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Updated: May 31, 2026
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Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis
Published on: November 11, 2014
Large-scale analysis of temporal gene expression variation in peripheral blood
Neha Mishra1, Franziska Kimmig1, Doris Vandeputte2,3,4,5
1Institute of Clinical Molecular Biology, Christian-Albrechts-University Kiel and University Hospital Center Schleswig-Holstein, Kiel, Germany.
Nature Communications
|May 29, 2026
Summary
Peripheral blood transcriptomic profiling reveals significant daily gene expression changes within individuals, contrasting with stable immune cell activity. This variability impacts biomarker reliability and requires careful consideration in research.
Area of Science:
- Genomics
- Molecular Biology
- Biomarker Discovery
Background:
- Peripheral blood transcriptomic profiling is a promising non-invasive diagnostic tool.
- Clinical application is limited by understanding natural temporal gene expression variation.
Purpose of the Study:
- To create a reference map of longitudinal transcriptomic variability in healthy individuals.
- To identify factors influencing gene expression fluctuations over time.
Main Methods:
- RNA-sequencing of 333 healthy individuals at three time points over six months.
- Analysis of longitudinal transcriptomic data, including integration with clinical and environmental factors.
- Validation in independent twin and cross-sectional cohorts.
Main Results:
- 85% of genes and 99% of transcripts show greater intra-individual than inter-individual variation.
- Housekeeping pathways exhibit dynamic regulation, while immune-related transcripts remain stable.
- Gene expression drives inter-individual differences; splicing variation drives intra-individual fluctuations.
- Identified genetic, compositional, and external factors, including seasonal and sex-specific signatures.
Conclusions:
- Temporal variation patterns significantly impact transcriptomic analyses, potentially affecting reproducibility and increasing spurious associations.
- This reference map is crucial for distinguishing disease-specific changes from normal physiological variation.
- Enhances the reliability of blood-based biomarkers for clinical applications.
