Abstract

Amyloid precursor protein (APP) and amyloid precursor-like protein 2 (APLP2) are members of a multigene family of proteins implicated in the pathogenesis of Alzheimer's disease. We describe the development of an RNA-RNA solution hybridisation-RNase protection assay to quantify APP mRNA, APP mRNA splice forms containing the Kunitz-type protease inhibitor (KPI) insert, and APLP2 mRNA in total nucleic acid extracts from a range of tissue types. Solution hybridisation-RNase protection assay enables absolute quantification of target mRNA, by conversion of the hybridisation signal to pg mRNA using a standard curve. The assay is sensitive, capable of detecting 1 pg target mRNA, and reproducible, with an inter-assay variability of less than 10% and an intra-assay variability of 3–4%. We quantified APP and APLP2 mRNA in cell lines and post-mortem human brain tissue samples. To test whether we could detect physiological differences in APP mRNA levels, a fibroblast cell line with a paternal chromosome 21 deletion of the region including the APP gene was analysed and found to express half as much APP mRNA as control fibroblasts. In addition, a reversible, approx. 30% increase in APP mRNA levels was detected in human lymphoblastoid cell lines following heat shock, a physical stimulus previously shown to increase APP expression. Regional differences in the expression of APP and APLP2 were seen in human post-mortem cerebral cortex and cerebellum. Levels of APP and APLP2 mRNA were highest in the temporal cortex, slightly lower in frontal and occipital cortices, and lowest in the cerebellum. The highest proportion of KPI-containing APP was seen in the frontal and temporal cortices. The ratio of APP:APLP2 mRNA was 1:0.3 in the cortical tissue and 1:0.8 in the cerebellum. In conclusion, quantitative solution hybridisation-RNase protection assay of total APP, APP KPI and APLP2 mRNA provides a new tool to improve the resolution of studies of potentially subtle alterations in the expression of these genes in both cell culture model systems and Alzheimer's disease post-mortem human brain tissue.

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