作者: Kendra E Hargis , Eric M Blalock
DOI: 10.1016/J.BBR.2016.05.007
关键词: Gene 、 Transcriptome 、 Bioinformatics 、 Transgene 、 Gene expression profiling 、 Concordance 、 Risk factor 、 Alzheimer's disease 、 Psychology 、 Disease
摘要: Aging is the biggest risk factor for idiopathic Alzheimer's disease (AD). Recently, National Institutes of Health released AD research recommendations that include: appreciating normal brain aging, expanding data-driven research, using open-access resources, and evaluating experimental reproducibility. Transcriptome data sets aging in humans animal models are available NIH-curated, publically accessible databases. However, little work has been done to test concordance among those molecular signatures. Here, we hypothesis transcriptional profiles from recapitulate observed human condition. Raw profile twenty-nine studies were analyzed produce p-values fold changes young vs. aged or control conditions. Concordance across was assessed at three levels: (1) # significant genes expected by chance; (2) proportion showing directional agreement; (3) correlation magnitude effect genes. The highest found within subjects regions. Normal concordant studies, regions, species, despite profound differences chronological humans, rats mice. Human structures but not with transgenic mouse models. Further, five one another. These results suggest similar animals, different model mice may reflect selected aspects pathology.