52 Mangleburg CG, Wu T, Yalamanchili HK, Guo C, Hsieh YC, Duong DM, Dammer EB, De Jager PL, Seyfried NT, Liu Z, Shulman JM. Integrated analysis of the aging brain transcriptome and proteome in tauopathy. Mol Neurodegener 2020;15:56. [PMID: 32993812 DOI: 10.1186/s13024-020-00405-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
53 Golde TE. Alzheimer’s disease – the journey of a healthy brain into organ failure. Mol Neurodegeneration 2022;17. [DOI: 10.1186/s13024-022-00523-1] [Reference Citation Analysis]
54 Savaş S. Detecting the Stages of Alzheimer’s Disease with Pre-trained Deep Learning Architectures. Arab J Sci Eng. [DOI: 10.1007/s13369-021-06131-3] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
55 Forner S, Kawauchi S, Balderrama-Gutierrez G, Kramár EA, Matheos DP, Phan J, Javonillo DI, Tran KM, Hingco E, da Cunha C, Rezaie N, Alcantara JA, Baglietto-Vargas D, Jansen C, Neumann J, Wood MA, MacGregor GR, Mortazavi A, Tenner AJ, LaFerla FM, Green KN. Systematic phenotyping and characterization of the 5xFAD mouse model of Alzheimer's disease. Sci Data 2021;8:270. [PMID: 34654824 DOI: 10.1038/s41597-021-01054-y] [Reference Citation Analysis]
56 Kotredes KP, Oblak A, Pandey RS, Lin PB, Garceau D, Williams H, Uyar A, O'Rourke R, O'Rourke S, Ingraham C, Bednarycek D, Belanger M, Cope Z, Foley KE, Logsdon BA, Mangravite LM, Sukoff Rizzo SJ, Territo PR, Carter GW, Sasner M, Lamb BT, Howell GR. Uncovering Disease Mechanisms in a Novel Mouse Model Expressing Humanized APOEε4 and Trem2*R47H. Front Aging Neurosci 2021;13:735524. [PMID: 34707490 DOI: 10.3389/fnagi.2021.735524] [Reference Citation Analysis]
57 Paasila PJ, Aramideh JA, Sutherland GT, Graeber MB. Synapses, Microglia, and Lipids in Alzheimer’s Disease. Front Neurosci 2022;15:778822. [DOI: 10.3389/fnins.2021.778822] [Reference Citation Analysis]
58 Smith AM, Davey K, Tsartsalis S, Khozoie C, Fancy N, Tang SS, Liaptsi E, Weinert M, McGarry A, Muirhead RCJ, Gentleman S, Owen DR, Matthews PM. Diverse human astrocyte and microglial transcriptional responses to Alzheimer's pathology. Acta Neuropathol 2022;143:75-91. [PMID: 34767070 DOI: 10.1007/s00401-021-02372-6] [Cited by in Crossref: 8] [Cited by in F6Publishing: 3] [Article Influence: 8.0] [Reference Citation Analysis]
59 Akanji MA, Rotimi DE, Elebiyo TC, Awakan OJ, Adeyemi OS. Redox Homeostasis and Prospects for Therapeutic Targeting in Neurodegenerative Disorders. Oxid Med Cell Longev 2021;2021:9971885. [PMID: 34394839 DOI: 10.1155/2021/9971885] [Reference Citation Analysis]
60 Engstrom AK, Walker AC, Moudgal RA, Myrick DA, Kyle SM, Bai Y, Rowley MJ, Katz DJ. The inhibition of LSD1 via sequestration contributes to tau-mediated neurodegeneration. Proc Natl Acad Sci U S A 2020;117:29133-43. [PMID: 33139560 DOI: 10.1073/pnas.2013552117] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
61 De Jager PL. Deconstructing the epigenomic architecture of human neurodegeneration. Neurobiol Dis 2021;153:105331. [PMID: 33711493 DOI: 10.1016/j.nbd.2021.105331] [Reference Citation Analysis]