Assessment and Refinement of Sample Preparation Methods for Deep and Quantitative Plant Proteome Profiling

Area of Science:

• Proteomics
• Plant Biology
• Biochemistry

Background:

• Comprehensive proteome profiling is crucial for understanding plant biology.
• Existing sample preparation methods often face challenges with plant tissues, limiting protein extraction efficiency.
• High-quality peptide generation is essential for accurate and deep proteome analysis using LC-MS.

Purpose of the Study:

• To evaluate and optimize sample preparation techniques for plant proteomics.
• To develop a robust and efficient method for deep proteome profiling of plant leaf and root tissues.
• To address the challenge of obtaining high-quality peptides from difficult-to-process plant samples.

Main Methods:

• Evaluation of various sample preparation methods using photosynthetically active Arabidopsis leaf tissue.
• Implementation and modification of filter-aided sample preparation (FASP) utilizing filter digestion.
• Development of a detergent-free urea-FASP protocol.

Main Results:

• Filter-aided sample preparation (FASP) significantly improved protein extraction across tested methods.
• The optimized detergent-free urea-FASP method demonstrated deep and robust quantification of plant proteomes.
• Profiling of up to 11,690 proteins from a single replicate of 4-day-old leaf tissue was achieved.

Conclusions:

• The detergent-free urea-FASP method is highly effective for plant sample preparation in proteomics.
• This approach enables comprehensive and robust proteome profiling, even from challenging plant tissues.
• The method is broadly applicable to researchers working with diverse and difficult-to-process plant samples.