Expression profiling of Arabidopsis leaf, flower and fruit development

With the quantitative profiling of consecutive tissue growth stages, we provide a global overview of expression changes of individual genes that play a role in dynamic cellular processes and developmental changes. We used tandem mass tag-based mass spectrometry and RNA sequencing to generate proteomic, phosphoproteomic and transcriptomic expression profiles for rosette leaf, flower and fruit tissue samples of the model plant Arabidopsis thaliana. In doing so, we have generated a multi-omics dataset of progressive changes during the development of three important plant organ types that can be used to study the underlying molecular mechanisms from different angles.