{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T03:47:18Z","timestamp":1760240838591,"version":"build-2065373602"},"reference-count":14,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2019,9,26]],"date-time":"2019-09-26T00:00:00Z","timestamp":1569456000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Genes"],"abstract":"<jats:p>Target nomination for drug development has been a major challenge in the path to finding a cure for several neurological disorders. Comprehensive transcriptome profiles have revealed brain gene expression changes associated with many neurological disorders, and the functional validation of these changes is a critical next step. Model organisms are a proven approach for the elucidation of disease mechanisms, including screening of gene candidates as therapeutic targets. Frequently, multiple models exist for a given disease, creating a challenge to select the optimal model for validation and functional follow-up. To help in nominating the best mouse models for studying neurological diseases, we developed a web portal to visualize mouse transcriptomic data related to neurological disorders. Users can examine gene expression changes across mouse model studies to help select the optimal mouse model for further investigation. The portal provides access to mouse studies related to Alzheimer\u2019s diseases (AD), Parkinson\u2019s disease (PD), Huntington\u2019s disease (HD), Amyotrophic Lateral Sclerosis (ALS), Spinocerebellar ataxia (SCA), and models related to aging.<\/jats:p>","DOI":"10.3390\/genes10100759","type":"journal-article","created":{"date-parts":[[2019,9,27]],"date-time":"2019-09-27T03:03:15Z","timestamp":1569553395000},"page":"759","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["A Portal to Visualize Transcriptome Profiles in Mouse Models of Neurological Disorders"],"prefix":"10.3390","volume":"10","author":[{"given":"Rami","family":"Al-Ouran","sequence":"first","affiliation":[{"name":"Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA"},{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying-Wooi","family":"Wan","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA"},{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Carl Grant","family":"Mangleburg","sequence":"additional","affiliation":[{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"},{"name":"Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom V.","family":"Lee","sequence":"additional","affiliation":[{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"},{"name":"Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katherine","family":"Allison","sequence":"additional","affiliation":[{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"},{"name":"Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua M.","family":"Shulman","sequence":"additional","affiliation":[{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"},{"name":"Department of Neurology, Baylor College of Medicine, Houston, TX 77030, USA"},{"name":"Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA"},{"name":"Department of Neuroscience, Baylor College of Medicine, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhandong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA"},{"name":"Jan and Dan Duncan Neurological Research Institute, Texas Children\u2019s Hospital, Houston, TX 77030, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2019,9,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1038\/ng.2653","article-title":"The Genotype-Tissue Expression (GTEx) project","volume":"45","author":"Lonsdale","year":"2013","journal-title":"Nat. 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Neurosci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1016\/j.neuron.2015.11.013","article-title":"Purification and Characterization of Progenitor and Mature Human Astrocytes Reveals Transcriptional and Functional Differences with Mouse","volume":"89","author":"Zhang","year":"2016","journal-title":"Neuron"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"D774","DOI":"10.1093\/nar\/gky922","article-title":"The mouse Gene Expression Database (GXD): 2019 update","volume":"47","author":"Smith","year":"2019","journal-title":"Nucleic Acids Res."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1366","DOI":"10.1038\/s41467-018-03751-6","article-title":"Massive mining of publicly available RNA-seq data from human and mouse","volume":"9","author":"Lachmann","year":"2018","journal-title":"Nat. Commun."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Wan, Y.W., Al-Ouran, R., Mangleburg, C.G., Lee, T.V., Allison, K., Neuner, S., Kaczorowski, C., Phillip, V., Howell, G., and Martini-Stoica, H. (2019). Functional Dissection of Alzheimer\u2019s Disease Brain Gene Expression Signatures in Humans and Mouse Models. bioRxiv.","DOI":"10.1101\/506873"},{"key":"ref_7","unstructured":"Chang, W., Cheng, J., Allaire, J., Xie, Y., and McPherson, J. (2019, March 01). Shiny: Web Application Framework for R. Available online: https:\/\/cran.r-project.org\/web\/packages\/shiny\/index.html."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1600","DOI":"10.1093\/bioinformatics\/btx657","article-title":"heatmaply: An R package for creating interactive cluster heatmaps for online publishing","volume":"34","author":"Galili","year":"2018","journal-title":"Bioinformatics"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"707","DOI":"10.1016\/j.cell.2013.03.030","article-title":"Integrated Systems Approach Identifies Genetic Nodes and Networks in Late-Onset Alzheimer\u2019s Disease","volume":"153","author":"Zhang","year":"2013","journal-title":"Cell"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1038\/s41593-018-0154-9","article-title":"A molecular network of the aging human brain provides insights into the pathology and cognitive decline of Alzheimer\u2019s disease","volume":"21","author":"Mostafavi","year":"2018","journal-title":"Nat. Neurosci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1002\/glia.22754","article-title":"RNA-sequencing reveals oligodendrocyte and neuronal transcripts in microglia relevant to central nervous system disease: Comparative Microglia Transcriptomal Analysis","volume":"63","author":"Solga","year":"2015","journal-title":"Glia"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1325","DOI":"10.1038\/nn.4070","article-title":"Identification of neurodegenerative factors using translatome\u2013regulatory network analysis","volume":"18","author":"Brichta","year":"2015","journal-title":"Nat. Neurosci."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Nalls, M.A., Blauwendraat, C., Vallerga, C.L., Heilbron, K., Bandres-Ciga, S., Chang, D., Tan, M., Kia, D.A., Noyce, A.J., and Xue, A. (2018). Expanding Parkinson\u2019s disease genetics: Novel risk loci, genomic context, causal insights and heritable risk. bioRxiv.","DOI":"10.1101\/388165"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1504","DOI":"10.1002\/glia.23176","article-title":"Generation of a microglial developmental index in mice and in humans reveals a sex difference in maturation and immune reactivity: HANAMSAGAR","volume":"65","author":"Hanamsagar","year":"2017","journal-title":"Glia"}],"container-title":["Genes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4425\/10\/10\/759\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T13:24:52Z","timestamp":1760189092000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4425\/10\/10\/759"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,26]]},"references-count":14,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2019,10]]}},"alternative-id":["genes10100759"],"URL":"https:\/\/doi.org\/10.3390\/genes10100759","relation":{},"ISSN":["2073-4425"],"issn-type":[{"type":"electronic","value":"2073-4425"}],"subject":[],"published":{"date-parts":[[2019,9,26]]}}}