Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes02:16

Comparing Mitochondrial, Chloroplast, and Prokaryotic Genomes

12.6K
The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
12.6K
RNA-seq03:21

RNA-seq

10.2K
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. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
10.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mobile group I introns at nuclear rDNA position L2066 harbor sense and antisense homing endonuclease genes intervened by spliceosomal introns.

Mobile DNA·2022
Same author

Structural Organization of S516 Group I Introns in Myxomycetes.

Genes·2022
Same author

A Phylogenetic Approach to Structural Variation in Organization of Nuclear Group I Introns and Their Ribozymes.

Non-coding RNA·2021
Same author

Spotted wolffish (Anarhichas minor) sperm cryopreservation in 5-mL cryovials.

Fish physiology and biochemistry·2020
Same author

High-Throughput Identification of Adapters in Single-Read Sequencing Data.

Biomolecules·2020
Same author

Heterogenic Origin of Micro RNAs in Atlantic Salmon (<i>Salmo salar</i>) Seminal Plasma.

International journal of molecular sciences·2020

Related Experiment Video

Updated: Aug 7, 2025

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
12:35

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

Published on: November 14, 2017

9.5K

mtR_find: A Parallel Processing Tool to Identify and Annotate RNAs Derived from the Mitochondrial Genome.

Asan M S H Mohideen1, Steinar D Johansen1, Igor Babiak1

  • 1Genomics Group, Faculty of Biosciences and Aquaculture, Nord University, P.O. Box 1490, 8049 Bodø, Norway.

International Journal of Molecular Sciences
|March 11, 2023
PubMed
Summary

We developed mtR_find, a tool to identify mitochondrial RNAs, including small RNAs (mt-sRNAs) and long non-coding RNAs (mt-lncRNAs). This tool aids in discovering novel RNA biomarkers associated with diseases like cancer and obesity.

Keywords:
mitochondriamitochondrial long non-coding RNAsmitochondrial small RNAsmitochondrial tRFsmultiprocessingread count algorithmsmall RNA tool

More Related Videos

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.2K
Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution
10:47

Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution

Published on: May 5, 2023

3.5K

Related Experiment Videos

Last Updated: Aug 7, 2025

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA
12:35

Simultaneous Mapping and Quantitation of Ribonucleotides in Human Mitochondrial DNA

Published on: November 14, 2017

9.5K
Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy
07:26

Discrimintion and Mapping of the Primary and Processed Transcripts in Maize Mitochondrion Using a Circular RT-PCR-based Strategy

Published on: July 29, 2019

6.2K
Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution
10:47

Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution

Published on: May 5, 2023

3.5K

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Mitochondrial RNAs are prevalent in sequencing data, but their unique features pose challenges for analysis.
  • Existing tools struggle to accurately identify and annotate mitochondrial small RNAs (mt-sRNAs) and long non-coding RNAs (mt-lncRNAs).

Purpose of the Study:

  • To develop a novel computational tool, mtR_find, for the detection and annotation of mitochondrial RNAs.
  • To establish a standardized nomenclature for accurate annotation of mt-sRNAs.
  • To explore the potential of mt-ncRNAs as diagnostic or prognostic markers.

Main Methods:

  • Developed mtR_find, a tool utilizing a novel method for counting RNA sequences from adapter-trimmed reads.
  • Applied mtR_find to analyze existing transcriptomic datasets.
  • Benchmarked mtR_find using simulated datasets for validation.

Main Results:

  • Identified mt-sRNAs significantly associated with hepatocellular carcinoma and obesity.
  • Discovered novel mt-sRNAs and mt-lncRNAs in mouse early development.
  • Demonstrated the tool's ability to extract novel biological insights from existing data.

Conclusions:

  • mtR_find provides unprecedented resolution and simplicity for analyzing mt-ncRNA transcriptomes.
  • The tool facilitates re-analysis of transcriptomic databases, uncovering disease-associated RNAs.
  • mt-ncRNAs show promise as potential diagnostic or prognostic markers in medicine.