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 Experiment Videos

[Expanded model of lambda phage ontogeny].

G Kh Kananian, V A Ratner, R N Churaev

    Genetika
    |January 1, 1980
    PubMed
    Summary
    This summary is machine-generated.

    A new model of the regulatory system of development of lambda phage (RSDP lambda-2) was developed. Computer simulations accurately predict phage development dynamics and lysogenic response, matching experimental data.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    On principles of organization of polyreplicon systems.

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2014
    Same author

    Structural and functional analysis of the scute locus in Drosophila melanogaster.

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2013
    Same author

    [A method of intubation under visual control].

    Vestnik otorinolaringologii·2010
    Same author

    [Epigenetics: gene and epigene networks in ontogeny and phylogeny].

    Genetika·2006
    Same author

    [The frame of non-canonical theory of heredity: from genes to epigenes].

    Zhurnal obshchei biologii·2005
    Same author

    [Analysis of the expression system of gene radius incompletes in Drosophila melanogaster].

    Genetika·2004
    Same journal

    [Developing forensic reference database by 18 autosomal STR for DNA identification in Republic of Belarus].

    Genetika·2018
    Same journal

    [Assessment of the genetic distances between some species of the family Bradybaenidae (Mollusca, Pulmonata)].

    Genetika·2018
    Same journal

    [Molecular phylogenetic analysis of Diacyclops and Acanthocyclops (Copepoda: Cyclopoida) from Lake Baikal].

    Genetika·2018
    Same journal

    [Genetic diversity of the Pacific walrus (Odobenus rosmarus divergens) in the western part of the Chukchi Sea].

    Genetika·2018
    Same journal

    [The genetic diversity of burbot (Lota lota L., 1758) of Western Siberia (the analysis of the mtDNA control region polymorphism)].

    Genetika·2018
    Same journal

    [Fish growth hormone genes: Divergence of coding sequences in salmonid fishes].

    Genetika·2018
    See all related articles

    Area of Science:

    • Molecular Biology
    • Systems Biology
    • Computational Biology

    Context:

    • Bacteriophage lambda is a model organism for studying gene regulation and viral development.
    • Understanding phage-host interactions is crucial for controlling bacterial infections and developing phage therapy.
    • Previous models have simplified the complex regulatory network governing phage lambda's life cycle.

    Purpose:

    • To develop an enlarged threshold model of the regulatory system of development of lambda phage (RSDP lambda-2).
    • To simulate and describe the dynamics of proteins, mRNAs, and DNA during phage lambda's lytic and lysogenic lifecycles.
    • To investigate the relationship between phage infection multiplicity and the rate of lysogenic response.

    Summary:

    • The RSDP lambda-2 model incorporates 15 synthetic blocks for proteins/mRNAs and 4 for ontogenetic processes (replication, integration, exclusion, lysis).

    Related Experiment Videos

  • Computer simulations of the model accurately describe the concentration dynamics of key molecules in both lytic and lysogenic pathways.
  • The model predicts a maximum lysogenic response at a specific mean multiplicity of infection, aligning with experimental findings.
  • Impact:

    • Provides a comprehensive computational tool for studying phage lambda regulatory networks.
    • Enhances understanding of the molecular mechanisms underlying phage-host interactions.
    • Offers insights into optimizing phage therapy strategies by predicting infection outcomes.