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Updated: Jun 21, 2026
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Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
Published on: January 19, 2017
Resolving cell population heterogeneity: real-time PCR for simultaneous multiplexed gene detection in multiple
Alan Diercks1, Heather Kostner, Adrian Ozinsky
1Institute for Systems Biology, Seattle, WA, USA.
Plos One
|July 28, 2009
Summary
This study introduces a new method for measuring multiple gene expressions in single cells, revealing significant cell-to-cell variations in immune responses. This technique is crucial for understanding cellular heterogeneity and immune system coordination.
Area of Science:
- Molecular Biology
- Immunology
- Cell Biology
Background:
- Averaged measurements obscure cell-specific responses, limiting understanding of immune mechanisms.
- Assessing the performance of single-cell gene expression techniques has been challenging.
Purpose of the Study:
- To develop and validate a straightforward method for simultaneous multi-gene expression analysis in single cells.
- To investigate cell-cell heterogeneity in immune gene expression using the developed technique.
Main Methods:
- Utilized flow cytometry, parallel cDNA synthesis, and real-time PCR for multi-gene expression analysis.
- Assessed method performance using mRNA/DNA standards and cell samples.
Main Results:
- Achieved a detection sensitivity of approximately 30 mRNA molecules per cell with 15% fractional error.
- Exposed unexpected heterogeneity in the expression of five immune-related genes in single macrophages.
- Found that pro-inflammatory cytokine expression within a single cell is not predictive of other cytokines.
Conclusions:
- Single-cell analysis is essential for studying coordinated gene expression and cellular responses.
- The developed quantitative method is generic, easy-to-use, and applicable across various biological research areas.
