2D DIGE Analysis Service

Overview

Two-dimensional difference gel electrophoresis (2D DIGE) is a gel-based comparative proteomics approach designed to analyze protein expression differences between biological conditions.

In conventional 2D DIGE workflows, protein samples from different experimental groups are labeled with different fluorescent dyes, such as Cy2, Cy3, and Cy5, before being separated on the same two-dimensional gel. This strategy helps reduce gel-to-gel variation and enables comparative analysis of protein spot abundance across samples.

By separating proteins according to their isoelectric point and molecular weight, 2D DIGE provides visual protein expression patterns and supports identification of differential protein features in complex biological samples. When combined with mass spectrometry analysis, selected protein spots can be further characterized at the protein level.

Figure 1. Principle and Workflow of 2D DIGE

2D DIGE Analysis Service at MtoZ Biolabs

MtoZ Biolabs provides 2D DIGE-based comparative proteomics services integrating two-dimensional gel separation, LC-MS/MS protein identification, and bioinformatics analysis. The service supports comparative protein expression studies by combining gel-based protein separation with mass spectrometry-based characterization of selected protein spots.

Selected protein spots are analyzed using high-resolution Orbitrap LC-MS/MS platforms with DDA acquisition strategies. Protein identification workflows utilize established proteomics databases and analysis pipelines, including UniProt reference databases and customized sequence databases when required.

When This Service Is a Good Fit

2D DIGE analysis is suitable for studies where:

• protein expression differences between experimental groups need to be compared;
• differential protein spots require downstream identification;
• visualization of protein distribution patterns provides important biological information;
• gel-based separation is preferred before mass spectrometry analysis;
• candidate proteins need to be characterized from complex biological samples.

For studies requiring large-scale proteome coverage or comprehensive protein profiling without gel separation, LC-MS/MS-based discovery proteomics approaches such as DDA or DIA may provide complementary solutions.

Analysis Workflow

1. Protein Extraction and Sample Preparation

Protein samples are extracted from biological materials and prepared for two-dimensional gel separation.

 

2. Two-Dimensional Gel Separation

Proteins are separated according to their isoelectric point and molecular weight through two-dimensional electrophoresis.

 

3. Differential Protein Spot Selection

Protein spots showing differences between experimental conditions are selected for downstream analysis and prepared for mass spectrometry identification.

 

4. LC-MS/MS Protein Identification

Selected protein spots undergo in-gel digestion, followed by Orbitrap-based LC-MS/MS analysis using DDA acquisition for protein identification.

 

5. Bioinformatics Analysis

Identified proteins are analyzed using database searching, functional annotation, pathway analysis, and protein interaction analysis when applicable.

Sample Submission Requirements

1. Supported Sample Types

2D DIGE analysis can be performed using protein samples from various biological sources, including animal tissues, plant tissues, cultured cells, microorganisms, and biological fluids.

 

2. Protein Amount and Concentration

Recommended input requirements:

• Total protein amount:>500 μg
• Protein concentration:>1 μg/μL

Sufficient protein input supports effective gel separation, visualization, and downstream protein identification.

 

3. Storage and Shipping

Protein samples should be stored and shipped under conditions that maintain sample stability.

Samples should be compatible with electrophoresis and LC-MS/MS analysis, with minimized interference from salts or detergents.

Applications

1. Differential Protein Expression Profiling

2D DIGE enables comparison of protein expression patterns between experimental groups and supports identification of differentially expressed proteins.

 

2. Disease-Related Proteomics Studies

Comparative protein profiling can support investigation of protein expression changes associated with disease states or biological processes.

 

3. Biomarker Candidate Screening

Differential protein spots identified through comparative analysis can provide candidate proteins for subsequent validation studies.

 

Service Advantages

1. Integrated Gel-Based Proteomics Workflow

MtoZ Biolabs integrates two-dimensional gel separation with LC-MS/MS identification to support analysis from differential protein visualization to molecular characterization.

 

2. Visualized Protein Expression Comparison

Gel-based separation provides direct visualization of protein distribution patterns, enabling comparison of protein spot changes between experimental conditions.

 

3. High-Resolution LC-MS/MS Identification

Selected protein spots are analyzed using Orbitrap-based LC-MS/MS platforms. High-resolution MS analysis provides mass accuracy typically within <5 ppm under optimized analytical conditions, supporting reliable peptide identification and protein characterization.

 

4. Established Proteomics Data Analysis

Data analysis workflows utilize established proteomics tools, including MaxQuant and UniProt reference databases, to support protein identification, peptide analysis, and downstream interpretation.

Deliverables

1. 2D Gel Images

2. Differential Protein Spot Analysis

3. Protein Identification Results

4. Functional Analysis Results

5. Raw Mass Spectrometry Data

6. Final Report

FAQ

Q1: What Sample Preparation Factors Affect the Quality of 2D DIGE Analysis?

Salt, detergent, and other interfering components can affect protein solubility, electrophoretic separation, and downstream analysis quality. Proper sample preparation and compatibility with two-dimensional gel separation are important for obtaining reliable protein spot patterns and subsequent LC-MS/MS identification results.

 

Q2: How Does Experimental Design Affect the Reliability of 2D DIGE Comparative Analysis?

Experimental design factors, including biological replicates, comparison groups, and sample consistency, influence the interpretation of differential protein expression results. Appropriate experimental planning helps improve the reliability of protein spot comparison and downstream biological interpretation.

 

Q3: Can 2D DIGE Analysis Be Combined with LC-MS/MS Identification?

Yes. 2D DIGE provides visualization and comparison of differential protein spots, while LC-MS/MS analysis enables identification of proteins corresponding to selected spots. The combined workflow provides complementary information for comparative proteomics studies.

 

Q4: How Long Does a Typical 2D DIGE Analysis Project Take?

A typical 2D DIGE analysis project requires approximately 3–4 weeks, depending on sample preparation requirements, gel processing, selected protein spot analysis, LC-MS/MS scheduling, and downstream data analysis requirements.

 

Contact Us

2D DIGE analysis provides a gel-based comparative proteomics strategy for investigating protein expression differences and identifying candidate proteins through LC-MS/MS analysis. Contact MtoZ Biolabs with your sample information and research objectives to establish an appropriate 2D DIGE-based proteomics workflow.

 

MtoZ Biolabs, an integrated chromatography and mass spectrometry (MS) services provider.

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