Nancy L. Andon

Proteomic survey of metabolic pathways in rice

A systematic proteomic analysis of rice (Oryza sativa) leaf, root, and seed tissue using two independent technologies, two-dimensional gel electrophoresis followed by tandem mass spectrometry and multidimensional protein identification technology, allowed the detection and identification of 2,528 unique proteins, which represents the most comprehensive proteome exploration to date. A comparative display of the expression patterns indicated that enzymes involved in central metabolic pathways are present in all tissues, whereas metabolic specialization is reflected in the occurrence of a tissue-specific enzyme complement. For example, tissue-specific and subcellular compartment-specific isoforms of ADP-glucose pyrophosphorylase were detected, thus providing proteomic confirmation of the presence of distinct regulatory mechanisms involved in the biosynthesis and breakdown of separate starch pools in different tissues. In addition, several previously characterized allergenic proteins were identified in the seed sample, indicating the potential of proteomic approaches to survey food samples with regard to the occurrence of allergens.

Proteomic characterization of wheat amyloplasts using identification of proteins by tandem mass spectrometry

We describe the initial characterization of the wheat amyloplast proteome, consisting of the identification and classification of 171 proteins. Whole amyloplasts and purified amyloplast membranes were prepared from wheat (Triticum aestivum). Protein extracts were examined by one‐dimensional and two‐dimensional electrophoresis, followed by high performance liquid chromatography‐tandem mass spectrometry of separated proteins. Tandem mass spectrometry data of individual peptides was then searched by SEQUEST, using a database containing known protein sequences from both wheat and other homologous cereal crops. Using this approach we identified 108 proteins from whole amyloplasts and 63 proteins from purified amyloplast membranes. The majority of protein identifications were derived from protein sequences from cereal crops other than wheat, for which relatively little gene sequence data is available. The highest percentage of protein identifications obtained from any individual species was 46% of the total number of proteins identified, using sequence data found in our proprietary rice (Oryza sativa) genome database.

Investigative Proteomics: Identification of an Unknown Plant Virus from Infected Plants Using Mass Spectrometry

We describe the identification of a previously uncharacterized plant virus that is capable of infecting Nicotiana spp. and Arabidopsis thaliana. Protein extracts were first prepared from leaf tissue of uninfected tobacco plants, and the proteins were visualized with two-dimensional electrophoresis (2-DE). Matching gels were then run using protein extracts of a tobacco plant infected with tobacco mosaic virus (TMV). After visual comparison, the proteins spots that were differentially expressed in infected plant tissues were cut from the gels and analyzed by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Tandem mass spectrometry data of individual peptides was searched with SEQUEST. Using this approach we demonstrated a successful proof-of-concept experiment by identifying TMV proteins present in the total protein extract. The same procedure was then applied to tobacco plants infected with a laboratory viral isolate of unknown identity. Several of the differentially expressed protein spots were identified as proteins of potato virus X (PVX), thus successfully identifying the causative agent of the uncharacterized viral infection. We believe this demonstrates that HPLC-MS/MS can be used to successfully characterize unknown viruses in infected plants.