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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.
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Related Experiment Video

Updated: Jun 12, 2026

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish
11:42

Sample Preparation and Analysis of RNASeq-based Gene Expression Data from Zebrafish

Published on: October 27, 2017

RNA deep sequencing of the Atlantic cod transcriptome.

Steinar D Johansen1, Bård Ove Karlsen, Tomasz Furmanek

  • 1Bodø University College, Norway. Steinar.Johansen@uit.no

Comparative Biochemistry and Physiology. Part D, Genomics & Proteomics
|May 25, 2010
PubMed
Summary

Researchers are sequencing the Atlantic cod (Gadus morhua) transcriptome to understand gene expression across different life stages and tissues. This deep sequencing effort provides valuable genomic resources for this important aquaculture species.

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Last Updated: Jun 12, 2026

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Area of Science:

  • Aquaculture genomics
  • Marine biology
  • Transcriptomics

Background:

  • Atlantic cod (Gadus morhua) is a key species in marine aquaculture.
  • Genomic resources for Atlantic cod are under development.
  • Understanding gene expression is crucial for aquaculture development.

Purpose of the Study:

  • To characterize the Atlantic cod transcriptome using deep sequencing.
  • To analyze expressed genes across various developmental and tissue types.
  • To identify key RNA molecules, including mRNAs, intermediate RNAs, and microRNAs.

Main Methods:

  • Deep sequencing using Roche 454, Illumina GA, and ABI SOLiD platforms.
  • Bioinformatic analysis of sequencing data.
  • Investigation of both embryonic and adult tissues.

Main Results:

  • Comprehensive transcriptome data generated for Atlantic cod.
  • Analysis of nuclear and mitochondrial polyadenylated messenger RNAs (mRNAs).
  • Characterization of non-protein-coding intermediate RNAs and regulatory microRNAs.

Conclusions:

  • The study provides a valuable transcriptomic dataset for Atlantic cod.
  • These findings contribute to the genomic characterization of an emerging aquaculture species.
  • The identified RNA molecules offer insights into gene regulation and development in Atlantic cod.