Pollen cultivation and preparation for proteomic studies

In Vivo Cross-Linking to Analyze Transient Protein-Protein Interactions

Cross-linking converts noncovalent interactions between proteins into covalent bonds. The now artificially fused molecules are stable during purification steps (e.g., immunoprecipitation). In combination with a variety of techniques, including Western blotting, mass spectrometry (MS), and bioinformatics, this technology provides improved opportunities for modelling structural details of functional complexes in living cells and protein-protein interaction networks. The presented strategy of immunoaffinity purification and mass spectrometry (AP-MS) coupled with in vivo cross-linking can easily be adapted as a robust workflow in interactome analyses of various species, also nonmodel organisms.

Highly Efficient Single-Step Enrichment of Low Abundance Phosphopeptides from Plant Membrane Preparations

Mass spectrometry (MS)-based large scale phosphoproteomics has facilitated the investigation of plant phosphorylation dynamics on a system-wide scale. However, generating large scale data sets for membrane phosphoproteins usually requires fractionation of samples and extended hands-on laboratory time. To overcome these limitations, we developed "ShortPhos," an efficient and simple phosphoproteomics protocol optimized for research on plant membrane proteins. The optimized workflow allows fast and efficient identification and quantification of phosphopeptides, even from small amounts of starting plant materials. "ShortPhos" can produce label-free datasets with a high quantitative reproducibility. In addition, the "ShortPhos" protocol recovered more phosphorylation sites from membrane proteins, especially plasma membrane and vacuolar proteins, when compared to our previous workflow and other membrane-based data in the PhosPhAt 4.0 database. We applied "ShortPhos" to study kinase-substrate relationships within a nitrate-induction experiment on Arabidopsis roots. The "ShortPhos" identified significantly more known kinase-substrate relationships compared to previous phosphoproteomics workflows, producing new insights into nitrate-induced signaling pathways.

De novo sequencing and analysis of the lily pollen transcriptome: an open access data source for an orphan plant species

Pollen grains of Lilium longiflorum are a long-established model system for pollen germination and tube tip growth. Due to their size, protein content and almost synchronous germination in synthetic media, they provide a simple system for physiological measurements as well as sufficient material for biochemical studies like protein purifications, enzyme assays, organelle isolation or determination of metabolites during germination and pollen tube elongation. Despite recent progresses in molecular biology techniques, sequence information of expressed proteins or transcripts in lily pollen is still scarce. Using a next generation sequencing strategy (RNAseq), the lily pollen transcriptome was investigated resulting in more than 50 million high quality reads with a length of 90 base pairs. Sequenced transcripts were assembled and annotated, and finally visualized with MAPMAN software tools and compared with other RNAseq or genome data including Arabidopsis pollen, Lilium vegetative tissues and the Amborella trichopoda genome. All lily pollen sequence data are provided as open access files with suitable tools to search sequences of interest.