Allen, S. P., Hall, B., Castelli, L. M., Francis, L., Woof, R., Siskos, A. P., Kouloura, E., Gray, E., Thompson, A. G., Talbot, K., Higginbottom, A., Myszczynska, M., Allen, C. F., Stopford, M. J., Hemingway, J., Bauer, C. S., Webster, C. P., De Vos, K. J., Turner, M. R., Keun, H. C., & Shaw, P. J. (2019). Astrocyte adenosine deaminase loss increases motor neuron toxicity in amyotrophic lateral sclerosis. Brain: A Journal of Neurology, 142(3), 586–605. https://doi.org/10.1093/brain/awy353
Bader, G. D., & Hogue, C. W. (2003). An automated method for finding molecular complexes in large protein interaction networks. BMC Bioinformatics, 4, 2. https://doi.org/10.1186/1471-2105-4-2
Article PubMed PubMed Central Google Scholar
Barrett, T., Wilhite, S. E., Ledoux, P., Evangelista, C., Kim, I. F., Tomashevsky, M., Marshall, K. A., Phillippy, K. H., Sherman, P. M., Holko, M., Yefanov, A., Lee, H., Zhang, N., Robertson, C. L., Serova, N., Davis, S., & Soboleva, A. (2013). NCBI GEO: Archive for functional genomics data sets--update. Nucleic Acids Research, 41(Database issue), D991–D995. https://doi.org/10.1093/nar/gks1193
Bernardini, C., Censi, F., Lattanzi, W., Barba, M., Calcagnini, G., Giuliani, A., Tasca, G., Sabatelli, M., Ricci, E., & Michetti, F. (2013). Mitochondrial network genes in the skeletal muscle of amyotrophic lateral sclerosis patients. PLOS ONE, 8(2), e57739. https://doi.org/10.1371/journal.pone.0057739
Article CAS PubMed PubMed Central Google Scholar
Bolstad, B. M., Irizarry, R. A., Astrand, M., & Speed, T. P. (2003). A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics (Oxford, England), 19(2), 185–193. https://doi.org/10.1093/bioinformatics/19.2.185
Article CAS PubMed Google Scholar
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., & de Hoon, M. J. L. (2009). Biopython: Freely available Python tools for computational molecular biology and bioinformatics. Bioinformatics, 25(11), 1422–1423. https://doi.org/10.1093/bioinformatics/btp163
Article CAS PubMed PubMed Central Google Scholar
Collins, M. A., An, J., Hood, B. L., Conrads, T. P., & Bowser, R. P. (2015). Label-free LC–MS/MS proteomic analysis of cerebrospinal fluid identifies protein/pathway alterations and candidate biomarkers for amyotrophic lateral sclerosis. Journal of Proteome Research, 14(11), 4486–4501. https://doi.org/10.1021/acs.jproteome.5b00804
Article CAS PubMed PubMed Central Google Scholar
Comte, B., Baumbach, J., Benis, A., Basílio, J., Debeljak, N., Flobak, Å., Franken, C., Harel, N., He, F., Kuiper, M., Méndez Pérez, J. A., Pujos-Guillot, E., Režen, T., Rozman, D., Schmid, J. A., Scerri, J., Tieri, P., Van Steen, K., Vasudevan, S., & Schmidt, H. H. H. W. (2020). Network and systems medicine: Position paper of the european collaboration on science and technology action on open multiscale systems medicine. Network and Systems Medicine, 3(1), 67–90. https://doi.org/10.1089/nsm.2020.0004
Article PubMed PubMed Central Google Scholar
Cortes, C., & Vapnik, V. (1995). Support-vector networks. Machine Learning, 20(3), 273–297. https://doi.org/10.1007/BF00994018
Cox, L. E., Ferraiuolo, L., Goodall, E. F., Heath, P. R., Higginbottom, A., Mortiboys, H., Hollinger, H. C., Hartley, J. A., Brockington, A., Burness, C. E., Morrison, K. E., Wharton, S. B., Grierson, A. J., Ince, P. G., Kirby, J., & Shaw, P. J. (2010). Mutations in CHMP2B in lower motor neuron predominant amyotrophic lateral sclerosis (ALS). PLoS ONE, 5(3), e9872. https://doi.org/10.1371/journal.pone.0009872
Article CAS PubMed PubMed Central Google Scholar
Dupuis, L., Pradat, P. F., Ludolph, A. C., & Loeffler, J. P. (2011). Energy metabolism in amyotrophic lateral sclerosis. The Lancet. Neurology, 10(1), 75–82. https://doi.org/10.1016/S1474-4422(10)70224-6
Article CAS PubMed Google Scholar
Fabregat, A., Jupe, S., Matthews, L., Sidiropoulos, K., Gillespie, M., Garapati, P., Haw, R., Jassal, B., Korninger, F., May, B., Milacic, M., Roca, C. D., Rothfels, K., Sevilla, C., Shamovsky, V., Shorser, S., Varusai, T., Viteri, G., Weiser, J., & D’Eustachio, P. (2018). The reactome pathway knowledgebase. Nucleic Acids Research, 46(D1), D649–D655. https://doi.org/10.1093/nar/gkx1132
Article CAS PubMed Google Scholar
Fiscon, G., Conte, F., Farina, L., & Paci, P. (2018). Network-based approaches to explore complex biological systems towards network medicine. Genes. https://doi.org/10.3390/genes9090437
Article PubMed PubMed Central Google Scholar
Friedman, J. H. (2001). Greedy function approximation: A gradient boosting machine. The Annals of Statistics, 29(5), 1189–1232. https://doi.org/10.1214/aos/1013203451
Gao, X. K., Sheng, Z. K., Lu, Y. H., Sun, Y. T., Rao, X. S., Shi, L. J., Cong, X. X., Chen, X., Wu, H. B., Huang, M., Zheng, Q., Guo, J., Jiang, L. J., Zheng, L. L., & Zhou, Y. T. (2023). VAPB-mediated ER-targeting stabilizes IRS-1 signalosomes to regulate insulin/IGF signaling. Cell Discovery, 9(1), 1–18. https://doi.org/10.1038/s41421-023-00576-6
Gov, E., & Arga, K. Y. (2017). Differential co-expression analysis reveals a novel prognostic gene module in ovarian cancer. Scientific Reports, 7(1), 4996. https://doi.org/10.1038/s41598-017-05298-w
Article CAS PubMed PubMed Central Google Scholar
Grima, N., Liu, S., Southwood, D., Henden, L., Smith, A., Lee, A., Rowe, D. B., D’Silva, S., Blair, I. P., & Williams, K. L. (2023). RNA sequencing of peripheral blood in amyotrophic lateral sclerosis reveals distinct molecular subtypes: Considerations for biomarker discovery. Neuropathology and Applied Neurobiology, 49(6), e12943. https://doi.org/10.1111/nan.12943
Article CAS PubMed PubMed Central Google Scholar
Halbgebauer, S., Abu-Rumeileh, S., Oeckl, P., Steinacker, P., Roselli, F., Wiesner, D., Mammana, A., Beekes, M., Kortazar-Zubizarreta, I., Perez de Nanclares, G., Capellari, S., Giese, A., Castilla, J., Ludolph, A. C., Žáková, D., Parchi, P., & Otto, M. (2022). Blood β-synuclein and neurofilament light chain during the course of prion disease. Neurology, 98(14), e1434–e1445. https://doi.org/10.1212/WNL.0000000000200002
Article CAS PubMed Google Scholar
Hua, Y., Dai, X., Xu, Y., Xing, G., Liu, H., Lu, T., Chen, Y., & Zhang, Y. (2022). Drug repositioning: Progress and challenges in drug discovery for various diseases. European Journal of Medicinal Chemistry, 234, 114239. https://doi.org/10.1016/j.ejmech.2022.114239
Article CAS PubMed PubMed Central Google Scholar
Huber, W., Carey, V. J., Gentleman, R., Anders, S., Carlson, M., Carvalho, B. S., Bravo, H. C., Davis, S., Gatto, L., Girke, T., Gottardo, R., Hahne, F., Hansen, K. D., Irizarry, R. A., Lawrence, M., Love, M. I., MacDonald, J., Obenchain, V., Oleś, A. K., & Morgan, M. (2015). Orchestrating high-throughput genomic analysis with bioconductor. Nature Methods, 12(2), 115–121. https://doi.org/10.1038/nmeth.3252
Article CAS PubMed PubMed Central Google Scholar
Imamura, K., Izumi, Y., Watanabe, A., Tsukita, K., Woltjen, K., Yamamoto, T., Hotta, A., Kondo, T., Kitaoka, S., Ohta, A., Tanaka, A., Watanabe, D., Morita, M., Takuma, H., Tamaoka, A., Kunath, T., Wray, S., Furuya, H., Era, T., … Inoue, H. (2017). The Src/c-Abl pathway is a potential therapeutic target in amyotrophic lateral sclerosis. Science Translational Medicine, 9(391), eaaf3962. https://doi.org/10.1126/scitranslmed.aaf3962
Jiang, J., Wang, Y., & Deng, M. (2022). New developments and opportunities in drugs being trialed for amyotrophic lateral sclerosis from 2020 to 2022. Frontiers in Pharmacology, 13, 1054006.
Article CAS PubMed PubMed Central Google Scholar
Kalghatgi, S., Spina, C. S., Costello, J. C., Liesa, M., Morones-Ramirez, J. R., Slomovic, S., Molina, A., Shirihai, O. S., & Collins, J. J. (2013). Bactericidal antibiotics induce mitochondrial dysfunction and oxidative damage in Mammalian cells. Science Translational Medicine, 5(192), 192ra85. https://doi.org/10.1126/scitranslmed.3006055
Article CAS PubMed PubMed Central Google Scholar
Kamburov, A., Wierling, C., Lehrach, H., & Herwig, R. (2009). ConsensusPathDB—A database for integrating human functional interaction networks. Nucleic Acids Research, 37, D623-628. https://doi.org/10.1093/nar/gkn698
Article CAS PubMed Google Scholar
Kanehisa, M., & Goto, S. (2000). KEGG: Kyoto encyclopedia of genes and genomes. Nucleic Acids Research, 28(1), 27–30. https://doi.org/10.1093/nar/28.1.27
Article CAS PubMed PubMed Central Google Scholar
Katzeff, J. S., Bright, F., Lo, K., Kril, J. J., Connolly, A., Crossett, B., Ittner, L. M., Kassiou, M., Loy, C. T., Hodges, J. R., Piguet, O., Kiernan, M. C., Halliday, G. M., & Kim, W. S. (2020). Altered serum protein levels in frontotemporal dementia and amyotrophic lateral sclerosis indicate calcium and immunity dysregulation. Scientific Reports, 10(1), 13741. https://doi.org/10.1038/s41598-020-70687-7
Article CAS PubMed PubMed Central Google Scholar
Kodavati, M., Wang, H., & Hegde, M. L. (2020). Altered mitochondrial dynamics in motor neuron disease: An emerging perspective. Cells
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