This paper provides results of somatic embryogenesis study in our laboratory. General description of somatic embryogenesis (SE) induction, maturation of somatic embryos and plantlets regeneration of the Abies species, followed by a comparisons of some characteristics of zygotic and somatic embryos, seedlings and emblings (somatic seedlings). Own results are supplemented with some literature data. Also aplication of SE for improving of plantlet regeneration of elite fir trees from Dobroč primeval is described as well as initiation of the SE from seeds of incompatible crossings of firs where zygotic embryos abort usually several weeks after pollination
Obtaining adequate samples for nucleic acid or protein analysis from a limited number of cells can be a difficult task. The steps for isolation of DNA, cytoplasmic RNA and nuclear proteins from mononuclear cells collected from a single peripheral blood sample are outlined below. A previously described technique for rapid isolation of nuclear proteins was modified to acquire RNA and DNA of sufficient quantity and quality to perform analyses at the molecular level without altering the quality of protein extracted. This approach is applicable for use with peripheral blood mononuclear cells, primary cultures and immortalized cell lines.
The establishment of technologies for high-throughput DNA sequencing (genomics), gene expression (transcriptomics), metabolite and ion analysis (metabolomics/ionomics) and protein analysis (proteomics) carries with it the challenge of processing and interpreting the accumulating data sets. Publicly accessible databases and newly development and adapted bioinformatic tools are employed to mine this data in order to filter relevant correlations and create models describing physiological states. These data allow the reconstruction of networks of interactions of the various cellular components as enzyme activities and complexes, gene expression, metabolite pools or pathway flux modes. Especially when merging information from transcriptomics, metabolomics and proteomics into consistent models, it will be possible to describe and predict the behaviour of biological systems, for example with respect to endogenous or environmental changes. However, to capture the interactions of network elements requires measurements under a variety of conditions to generate or refine existing models. The ultimate goal of systems biology is to understand the molecular principles governing plant responses and consistently explain plant physiology.
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