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Cell Specific Gene Expression

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...

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Related Experiment Video

Updated: Dec 25, 2025

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Candidate gene expression in response to low-level air pollution.

Lina Madaniyazi¹, Shanshan Li², Shuai Li³

¹Department of Pediatric Infectious Diseases, Institute of Tropical Medicine, Nagasaki University, Nagasaki, Japan; School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.

Environment International

|April 7, 2020

Summary

This study investigated air pollutant effects on gene expression in twins, finding links between PM2.5 and SO2 with specific gene expression changes. Genetic background may modify these air pollutant-gene expression associations.

Keywords:

Air pollution Gene expression level Interaction Low exposure level Twins

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Area of Science:

Environmental Epigenetics
Toxicogenomics
Human Genetics

Background:

Epidemiological studies link air pollution to adverse health effects, even at low exposure levels.
Limited evidence exists on air pollutant associations with human gene expression levels.
Understanding these links is crucial for public health and environmental policy.

Purpose of the Study:

To investigate associations between common air pollutants and gene expression levels in a human population.
To explore if genetic factors, such as zygosity, influence these associations.
To provide insights into the molecular mechanisms underlying air pollution's health impacts.

Main Methods:

Utilized data from the Brisbane System Genetics Study (BSGS), a family-based twin study.
Collected whole blood gene expression data from 266 twin pairs and 165 parents.
Analyzed associations between air pollutants (PM2.5, O3, NO2, SO2) and gene expression using generalized linear models, adjusting for covariates.

Main Results:

Observed positive associations between PM2.5 and HSPA8/SOD1 expression, and SO2 and AHR expression.
Identified negative associations between SO2 and 11 other genes, with effects often seen within 0-7 days.
Found the SO2-DUSP1 association was stronger in monozygotic twins compared to dizygotic twins.

Conclusions:

Suggests potential associations between low-level air pollutant exposure and altered gene expression in humans.
Highlights the role of individual genetic background in modulating responses to air pollution.
Provides a potential bridge between epidemiological findings and toxicological research.