Proteome profiling

Service Description

Proteome profiling analysis refers to the analysis of an entire proteome from complex samples like complete cells, tissues and body fluids. It is most often used to identify as many peptides and proteins as possible. Proteome profiling analysis based on mass spectrometry (MS) can provide reference information for high-throughput quantitative proteomics and protein modification analysis.

 

Project Workflow
Proteome profiling is a cost effective, high value solution for monitoring hundreds-to-thousands of proteins simultaneously. We perform sample digestion using sequencing-grade trypsin or alternative proteolytic method, and then trypsin-digested peptide samples are analyzed using nano-flow LC-MS/MS. The spectral counting method provides information on protein relative abundances¹. Besides, our HPLC sample fractionation systems are highly recommended for complex sample types to reduce sample complexity and maximize protein sequence coverage and detection dynamic range

 

Service Specification

 Sample Preparation and Services

  • Digestion performed using sequencing-grade trypsin
  • Off-line sample fractionation using HPLC technology
  • Each fraction analyzed using nano-flow LC-MS/MS
  • Peptide Spectral Match (PSM) data utilized for constructing proteomic profile

 

Quality Standard

  • Summary includes all methods and data analysis
  • Reports provided in Excel or PDF format, RAW files available upon request

 

Turn Around Time

Typical 4-5 weeks from sample QC acceptance to data report delivery

 

Sample Requirements

SAMPLE TYPE

AMOUNT AND CONCENTRATION

MINIMUM SAMPLE VOLUME

Protein sample in liquid solution or in gel band/spot

Recommended 100 µg for each enzyme: 2 µg/µL

100 µL for each enzyme

Protein sample in liquid solution or in gel band/spot

Minimum Required 10 µg for each enzyme: 1 µg/µL

10 µL for each enzyme

 

Data Analysis

ADVANCED BIOINFORMATICS

  • Data analysis and validation performed with Mascot
  • GO (Gene ontology) category analysis
  • COG (Cluster of Orthologous Groups of proteins) category analysis
  • Pathway analysis