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Related Experiment Video

Updated: Mar 23, 2026

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Isolation and Profiling of Human Primary Mesenteric Arterial Endothelial Cells at the Transcriptome Level

Published on: March 14, 2022

Transcriptomics resources of human tissues and organs.

Mathias Uhlén¹, Björn M Hallström², Cecilia Lindskog³

¹Science for Life Laboratory, KTH - Royal Institute of Technology, Stockholm, Sweden Department of Proteomics, KTH - Royal Institute of Technology, Stockholm, Sweden Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Hørsholm, Denmark mathias.uhlen@scilifelab.se.

Molecular Systems Biology

|April 6, 2016

Summary

This study reviews human transcriptome data, revealing that most proteins are expressed across all tissues, with few showing tissue-specific expression. This information aids in understanding human physiology and disease.

Keywords:

genome‐scale metabolic models proteomics transcriptomics

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Last Updated: Mar 23, 2026

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Published on: March 14, 2022

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Obtaining High Quality RNA from Single Cell Populations in Human Postmortem Brain Tissue

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Area of Science:

Genomics
Molecular Biology
Human Physiology

Background:

Understanding gene expression across human tissues is crucial for physiology and disease research.
Large-scale transcriptomics studies have mapped protein-coding gene expression across various tissues.
These datasets define the molecular makeup of the human body and identify tissue-specific proteins.

Purpose of the Study:

To review human transcriptome resources and analyze body-wide gene expression data.
To discuss findings from independent genome-wide transcriptome analyses of different human tissues.
To explore the application of omics data in building metabolic models for cellular and tissue function analysis.

Main Methods:

Review of publicly available human transcriptome databases.
Analysis of independent genome-wide transcriptome datasets from diverse tissues (surgical and postmortem).
Consistency checks of gene expression measurements across different datasets.

Main Results:

Gene expression data from independent analyses are consistent.
A significant proportion of proteins are ubiquitously expressed across all human tissues.
A relatively small number of proteins exhibit tissue-restricted expression patterns.

Conclusions:

Human tissues share a common set of expressed proteins, with limited tissue-specific expression.
Publicly available omics data are valuable for constructing genome-scale metabolic models.
These models facilitate the analysis of cellular and tissue functions in both health and disease states.