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4D-Acetylation Proteomics Services

Protein acetylation modifications are regulated by acetyltransferases and deacetylases and vary with metabolic environments. Their modifications often occur on metabolic enzymes, which regulate metabolic pathways and metabolic enzyme activities and participate in downstream metabolite changes. Protein acetylation is the most common type of acylation modification and refers to covalent binding acetyl groups (e.g., acetyl coenzyme A and other donors) to lysine residues of substrate proteins catalyzed by acetyltransferases. The above process mainly occurs at the theε-NH2 position of the protein lysine residue, and its molecular weight will increase by 42.01Da. Furthermore, mass spectrometry can accurately determine whether the molecular weight has a corresponding mass shift and analyze the acylated modified peptides and sites.

An illustration to show the acetylation protein.An illustration to show the acetylation protein. (Wangren Qiu et al. 2019)

Our 4D-phosphoproteomics Services

Creative Proteomics provides 4D-label free acetylation proteomics, using the ion flow separation, which can effectively distinguish modified tautomeric peptides according to the shape and cross-sectional area properties of the molecule. This service improves the accuracy and depth of identification of protein acetylation modifications and is more suitable for the analysis of micro samples.

Workflow

Workflow

TypeModification siteEnrichment methodSuggestion
4D-label free acetylationLysAcetyl-Lysine motif antibody1) Micro sample analysis
4D-label free SuccinylationLysSuccinyl-Lysine motif antibody2) Cost-effective analysis
4D-label free PropionylationLysPropionyl-Lysine motif antibody3) Experimental design with large differences in expression patterns between samples
4D-label free MalonylationLysMalonyl-Lysine motif antibody
4D-label free GlutarylationLysGlutaryl-Lysine motif antibody

Applications

Data Analysis

Standard Data Analysis Content
Mass Spectrometry Data AnalysisSpectral peptide quality deviation distribution, peptide length distribution, unique peptide number distribution, protein coverage distribution
Protein Expression AnalysisProtein abundance value distribution of PTMs, protein abundance ratio distribution of PTMs between samples, PCA analysis, statistical analysis of significant differences
Protein Functional AnalysisTotal protein and differential protein GO secondary classification, COG function classification, KEGG annotation, subcellular organelle location, domain annotation, signal peptide prediction and PPI prediction; differential protein GO, KEGG, domain enrichment analysis
Advanced Data Analysis Content
Protein Gene Chromosome LocalizationObtain the distribution of genes encoding proteins on chromosomes
WGCNA AnalysisPredict functional clustering and network interactions by protein expression level; correlate with phenotype data to obtain key proteins or protein complexes that influence phenotype
Trend Cluster AnalysisObtain protein expression trend patterns
Molecular TypingMolecular typing for large cohort samples
Survival Curve AnalysisStudy the relationship between influencing factors and survival time and outcome
ROC CurvesEvaluate predictive accuracy by combining specificity and sensitivity, such as biomarker impact assessment on tumor grade

Advantages

Cutting-edge technology platform: new generation 4D platform with elevated identification depth and more accurate site location

Experimental data guarantee: gold standard antibodies, high-standard enrichment operations to ensure the stability of the experimental process

One-stop analysis: from PTMs omics to verification, upstream and downstream joint analysis

Huge research potential

Sample Requirements

Sample TypeProtein# of CellsAnimal TissuePlant TissueBloodUrineSerumMicrobes
Quantify100 ug1×107 cells1 g200 mg1 mL2 mL0.2-0.5 mLDry weighed: 200 mg

Recommended Combination

Phenotype and mechanism study: acetylation + metabolomics.

References:

  1. Extreme Acetylation of the Cardiac Mitochondrial Proteome Does Not Promote Heart Failure. 2020.Circulation Research.
  2. Regulation of UCP1 and Mitochondrial Metabolism in Brown Adipose Tissue by Reversible Succinylation. 2019. Molecular Cell.
* 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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