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Related Concept Videos

Proteomics01:33

Proteomics

9.3K
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...
9.3K

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Related Experiment Video

Updated: Jan 17, 2026

Author Spotlight: Standardizing Tissue Sampling in Proteomics and Immunochemistry Research
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Author Spotlight: Standardizing Tissue Sampling in Proteomics and Immunochemistry Research

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A standardized framework for circulating blood proteomics.

Xue Cai1,2,3, Philipp E Geyer4, Yasset Perez-Riverol5

  • 1Affiliated Hangzhou First People's Hospital, State Key Laboratory of Medical Proteomics, School of Medicine, Westlake University, Hangzhou, China.

Nature Genetics
|September 23, 2025
PubMed
Summary
This summary is machine-generated.

Standardized blood proteomic analysis is crucial for biomarker discovery. Implementing technology-agnostic reference samples will enable robust data integration across studies, accelerating clinical translation.

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Area of Science:

  • Biochemistry
  • Proteomics
  • Biomarker Discovery

Background:

  • The circulating blood proteome is a rich source for identifying disease biomarkers and understanding biological mechanisms.
  • Advances in mass spectrometry and affinity-based technologies have been significant.
  • However, integrating data across studies and platforms is challenging due to a lack of unified analytical standards.

Purpose of the Study:

  • To outline key challenges in blood-based proteomics.
  • To propose actionable strategies for overcoming these challenges.
  • To highlight the importance of technology-agnostic reference samples for data integration and clinical translation.

Main Methods:

  • This perspective outlines challenges and proposes strategies based on current understanding of proteomics data integration.
  • The core recommendation involves the development and use of high-quality, technology-agnostic reference samples.
  • Emphasis is placed on fostering interconnected research across different proteomic technologies, sample collections, and clinical phenotypes.

Main Results:

  • Absence of unified analytical standards hinders comprehensive exploration of human biology and translation of findings.
  • Disparities in datasets arise from variations in sample collection, pre-analytical handling, and measurement methods.
  • Technology-agnostic reference samples can bridge disparate datasets and enable robust cross-study comparisons.

Conclusions:

  • Standardized analytical approaches and reference materials are essential for advancing blood-based proteomics.
  • Implementing reference samples will facilitate robust cross-study comparisons and data integration.
  • This will accelerate the field of proteomics and its application in clinical settings.