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Related Concept Videos

Proteomics01:33

Proteomics

A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term proteomics...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: May 31, 2026

A Streamlined Approach for Mass Spectrometry-Based Proteomics Using Selected Tissue Regions
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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.

Molecular & Cellular Proteomics : MCP
|May 29, 2026
PubMed
Summary

A new phenol-free workflow, π-SeqOmics, enables sequential isolation of DNA, RNA, and proteins from single specimens. This method supports integrated multi-omics analyses, including genomics, transcriptomics, and proteomics, from limited samples.

Keywords:
genomeintegrated workflowphosphoproteomeproteometranscriptome

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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
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Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors

Published on: February 27, 2015

Area of Science:

  • Biochemistry
  • Molecular Biology
  • Genomics

Background:

  • Comprehensive multi-omics profiling from limited specimens is challenging due to difficult standardization and compromised recovery of nucleic acids and proteins.
  • Current methods often fail to provide balanced recovery of biomolecules for integrated analyses.

Purpose of the Study:

  • To develop a standardized, phenol-free workflow (π-SeqOmics) for sequential isolation of DNA, RNA, and proteins from single specimens.
  • To enable integrated genomic, transcriptomic, proteomic, and phosphoproteomic analyses from limited-input samples.

Main Methods:

  • Developed and benchmarked π-SeqOmics, a phenol-free workflow for sequential isolation of DNA, RNA, and proteins.
  • Validated the workflow across a range of input cell numbers (5 × 10^6–1 × 10^5) and mouse tissues.

Main Results:

  • π-SeqOmics achieved comparable proteomic and phosphoproteomic depth and reproducibility to conventional methods.
  • High-quality DNA and RNA were preserved for sequencing.
  • Consistently identified over 8,000 proteins with high quantitative reproducibility (r > 0.95).

Conclusions:

  • π-SeqOmics is a standardized, practical, and cost-effective multi-omics sample preparation workflow for limited-input and biopsy-scale specimens.
  • This workflow provides a robust foundation for systems biology and translational research.