analysis of chaperone mrna expression in the adult mouse brain by meta analysis of the allen brain atlas分析成人伴侣蛋白mrna表达的小鼠大脑艾伦大脑图集的meta分析.pdfVIP

analysis of chaperone mrna expression in the adult mouse brain by meta analysis of the allen brain atlas分析成人伴侣蛋白mrna表达的小鼠大脑艾伦大脑图集的meta分析.pdf

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analysis of chaperone mrna expression in the adult mouse brain by meta analysis of the allen brain atlas分析成人伴侣蛋白mrna表达的小鼠大脑艾伦大脑图集的meta分析

Analysis of Chaperone mRNA Expression in the Adult Mouse Brain by Meta Analysis of the Allen Brain Atlas Andrew T. N. Tebbenkamp*, David R. Borchelt* Department of Neuroscience, SantaFe Health Alzheimer’s Disease Center, McKnight Brain Institute, University of Florida, Gainesville, Florida, United States of America Abstract The pathology of many neurodegenerative diseases is characterized by the accumulation of misfolded and aggregated proteins in various cell types and regional substructures throughout the central and peripheral nervous systems. The accumulation of these aggregated proteins signals dysfunction of cellular protein homeostatic mechanisms such as the ubiquitin/proteasome system, autophagy, and the chaperone network. Although there are several published studies in which transcriptional profiling has been used to examine gene expression in various tissues, including tissues of neurodegenerative disease models, there has not been a report that focuses exclusively on expression of the chaperone network. In the present study, we used the Allen Brain Atlas online database to analyze chaperone expression levels. This database utilizes a quantitative in situ hybridization approach and provides data on 270 chaperone genes within many substructures of the adult mouse brain. We determined that 256 of these chaperone genes are expressed at some level. Surprisingly, relatively few genes, only 30, showed significant variations in levels of mRNA across different substructures of the brain. The greatest degree of variability was exhibited by genes of the DnaJ co-chaperone, Tetratricopeptide repeat, and the HSPH families. Our analysis provides a valuable resource towards determining how variations in chaperone gene expression may modulate the vulnerability

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