| Literature DB >> 20233395 |
Mark de Jong1, Han Rauwerda, Oskar Bruning, Jurgo Verkooijen, Herman P Spaink, Timo M Breit.
Abstract
BACKGROUND: Transcriptome analysis during embryogenesis usually requires pooling of embryos to obtain sufficient RNA. Hence, the measured levels of gene-expression represent the average mRNA levels of pooled samples and the biological variation among individuals is confounded. This can irreversibly reduce the robustness, resolution, or expressiveness of the experiment. Therefore, we developed a robust method to isolate abundant high-quality RNA from individual embryos to perform single embryo transcriptome analyses using zebrafish as a model organism. Available methods for embryonic zebrafish RNA isolation minimally utilize ten embryos. Further downscaling of these methods to one embryo is practically not feasible.Entities:
Year: 2010 PMID: 20233395 PMCID: PMC2845602 DOI: 10.1186/1756-0500-3-73
Source DB: PubMed Journal: BMC Res Notes ISSN: 1756-0500
Figure 1Validation of the RNA isolation method from single zebrafish embryos. (a) RNA RIN values and (b) yields from: Single, individual embryos (4); Semi-single, homogenized, pooled, and split embryo material (4, see text); Developmental, embryos from the 16-cell to 8-somite stage (8); Unfertilized, unfertilized eggs (30); Epibolic, embryos from dome stage to 90% epiboly (186). Stages and RNA yield could not be linked. Note that RIN values show overlap because of a single decimal place measurement accuracy. (c) Mean, unnormalized log2 signal intensities from microarray analysis (smooth bar, foreground signal and scatter board bar, background signal). (d) Principal component analysis (PCA) of the unnormalized log2 ratios (test/reference) from the Single and Semi-single samples. (e) Spearman correlations showing the similarity of the unnormalized microarray data from Single and Semi-single samples.
Figure 2Dissecting zebrafish development with microarray analysis. (a) Eight selected embryos ranging from the 16-cell to 8-somite stage. (b) Mean, unnormalized log2 signal intensities from microarray analysis (smooth bars, foreground signal and scatter board bars, background signal). (c) Principal component analysis (PCA) on unnormalized log2 ratio data (test/reference) showing a 'developmental' curve starting at the 16-cell stage and ending at the 8-somite stage. (d) Spearman correlations between the samples reflect the developmental distance.