Page 70 - BH-2-4
P. 70
Brain & Heart Alzheimer’s disease: Gene and protein network analysis
3. DeTure MA, Dickson DW. The neuropathological diagnosis source software for accessing Gene Ontology information
of Alzheimer’s disease. Mol Neurodegener. 2019;14(1):32. and finding significantly enriched Gene Ontology
terms associated with a list of genes. Bioinformatics.
doi: 10.1186/s13024-019-0333-5
2004;20(18):3710-3715.
4. Goedert M, Spillantini MG. A century of Alzheimer’s
disease. Science. 2006;314(5800):777-781. doi: 10.1093/bioinformatics/bth456
16. Von Mering C, Huynen M, Jaeggi D, Schmidt S, Bork P,
doi: 10.1126/science.1132814
Snel, B. STRING: A database of predicted functional
5. Jucker M, Walker LC. Alzheimer’s disease: From associations between proteins. Nucleic Acids Res.
immunotherapy to immunoprevention. Cell. 2003;31(1):258-261.
2023;186(20):4260-4270.
doi: 10.1093/nar/gkg034
doi: 10.1016/j.cell.2023.08.021
17. Szklarczyk D, Kirsch R, Koutrouli M, et al. The STRING
6. Ballard C, Gauthier S, Corbett A, Brayne C, Aarsland D, database in 2023: Protein-protein association networks and
Jones E. Alzheimer’s disease. Lancet. 2011;377(9770): functional enrichment analyses for any sequenced genome
1019-1031. of interest. Nucleic Acids Res. 2023;51(D1):D638-D646.
doi: 10.1016/S0140-6736(10)61349-9 doi: 10.1093/nar/gkac1000
7. Asher S, Priefer R. Alzheimer’s disease failed clinical trials. 18. Yan T, Ding F, Zhao Y. Integrated identification of key genes
Life Sci. 2022;306:120861. and pathways in Alzheimer’s disease via comprehensive
doi: 10.1016/j.lfs.2022.120861 bioinformatical analyses. Hereditas. 2019;156:25.
8. Scheltens P, De Strooper B, Kivipelto M, et al. Alzheimer’s doi: 10.1186/s41065-019-0101-0
disease. Lancet. 2021;397(10284):1577-1590. 19. Fiscon G, Sibilio P, Funari A, Conte F, Paci P. Identification
doi: 10.1016/S0140-6736(20)32205-4 of potential repurposable drugs in Alzheimer’s disease
exploiting a bioinformatics analysis. J Pers Med.
9. Trejo-Lopez JA, Yachnis AT, Prokop S. Neuropathology of 2022;12(10):1731.
Alzheimer’s Disease. Neurotherapeutics. 2022;19(1):173-185.
doi: 10.3390/jpm12101731
doi: 10.1007/s13311-021-01146-y
20. Liu W, Chen S, Rao X, Yang Y, Chen X, Yu L. The
10. Zhang H, Zhang, Y, Li, Y, et al. Bioinformatics and network inflammatory gene PYCARD of the entorhinal cortex as an
pharmacology identify the therapeutic role and potential early diagnostic target for Alzheimer’s disease. Biomedicines.
mechanism of melatonin in AD and Rosacea. Front 2023;11(1):194.
Immunol. 2021;12:756550.
doi: 10.3390/biomedicines11010194
doi: 10.3389/fimmu.2021.756550
21. Shi L, Jones WD, Jensen RV, et al. The balance of
11. Horgusluoglu E, Neff R, Song WM, et al. Integrative reproducibility, sensitivity, and specificity of lists of
metabolomics-genomics approach reveals key metabolic differentially expressed genes in microarray studies. BMC
pathways and regulators of Alzheimer’s disease. Alzheimers Bioinformatics. 2008;9 Suppl 9:S10.
Dement. 2022;18(6):1260-1278.
doi: 10.1186/1471-2105-9-S9-S10
doi: 10.1002/alz.12468
22. Wei B, Wang L, Du C, Hu G, et al. Identification of
12. Clark NR, Hu KS, Feldmann AS, et al. The characteristic differentially expressed genes regulated by transcription
direction: A geometrical approach to identify differentially factors in glioblastomas by bioinformatics analysis. Mol Med
expressed genes. BMC Bioinformatics. 2014;15:79.
Rep. 2015;11(4):2548-2554.
doi: 10.1186/1471-2105-15-79
doi: 10.3892/mmr.2014.3094
13. Broberg P. Statistical methods for ranking differentially 23. Yang X, Zhu S, Li L, et al. Identification of differentially
expressed genes. Genome Biol. 2003;4(6):R41. expressed genes and signaling pathways in ovarian cancer
doi: 10.1186/gb-2003-4-6-r41 by integrated bioinformatics analysis. Onco Targets Ther.
2018;11:1457-1474.
14. Chen S, Chai X, Wu X. Bioinformatical analysis of the key
differentially expressed genes and associations with immune doi: 10.2147/OTT.S152238
cell infiltration in development of endometriosis. BMC 24. Fowler DM, Araya CL, Gerard W, Fields S. Enrich: Software
Genom Data. 2022;23(1):20.
for analysis of protein function by enrichment and depletion
doi: 10.1186/s12863-022-01036-y of variants. Bioinformatics. 2011;27(24):3430-3431.
15. Boyle EI, Weng S, Gollub J, et al. GO: TermFinder--open doi: 10.1093/bioinformatics/btr577
Volume 2 Issue 4 (2024) 10 doi: 10.36922/bh.2906

