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Related Concept Videos

RNA-seq03:21

RNA-seq

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 microarray-based...
Ribosome Profiling02:24

Ribosome Profiling

Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique helps...

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Related Experiment Video

Updated: May 7, 2026

AQRNA-seq for Quantifying Small RNAs
05:12

AQRNA-seq for Quantifying Small RNAs

Published on: February 2, 2024

RNA-Seq analysis of Mycobacterium avium non-coding transcriptome.

Dmitriy Ignatov1, Sofia Malakho, Konstantin Majorov

  • 1Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.

Plos One
|September 26, 2013
PubMed
Summary

Deep sequencing revealed Mycobacterium avium

Area of Science:

  • Microbiology
  • Molecular Biology
  • Genomics

Background:

  • Mycobacterium avium is a conditionally pathogenic bacterium.
  • Understanding its transcriptional landscape is crucial for elucidating its pathogenicity.
  • Previous studies have not fully characterized the transcriptome of M. avium.

Purpose of the Study:

  • To comprehensively analyze the transcriptional landscape of Mycobacterium avium using deep sequencing.
  • To identify transcription start points, 5' untranslated regions (UTRs), and small RNAs.
  • To compare the small RNA profiles of M. avium with those of Mycobacterium tuberculosis.

Main Methods:

  • Deep sequencing (RNA-Seq) for high-resolution transcriptome analysis.
  • Identification of transcription start points (TSPs) and 5' UTRs.

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  • Mapping of antisense RNAs and intergenic small RNAs (sRNAs).

    • Main Results:

    • Identified TSPs for 652 genes, with one-third being leaderless transcripts.
    • Determined the mean length of 5' UTRs to be 83 nt, with 6 containing riboswitches.
    • Mapped 87 antisense RNAs and 10 intergenic sRNAs, with 4.5S RNA and rnpB highly transcribed.
    • Found both conserved and unique intergenic sRNAs between M. avium and M. tuberculosis.
    • Demonstrated differential regulation of conserved sRNAs in the two species.

    Conclusions:

    • The study provides a high-resolution view of the M. avium transcriptome.
    • Distinct intergenic small RNA profiles may contribute to the different pathogenicities of M. avium and M. tuberculosis.
    • This research lays the groundwork for understanding the regulatory mechanisms in M. avium.