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GPF-DIA Quantitative Proteomics Services

Data independent acquisition (DIA) is a powerful technique that can significantly improve the throughput and reproducibility of proteomics assays, and has been widely used in various biological sample assays. The classical DIA process usually relies on a DDA library generation, which requires the classification of samples into multiple fractions to be assayed separately with long cycle time and high cost. In recent years, more and more analytical methods that do not rely on DDA library generation have been created, such as DIAUmpire, PECAN, encyclopeDIA, etc.

Gas-phase fractionation (GPF) improves detection rates with DIA by injecting the same sample multiple times with tiled precursor isolation windows, allowing each injection to have narrower windows (and thus fewer co-fragmented peptides) with the same instrument duty cycle. Compared with the classical DDA library generation, it can detect more target proteins (peptides) with faster project cycle time, better quantitative results, less samples and lower labor cost.

Our GPF-DIA Quantitative Proteomics Service

Our GPF-DIA quantitative proteomics service uses gas-phase ractionation technology with high resolution, accurate mass number stability, high sensitivity and high-speed scanning. All you need to do is send us your samples and we will take care of the following, including protein extraction, proteolysis, peptide separation, mass spectrometry analysis, raw mass spectrometry data analysis, and bioinformatics analysis.

Technical advantages:

Save sample size and cycle time
More accurate protein quantification

The technical core of GPF-DIA library generation:

The technical core of GPF-DIA library generation

Features of GPF-DIA Library Generation:

  1. Scanning range of precursor ion: 400-1000m/z.
  2. Greatly reduce the sample size required for library generation and the cost of mass spectrometry.
  3. Obtain high-quality data close to the PRM.

GPF-DIA Workflow:

GPF-DIA Workflow

Data Analysis

Standard data analysis content
Statistical analysis of identification resultsSample protein and peptide identification histogram, PCA distribution map, quantitative variance statistical analysis
Bioinformatics analysisDifferential up- and down-regulated protein KEGG map, KEGG pathway function attribution, etc.
GO and G0 enrichment, KEGG and KEGG enrichment analysis, PPI interaction network and module analysis
Advanced data analysis content
Biomarker screeningIntegrated machine learning, LASSO regression analysis, marker panels, ROC analysis
Molecular typing analysisUnsupervised cluster typing analysis, proteome + transcriptome analysis, kinase analysis
Joint analysis of clinical characterization and omics results
Disease-related functional module analysisWGCNA co-expression analysis
Survival curve analysisClinical typing and survival curve analysis

Sample Requirements:

Detection Platforms:

Detection Platforms


Clinical and Pharmacology Applications:

Agriculture and Forestry Applications:


* For Research Use Only. Not for use in the treatment or diagnosis of disease.

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Specializing in proteomics, Creative Proteomics offers cutting-edge protein analysis services. Our distinctive approach revolves around harnessing the power of DIA technology, enabling us to deliver precise and comprehensive insights that drive advancements in research and industry.

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