{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T20:43:31Z","timestamp":1786221811124,"version":"build-2736575974"},"reference-count":66,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100007632","name":"Changhua Christian Hospital","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100007632","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100020595","name":"National Science and Technology Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100020595","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Brain Research"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.brainres.2026.150451","type":"journal-article","created":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T15:12:20Z","timestamp":1782918740000},"page":"150451","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Transcriptome-guided modeling reveals insulin-related metabolic dysfunction in SCA3 mouse cerebellum"],"prefix":"10.1016","volume":"1889","author":[{"given":"Shin-Hung","family":"Pan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jui-Chih","family":"Chang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen-Ling","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"An-Chi","family":"Wei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chin-San","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.brainres.2026.150451_b0005","series-title":"FastQC: a Quality Control Tool for High Throughput Sequence Data","author":"Andrews","year":"2010"},{"key":"10.1016\/j.brainres.2026.150451_b0010","article-title":"Purkinje-enriched snRNA-seq in SCA7 cerebellum reveals zebrin identity loss as a central feature of polyglutamine ataxias","author":"Bartelt","year":"2023","journal-title":"BioRxiv."},{"issue":"4","key":"10.1016\/j.brainres.2026.150451_b0015","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1007\/s002210000600","article-title":"A novel postsynaptic density protein: the monocarboxylate transporter MCT2 is co-localized with \u03b4-glutamate receptors in postsynaptic densities of parallel fiber\u2013Purkinje cell synapses","volume":"136","author":"Bergersen","year":"2001","journal-title":"Exp. Brain Res."},{"key":"10.1016\/j.brainres.2026.150451_b0020","series-title":"Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners","first-page":"151","article-title":"Matplotlib and seaborn","author":"Bisong","year":"2019"},{"key":"10.1016\/j.brainres.2026.150451_b0025","doi-asserted-by":"crossref","DOI":"10.3389\/fncel.2022.998408","article-title":"Single nuclei RNA sequencing investigation of the Purkinje cell and glial changes in the cerebellum of transgenic spinocerebellar ataxia type 1 mice","volume":"16","author":"Borgenheimer","year":"2022","journal-title":"Front. Cell. Neurosci."},{"issue":"6","key":"10.1016\/j.brainres.2026.150451_b0030","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1093\/bioinformatics\/btn051","article-title":"LibSBML: an API library for SBML","volume":"24","author":"Bornstein","year":"2008","journal-title":"Bioinformatics"},{"key":"10.1016\/j.brainres.2026.150451_b0035","unstructured":"Carlson, M., Falcon, S., Pages, H., & Li, N. (2019). org.Mm.eg.db: genome wide annotation for Mouse. In (Version 3.20.0) Bioconductor\/R package."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0040","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004749","article-title":"The role of the mammalian DNA end-processing enzyme polynucleotide kinase 3\u2032-phosphatase in spinocerebellar ataxia type 3 pathogenesis","volume":"11","author":"Chatterjee","year":"2015","journal-title":"PLoS Genet."},{"issue":"9","key":"10.1016\/j.brainres.2026.150451_b0045","doi-asserted-by":"crossref","first-page":"3063","DOI":"10.3390\/ijms21093063","article-title":"Identifying therapeutic targets for spinocerebellar ataxia type 3\/Machado\u2013Joseph disease through integration of pathological biomarkers and therapeutic strategies","volume":"21","author":"Chen","year":"2020","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.brainres.2026.150451_b0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.arr.2021.101358","article-title":"Systemic manifestation and contribution of peripheral tissues to Huntington\u2019s disease pathogenesis","volume":"69","author":"Chuang","year":"2021","journal-title":"Ageing Res. Rev."},{"issue":"8","key":"10.1016\/j.brainres.2026.150451_b0055","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1000489","article-title":"Interpreting expression data with metabolic flux models: predicting Mycobacterium tuberculosis mycolic acid production","volume":"5","author":"Colijn","year":"2009","journal-title":"PLoS Comput. Biol."},{"key":"10.1016\/j.brainres.2026.150451_b0060","first-page":"1","article-title":"A survey of best practices for RNA-seq data analysis","volume":"17","author":"Conesa","year":"2016","journal-title":"Genome Biol."},{"issue":"6","key":"10.1016\/j.brainres.2026.150451_b0065","doi-asserted-by":"crossref","first-page":"1101","DOI":"10.1177\/193229680800200619","article-title":"Alzheimer's disease is type 3 diabetes\u2014evidence reviewed","volume":"2","author":"De la Monte","year":"2008","journal-title":"J. Diabetes Sci. Technol."},{"key":"10.1016\/j.brainres.2026.150451_b0070","doi-asserted-by":"crossref","first-page":"491","DOI":"10.3389\/fnins.2019.00491","article-title":"Insulin and autophagy in neurodegeneration","volume":"13","author":"De Mello","year":"2019","journal-title":"Front. Neurosci."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0075","doi-asserted-by":"crossref","first-page":"1537","DOI":"10.1038\/s41467-020-15351-4","article-title":"Dimensionality reduction by UMAP to visualize physical and genetic interactions","volume":"11","author":"Dorrity","year":"2020","journal-title":"Nat. Commun."},{"issue":"5","key":"10.1016\/j.brainres.2026.150451_b0080","doi-asserted-by":"crossref","DOI":"10.1172\/JCI162246","article-title":"Glucocorticoid receptor-dependent therapeutic efficacy of tauroursodeoxycholic acid in preclinical models of spinocerebellar ataxia type 3","volume":"134","author":"Duarte-Silva","year":"2024","journal-title":"J. Clin. Invest."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0085","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1186\/s40478-020-00955-0","article-title":"The blood-brain barrier is disrupted in Machado-Joseph disease\/spinocerebellar ataxia type 3: evidence from transgenic mice and human post-mortem samples","volume":"8","author":"Duarte Lobo","year":"2020","journal-title":"Acta Neuropathol. Commun."},{"issue":"8","key":"10.1016\/j.brainres.2026.150451_b0090","doi-asserted-by":"crossref","first-page":"1184","DOI":"10.1038\/nprot.2009.97","article-title":"Mapping identifiers for the integration of genomic datasets with the R\/Bioconductor package biomaRt","volume":"4","author":"Durinck","year":"2009","journal-title":"Nat. Protoc."},{"key":"10.1016\/j.brainres.2026.150451_b0095","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1752-0509-7-74","article-title":"COBRApy: constraints-based reconstruction and analysis for python","volume":"7","author":"Ebrahim","year":"2013","journal-title":"BMC Syst. Biol."},{"issue":"3","key":"10.1016\/j.brainres.2026.150451_b0100","doi-asserted-by":"crossref","DOI":"10.1016\/j.xgen.2025.100816","article-title":"The breaking point where repeat expansion triggers neuronal collapse in Huntington\u2019s disease","volume":"5","author":"Flower","year":"2025","journal-title":"Cell Genomics"},{"issue":"D1","key":"10.1016\/j.brainres.2026.150451_b0105","doi-asserted-by":"crossref","first-page":"D942","DOI":"10.1093\/nar\/gkac1071","article-title":"GENCODE: reference annotation for the human and mouse genomes in 2023","volume":"51","author":"Frankish","year":"2023","journal-title":"Nucleic Acids Res."},{"issue":"41","key":"10.1016\/j.brainres.2026.150451_b0110","doi-asserted-by":"crossref","first-page":"40128","DOI":"10.1074\/jbc.M300909200","article-title":"Identification of monocarboxylate transporter 8 as a specific thyroid hormone transporter","volume":"278","author":"Friesema","year":"2003","journal-title":"J. Biol. Chem."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0115","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pgen.1004834","article-title":"Inactivation of PNKP by mutant ATXN3 triggers apoptosis by activating the DNA damage-response pathway in SCA3","volume":"11","author":"Gao","year":"2015","journal-title":"PLoS Genet."},{"key":"10.1016\/j.brainres.2026.150451_b0120","unstructured":"Gurobi Optimization, L. (2021). Gurobi optimizer reference manual. https:\/\/www.gurobi.com."},{"issue":"12","key":"10.1016\/j.brainres.2026.150451_b0125","doi-asserted-by":"crossref","first-page":"4184","DOI":"10.2337\/db13-0639","article-title":"Human insulin resistance is associated with increased plasma levels of 12\u03b1-hydroxylated bile acids","volume":"62","author":"Haeusler","year":"2013","journal-title":"Diabetes"},{"issue":"7825","key":"10.1016\/j.brainres.2026.150451_b0130","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1038\/s41586-020-2649-2","article-title":"Array programming with NumPy","volume":"585","author":"Harris","year":"2020","journal-title":"Nature"},{"issue":"33","key":"10.1016\/j.brainres.2026.150451_b0135","doi-asserted-by":"crossref","first-page":"10604","DOI":"10.1523\/JNEUROSCI.23-33-10604.2003","article-title":"Thyroid hormone induces cerebellar Purkinje cell dendritic development via the thyroid hormone receptor \u03b11","volume":"23","author":"Heuer","year":"2003","journal-title":"J. Neurosci."},{"issue":"3","key":"10.1016\/j.brainres.2026.150451_b0140","doi-asserted-by":"crossref","first-page":"619","DOI":"10.1124\/jpet.112.192138","article-title":"Mitochondrial dysfunction in neurodegenerative diseases","volume":"342","author":"Johri","year":"2012","journal-title":"J. Pharmacol. Exp. Ther."},{"issue":"22","key":"10.1016\/j.brainres.2026.150451_b0145","doi-asserted-by":"crossref","first-page":"11955","DOI":"10.3390\/ijms252211955","article-title":"Alzheimer\u2019s Disease as Type 3 Diabetes: Understanding the Link and Implications","volume":"25","author":"Kciuk","year":"2024","journal-title":"Int. J. Mol. Sci."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0150","doi-asserted-by":"crossref","first-page":"6177","DOI":"10.1038\/s41598-020-63235-w","article-title":"iMM1865: a new reconstruction of mouse genome-scale metabolic model","volume":"10","author":"Khodaee","year":"2020","journal-title":"Sci. Rep."},{"issue":"7","key":"10.1016\/j.brainres.2026.150451_b0155","first-page":"790","article-title":"Package \u2018pheatmap\u2019","volume":"1","author":"Kolde","year":"2015","journal-title":"R package"},{"key":"10.1016\/j.brainres.2026.150451_b0160","doi-asserted-by":"crossref","unstructured":"Konopka, T., & Konopka, M. T. (2018). R-package: umap. Uniform Manifold Approximation and Projection, 836, 837.","DOI":"10.32614\/CRAN.package.umap"},{"key":"10.1016\/j.brainres.2026.150451_b0165","unstructured":"Krijthe, J., van der Maaten, L., & Krijthe, M. J. (2018). Package \u2018Rtsne\u2019. R package version, 13, 577."},{"issue":"2","key":"10.1016\/j.brainres.2026.150451_b0170","first-page":"139","article-title":"Compromised mitochondrial complex II in models of Machado\u2013Joseph disease","volume":"1822","author":"La\u00e7o","year":"2012","journal-title":"Biochim. Biophys. Acta (BBA)-Mol. Basis Disease"},{"issue":"6","key":"10.1016\/j.brainres.2026.150451_b0175","doi-asserted-by":"crossref","first-page":"882","DOI":"10.1093\/bioinformatics\/bts034","article-title":"The sva package for removing batch effects and other unwanted variation in high-throughput experiments","volume":"28","author":"Leek","year":"2012","journal-title":"Bioinformatics"},{"issue":"16","key":"10.1016\/j.brainres.2026.150451_b0180","doi-asserted-by":"crossref","first-page":"2078","DOI":"10.1093\/bioinformatics\/btp352","article-title":"The sequence alignment\/map format and SAMtools","volume":"25","author":"Li","year":"2009","journal-title":"Bioinformatics"},{"issue":"2","key":"10.1016\/j.brainres.2026.150451_b0185","doi-asserted-by":"crossref","first-page":"505","DOI":"10.3390\/biomedicines10020505","article-title":"IGF-1 as a potential therapy for spinocerebellar ataxia type 3","volume":"10","author":"Lin","year":"2022","journal-title":"Biomedicines"},{"issue":"15","key":"10.1016\/j.brainres.2026.150451_b0190","doi-asserted-by":"crossref","first-page":"7974","DOI":"10.3390\/ijms22157974","article-title":"Transcriptomic and metabolic network analysis of metabolic reprogramming and IGF-1 modulation in SCA3 transgenic mice","volume":"22","author":"Lin","year":"2021","journal-title":"Int. J. Mol. Sci."},{"key":"10.1016\/j.brainres.2026.150451_b0195","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13059-014-0550-8","article-title":"Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2","volume":"15","author":"Love","year":"2014","journal-title":"Genome Biol."},{"key":"10.1016\/j.brainres.2026.150451_b0200","doi-asserted-by":"crossref","unstructured":"McInnes, L., Healy, J., & Melville, J. (2018). Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426.","DOI":"10.21105\/joss.00861"},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0205","first-page":"51","article-title":"Data structures for statistical computing in Python","volume":"445","author":"McKinney","year":"2010","journal-title":"SciPy"},{"key":"10.1016\/j.brainres.2026.150451_b0210","doi-asserted-by":"crossref","DOI":"10.1016\/j.nbd.2019.104635","article-title":"Pathogenesis of SCA3 and implications for other polyglutamine diseases","volume":"134","author":"McLoughlin","year":"2020","journal-title":"Neurobiol. Dis."},{"issue":"2","key":"10.1016\/j.brainres.2026.150451_b0215","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0086587","article-title":"optGpSampler: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks","volume":"9","author":"Megchelenbrink","year":"2014","journal-title":"PLoS One"},{"key":"10.1016\/j.brainres.2026.150451_b0220","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.nicl.2018.03.038","article-title":"The cerebral metabolic topography of spinocerebellar ataxia type 3","volume":"19","author":"Meles","year":"2018","journal-title":"NeuroImage: Clinical"},{"key":"10.1016\/j.brainres.2026.150451_b0225","doi-asserted-by":"crossref","unstructured":"Namuli, K. L., Dr\u00f6gem\u00f6ller, B. I., & Wright, G. E. (2025). Unbiased human genomic characterization of polyglutamine disorder genes to inform therapeutic strategies. medRxiv, 2025.2002. 2017.25322412.","DOI":"10.1101\/2025.02.17.25322412"},{"issue":"5","key":"10.1016\/j.brainres.2026.150451_b0230","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1007\/s00401-019-02019-7","article-title":"Restoring brain cholesterol turnover improves autophagy and has therapeutic potential in mouse models of spinocerebellar ataxia","volume":"138","author":"N\u00f3brega","year":"2019","journal-title":"Acta Neuropathol."},{"key":"10.1016\/j.brainres.2026.150451_b0235","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1016\/j.ebiom.2019.04.046","article-title":"Identifying and targeting cancer-specific metabolism with network-based drug target prediction","volume":"43","author":"Pacheco","year":"2019","journal-title":"EBioMedicine"},{"key":"10.1016\/j.brainres.2026.150451_b0240","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"Pedregosa","year":"2011","journal-title":"the Journal of machine Learning research"},{"issue":"3","key":"10.1016\/j.brainres.2026.150451_b0245","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1038\/nbt.3122","article-title":"StringTie enables improved reconstruction of a transcriptome from RNA-seq reads","volume":"33","author":"Pertea","year":"2015","journal-title":"Nat. Biotechnol."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0250","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.1471-4159.2005.03168.x","article-title":"Monocarboxylate transporters in the central nervous system: distribution, regulation and function","volume":"94","author":"Pierre","year":"2005","journal-title":"J. Neurochem."},{"issue":"4","key":"10.1016\/j.brainres.2026.150451_b0255","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1007\/s12311-023-01628-z","article-title":"Efficacy and safety of repetitive transcranial magnetic stimulation in spinocerebellar ataxia type 3: a systematic review and meta-analysis of randomized controlled trials","volume":"23","author":"Qiu","year":"2024","journal-title":"Cerebellum"},{"issue":"17","key":"10.1016\/j.brainres.2026.150451_b0260","doi-asserted-by":"crossref","first-page":"3362","DOI":"10.1093\/hmg\/ddx224","article-title":"Comparison of spinocerebellar ataxia type 3 mouse models identifies early gain-of-function, cell-autonomous transcriptional changes in oligodendrocytes","volume":"26","author":"Ramani","year":"2017","journal-title":"Hum. Mol. Genet."},{"issue":"3","key":"10.1016\/j.brainres.2026.150451_b0265","doi-asserted-by":"crossref","first-page":"167","DOI":"10.4093\/dmj.2012.36.3.167","article-title":"Retinoid metabolism and diabetes mellitus","volume":"36","author":"Rhee","year":"2012","journal-title":"Diabetes Metab. J."},{"issue":"4","key":"10.1016\/j.brainres.2026.150451_b0270","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1006867","article-title":"Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions","volume":"15","author":"Richelle","year":"2019","journal-title":"PLoS Comput. Biol."},{"issue":"4","key":"10.1016\/j.brainres.2026.150451_b0275","doi-asserted-by":"crossref","first-page":"731","DOI":"10.1002\/mds.23428","article-title":"Serum insulin\u2010like system alterations in patients with spinocerebellar ataxia type 3","volume":"26","author":"Saute","year":"2011","journal-title":"Mov. Disord."},{"issue":"8","key":"10.1016\/j.brainres.2026.150451_b0280","doi-asserted-by":"crossref","DOI":"10.1016\/j.jbc.2024.107524","article-title":"Significance and amplification methods of the purine salvage pathway in human brain cells","volume":"300","author":"Sekine","year":"2024","journal-title":"J. Biol. Chem."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0285","doi-asserted-by":"crossref","first-page":"93","DOI":"10.1038\/nprot.2009.203","article-title":"A protocol for generating a high-quality genome-scale metabolic reconstruction","volume":"5","author":"Thiele","year":"2010","journal-title":"Nat. Protoc."},{"issue":"1","key":"10.1016\/j.brainres.2026.150451_b0290","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1186\/s13024-018-0261-9","article-title":"Transcriptional profiling and biomarker identification reveal tissue specific effects of expanded ataxin-3 in a spinocerebellar ataxia type 3 mouse model","volume":"13","author":"Toonen","year":"2018","journal-title":"Mol. Neurodegener."},{"issue":"11","key":"10.1016\/j.brainres.2026.150451_b0295","doi-asserted-by":"crossref","first-page":"3306","DOI":"10.3390\/ijms19113306","article-title":"Type 2 diabetes mellitus and Alzheimer\u2019s disease: role of insulin signalling and therapeutic implications","volume":"19","author":"Tumminia","year":"2018","journal-title":"Int. J. Mol. Sci."},{"issue":"11","key":"10.1016\/j.brainres.2026.150451_b0300","article-title":"Visualizing data using t-SNE","volume":"9","author":"Van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"issue":"3","key":"10.1016\/j.brainres.2026.150451_b0305","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1038\/s41592-019-0686-2","article-title":"SciPy 1.0: fundamental algorithms for scientific computing in Python","volume":"17","author":"Virtanen","year":"2020","journal-title":"Nat. Methods"},{"issue":"16","key":"10.1016\/j.brainres.2026.150451_b0310","doi-asserted-by":"crossref","first-page":"2184","DOI":"10.1093\/bioinformatics\/bts356","article-title":"RSeQC: quality control of RNA-seq experiments","volume":"28","author":"Wang","year":"2012","journal-title":"Bioinformatics"},{"key":"10.1016\/j.brainres.2026.150451_b0315","series-title":"Proceedings of the 2017 international conference on biomedical engineering and bioinformatics","article-title":"A simple process of RNA-sequence analyses by Hisat2, Htseq and DESeq2","author":"Wen","year":"2017"},{"issue":"2","key":"10.1016\/j.brainres.2026.150451_b0320","doi-asserted-by":"crossref","first-page":"467","DOI":"10.1016\/j.bbrc.2020.05.116","article-title":"Growth hormone rescue cerebellar degeneration in SCA3 transgenic mice","volume":"529","author":"Wu","year":"2020","journal-title":"Biochem. Biophys. Res. Commun."},{"key":"10.1016\/j.brainres.2026.150451_b0325","doi-asserted-by":"crossref","first-page":"328","DOI":"10.1016\/j.neuroscience.2020.04.004","article-title":"Global knockdown of retinoid-related orphan receptor \u03b1 in mature Purkinje cells reveals aberrant cerebellar phenotypes of spinocerebellar ataxia","volume":"462","author":"Yasui","year":"2021","journal-title":"Neuroscience"},{"issue":"5","key":"10.1016\/j.brainres.2026.150451_b0330","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1089\/omi.2011.0118","article-title":"clusterProfiler: an R package for comparing biological themes among gene clusters","volume":"16","author":"Yu","year":"2012","journal-title":"OMICS"}],"container-title":["Brain Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899326003112?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0006899326003112?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,8]],"date-time":"2026-08-08T20:08:35Z","timestamp":1786219715000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0006899326003112"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":66,"alternative-id":["S0006899326003112"],"URL":"https:\/\/doi.org\/10.1016\/j.brainres.2026.150451","relation":{},"ISSN":["0006-8993"],"issn-type":[{"value":"0006-8993","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Transcriptome-guided modeling reveals insulin-related metabolic dysfunction in SCA3 mouse cerebellum","name":"articletitle","label":"Article Title"},{"value":"Brain Research","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.brainres.2026.150451","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"150451"}}