Abstract

Microalgae are gaining attention in industry for their high value-added biomolecules and biomass production and for studying fundamental processes in biology. The introduction of novel approaches for understanding and modeling molecular networks at different omic levels is paramount for increasing the productivity of these organisms. However, the construction of these networks requires high quality datasets with, if possible, perfectly overlapping datasets. The employ of different materials for different biomolecule isolation protocols, even if they come from the same homogenate, is one of the commonest issues affecting quality. Hence, a new method has been developed, allowing for the combined extraction of different levels including total metabolites, or their pigments or lipid fractions along nucleic acids (DNA and RNA) and/or proteins from the same sample reducing biological and time variation between levels data.

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