Automated High-Throughput Proteomics Sample Preparation Platform Using DNA Extraction Plate for Industrial Microorganisms

Comprehensive proteomic analyses are indispensable for elucidating protein regulatory networks in microbial chassis cells and accelerating the advancement of cellular factory designs and systems biology models. However, conventional methodologies for generating industrial microbial proteomic data sets remain heavily reliant on labor-intensive, manual workflows that are not only time-inefficient and costly but also inherently prone to human error. In this study, we developed an automated high-throughput proteomics sample preparation workflow (AutoDEP) tailored for industrial microorganisms. By integration of a highly efficient sodium dodecyl sulfate (SDS)-based lysis buffer with a commercially available 96-well DNA extraction plate on the Biomek i7 liquid handling system, AutoDEP enables fully automated processing of 96 samples from cell lysis to clean peptide generation. We rigorously benchmarked the performance of AutoDEP, achieving an excellent sample preparation efficiency with a zero missed cleavage rate exceeding 81%. The intraplate coefficient of variation (CV) showed a median below 7%, while interplate variability demonstrated that over 91% of proteins had CVs less than 20%. Additionally, the interday Pearson correlation coefficient (<i>R</i><sup>2</sup>) exceeded 0.98, indicating high reproducibility. Notably, AutoDEP effectively handles protein loading amounts ranging from 5 to 200 μg, showcasing its robust applicability. Collectively, this work demonstrates the potential of AutoDEP to accelerate the construction of cell models based on industrial chassis cells. Furthermore, its robust performance suggests promising applications in large-scale studies, including clinical sample analysis.

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Publication Details

Journal
Analytical Chemistry
Published
2026-02-23
DOI
https://doi.org/10.1021/acs.analchem.5c06568
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
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article

Automated High-Throughput Proteomics Sample Preparation Platform Using DNA Extraction Plate for Industrial Microorganisms

Peibin Qin, Manman Han, Qichen Cao, Jie Shen et al.
Analytical Chemistry
Advanced Proteomics Techniques and Applications
article

Automated High-Throughput Proteomics Sample Preparation Platform Using DNA Extraction Plate for Industrial Microorganisms

Peibin Qin, Manman Han, Qichen Cao, Jie Shen, Qingyang Xu, Jibin Sun, Zuoqing Zhang, Yujie Wang, Ruixuan Qi
article en

Abstract

Comprehensive proteomic analyses are indispensable for elucidating protein regulatory networks in microbial chassis cells and accelerating the advancement of cellular factory designs and systems biology models. However, conventional methodologies for generating industrial microbial proteomic data sets remain heavily reliant on labor-intensive, manual workflows that are not only time-inefficient and costly but also inherently prone to human error. In this study, we developed an automated high-throughput proteomics sample preparation workflow (AutoDEP) tailored for industrial microorganisms. By integration of a highly efficient sodium dodecyl sulfate (SDS)-based lysis buffer with a commercially available 96-well DNA extraction plate on the Biomek i7 liquid handling system, AutoDEP enables fully automated processing of 96 samples from cell lysis to clean peptide generation. We rigorously benchmarked the performance of AutoDEP, achieving an excellent sample preparation efficiency with a zero missed cleavage rate exceeding 81%. The intraplate coefficient of variation (CV) showed a median below 7%, while interplate variability demonstrated that over 91% of proteins had CVs less than 20%. Additionally, the interday Pearson correlation coefficient (<i>R</i><sup>2</sup>) exceeded 0.98, indicating high reproducibility. Notably, AutoDEP effectively handles protein loading amounts ranging from 5 to 200 μg, showcasing its robust applicability. Collectively, this work demonstrates the potential of AutoDEP to accelerate the construction of cell models based on industrial chassis cells. Furthermore, its robust performance suggests promising applications in large-scale studies, including clinical sample analysis.

Analytical ChemistryVol. 98(9)
Tianjin University of Science and Technology (CN), Chinese Academy of Sciences (CN), National Institute of Clean and Low-Carbon Energy (CN), Tianjin Institute of Industrial Biotechnology (CN)
Openalex Percentile: Top 48%
Advanced Proteomics Techniques and Applications
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