Effects of bacterial inactivation methods on downstream proteomic analysis
Andy Lin1, Eric D Merkley1, Brian H Clowers2
1Signatures Sciences & Technology Division, National Security Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, United States.
Journal of Microbiological Methods
|January 27, 2015
Summary
Microbial inactivation for safety can alter proteomic data. Ethanol treatment minimally impacts protein identification and spectral quality, making it the preferred method for sample preparation in proteomics research.
Area of Science:
- Microbiology
- Proteomics
- Analytical Chemistry
Background:
- Microbial inactivation is crucial for researcher safety and regulatory compliance.
- Inactivation methods can alter biological samples, potentially affecting experimental outcomes.
- The impact of inactivation on proteomic data quality and protein content remains underexplored.
Purpose of the Study:
- To evaluate the effects of different inactivation methods (autoclave, ethanol, irradiation) on proteomic data quality and apparent protein content.
- To compare the impact of these inactivation strategies on Yersinia pestis and Escherichia coli proteomes.
- To provide recommendations for microbial inactivation methods in proteomic studies.
Main Methods:
- Inactivation of Yersinia pestis and Escherichia coli using autoclave, ethanol, and irradiation.
- Analysis of proteomic data using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
- Assessment of proteomic dataset similarity using Pearson correlation coefficients and spectral quality metrics.
- Statistical analysis (one-sided Fischer exact tests) to identify changes in protein abundance.
Main Results:
- Proteomic datasets from inactivated samples showed high similarity to controls, with minimal impact on identified proteins.
- Spectral quality metrics remained consistent across different inactivation methods, indicating no significant degradation.
- Autoclaving and irradiation led to a detectable decrease in the abundance of periplasmic proteins compared to controls.
- Ethanol treatment demonstrated the least impact on overall proteomic profiles and spectral quality.
Conclusions:
- Microbial inactivation methods have a generally minor impact on overall proteomic data.
- Ethanol treatment is recommended as the preferred inactivation method for proteomic studies due to minimal data alteration.
- Irradiation is a viable secondary option, while autoclaving may affect periplasmic protein abundance.
Keywords:
EnterobacteriaceaeLiquid chromatography tandem mass spectrometryMicrobial inactivationProteomics

