2D-DIGE Based Protein Quantitative Service

Principle of 2D-DIGE-Based Proteomics

Two-dimensional difference gel electrophoresis (2D-DIGE) is a gel-based proteomics technology developed from conventional two-dimensional electrophoresis (2-DE). It separates complex protein mixtures in two dimensions: isoelectric focusing (IEF) based on protein pI, followed by SDS-PAGE separation according to molecular weight.

Mcnamara L E. Journal of the Royal Society Interface. 2010.

Figure 1. Principle of 2D-DIGE-Based Proteomics

Compared with traditional 2-DE, 2D-DIGE uses fluorescent labeling dyes (e.g., Cy2, Cy3, and Cy5) to analyze multiple samples on the same gel, reducing gel-to-gel variation and improving reproducibility for comparative protein expression analysis.

Differences Between 2D-DIGE and 2-DE Protein Analysis

Feature	2-DE	2D-DIGE
Protein separation method	Two-dimensional separation based on isoelectric point and molecular weight	Two-dimensional separation based on isoelectric point and molecular weight
Detection method	Staining-based detection, such as Coomassie Brilliant Blue or silver staining	Fluorescence dye-based detection
Quantification method	Comparison based on protein spot staining intensity	Comparison based on fluorescence signal intensity
Sample comparison strategy	Usually requires comparison between different gels	Multiple samples can be analyzed on the same gel
Advantages	Mature technology suitable for protein separation and identification	Higher reproducibility and improved accuracy for comparative analysis

When This Service Is a Good Fit

1. Differential Protein Expression Studies

2D-DIGE-based protein analysis is suitable for comparing protein expression patterns under different experimental conditions, disease states, or treatment factors to identify proteins with potential biological relevance.

 

2. Studies Requiring Analysis of Intact Protein Forms

This approach is suitable for research requiring visualization of proteins based on their two-dimensional separation characteristics, including information related to protein isoelectric points and molecular weights.

 

3. Analysis of Protein Migration Changes and Protein Forms

2D gel-based analysis can be applied to studies focusing on changes in protein migration patterns caused by post-translational modifications, protein processing, cleavage, or degradation events.

 

4. Candidate Protein Screening and Identification

This workflow is suitable for selecting protein spots from two-dimensional gels and identifying the corresponding proteins through LC-MS/MS analysis, supporting candidate protein discovery and characterization.

Service at MtoZ Biolabs

Service Type	Description
2D Gel-Based Protein Analysis Service	Proteins are separated using conventional two-dimensional gel electrophoresis and visualized through staining-based detection. Selected protein spots can be excised for in-gel digestion, LC-MS/MS DDA mode, database searching, and protein identification. Basic data organization and identification result tables are provided.
Conventional 2D-SDS-PAGE Analysis Workflow	For studies requiring protein separation based on isoelectric point and molecular weight information, we provide conventional 2D-SDS-PAGE-based protein separation workflows.
Optional Service: Western Blot Validation	Following two-dimensional gel separation and staining analysis, selected protein targets can be further validated by Western Blot according to research objectives for specific protein expression analysis.
Optional Service: LC-MS/MS Identification of Gel-Excised Protein Spots	After two-dimensional gel separation, selected protein spots are excised from the gel and analyzed through in-gel digestion and LC-MS/MS detection to obtain protein identification information, supporting unknown protein spot identification and candidate protein screening.

This service does not include Cy2/Cy3/Cy5 fluorescent dye labeling, DIGE-specific fluorescence scanning, or fluorescence-based DIGE quantification analysis.

It should be noted that two-dimensional gel analysis can also provide relative comparisons based on protein spot staining intensity. However, this type of measurement is generally not equivalent to MS-based quantitative proteomics approaches that provide large-scale, data-driven protein quantification.

 

For studies requiring broad protein coverage and high-throughput quantitative analysis, MtoZ Biolabs recommends LC-MS/MS-based quantitative proteomics strategies, including DIA, TMT, or LFQ.

Service Advantages

1. Orbitrap High-Resolution Mass Spectrometry

Orbitrap LC-MS/MS provides high-resolution protein identification from gel-separated spots, combining accurate mass detection with two-dimensional gel separation information for reliable candidate protein analysis.

 

2. Applicable to Diverse Biological Samples

This workflow supports various sample types, including cells, tissues, serum, urine, and cerebrospinal fluid, with flexible sample preparation strategies based on research needs.

 

3. Flexible Downstream Validation Strategies

Gel-separated proteins can be further analyzed by Western Blot validation or LC-MS/MS identification, supporting candidate protein discovery and confirmation.

Sample Submission Requirements

Category	Requirements
Supported Sample Types and Species	Supports various biological samples, including animal tissues, plant tissues, cells, microorganisms, and body fluid samples. Samples can be provided as original biological materials or protein extracts for two-dimensional gel separation, protein spot analysis, Western Blot validation, or LC-MS/MS identification after gel excision.
Recommended Sample Amount and Concentration	A total protein amount of ≥500 μg and protein concentration of ≥1 μg/μL are recommended to support two-dimensional gel separation, protein visualization, and downstream mass spectrometry identification. Specific requirements may be adjusted depending on sample type and research objectives.
Sample Quality Requirements	Original biological samples or extracted protein solutions can be submitted. Protein solutions should avoid high salt concentrations, high levels of detergents, and other components that may interfere with isoelectric focusing and gel separation.
Sample Collection, Storage, and Shipping	Biological samples should be rapidly frozen after collection and shipped on dry ice. Protein solutions should be stored and transported under appropriate conditions according to sample stability requirements, with repeated freeze-thaw cycles avoided.

Deliverables

Deliverable	Description
Two-Dimensional Gel Images	Provides Coomassie Brilliant Blue-stained or silver-stained two-dimensional gel images to visualize protein separation patterns and protein spot distribution.
Raw Mass Spectrometry Data Files	Provides raw LC-MS/MS data files generated during mass spectrometry acquisition.
Protein Identification Results (Excel Format)	Provides database-searching results, including identified protein information and related matching results.
Basic PDF Analysis Report	Provides a summary report containing experimental workflow, result overview, and basic data interpretation.

FAQs

Q1: Is two-dimensional gel-based protein analysis suitable for low-abundance protein studies?

Two-dimensional gel analysis may have limited sensitivity for extremely low-abundance proteins due to sample complexity. For deeper protein coverage, LC-MS/MS-based proteomics is recommended.

 

Q2: How long does a typical project take?

A typical project takes approximately 3–4 weeks, including sample preparation, 2D gel separation, protein spot analysis, and LC-MS/MS identification. The timeline may vary depending on sample type and project design.

 

Contact Us

If your research requires protein expression analysis through two-dimensional gel separation or identification of target proteins from gel-separated spots, MtoZ Biolabs can help design an appropriate analytical strategy based on your sample characteristics, protein properties, and research objectives.

 

Contact our scientific team to discuss your project requirements and obtain a customized protein analysis workflow recommendation.

 

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