2013
Application of Photonic Crystal Arrays to Quantify Transcription Factors and Other Low Abundance Proteins in Soybean that Could Enhance Seed Composition and Yield (1320-532-5612)
Contributor/Checkoff:
Category:
Sustainable Production
Keywords:
(none assigned)
Parent Project:
This is the first year of this project.
Lead Principal Investigator:
Lila Vodkin, University of Illinois at Urbana-Champaign
Co-Principal Investigators:
Project Code:
1320-532-5612
Contributing Organization (Checkoff):
Institution Funded:
Brief Project Summary:

Unique Keywords:
#seed composition
Information And Results
Project Deliverables

- Determine improvement of detection limits for rare abundance proteins such as transcription factors using photonic crystal array technology
- Determine applicability of using synthetic peptides for effective antibody production that recognize the protein in the native state in plant extracts.
- Demonstrate array methods that are scalable to higher throughput, as compared to immunoblotting or other protein detection methods
- Develop methods to allow researchers to directly confirm the expression of proteins in cells, tissue, and organ systems of plants that are predicted from high throughput mRNA sequencing and sensitive microarrays.
- The research provides quantitative data on the specific protein levels. The technology could also be applied to detecting the foreign proteins produced by GM (genetically modified plants) to assess the success of the constructs.
- The research will provide proof of concept for a method that could be scaled up for proteomics approaches to detect hundreds of proteins simultaneously using synthetic peptide antibodies.
- Photonic crystal coated arrays should improve sensitivity of limits of detection for proteins of rare abundance, as transcription factors and enzymes that regulate important pathways including nutritional composition and plant disease resistance.

Final Project Results

The United Soybean Research Retention policy will display final reports with the project once completed but working files will be purged after three years. And financial information after seven years. All pertinent information is in the final report or if you want more information, please contact the project lead at your state soybean organization or principal investigator listed on the project.