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Updated: Jul 29, 2025

Transcriptome Analysis of Single Cells

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

eQTL studies: from bulk tissues to single cells.

Jingfei Zhang¹, Hongyu Zhao²

¹Information Systems and Operations Management, Emory University, Atlanta, GA 30322, USA.

Journal of Genetics and Genomics = Yi Chuan Xue Bao

|May 19, 2023

Summary

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This review explores methods for finding cell-type-specific expression quantitative trait loci (eQTLs) in bulk tissues. Understanding these eQTLs is crucial for deciphering gene regulation in complex traits and diseases.

Area of Science:

Genomics
Systems Biology
Statistical Genetics

Background:

Expression quantitative trait loci (eQTLs) link genetic variants to gene expression levels, aiding understanding of complex traits and diseases.
While bulk tissue eQTL studies are common, cell-type-specific and context-dependent gene regulation is increasingly recognized as vital for biological processes and disease mechanisms.

Purpose of the Study:

To review statistical methods for detecting cell-type-specific and context-dependent eQTLs.
To discuss the application of these methods across various data types, including bulk tissues, purified cell types, and single cells.
To identify limitations of current approaches and suggest future research directions.

Main Methods:

The review synthesizes statistical methodologies developed for eQTL detection.

Keywords:

Bulk samples Cell-type-specific Context-dependent Single cell Tissues eQTL

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Transcriptome Analysis of Single Cells

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Isolate Cell-Type-Specific RNAs from Snap-Frozen Heterogeneous Tissue Samples without Cell Sorting

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Focus is placed on methods enabling the inference of cell-type-specific and context-dependent eQTLs from diverse tissue and cellular data sources.

Main Results:

Various statistical approaches exist for identifying eQTLs across different biological contexts.
These methods allow for the dissection of gene regulation at a finer resolution than previously possible with bulk tissue analysis.

Conclusions:

Detecting cell-type-specific eQTLs from bulk tissues is an active area of research with significant implications.
Further methodological development is needed to overcome current limitations and fully leverage single-cell and purified cell data for eQTL discovery.