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Gene Expression Profiling of Infecting Microbes Using a Digital Bar-coding Platform
Published on: January 13, 2016
Evidence based selection of housekeeping genes
Hendrik J M de Jonge1, Rudolf S N Fehrmann, Eveline S J M de Bont
1Division of Pediatric Oncology/Hematology, Department of Pediatrics, Beatrix Children's Hospital, Groningen, The Netherlands.
Plos One
|September 20, 2007
Summary
Commonly used housekeeping genes for gene expression analysis show significant variability. This study identifies novel, highly stable housekeeping genes suitable for accurate normalization across diverse experimental conditions and species.
Area of Science:
- Molecular Biology
- Genomics
- Bioinformatics
Background:
- Accurate gene expression analysis relies on normalization using stable housekeeping genes.
- Frequently used housekeeping genes (e.g., ACTB, GAPDH) exhibit variability, limiting their reliability.
- Identifying universally stable reference genes is crucial for reproducible research.
Purpose of the Study:
- To identify novel, highly stable housekeeping genes for gene expression data normalization.
- To evaluate the stability of candidate housekeeping genes across diverse human and mouse samples.
- To provide reliable reference genes for accurate gene expression analysis.
Main Methods:
- Meta-analysis of 13,629 human gene array samples.
- Analysis of 2,543 diverse mouse gene array samples.
- Identification and validation of consistently expressed genes across various experimental conditions and cell types.
Main Results:
- Novel candidate housekeeping genes (e.g., RPS13, RPL27, RPS20, OAZ1) demonstrate enhanced stability.
- Commonly used housekeeping genes were not among the top 50 most stable genes.
- The stability of novel candidates was confirmed in mouse samples, indicating cross-species applicability.
Conclusions:
- The identified novel housekeeping genes offer superior stability compared to traditional choices.
- These novel genes are recommended for normalizing gene expression data for increased accuracy and reliability.
- This finding supports more robust and reproducible gene expression studies.
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