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

Some stochastic models for plasmid copy number.

E Seneta, S Tavaré

    Theoretical Population Biology
    |April 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

    This study explores stochastic models for plasmid copy number within cell lines. Multitype branching processes help analyze cure rates and predict plasmid distribution in cell populations.

    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

    Using array-comparative genomic hybridization to define molecular portraits of primary breast cancers.

    Oncogene·2006
    Same author

    BioHMM: a heterogeneous hidden Markov model for segmenting array CGH data.

    Bioinformatics (Oxford, England)·2006
    Same author

    Recombination in the ompA gene but not the omcB gene of Chlamydia contributes to serovar-specific differences in tissue tropism, immune surveillance, and persistence of the organism.

    Journal of bacteriology·2001
    Same author

    Investigating stem cells in human colon by using methylation patterns.

    Proceedings of the National Academy of Sciences of the United States of America·2001
    Same author

    On a test of Depaulis and Veuille.

    Molecular biology and evolution·2001
    Same author

    A model for phylogenetic inference using structural and chemical covariates.

    Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2001
    Same journal

    Statistical test to compare the linkage model and the admixture model based on central limit results.

    Theoretical population biology·2026
    Same journal

    Threshold dynamics in age-structured distributions with expanding support: A unified mathematical framework.

    Theoretical population biology·2026
    Same journal

    Mechanistic-statistical model for the expansion of ash dieback.

    Theoretical population biology·2026
    Same journal

    Dynamics of an intraguild predation system with optimal foraging and harvesting.

    Theoretical population biology·2026
    Same journal

    Impact of co-occurrent assortative mating and vertical cultural transmission on measures of genetic associations.

    Theoretical population biology·2026
    Same journal

    The coalescent of a sample from a linear-fractional branching process.

    Theoretical population biology·2026
    See all related articles

    Area of Science:

    • Mathematical Biology
    • Cell Biology
    • Stochastic Processes

    Background:

    • Understanding plasmid dynamics is crucial for cell line engineering and biotechnology.
    • Stochastic fluctuations in plasmid copy number can significantly impact cellular behavior and productivity.

    Purpose of the Study:

    • To investigate and compare various stochastic models for plasmid copy number variation in cell lines.
    • To apply multitype branching processes to analyze population-level dynamics of plasmid-containing cells.

    Main Methods:

    • Development and analysis of stochastic models for plasmid replication and segregation.
    • Utilizing multitype branching process theory to model cell population evolution.
    • Numerical comparison of different models based on cure rate and plasmid distribution.

    Related Experiment Videos

    Main Results:

    • The study identifies appropriate stochastic models for describing plasmid copy number in cell lines.
    • Asymptotic fractions of cells with specific plasmid counts were determined.
    • The cure rate within the cell line was analyzed in relation to the models.

    Conclusions:

    • Multitype branching processes provide a suitable framework for studying cell line-wide plasmid dynamics.
    • The analyzed quantities (cure rate, asymptotic fractions) are effective for comparing different stochastic models.
    • This research offers insights into predicting and managing plasmid distribution in engineered cell populations.