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Translational microarray analysis of liver samples treated with PredTox hepatotoxic compound FP014SC

ABSTRACT: Liver samples were lysed (15 mM Tris-HCl (pH 8.0), 300 mM NaCl and 15 mM MgCl2, plus inhibitors (1 mg/ml heparin 100 µg/ml cycloheximide and 80 U RNAsin)), added to a 10-50% sucrose gradient and ultracentrifuged at 182,000x g for 2 hours. The gradient was aliquotted into 16 1ml fractions and added to Tri reagent (Sigma). RNA was extracted as per the manufacturer's instructions and then sub-pooled into fractions corresponding to monosomes, light polysomes, medium polysomes and heavy polysomes, according to ribosomal density (more ribosomal occupancy = higher translational activity = heavier, and therefore, located in the more dense fractions). Microarray analysis was performed by hybridising control (vehicle treated) monosomes against test (high-dose treated) monosomes on one microarray, control light polysomes against test light polysomes on a second microarray, and so forth for each sub-pool of fractions. Following microarray analysis there were a maximum of four values for each mRNA, corresponding to the proportional representation of that mRNA within each sub-pool of fractions. By calculating the change in values, i.e. degree of slope, across the monosomal region, the light polysomal region, the medium polysomal region and the dense polysomal region it was possible to determine any translational change in activity. In addition, the overall transcriptional change could be analysed for each mRNA.

ORGANISM(S): Mus musculus Rattus norvegicus

PROVIDER: GSE38807 | GEO | 2012/06/21

SECONDARY ACCESSION(S): PRJNA169073

REPOSITORIES: GEO

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Project description:Purpose: mRNA translation into protein is highly regulated, but the role of mRNA isoforms, noncoding RNAs (ncRNAs), and genetic variants has yet to be systematically studied. Using high-throughput sequencing (RNA-seq), we have measured cellular levels of mRNAs and ncRNAs, and their isoforms, in lymphoblast cell lines (LCL) and in polysomal fractions, the latter shown to yield strong correlations of mRNAs with expressed protein levels. Analysis of allelic RNA ratios at heterozygous SNPs served to reveal genetic factors in ribosomal loading. Methods: RNA-seq was performed on cytosolic extracts and polysomal fractions (3 ribosomes or more) from three lymphoblastoid cell lines. As each RNA fraction was amplified (NuGen kit), and relative contributions from various RNA classes differed between cytosol and polysomes, the fraction of any given RNA species loaded onto polysomes was difficult to quantitate. Therefore, we focused on relative recovery of the various RNA classes and rank order of single RNAs compared to total RNA. Results: RNA-seq of coding and non-coding RNAs (including microRNAs) in three LCLs revealed significant differences in polysomal loading of individual RNAs and isoforms, and between RNA classes. Moreover, correlated distribution between protein-coding and non-coding RNAs suggests possible interactions between them. Allele-selective RNA recruitment revealed strong genetic influence on polysomal loading for multiple RNAs. Allelic effects can be attributed to generation of different RNA isoforms before polysomal loading or to differential loading onto polysomes, the latter defining a direct genetic effect on translation. Several variants and genes identified by this approach are also associated with RNA expression and clinical phenotypes in various databases. Conclusions: These results provide a novel approach using complete transcriptome RNA-seq to study polysomal RNA recruitment and regulatory variants affecting protein translation.

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Translational microarray analysis of liver samples treated with PredTox hepatotoxic compound FP014SC

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