Mitochondrial mRNA is a stable and convenient reference for the normalization of RNA-seq data
Abstract
The normalization of high-throughput RNA sequencing (RNA-seq) data is needed to accurately analyze gene expression levels. Traditional normalization methods can either correct the differences in sequencing depth, or correct both the sequencing depth and other unwanted variations introduced during sequencing library preparation through exogenous spike-ins1-4. However, the exogenous spike-ins are prone to variation5,6. Therefore, a better normalization approach with a more appropriate reference is an ongoing demand. In this study, we demonstrated that mitochondrial mRNA (mRNA encoded by mitochondria genome) can serve as a steady endogenous reference for RNA-seq data analysis, and performs better than exogenous spike-ins. We also found that using mitochondrial mRNA as a reference can reduce batch effects for RNA-seq data. These results provide a simple and practical normalization strategy for RNA-seq data, which will serve as a valuable tool widely applicable to transcriptomic studies.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 1
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Normalization of RNA-Seq Data using Adaptive Trimmed Mean with Multi-reference
Vikas Singh, Nikhil Kirtipal, … Sunjae Lee·Briefings in BioinformaticsPeer-reviewed·Mar 27, 2024
- Side-By-Side Analysis Of Alternative Approaches On Multi-Level RNA-Seq Data
Irina I Mohorianu·bioRxiv·Oct 6, 2018
- A graph-based algorithm for RNA-seq data normalization
Diem-Trang T. Tran, Aditya Bhaskara, … Balagurunathan Kuberan·PLoS ONEPeer-reviewed·Jan 24, 2020
- A Comparison of Methods: Normalizing High-Throughput RNA Sequencing Data
Rahul Reddy·bioRxiv·Sep 3, 2015
- An assessment of normalization and differential expression methods for miRNA-seq analysis using a realistic benchmark dataset
Ernesto Aparicio‐Puerta, Andrea M Baran, … Matthew N. McCall·bioRxiv·May 13, 2026
- RNA-Seq is not required to determine stable reference genes for qPCR normalization
Nirmal Kumar Sampathkumar, Venkat Krishnan Sundaram, … Jacqueline C. Mitchell·PLoS Computational BiologyPeer-reviewed·Feb 28, 2022