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Updated: May 31, 2026

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
Published on: April 18, 2025
π-SeqOmics: A Sequential Workflow for Genomic, Transcriptomic, Proteomic, and Phosphoproteomic Profiling From
Shuyi Feng1, Xuehui Deng2, Ying Xu3
1State Key Laboratory of Medical Proteomics, National Center for Protein Sciences (Beijing), Research Unit of Proteomics-driven Cancer Precision Medicine (Chinese Academy of Medical Sciences), Beijing, China; International Academy of Phronesis Medicine, Guangzhou, Guangdong, China; Department of Chemistry, School of Science, Southern University of Science and Technology, Shenzhen, China.
Abstract:
Comprehensive multiomics profiling from a single limited specimen remains challenging, as current extraction methods are difficult to standardize and often compromise balanced recovery of nucleic acids and proteins. Here, we developed π-SeqOmics, a phenol-free workflow established through systematic benchmarking for the sequential isolation of DNA, RNA, and proteins from a single specimen, enabling integrated genomic, transcriptomic, proteomic, and phosphoproteomic analyses. Compared with conventional extraction and in-solution digestion workflows, π-SeqOmics achieves comparable proteomic and phosphoproteomic depth and reproducibility while preserving high-quality DNA and RNA for sequencing. The workflow performed robustly across a wide input range (5 × 106 - 1 × 105 cells) and multiple mouse tissues, consistently identifying over 8000 proteins with strong quantitative reproducibility (r > 0.95). Together, these results establish π-SeqOmics as a standardized, practical, and cost-effective multiomics sample preparation workflow for limited-input and biopsy-scale specimens, providing a robust foundation for systems biology and translational research.
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