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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Related Experiment Video

Updated: Apr 29, 2026

Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution
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High-throughput sequencing in mitochondrial DNA research.

Fei Ye1, David C Samuels2, Travis Clark3

  • 1Department of Biostatistics, Vanderbilt University, Nashville, TN 37232, USA.

Mitochondrion
|May 27, 2014
PubMed
Summary
This summary is machine-generated.

High-throughput sequencing advances biomedical research by enabling comprehensive analysis of the mitochondrial genome. This review details its impact on studying SNPs, heteroplasmy, copy number, and structural variants in mitochondria.

Keywords:
Copy numberHeteroplasmyHigh throughput sequencingMutationNext generation sequencingSNP

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Area of Science:

  • Genomics
  • Mitochondrial Biology
  • Biomedical Research

Background:

  • Next-generation sequencing (NGS) significantly enhances biomedical research capabilities.
  • Mitochondrial research has greatly benefited from NGS, enabling simultaneous screening of the entire mitochondrial genome.

Purpose of the Study:

  • To review the impact of high-throughput sequencing on mitochondrial research.
  • To discuss strategies for processing mitochondrial DNA sequencing data.

Main Methods:

  • Review of existing literature on high-throughput sequencing in mitochondrial research.
  • Analysis of applications including Single Nucleotide Polymorphisms (SNPs), heteroplasmy, copy number, and structural variants.
  • Discussion of various mitochondrial DNA sequencing types and their advantages/disadvantages.

Main Results:

  • High-throughput sequencing allows simultaneous screening of all 16,569 base pairs of the mitochondrial genome.
  • It facilitates the detection of SNPs, low-level heteroplasmy, and estimation of mitochondrial DNA copy number.
  • The technology aids in identifying mitochondrial DNA structural variants.

Conclusions:

  • Realizing the full potential of high-throughput sequencing is crucial for advancing mitochondrial research.
  • Effective strategies for data processing, including assembly, variant calling, and quality control, are essential.
  • This review provides a framework for leveraging NGS in mitochondrial genomics.