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ORIGINAL RESEARCH article

Front. Microbiol.

Sec. Microbial Physiology and Metabolism

Volume 16 - 2025 | doi: 10.3389/fmicb.2025.1586662

Evaluation of Protein Extraction Methodologies on Bacterial Proteomic Profiling: A Comparative Analysis

Provisionally accepted
  • 1Qingdao Agricultural University, Qingdao, China
  • 2Shijiazhuang University, Shijiazhuang, Hebei Province, China
  • 3Chinese Academy of Agricultural Sciences (CAAS), Beijing, Beijing Municipality, China
  • 4Shandong Sanyuan Dairy Co., Ltd, Weifang261201, Shandong, China

The final, formatted version of the article will be published soon.

Bacterial proteomics is a pivotal tool for elucidating microbial physiology and pathogenicity. The efficiency and reliability of proteomic analyses are highly dependent on the protein extraction methodology, which directly influences the detectable proteome. In this study, we systematically compared four protein extraction protocols-SDT lysis buffer with boiling (SDT-B), SDT lysis buffer with ultrasonication (SDT-U/S), a combination of boiling and ultrasonication (SDT-B-U/S), and SDT lysis buffer with liquid nitrogen grinding followed by ultrasonication (SDT-LNG-U/S)-to evaluate their effects on peptide and protein identification, distribution, and reproducibility in Escherichia coli and Staphylococcus aureus. Both datadependent acquisition (DDA) and data-independent acquisition (DIA) strategies were employed for comprehensive proteomic profiling. DDA analysis identified 23,912 unique peptides corresponding to 2,141 proteins in E. coli and 13,150 unique peptides corresponding to 1,511 proteins in S. aureus. DIA analysis yielded slightly fewer peptides (21,027 for E. coli and 7,707 for S. aureus) but demonstrated superior reproducibility. Among the tested protocols, SDT-B-U/S outperformed the others, identifying 16,560 peptides for E. coli and 10,575 peptides for S. aureus in DDA mode.It also exhibited the highest technical replicate correlation in DIA analysis (R² = 0.92). This method enhanced the extraction of proteins within key molecular weight ranges (20-30 kDa for E. coli; 10-40 kDa for S. aureus) and was particularly effective for recovering membrane proteins (e.g., OmpC). Additionally, ultrasonication-based protocols outperformed the liquid nitrogen grinding approach in extracting the S. aureus proteome. These findings underscore the significant impact of protein extraction methods on bacterial proteomics. The SDT-B-U/S protocol-thermal denaturation followed by ultrasonication-proved most effective, enhancing protein recovery and reproducibility across both Gram-negative and Gram-positive bacteria. This work offers key guidance for optimizing microbial proteomic workflows.

Keywords: Microbial proteomics, Protein Extraction Optimization, Data-dependent acquisition, Data-independent acquisition, proteomic methodology

Received: 03 Mar 2025; Accepted: 11 Jun 2025.

Copyright: © 2025 Jiang, Han, Zhang, Li, Jiang, Du, Fan, Yang and Han. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Rongwei Han, Qingdao Agricultural University, Qingdao, China

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