1.

General project information and proteomic data: This email address is being protected from spambots. You need JavaScript enabled to view it.

2.

DNA microarray expression data and protocols: This email address is being protected from spambots. You need JavaScript enabled to view it.

3.

Vectors and protocols for hairy root transformation: This email address is being protected from spambots. You need JavaScript enabled to view it.

4.

Educational Materials (e.g., high school teacher workshop): This email address is being protected from spambots. You need JavaScript enabled to view it.

Proteomics is the study of the structure, function and interaction of proteins. Proteins play a critical role in the life of any organism by being involved in many processes within the cell. The proteome, which is the complete collection of proteins in an organism, is much more complicated to study than the genome or transcriptome. An organism harboring 20 000 genes can have more than 1 million different proteins due to alternative splicing and post-translational modifications. Furthermore, the level of transcription of a gene often does not reflect the level of the encoded protein. An mRNA can be present in numerous copies in a cell but the mRNA stability (half life) and efficiency of translation will affect the level of the corresponding protein. A protein can also be present in a cell but inactive until subjected to post-translational modifications like phosphorylation. Finally, many proteins can interact with other proteins and only the resulting complex may have biological function. The measurement of mRNA levels via transcriptomics (e.g., via the use DNA microarrays, see discussion of this subject on our website) is complimentary to proteomics.

  • Define the role of transcription factor binding and miRNA action in regulating the root hair response to rhizobial infection.
  • Utilize proteomic approaches to examine the role of protein-protein complex formation and protein phosphorylation in the root hair response to rhizobial infection.
  • Develop and apply computational systems biology methods to study genes, proteins, non-coding RNAs, metabolites, and pathways involved in root hair rhizobial infection by integrating dissimilar experimental data.
  • Provide education and outreach opportunities to high school teachers, as well as K-12 students and college freshmen.

  • Analyze the transcriptional response of root hair cells under conditions of abiotic stress (i.e., heat and drought stress)
  • Analyze proteomic and metabolomic changes in root hair cells under conditions of abiotic stress (i.e., heat and drought stress)
  • Utilize the tools and information developed in Objectives 1-2 to develop descriptive models of root hair metabolic function.

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