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Related Concept Videos

Genomic DNA in Prokaryotes00:46

Genomic DNA in Prokaryotes

The genome of most prokaryotic organisms consists of double-stranded DNA organized into one circular chromosome in a region of cytoplasm called the nucleoid. The chromosome is tightly wound, or supercoiled, for efficient storage. Prokaryotes also contain other circular pieces of DNA called plasmids. These plasmids are smaller than the chromosome and often carry genes that confer adaptive functions, such as antibiotic resistance.
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Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jul 13, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
06:40

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

Genome resources for the DT40 community.

Randolph B Caldwell1, Andrzej M Kierzek

  • 1GSF, Institute for Molecular Radiobiology, Ingolstaedter Landstr. 1, D-85764 Neuherberg-Munich, Germany.

Sub-Cellular Biochemistry
|July 13, 2007
PubMed
Summary

The chicken DT40 B cell line, known for high homologous recombination, benefits from expanded genomic data. This enhances gene function studies by integrating public databases and bioinformatics tools.

Area of Science:

  • Genomics
  • Cell Biology
  • Bioinformatics

Background:

  • The DT40 chicken B cell line is a valuable tool for gene function studies due to its high rate of homologous recombination.
  • Advancements in genomic information and public databases have significantly expanded research possibilities for the DT40 community.

Purpose of the Study:

  • To highlight the synergistic relationship between the DT40 cell line and the increasing availability of genomic and bioinformatics resources.
  • To underscore how integrated data resources enhance the study of gene function.

Main Methods:

  • Leveraging publicly available genomic data, including the chicken genome, ESTs, cDNAs, non-coding RNAs, and SAGE tags.
  • Utilizing bioinformatics tools and databases provided by leading institutions like NCBI, EMBL, DDBJ, and ExPASy.

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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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Last Updated: Jul 13, 2026

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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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  • Integrating experimental data with computational resources to facilitate gene function research.

    • Main Results:

    • The DT40 cell line's utility is amplified by the wealth of accessible genomic and transcriptomic data.
    • Bioinformatics resources provide essential support for sequence information, comparative genomics, and proteomics.
    • The combination of experimental and virtual science accelerates biological discovery.

    Conclusions:

    • The DT40 cell line, supported by extensive genomic and bioinformatics resources, represents a powerful platform for gene function research.
    • The integration of diverse data types and computational tools is crucial for advancing biological understanding.
    • Virtual science resources complement laboratory work, aiding researchers in their discoveries.