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Table 4. Proteomics Technology Development Roadmap (acronyms)

Technology Objectives

Research, Design, Development

Demonstration: Pilots and Modular Deployment

Integration and Production Deployment

Products

High-Throughput Protein Profiling

Sample processing

MS for global proteomics

Other analysis techniques

Data processing and analysis

QA/QC

Define:

  • Workflow processes
  • Lab automation and robotics
  • QC instrumentation and processes
  • Improved detection limits, reproducibility and dynamic range
  • Hardware, software, instrumentation

Develop methods:

  • Peptide identification and quantitation
  • Identification of protein modifications
  • Analysis of intact proteins, including membrane associated proteins

Whole-proteomics pipeline:

  • Optimization and scaleup
  • Improved standards, protocols, costs
  • Pilot of global proteomics database development
  • Determination of global state of modification of cellular proteins

Evaluate and implement:

  • Hardware advances
  • Software advances
  • Instrumentation advances

Establish high-throughput pipeline based on defined standards, protocols, costs

High-quality, comprehensive proteome data linked to experiment archive and culture and sample data

To develop and incorporate the necessary technologies and methods into a high-throughput production environment, a phased process will be followed as described in this roadmap. The process includes research, design, and development; modular and pilot-scale deployment; and final integration and scaleup into operational procedures.