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    Procedure of Quantitative Acetylomics Based on LC-MS/MS

      Protein acetylation is a common post-translational modification (PTM) that plays a crucial role in cellular function regulation. The dynamic regulation of acetylation is involved in various biological processes, including gene expression, cell cycle control, metabolic pathways, and signal transduction. Therefore, mapping the global acetylation landscape is essential for understanding intracellular regulatory mechanisms and the molecular basis of diseases. With advancements in mass spectrometry, particularly liquid chromatography-tandem mass spectrometry (LC-MS/MS), quantitative acetylomics has made significant progress.

       

      Methods Overview

      The quantitative acetylomics workflow using LC-MS/MS typically involves four key steps: sample preparation, peptide enrichment, mass spectrometry analysis, and data processing. Each step is critical to the accuracy and reliability of the results.

       

      1. Sample Preparation

      Sample preparation is the first step in quantitative acetylomics studies. Total proteins are typically extracted from cells, tissues, or body fluids, followed by enzymatic digestion, usually with trypsin, to break down proteins into smaller peptides. These peptides undergo reduction and alkylation to prevent disulfide bond formation, thus enhancing the sensitivity and accuracy of mass spectrometry analysis.

       

      2. Enrichment of Acetylated Peptides

      Due to the typically low abundance of acetylated peptides in the total peptide pool, specific enrichment is required to enhance detection sensitivity. The most common method is antibody enrichment, using anti-acetyl-lysine antibodies to capture acetylated peptides. Another approach is solid-phase extraction, which enriches acetylated peptides by adjusting the solution's pH. The choice and optimization of these methods directly affect the depth and breadth of acetylomics studies.

       

      3. LC-MS/MS Analysis

      Enriched acetylated peptides are separated by nano-liquid chromatography (nano-LC) and injected online into tandem mass spectrometry for detection. LC-MS/MS is the most widely used tool for quantitative analysis, offering high resolution and sensitivity that allows for the simultaneous detection and quantification of thousands of acetylation sites. Common mass spectrometry modes include data-dependent acquisition (DDA) and data-independent acquisition (DIA). DDA provides rich spectral information through selective fragmentation, while DIA improves data coverage by analyzing all fragments simultaneously.

       

      4. Data Processing

      Data processing is a critical step in acetylomics studies. Mass spectrometry data are typically processed using specialized bioinformatics software, such as MaxQuant or Proteome Discoverer. These tools identify peptides, quantify them, and assign them to corresponding proteins. Quantification of acetylation sites typically relies on labeling (e.g., TMT, iTRAQ) or label-free quantification methods, determining changes in acetylation levels by comparing peptide intensities between samples. Data analysis also includes functional annotation and pathway analysis of acetylation sites to gain deeper insights into the biological significance of acetylation.

       

      Applications and Challenges

      Quantitative acetylomics using LC-MS/MS has been widely applied in various research fields, such as cancer, metabolic diseases, and neurodegenerative diseases. In cancer research, comparing the acetylomes of tumor and normal tissues can reveal key regulatory pathways and proteins associated with tumorigenesis and progression. In metabolic disease research, acetylomics helps uncover molecular mechanisms of metabolic regulation.

       

      However, acetylomics studies face several challenges, such as sensitivity issues in detecting low-abundance modification sites, complexity in data analysis, and reproducibility and comparability of results. With technological advancements and continuous optimization of methodologies, future research is expected to overcome these challenges, providing new insights and targets for precision medicine and personalized therapy.

       

      Quantitative acetylomics using LC-MS/MS is a powerful approach to elucidate the dynamic changes and biological functions of protein acetylation. By continuously optimizing sample preparation, enrichment methods, and data analysis workflows, acetylomics research will continue to advance, providing critical information for understanding complex biological processes and disease mechanisms.

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