How Can Mass Spectrometry Be Used to Analyze or Predict Protein–Protein Interactions
Mass spectrometry (MS) has emerged as a powerful tool for analyzing proteins and their interactions. When combined with protein purification techniques—such as co-immunoprecipitation or affinity purification—MS enables the accurate identification of protein complex components. The following outlines the fundamental steps involved in using mass spectrometry to analyze and predict protein–protein interactions:
1. Sample Preparation
Proteins are first extracted from cells or tissues. To identify interaction partners of a specific protein, epitope tags (e.g., His-tag, FLAG-tag) can be genetically fused to the target protein. Affinity purification strategies specific to these tags are then employed to isolate the tagged protein along with its interacting partners.
2. Protein Purification
The target protein and its potential interactors are purified from cellular lysates using immunoprecipitation (IP) or affinity purification techniques.
3. Mass Spectrometry Sample Preparation
The purified protein samples are typically subjected to enzymatic digestion to generate peptides suitable for MS analysis. This often involves the use of proteolytic enzymes, such as trypsin, to cleave the proteins into peptide fragments.
4. Mass Spectrometry Analysis
Peptide samples are introduced into the mass spectrometer for analysis, producing spectra that reflect the mass-to-charge (m/z) ratios of the peptides.
5. Data Analysis
Mass spectrometry data are analyzed using specialized software tools (e.g., Mascot, SEQUEST), which compare the acquired spectra against protein databases to determine the identities of the proteins present in the sample.
6. Validation
Following the identification of candidate protein–protein interactions, additional experimental approaches—such as yeast two-hybrid assays, GST pull-down assays, or fluorescence resonance energy transfer (FRET)—are typically employed to confirm and further characterize these interactions.
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