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Updated: May 20, 2026

Single-cell Gene Expression Using Multiplex RT-qPCR to Characterize Heterogeneity of Rare Lymphoid Populations
Published on: January 19, 2017
A novel multiplex polymerase chain reaction assay for profile analyses of gene expression in peripheral blood
Xingwang Jia1, Haiyue Ju, Li Yang
1Department of Clinical Biochemistry, State Key Laboratory of Kidney Disease, Chinese PLA General Hospital, 100853 Beijing, China.
Insights
A new multiplex PCR method accurately measures gene expression in blood for coronary artery disease (CAD) risk assessment. Specific gene expression profiles correlate with CAD, offering potential diagnostic insights.
Area of Science:
- Molecular Biology
- Cardiovascular Disease Research
- Biomarker Discovery
Background:
- Inflammation plays a critical role in atherosclerosis pathogenesis, driven by aberrant cytokine gene expression.
- Accurate methods for observing whole blood gene expression are needed for diagnosing coronary artery disease (CAD) and related conditions.
Purpose of the Study:
- To develop and validate a precise multiplex polymerase chain reaction (multi-PCR) method for simultaneous measurement of multiple CAD-related genes.
- To explore the relationship between gene expression profiles, clinical parameters (glucose, lipids), and atherosclerosis status in a human cohort.
- To establish a gene expression analysis system for potential CAD risk assessment.
Main Methods:
- A novel multi-PCR assay was developed to measure 15 CAD-related genes and 2 housekeeping genes in peripheral blood.
- Assay precision was evaluated, and a diagnostic procedure was developed using data from 148 subjects categorized by atherosclerosis presence and type (calcified vs. non-calcified plaques).
- Gene expression, glucose, lipid levels, and clinical data were analyzed to identify correlations.
Main Results:
- The multi-PCR system demonstrated good precision with acceptable within-run and between-run coefficients of variation.
- Positive correlations were observed between glucose levels and MCSF, HMOX1, or TNFalpha gene expression.
- Significantly elevated expression of IL1B, IL6, IL8, and MCP-1 was found in patients with non-calcified plaques compared to controls.
Conclusions:
- A novel multiplex gene expression analysis system for whole blood has been successfully developed and validated.
- Gene expression patterns in peripheral blood are demonstrably related to the presence and type of coronary artery disease.
- This system holds promise as a tool for the risk assessment of cardiovascular diseases (CVDs) and associated conditions.
Background:
Studies have demonstrated that inflammation has a key role in the pathogenesis of atherosclerosis due to the abnormal gene expressions of multiple cytokines. We established an accurate and precise method to observe gene expression in whole blood that might provide specific diagnostic information for coronary artery disease (CAD) and other related diseases.
Methods:
The fifteen selected CAD-related genes (IL1B, IL6, IL8, IFNG, MCP-1, VWF, MTHFR, SELL, TNFalpha, ubiquitin, MCSF, ICAM1, ID2, HMOX1 and LDLR) and two housekeeping genes (ACTB and GK) as internal references have been measured simultaneously with a newly developed multiplex polymerase chain reaction (multi-PCR) method. Moreover, the precision was evaluated, and a procedure for distinguishing patients from the normal population has been developed based upon analyses of peripheral blood. A total of 148 subjects were divided into group A (control group without plaques), group B (calcified plaques) and group C (non-calcified plaques, and combination group) according dual-source CT criteria. Gene expression in blood was analyzed by multi-PCR, and levels of glucose and lipids measured in 50 subjects to explore the relationship among them.
Results:
The precision results of the multi-PCR system revealed within-run and between-run CV values of 3.695-12.537% and 4.405-13.405%, respectively. The profiles of cytokine gene expression in peripheral blood were set: a positive correlation between glucose and MCSF, HMOX1 or TNFalpha were found. We also found that triglyceride levels were negatively correlated with SELL gene expression in 50 subjects. Compared with controls, gene expression levels of IL1B, IL6, IL8 and MCP-1 increased significantly in group C.
Conclusions:
A new multiple gene expression analysis system has been developed. The primary data suggested that gene expression was related to CAD. This system might be used for risk assessment of CVDs and other related diseases.
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