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Updated: Dec 9, 2025

Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
Published on: November 13, 2021
A Quantitative Proteome Map of the Human Body
Lihua Jiang1, Meng Wang1, Shin Lin2
1Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
This study quantifies protein levels across 32 human tissues, revealing tissue-specific proteins and their impact on human biology and disease. Comparing protein and RNA data offers new insights into gene regulation and disease phenotypes.
Area of Science:
- Proteomics
- Human Tissue Biology
- Gene Expression Analysis
Background:
- Understanding human biology and disease requires knowledge of protein levels within tissues.
- Regulatory processes controlling protein levels are crucial but not fully understood.
- Comparing protein and RNA levels provides insights into gene regulation.
Purpose of the Study:
- To quantify relative protein levels for over 12,000 genes across 32 normal human tissues.
- To identify tissue-specific or tissue-enriched proteins and compare them with transcriptome data.
- To investigate the role of protein tissue-enrichment in understanding human biology and disease phenotypes.
Main Methods:
- Quantitative proteomics was performed on 32 normal human tissue samples.
- Protein levels were quantified for over 12,000 genes.
- Protein data was compared with existing transcriptome data.
Main Results:
- Tissue-specific and tissue-enriched proteins were identified across the 32 tissues.
- Many ubiquitous transcripts were found to encode tissue-specific proteins.
- Discordance between RNA and protein enrichment suggested sites of synthesis and action for secreted proteins.
- Protein tissue-enrichment data explained genetic disease phenotypes not evident from transcript data alone.
Conclusions:
- Protein distribution in human tissues provides a detailed view of complex biological events.
- Understanding protein levels offers critical insights into gene regulation, secretomes, metabolism, and human diseases.
- Protein enrichment data is essential for a comprehensive understanding of genetic disease phenotypes.
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