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Related Concept Videos

Cell Specific Gene Expression01:58

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...
Cell Specific Gene Expression01:58

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: May 10, 2026

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations
10:17

An Allele-specific Gene Expression Assay to Test the Functional Basis of Genetic Associations

Published on: November 3, 2010

Protocol for identifying cell-type-specific genes associated with disease risk using single-cell eQTL data.

Xin Fang1, Lijun Bian1, Caiwang Yan2

  • 1Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China; State Key Laboratory Cultivation Base of Biomarkers for Cancer Precision Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine and China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing 211166, China.

STAR Protocols
|May 8, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a new protocol to map cell-type-specific expression quantitative trait loci (cis-eQTLs) and integrate them with genome-wide association study (GWAS) data, aiding in disease gene discovery.

Keywords:
BioinformaticsGeneticsGenomicsSingle Cell

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Expression quantitative trait loci (eQTLs) link genetic variation to gene expression.
  • Understanding cell-type-specific eQTLs is crucial for interpreting disease-associated genetic variants.
  • Current methods often lack the resolution to dissect eQTLs within specific cell types in complex tissues.

Purpose of the Study:

  • To present a novel protocol for mapping cell-type-specific cis-eQTLs.
  • To enable the integration of these cell-type-specific cis-eQTLs with genome-wide association study (GWAS) data.
  • To facilitate the identification of candidate risk genes and underlying mechanisms of disease susceptibility.

Main Methods:

  • Pooled-sample multiplexed sequencing for efficient data generation.
  • Genotype-based cell demultiplexing to assign genotypes to cell types.
  • Detection of cis-eQTLs within specific cell types and integration with GWAS summary statistics.

Main Results:

  • The protocol successfully maps cell-type-specific cis-eQTLs.
  • Integration with GWAS data identifies potential candidate risk genes.
  • The method provides a framework for dissecting genetic contributions to disease at a cellular level.

Conclusions:

  • This protocol offers a powerful approach to identify cell-type-specific regulatory variants associated with disease.
  • It bridges the gap between genetic association studies and functional genomics in specific cell types.
  • The methodology advances our understanding of the genetic architecture of complex diseases.