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For: Kelly J, Moyeed R, Carroll C, Albani D, Li X. Gene expression meta-analysis of Parkinson's disease and its relationship with Alzheimer's disease. Mol Brain 2019;12:16. [PMID: 30819229 DOI: 10.1186/s13041-019-0436-5] [Cited by in Crossref: 35] [Cited by in F6Publishing: 35] [Article Influence: 11.7] [Reference Citation Analysis]
Number Citing Articles
1 Villatoro-garcía JA, Martorell-marugán J, Toro-domínguez D, Román-montoya Y, Femia P, Carmona-sáez P. DExMA: An R Package for Performing Gene Expression Meta-Analysis with Missing Genes. Mathematics 2022;10:3376. [DOI: 10.3390/math10183376] [Reference Citation Analysis]
2 Tanveer A, Yadav D. Omics for Biomarker Investigation in Neurodegenerative Diseases. Neurodegenerative Diseases: Multifactorial Degenerative Processes, Biomarkers and Therapeutic Approaches (First Edition) 2022. [DOI: 10.2174/9789815040913122010012] [Reference Citation Analysis]
3 Zhao Y, Zhang K, Pan H, Wang Y, Zhou X, Xiang Y, Xu Q, Sun Q, Tan J, Yan X, Li J, Guo J, Tang B, Liu Z. Genetic Analysis of Six Transmembrane Protein Family Genes in Parkinson’s Disease in a Large Chinese Cohort. Front Aging Neurosci 2022;14:889057. [DOI: 10.3389/fnagi.2022.889057] [Reference Citation Analysis]
4 Cukier HN, Kim H, Griswold AJ, Codreanu SG, Prince LM, Sherrod SD, McLean JA, Dykxhoorn DM, Ess KC, Hedera P, Bowman AB, Neely MD. Genomic, transcriptomic, and metabolomic profiles of hiPSC-derived dopamine neurons from clinically discordant brothers with identical PRKN deletions. NPJ Parkinsons Dis 2022;8:84. [PMID: 35768426 DOI: 10.1038/s41531-022-00346-3] [Reference Citation Analysis]
5 Ruffini N, Klingenberg S, Heese R, Schweiger S, Gerber S. The Big Picture of Neurodegeneration: A Meta Study to Extract the Essential Evidence on Neurodegenerative Diseases in a Network-Based Approach. Front Aging Neurosci 2022;14:866886. [DOI: 10.3389/fnagi.2022.866886] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Moradi S, Tapak L, Afshar S, Alatas B. Identification of Novel Noninvasive Diagnostics Biomarkers in the Parkinson’s Diseases and Improving the Disease Classification Using Support Vector Machine. BioMed Research International 2022;2022:1-8. [DOI: 10.1155/2022/5009892] [Reference Citation Analysis]
7 Finney CA, Delerue F, Shvetcov A. Artificial intelligence-driven meta-analysis of brain gene expression data identifies novel gene candidates in Alzheimer’s Disease.. [DOI: 10.1101/2022.02.02.22270347] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Biswas P, Mukhopadhyay A. Analyzing Gene-Coexpression Patterns for Parkinson’s Disease Using Module Preservation Statistics. Advanced Techniques for IoT Applications 2022. [DOI: 10.1007/978-981-16-4435-1_9] [Reference Citation Analysis]
9 Pedrero-Prieto CM, Frontiñán-Rubio J, Alcaín FJ, Durán-Prado M, Peinado JR, Rabanal-Ruiz Y. Biological Significance of the Protein Changes Occurring in the Cerebrospinal Fluid of Alzheimer's Disease Patients: Getting Clues from Proteomic Studies. Diagnostics (Basel) 2021;11:1655. [PMID: 34573996 DOI: 10.3390/diagnostics11091655] [Reference Citation Analysis]
10 Cho E, Park J, Kim K, Kim MG, Cho SR. Reelin Alleviates Mesenchymal Stem Cell Senescence and Reduces Pathological α-Synuclein Expression in an In Vitro Model of Parkinson's Disease. Genes (Basel) 2021;12:1066. [PMID: 34356083 DOI: 10.3390/genes12071066] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
11 Motyl JA, Strosznajder JB, Wencel A, Strosznajder RP. Recent Insights into the Interplay of Alpha-Synuclein and Sphingolipid Signaling in Parkinson's Disease. Int J Mol Sci 2021;22:6277. [PMID: 34207975 DOI: 10.3390/ijms22126277] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
12 Seefelder M, Kochanek S. A meta-analysis of transcriptomic profiles of Huntington's disease patients. PLoS One 2021;16:e0253037. [PMID: 34111223 DOI: 10.1371/journal.pone.0253037] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
13 Zeighami Y, Bakken TE, Nickl-jockschat T, Peterson Z, Jegga AG, Miller JA, Evans AC, Lein ES, Hawrylycz M. Structural and cellular transcriptome foundations of human brain disease.. [DOI: 10.1101/2021.05.12.443911] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Salman MM, Al-Obaidi Z, Kitchen P, Loreto A, Bill RM, Wade-Martins R. Advances in Applying Computer-Aided Drug Design for Neurodegenerative Diseases. Int J Mol Sci 2021;22:4688. [PMID: 33925236 DOI: 10.3390/ijms22094688] [Cited by in Crossref: 44] [Cited by in F6Publishing: 47] [Article Influence: 44.0] [Reference Citation Analysis]
15 Vitic Z, Safory H, Jovanovic VM, Sarusi Y, Stavsky A, Kahn J, Kuzmina A, Toker L, Gitler D, Taube R, Friedel RH, Engelender S, Brodski C. BMP5/7 protect dopaminergic neurons in an α-synuclein mouse model of Parkinson's disease. Brain 2021;144:e15. [PMID: 33253359 DOI: 10.1093/brain/awaa368] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
16 Anirudhan A, Angulo-Bejarano PI, Paramasivam P, Manokaran K, Kamath SM, Murugesan R, Sharma A, Ahmed SSSJ. RPL6: A Key Molecule Regulating Zinc- and Magnesium-Bound Metalloproteins of Parkinson's Disease. Front Neurosci 2021;15:631892. [PMID: 33790735 DOI: 10.3389/fnins.2021.631892] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
17 Krokidis MG, Exarchos TP, Vlamos P. Data-driven biomarker analysis using computational omics approaches to assess neurodegenerative disease progression. Math Biosci Eng 2021;18:1813-32. [PMID: 33757212 DOI: 10.3934/mbe.2021094] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
18 Seefelder M, Kochanek S. A meta-analysis of transcriptomic profiles from Huntington’s disease patients points to a pathophysiological role of CDC42, NFY, DLX1 and PRMT3.. [DOI: 10.1101/2021.01.04.425185] [Reference Citation Analysis]
19 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: 27] [Cited by in F6Publishing: 29] [Article Influence: 13.5] [Reference Citation Analysis]
20 Phung DM, Lee J, Hong S, Kim YE, Yoon J, Kim YJ. Meta-Analysis of Differentially Expressed Genes in the Substantia Nigra in Parkinson's Disease Supports Phenotype-Specific Transcriptome Changes. Front Neurosci 2020;14:596105. [PMID: 33390883 DOI: 10.3389/fnins.2020.596105] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
21 Lin TK, Lin KJ, Lin KL, Liou CW, Chen SD, Chuang YC, Wang PW, Chuang JH, Wang TJ. When Friendship Turns Sour: Effective Communication Between Mitochondria and Intracellular Organelles in Parkinson's Disease. Front Cell Dev Biol 2020;8:607392. [PMID: 33330511 DOI: 10.3389/fcell.2020.607392] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
22 Girard V, Goubard V, Querenet M, Seugnet L, Pays L, Nataf S, Dufourd E, Cluet D, Mollereau B, Davoust N. Spen modulates lipid droplet content in adult Drosophila glial cells and protects against paraquat toxicity. Sci Rep 2020;10:20023. [PMID: 33208773 DOI: 10.1038/s41598-020-76891-9] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]
23 Quiroz RN, Scott AL, Philot EA, Atencio L, Ponce CF, Martinez GA, Bonfanti AC, Escorcia LG, Quiroz EN. Differential gene expression in the interactome of the Human Dopamine transporter in the context of Parkinson’s disease.. [DOI: 10.1101/2020.10.12.336388] [Reference Citation Analysis]
24 Hendrickx DM, Garcia P, Ashrafi A, Sciortino A, Schmit KJ, Kollmus H, Nicot N, Kaoma T, Vallar L, Buttini M, Glaab E. A New Synuclein-Transgenic Mouse Model for Early Parkinson's Reveals Molecular Features of Preclinical Disease. Mol Neurobiol 2021;58:576-602. [PMID: 32997293 DOI: 10.1007/s12035-020-02085-z] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 2.5] [Reference Citation Analysis]
25 Kelm-Nelson CA, Gammie S. Gene expression within the periaqueductal gray is linked to vocal behavior and early-onset parkinsonism in Pink1 knockout rats. BMC Genomics 2020;21:625. [PMID: 32942992 DOI: 10.1186/s12864-020-07037-4] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
26 Vavougios GD. SARS-CoV-2 dysregulation of PTBP1 and YWHAE/Z gene expression: A primer of neurodegeneration. Med Hypotheses 2020;144:110212. [PMID: 33254518 DOI: 10.1016/j.mehy.2020.110212] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]
27 Hendrickx DM, Glaab E. Comparative transcriptome analysis of Parkinson's disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes. BMC Med Genomics 2020;13:114. [PMID: 32811487 DOI: 10.1186/s12920-020-00761-6] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
28 Huff K, Suárez-Trujillo A, Kuang S, Plaut K, Casey T. One-to-one relationships between milk miRNA content and protein abundance in neonate duodenum support the potential for milk miRNAs regulating neonate development. Funct Integr Genomics 2020;20:645-56. [PMID: 32458191 DOI: 10.1007/s10142-020-00743-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
29 Girard V, Goubard V, Querenet M, Seugnet L, Pays L, Nataf S, Dufourd E, Cluet D, Mollereau B, Davoust N. Split-ends is modulating lipid droplet content in adult Drosophila glial cells and is protective against paraquat toxicity.. [DOI: 10.1101/2020.05.20.101220] [Reference Citation Analysis]
30 Hendrickx DM, Garcia P, Ashrafi A, Sciortino A, Schmit KJ, Kollmus H, Nicot N, Kaoma T, Vallar L, Buttini M, Glaab E. A new synuclein-transgenic mouse model for early Parkinson’s reveals molecular features of preclinical disease.. [DOI: 10.1101/2020.04.04.016642] [Reference Citation Analysis]
31 Kelly J, Moyeed R, Carroll C, Luo S, Li X. Genetic networks in Parkinson's and Alzheimer's disease. Aging (Albany NY) 2020;12:5221-43. [PMID: 32205467 DOI: 10.18632/aging.102943] [Cited by in Crossref: 8] [Cited by in F6Publishing: 10] [Article Influence: 4.0] [Reference Citation Analysis]
32 Toro-Domínguez D, Villatoro-García JA, Martorell-Marugán J, Román-Montoya Y, Alarcón-Riquelme ME, Carmona-Sáez P. A survey of gene expression meta-analysis: methods and applications. Brief Bioinform 2021;22:1694-705. [PMID: 32095826 DOI: 10.1093/bib/bbaa019] [Cited by in Crossref: 24] [Cited by in F6Publishing: 27] [Article Influence: 12.0] [Reference Citation Analysis]
33 Bottero V, Potashkin JA. Meta-Analysis of Gene Expression Changes in the Blood of Patients with Mild Cognitive Impairment and Alzheimer's Disease Dementia. Int J Mol Sci 2019;20:E5403. [PMID: 31671574 DOI: 10.3390/ijms20215403] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 6.3] [Reference Citation Analysis]
34 Ghorbani S, Szigetvari PD, Haavik J, Kleppe R. Serine 19 phosphorylation and 14‐3‐3 binding regulate phosphorylation and dephosphorylation of tyrosine hydroxylase on serine 31 and serine 40. J Neurochem 2019;152:29-47. [DOI: 10.1111/jnc.14872] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]