A Portal to Visualize Transcriptome Profiles in Mouse Models of Neurological Disorders

被引:7
|
作者
Al-Ouran, Rami [1 ,2 ]
Wan, Ying-Wooi [1 ,2 ]
Mangleburg, Carl Grant [2 ,3 ]
Lee, Tom, V [2 ,3 ]
Allison, Katherine [2 ,3 ]
Shulman, Joshua M. [2 ,3 ,4 ,5 ]
Liu, Zhandong [1 ,2 ]
机构
[1] Baylor Coll Med, Dept Pediat, Houston, TX 77030 USA
[2] Texas Childrens Hosp, Jan & Duncan Neurol Res Inst, Houston, TX 77030 USA
[3] Baylor Coll Med, Dept Neurol, Houston, TX 77030 USA
[4] Baylor Coll Med, Dept Mol & Human Genet, Houston, TX 77030 USA
[5] Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA
关键词
neurodegeneration; neurological disorders; mouse models; transcriptomics; REVEALS; NETWORK;
D O I
10.3390/genes10100759
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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's diseases (AD), Parkinson's disease (PD), Huntington's disease (HD), Amyotrophic Lateral Sclerosis (ALS), Spinocerebellar ataxia (SCA), and models related to aging.
引用
收藏
页数:8
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