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Updated: Jun 18, 2025

High-throughput, Microscale Protocol for the Analysis of Processing Parameters and Nutritional Qualities in Maize Zea mays L.
Published on: June 16, 2018
The Zea mays PeptideAtlas: A New Maize Community Resource
Klaas J van Wijk1, Tami Leppert2, Zhi Sun2
1Section of Plant Biology, School of Integrative Plant Sciences (SIPS), Cornell University, Ithaca, New York 14853, United States.
The Maize PeptideAtlas resource offers a unified analysis of maize proteome data. This comprehensive database aids researchers in understanding maize genetics and protein functions.
Area of Science:
- Proteomics
- Bioinformatics
- Genomics
Background:
- The maize proteome presents complex challenges for comprehensive analysis.
- Existing maize proteomic datasets are fragmented and lack uniform processing.
- Understanding maize protein diversity is crucial for crop improvement.
Purpose of the Study:
- To establish a centralized and uniformly processed resource for maize proteomic data.
- To enhance the annotation and understanding of the maize genome.
- To provide a platform for exploring post-translational modifications in maize.
Main Methods:
- Reanalysis of publicly available maize tandem mass spectrometry (MS/MS) data from ProteomeXchange.
- Uniform processing and metadata annotation pipeline applied to raw MS/MS spectra.
- Comprehensive protein database searching against multiple maize genome annotations (B73 and W22).
Main Results:
- Identification of 120 million unique peptides from 445 million MS/MS spectra.
- Matched peptides to 66.2% of proteins in the B73 nuclear genome annotation.
- Detected conserved plastid- and mitochondrial-encoded proteins, and various post-translational modifications.
Conclusions:
- The Maize PeptideAtlas provides a valuable, integrated resource for maize research.
- The study significantly improves maize genome annotation and protein identification.
- The resource facilitates detailed investigation of maize proteome and its modifications.
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